8,747
Views
132
CrossRef citations to date
0
Altmetric
Reviews

From data to big data in production research: the past and future trends

ORCID Icon &
Pages 4828-4853 | Received 13 Oct 2017, Accepted 16 Jan 2018, Published online: 01 Mar 2018

References

  • Abbasimehr, H. , M. Setak , and J. Soroor . 2013. “A Framework for Identification of High-value Customers by including Social Network Based Variables for Churn Prediction Using Neuro-fuzzy Techniques.” International Journal of Production Research 51 (4): 1279–1294.10.1080/00207543.2012.707342
  • Abdolvand, N. , A. Albadvi , and M. Aghdasi . 2015. “Performance Management Using a Value-based Customer-centered Model.” International Journal of Production Research 53 (18): 5472–5483.10.1080/00207543.2015.1026613
  • Aberg, U. 1967. “An Approach to the Systematic Arrangement of Work Measurement Data.” International Journal of Production Research 6 (4): 257–268.10.1080/00207546708929785
  • Addo-Tenkorang, R. , and P. T. Helo . 2016. “Big Data Applications in Operations/Supply-chain Management: A Literature Review.” Computers & Industrial Engineering 101: 528–543.10.1016/j.cie.2016.09.023
  • Agard, B. , and A. Kusiak . 2004. “Data-mining-based Methodology for the Design of Product Families.” International Journal of Production Research 42 (15): 2955–2969.10.1080/00207540410001691929
  • Ahn, Y. , and S. H. Lee . 2017. “Classification and Prediction of Burr Formation in Micro Drilling of Ductile Metals.” International Journal of Production Research 55 (17): 4833–4846.10.1080/00207543.2016.1254355
  • Akcay, A. , and C. G. Corlu . 2017. “Simulation of Inventory Systems with Unknown Input Models: A Data-driven Approach.” International Journal of Production Research 55 (19): 5826–5840.10.1080/00207543.2017.1343503
  • Arcidiacono, G. , R. Berni , L. Cantone , and P. Placidoli . 2017. “Kriging Models for Payload Distribution Optimisation of Freight Trains.” International Journal of Production Research 55 (17): 4878–4890.10.1080/00207543.2016.1268275
  • Atzori, L. , A. Iera , and G. Morabito . 2010. “The Internet of Things: A Survey.” Computer Networks 54 (15): 2787–2805.10.1016/j.comnet.2010.05.010
  • Azadeh, A. , T. Nazari , and H. Charkhand . 2015. “Optimisation of Facility Layout Design Problem with Safety and Environmental Factors by Stochastic DEA and Simulation Approach.” International Journal of Production Research 53 (11): 3370–3389.10.1080/00207543.2014.986294
  • Azadeh, A. , M. Sheikhalishahi , M. Firoozi , and S. M. Khalili . 2013. “An Integrated Multi-criteria Taguchi Computer Simulation-DEA Approach for Optimum Maintenance Policy and Planning by Incorporating Learning Effects.” International Journal of Production Research 51 (18): 5374–5385.10.1080/00207543.2013.774496
  • Bao, L. , K. Wang , and R. Jin . 2014. “A Hierarchical Model for Characterising Spatial Wafer Variations.” International Journal of Production Research 52 (6): 1827–1842.10.1080/00207543.2013.849389
  • Bayraktar, E. , A. Gunasekaran , S. L. Koh , E. Tatoglu , M. Demirbag , and S. Zaim . 2010. “An Efficiency Comparison of Supply Chain Management and Information Systems Practices: A Study of Turkish and Bulgarian Small-and Medium-Sized Enterprises in Food Products and Beverages.” International Journal of Production Research 48 (2): 425–451.10.1080/00207540903174957
  • Ben-Arieh, D. , and E. Triantaphyllou . 1992. “Quantifying Data for Group Technology with Weighted Fuzzy Features.” International Journal of Production Research 30 (6): 1285–1299.10.1080/00207549208942957
  • Bi, Z. , L. Da Xu , and C. Wang . 2014. “Internet of Things for Enterprise Systems of Modern Manufacturing.” IEEE Transactions on Industrial Informatics 10 (2): 1537–1546.
  • Bischak, D. P. , and E. A. Silver . 2004. “Estimating the Out-of-control Rate from Control Chart Data in the Presence of Multiple Causes and Process Improvement.” International Journal of Production Research 42 (24): 5217–5233.10.1080/00207540412331281980
  • Boongasame, L. , P. Temdee , and F. Daneshgar . 2017. “A Group Signature Based Buyer Coalition Scheme with Trustable Third Party.” International Journal of Production Research 55 (17): 5050–5061.10.1080/00207543.2015.1076946
  • Boyer, S. A. 2009. “SCADA: Supervisory Control and Data Acquisition.” International Society of Automation [published online].
  • Braha, D. , Y. Elovici , and M. Last . 2007. “Theory of Actionable Data Mining with Application to Semiconductor Manufacturing Control.” International Journal of Production Research 45 (13): 3059–3084.10.1080/00207540600654475
  • Brintrup, A. , D. Ranasinghe , and D. McFarlane . 2010. “RFID Opportunity Analysis for Leaner Manufacturing.” International Journal of Production Research 48 (9): 2745–2764.10.1080/00207540903156517
  • Broomhead, P. , and M. Edkins . 1986. “Generating NC Data at the Machine Tool for the Manufacture of Free-form Surfaces.” International Journal of Production Research 24 (1): 1–14.10.1080/00207548608919706
  • Buddhakulsomsiri, J. , Y. Siradeghyan , A. Zakarian , and X. Li . 2006. “Association Rule-generation Algorithm for Mining Automotive Warranty Data.” International Journal of Production Research 44 (14): 2749–2770.10.1080/00207540600564633
  • Buyya, R. , C. S. Yeo , S. Venugopal , J. Broberg , and I. Brandic . 2009. “Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility.” Future Generation Computer Systems 25 (6): 599–616.10.1016/j.future.2008.12.001
  • Caramia, M. , and G. Felici . 2006. “Mining Relevant Information on the Web: A Clique-based Approach.” International Journal of Production Research 44 (14): 2771–2787.10.1080/00207540600693713
  • Chae, B. , D. Olson , and C. Sheu . 2014. “The Impact of Supply Chain Analytics on Operational Performance: A Resource-based View.” International Journal of Production Research 52 (16): 4695–4710.10.1080/00207543.2013.861616
  • Chakravorty, S. S. , and D. N. Hales . 2017. “Sustainability of Process Improvements: An Application of the Experiential Learning Model (ELM).” International Journal of Production Research 55 (17): 4931–4947.
  • Chan, H. K. , E. Lacka , R. W. Yee , and M. K. Lim . 2017. “The Role of Social Media Data in Operations and Production Management.” International Journal of Production Research 55 (17): 5027–5036.10.1080/00207543.2015.1053998
  • Chandrasekharan, M. P. , and R. Rajagopalan . 1989. “GROUPABIL1TY: An Analysis of the Properties of Binary Data Matrices for Group Technology.” International Journal of Production Research 27 (6): 1035–1052.10.1080/00207548908942606
  • Chang, S. Y. , and T. H. Chen . 2008. “Performance Ranking of Asian Lead Frame Firms: A Slack-Based Method in Data Envelopment Analysis.” International Journal of Production Research 46 (14): 3875–3885.10.1080/00207540701197044
  • Chang, D. S. , Y. C. Kuo , and T. Y. Chen . 2008. “Productivity Measurement of the Manufacturing Process for Outsourcing Decisions: The Case of a Taiwanese Printed Circuit Board Manufacturer.” International Journal of Production Research 46 (24): 6981–6995.10.1080/00207540701429934
  • Chen, M. C. , C. C. Hsu , B. Malhotra , and M. K. Tiwari . 2016. “An Efficient ICA-DW-SVDD Fault Detection and Diagnosis Method for Non-Gaussian Processes.” International Journal of Production Research 54 (17): 5208–5218.10.1080/00207543.2016.1161250
  • Chen, M. C. , C. T. Su , C. C. Hsu , and Y. W. Liu . 2005. “Data Transformation in SPC for Semiconductor Machinery Control: A Case of Monitoring Particles.” International Journal of Production Research 43 (13): 2759–2773.10.1080/00207540500070475
  • Chen, K. S. , K. J. Wang , and T. C. Chang . 2017. “A Novel Approach to Deriving the Lower Confidence Limit of Indices C Pu, C Pl, and C Pk in Assessing Process Capability.” International Journal of Production Research : 1–19.
  • Chiang, Y. M. , and F. L. Chen . 1999. “Sculptured Surface Reconstruction from CMM Measurement Data by a Software Iterative Approach.” International Journal of Production Research 37 (8): 1679–1695.10.1080/002075499190950
  • Chien, C. F. , S. C. Hsu , and Y. J. Chen . 2013. “A System for Online Detection and Classification of Wafer Bin Map Defect Patterns for Manufacturing Intelligence.” International Journal of Production Research 51 (8): 2324–2338.10.1080/00207543.2012.737943
  • Chien, C. F. , C. W. Liu , and S. C. Chuang . 2017. “Analysing Semiconductor Manufacturing Big Data for Root Cause Detection of Excursion for Yield Enhancement.” International Journal of Production Research 55 (17): 5095–5107.10.1080/00207543.2015.1109153
  • Chinnam, R. B. , and P. Baruah . 2009. “Autonomous Diagnostics and Prognostics in Machining Processes through Competitive Learning-driven HMM-based Clustering.” International Journal of Production Research 47 (23): 6739–6758.10.1080/00207540802232930
  • Chong, A. Y. L. , E. Ch’ng , M. J. Liu , and B. Li . 2017. “Predicting Consumer Product Demands via Big Data: The Roles of Online Promotional Marketing and Online Reviews.” International Journal of Production Research 55 (17): 5142–5156.10.1080/00207543.2015.1066519
  • Chou, C. Y. , C. H. Chen , and H. R. Liu . 2001. “Economic Design of X Charts for Non-normally Correlated Data.” International Journal of Production Research 39 (9): 1931–1941.10.1080/00207540110034913
  • Chun, Y. , and B. Bidanda . 2013. “Sustainable Manufacturing and the Role of the International Journal of Production Research.” International Journal of Production Research 51 (23–24): 7448–7455.10.1080/00207543.2012.762135
  • Colosimo, B. M. , and M. Pacella . 2010. “A Comparison Study of Control Charts for Statistical Monitoring of Functional Data.” International Journal of Production Research 48 (6): 1575–1601.10.1080/00207540802662888
  • Cui, D. , G. Feng , P. Zhou , and Y. Zhang . 2017. “Parametric Design-based Multi-objective Optimisation for High-pressure Turbine Disc.” International Journal of Production Research 55 (17): 4847–4861.10.1080/00207543.2016.1259669
  • Da Cunha, C. , B. Agard , and A. Kusiak . 2006. “Data Mining for Improvement of Product Quality.” International Journal of Production Research 44 (18–19): 4027–4041.10.1080/00207540600678904
  • Da Cunha, C. , B. Agard , and A. Kusiak . 2010. “Selection of Modules for Mass Customisation.” International Journal of Production Research 48 (5): 1439–1454.10.1080/00207540802473989
  • Das, D. , S. Zhou , Y. Chen , and J. Horst . 2016. “Statistical Monitoring of Over-dispersed Multivariate Count Data Using Approximate Likelihood Ratio Tests.” International Journal of Production Research 54 (21): 6579–6593.10.1080/00207543.2015.1126373
  • Davenport, T. H. , and J. Dyché (2013). “Big Data in Big Companies.” International Institute for Analytics [published online].
  • Dengiz, O. , A. E. Smith , and I. Nettleship . 2006. “Two-stage Data Mining for Flaw Identification in Ceramics Manufacture.” International Journal of Production Research 44 (14): 2839–2851.10.1080/00207540500534454
  • Dev, N. K. , R. Shankar , A. Gunasekaran , and L. S. Thakur . 2016. “A Hybrid Adaptive Decision System for Supply Chain Reconfiguration.” International Journal of Production Research 54 (23): 7100–7114.10.1080/00207543.2015.1134842
  • Ding, D. , F. Tsung , and J. Li . 2016. “Directional Control Schemes for Processes with Mixed-type Data.” International Journal of Production Research 54 (6): 1594–1609.10.1080/00207543.2015.1023402
  • Dotoli, M. , and M. Falagario . 2012. “A Hierarchical Model for Optimal Supplier Selection in Multiple Sourcing Contexts.” International Journal of Production Research 50 (11): 2953–2967.10.1080/00207543.2011.578167
  • Dotoli, M. , N. Epicoco , and M. Falagario . 2017. “A Fuzzy Technique for Supply Chain Network Design with Quantity Discounts.” International Journal of Production Research 55 (7): 1862–1884.10.1080/00207543.2016.1178408
  • Dubey, R. , A. Gunasekaran , S. J. Childe , S. F. Wamba , and T. Papadopoulos . 2016. “The Impact of Big Data on World-class Sustainable Manufacturing.” The International Journal of Advanced Manufacturing Technology 84 (1–4): 631–645.10.1007/s00170-015-7674-1
  • Edgar, T. F. , and E. N. Pistikopoulos . 2017. “Smart Manufacturing and Energy Systems.” Computers & Chemical Engineering [published online].
  • Evans, L. , N. Lohse , K. H. Tan , P. Webb , and M. Summers . 2012. “Justification for the Selection of Manufacturing Technologies: A Fuzzy-decision-tree-based Approach.” International Journal of Production Research 50 (23): 6945–6962.10.1080/00207543.2011.638943
  • Feng, J. X. , and A. Kusiak . 2006. “Data Mining Applications in Engineering Design, Manufacturing and Logistics.” International Journal of Production Research 44 (14): 2689–2694.10.1080/00207540600681072
  • Forbes . 2017. China Shuts down Tens of Thousands of Factories in Widespread Pollution Crackdown . Accessed 13 December 2017. https://www.forbes.com/sites/trevornace/2017/10/24/china-shuts-down-tens-of-thousands-of-factories-in-widespread-pollution-crackdown/
  • Foroughi, A. A. 2012. “A Modified Common Weight Model for Maximum Discrimination in Technology Selection.” International Journal of Production Research 50 (14): 3841–3846.10.1080/00207543.2011.593201
  • Forza, C. , and F. Salvador . 2008. “Application Support to Product Variety Management.” International Journal of Production Research 46 (3): 817–836.10.1080/00207540600818278
  • Franklin Liu, F. H. , and Y. Cheng Liu . 2008. “Product Line Performance Assessment on Order Fulfilment Cycle Time: A Case of Microelectronic Communication Company.” International Journal of Production Research 46 (16): 4431–4443.10.1080/00207540600733543
  • Godinho Filho, M. , A. G. Marchesini , J. Riezebos , N. Vandaele , and G. M. D. Ganga . 2017. “The Extent of Knowledge of Quick Response Manufacturing Principles: An Exploratory Transnational Study.” International Journal of Production Research 55 (17): 4891–4911.10.1080/00207543.2016.1268729
  • Grasso, M. , B. M. Colosimo , and M. Pacella . 2014. “Profile Monitoring via Sensor Fusion: The Use of PCA Methods for Multi-Channel Data.” International Journal of Production Research 52 (20): 6110–6135.10.1080/00207543.2014.916431
  • Grasso, M. , B. M. Colosimo , and F. Tsung . 2017. “A Phase I Multi-modelling Approach for Profile Monitoring of Signal Data.” International Journal of Production Research 55 (15): 4354–4377.10.1080/00207543.2016.1251626
  • Gubbi, J. , R. Buyya , S. Marusic , and M. Palaniswami . 2013. “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions.” Future Generation Computer Systems 29 (7): 1645–1660.10.1016/j.future.2013.01.010
  • Guh, R. S. , Y. R. Shiue , and T. Y. Tseng . 2011. “The Study of Real Time Scheduling by an Intelligent Multi-controller Approach.” International Journal of Production Research 49 (10): 2977–2997.10.1080/00207541003794884
  • Gunaratne, N. G. T. , M. A. Abdollahian , S. Huda , and J. Yearwood . 2017. “Exponentially Weighted Control Charts to Monitor Multivariate Process Variability for High Dimensions.” International Journal of Production Research 55 (17): 4948–4962.10.1080/00207543.2016.1278081
  • Gupta, T. , and H. I. Seifoddini . 1990. “Production Data Based Similarity Coefficient for Machine-component Grouping Decisions in the Design of a Cellular Manufacturing System.” International Journal of Production Research 28 (7): 1247–1269.10.1080/00207549008942791
  • Gürbüz, F. , İ. Eski , B. Denizhan , and C. Dağlı . 2017. “Prediction of Damage Parameters of a 3PL Company via Data Mining and Neural Networks.” Journal of Intelligent Manufacturing 1: 1–13.
  • Hasani, A. , S. H. Zegordi , and E. Nikbakhsh . 2012. “Robust Closed-loop Supply Chain Network Design for Perishable Goods in Agile Manufacturing Under Uncertainty.” International Journal of Production Research 50 (16): 4649–4669.10.1080/00207543.2011.625051
  • He, Q. P. , and J. Wang . 2017. “Statistical Process Monitoring as a Big Data Analytics Tool for Smart Manufacturing.” Journal of Process Control [published online].
  • He, W. , and L. Xu . 2015. “A State-of-the-Art Survey of Cloud Manufacturing.” International Journal of Computer Integrated Manufacturing 28 (3): 239–250.10.1080/0951192X.2013.874595
  • He, Z. , L. Zuo , M. Zhang , and F. M. Megahed . 2016. “An Image-based Multivariate Generalized Likelihood Ratio Control Chart for Detecting and Diagnosing Multiple Faults in Manufactured Products.” International Journal of Production Research 54 (6): 1771–1784.10.1080/00207543.2015.1062569
  • Hoberg, K. , F. Badorf , and L. Lapp . 2017. “The Inverse Hockey Stick Effect: An Empirical Investigation of the Fiscal Calendar’s Impact on Firm Inventories.” International Journal of Production Research 55 (16): 4601–4624.10.1080/00207543.2016.1269969
  • Hoffer, J. A. 2011. Modern Database Management . 10th ed. Pearson Education India.
  • Hofmann, E. 2017. “Big Data and Supply Chain Decisions: The Impact of Volume, Variety and Velocity Properties on the Bullwhip Effect.” International Journal of Production Research 55 (17): 5108–5126.10.1080/00207543.2015.1061222
  • Hou, J. L. , and S. T. Yang . 2006. “Technology-mining Model concerning Operation Characteristics of Technology and Service Providers.” International Journal of Production Research 44 (16): 3345–3365.10.1080/00207540500490996
  • Hsu, C. Y. , S. S. Lim , and C. S. Yang . 2017. “Data Mining for Enhanced Driving Effectiveness: An Eco-driving Behaviour Analysis Model for Better Driving Decisions.” International Journal of Production Research 55 (23): ​ 7096–7109.
  • Huang, C. C. , T. L. Tseng , H. F. Chuang , and H. F. Liang . 2006. “Rough-set-based Approach to Manufacturing Process Document Retrieval.” International Journal of Production Research 44 (14): 2889–2911.10.1080/00207540600654517
  • Hwang, W. Y. 2016. “Cluster-based Artificial Contrasts for Inhomogeneously Distributed Data with an Indicator Variable.” International Journal of Production Research 54 (17): 5045–5055.10.1080/00207543.2015.1075667
  • Hwarng, H. B. 1995. “Multilayer Perceptions for Detecting Cyclic Data on Control Charts.” International Journal of Production Research 33 (11): 3101–3117.
  • Jain, S. , G. Shao , and S. J. Shin . 2017. “Manufacturing Data Analytics Using a Virtual Factory Representation.” International Journal of Production Research 55 (18): 5450–5464.10.1080/00207543.2017.1321799
  • Jayaswal, S. , and G. K. Adil . 2004. “Efficient Algorithm for Cell Formation with Sequence Data, Machine Replications and Alternative Process Routings.” International Journal of Production Research 42 (12): 2419–2433.10.1080/00207540310001652914
  • Jeong, M. K. , J. C. Lu , and N. Wang . 2006. “Wavelet-based SPC Procedure for Complicated Functional Data.” International Journal of Production Research 44 (4): 729–744.10.1080/00207540500222647
  • Jiang, C. , Y. Liu , Y. Ding , K. Liang , and R. Duan . 2017. “Capturing Helpful Reviews from Social Media for Product Quality Improvement: A Multi-class Classification Approach.” International Journal of Production Research 55 (12): 3528–3541.10.1080/00207543.2017.1304664
  • Jiang, Q. , X. Yan , Z. Lv , and M. Guo . 2014. “Independent Component Analysis-based Non-Gaussian Process Monitoring with Preselecting Optimal Components and Support Vector Data Description.” International Journal of Production Research 52 (11): 3273–3286.10.1080/00207543.2013.870362
  • Ji-fan Ren, S. , S. Fosso Wamba , S. Akter , R. Dubey , and S. J. Childe . 2017. “Modelling Quality Dynamics, Business Value and Firm Performance in a Big Data Analytics Environment.” International Journal of Production Research 55 (17): 5011–5026.10.1080/00207543.2016.1154209
  • Jin, Y. , and Y. Ishino . 2006. “DAKA: Design Activity Knowledge Acquisition through Data-mining.” International Journal of Production Research 44 (14): 2813–2837.10.1080/00207540600654533
  • Jin, J. , Y. Liu , P. Ji , and H. Liu . 2016. “Understanding Big Consumer Opinion Data for Market-driven Product Design.” International Journal of Production Research 54 (10): 3019–3041.10.1080/00207543.2016.1154208
  • Jin, X. , B. W. Wah , X. Cheng , and Y. Wang . 2015. “Significance and Challenges of Big Data Research.” Big Data Research 2 (2): 59–64.10.1016/j.bdr.2015.01.006
  • Johansson, B. , A. Skoogh , J. Andersson , K. Ahlberg , and L. Hanson . 2015. “Power-level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation.” International Journal of Production Research 53 (23): 7060–7070.10.1080/00207543.2014.980456
  • Joo, S. J. , and H. C. P. Choi . 2015. “Assessing Comparative Production Efficiencies for Product Line Management.” International Journal of Production Research 53 (17): 5241–5250.10.1080/00207543.2015.1015749
  • Kacar, N. B. , and R. Uzsoy . 2014. “A Comparison of Multiple Linear Regression Approaches for Fitting Clearing Functions to Empirical Data.” International Journal of Production Research 52 (11): 3164–3184.10.1080/00207543.2013.864052
  • Kanagawa, A. , F. Tamaki , and H. Ohta . 1993. “Control Charts for Process Average and Variability Based on Linguistic Data.” International Journal of Production Research 31 (4): 913–922.10.1080/00207549308956765
  • Kang, H. S. , J. Y. Lee , S. Choi , H. Kim , J. H. Park , J. Y. Son , B. H. Kim , and S. Do Noh . 2016. “Smart Manufacturing: Past Research, Present Findings, and Future Directions.” International Journal of Precision Engineering and Manufacturing-Green Technology 3 (1): 111–128.10.1007/s40684-016-0015-5
  • Kang, C. W. , M. B. Ramzan , B. Sarkar , and M. Imran . 2018. “Effect of Inspection Performance in Smart Manufacturing System Based on Human Quality Control System.” The International Journal of Advanced Manufacturing Technology  94 (9–12): ​ 4351–4364.
  • Kendrick, C. 1961. “Estimation of Service Requirements for Production Purposes.” International Journal of Production Research 1 (1): 1–12.
  • Kengpol, A. , and S. Tuammee . 2016. “The Development of a Decision Support Framework for a Quantitative Risk Assessment in Multimodal Green Logistics: An Empirical Study.” International Journal of Production Research 54 (4): 1020–1038.10.1080/00207543.2015.1041570
  • Kim, K. J. , and H. Ahn . 2017. “Parametric Empirical Bayes Estimation of Individual Time-pressure Reactivity.” International Journal of Production Research 644: 1–12.10.1080/00207543.2017.1380321
  • Kim, Y. S. , and W. J. Kolarik . 1992. “Real-time Conditional Reliability Prediction from On-line Tool Performance Data.” International Journal of Production Research 30 (8): 1831–1844.10.1080/00207549208948125
  • Kim, S. , and D. A. Nembhard . 2013. “Rule Mining for Scheduling Cross Training with a Heterogeneous Workforce.” International Journal of Production Research 51 (8): 2281–2300.10.1080/00207543.2012.716169
  • Kitchin, R. 2014. “Big Data, New Epistemologies and Paradigm Shifts.” Big Data & Society [published online].
  • Kumar, A. , R. Shankar , A. Choudhary , and L. S. Thakur . 2016. “A Big Data MapReduce Framework for Fault Diagnosis in Cloud-based Manufacturing.” International Journal of Production Research 54 (23): 7060–7073.10.1080/00207543.2016.1153166
  • Kuo, R. J. , and Y. J. Lin . 2012. “Supplier Selection Using Analytic Network Process and Data Envelopment Analysis.” International Journal of Production Research 50 (11): 2852–2863.10.1080/00207543.2011.559487
  • Kusiak, A. 1987. “The Generalized Group Technology Concept.” International Journal of Production Research 25 (4): 561–569.10.1080/00207548708919861
  • Kusiak, A. 2006. “Data Mining: Manufacturing and Service Applications.” International Journal of Production Research 44 (18–19): 4175–4191.10.1080/00207540600632216
  • Kusiak, A. 2017. “Smart Manufacturing Must Embrace Big Data.” Nature 544 (7648): 23–25.10.1038/544023a
  • Kusiak, A. 2018. “Smart Manufacturing.” International Journal of Production Research http://www.tandfonline.com/doi/full/10.1080/00207543.2017.1351644.
  • Kwak, D. S. , K. J. Kim , and M. S. Lee . 2010. “Multistage PRIM: Patient Rule Induction Method for Optimisation of a Multistage Manufacturing Process.” International Journal of Production Research 48 (12): 3461–3473.10.1080/00207540902791827
  • Lechevalier, D. , S. J. Shin , S. Rachuri , S. Foufou , Y. T. Lee , and A. Bouras . 2017. “Simulating a Virtual Machining Model in an Agent-based Model for Advanced Analytics.” Journal of Intelligent Manufacturing [published online].
  • Lee, C. K. H. 2017. “A GA-based Optimisation Model for Big Data Analytics Supporting Anticipatory Shipping in Retail 4.0.” International Journal of Production Research 55 (2): 593–605.10.1080/00207543.2016.1221162
  • Lee, A. C. , D. P. Chen , and C. L. Lin . 1990. “A CAD/CAM System from 3D Coordinate Measuring Data.” International Journal of Production Research 28 (12): 2353–2371.10.1080/00207549008942871
  • Lee, J. Y. , M. Swink , and T. Pandejpong . 2017. “Team Diversity and Manufacturing Process Innovation Performance: The Moderating Role of Technology Maturity.” International Journal of Production Research 55 (17): 4912–4930.10.1080/00207543.2016.1272765
  • Li, L. 2009. “Bottleneck Detection of Complex Manufacturing Systems Using a Data-driven Method.” International Journal of Production Research 47 (24): 6929–6940.10.1080/00207540802427894
  • Li, L. , Q. Chang , and J. Ni . 2009. “Data Driven Bottleneck Detection of Manufacturing Systems.” International Journal of Production Research 47 (18): 5019–5036.10.1080/00207540701881860
  • Li, D. C. , W. C. Chen , C. J. Chang , C. C. Chen , and I. H. Wen . 2015. “Practical Information Diffusion Techniques to Accelerate New Product Pilot Runs.” International Journal of Production Research 53 (17): 5310–5319.10.1080/00207543.2015.1032437
  • Li, D. C. , and W. L. Dai . 2009. “Determining the Optimal Collaborative Benchmarks in a Supply Chain.” International Journal of Production Research 47 (16): 4457–4471.10.1080/00207540801918588
  • Li, F. , G. C. Runger , and E. Tuv . 2006. “Supervised Learning for Change-point Detection.” International Journal of Production Research 44 (14): 2853–2868.10.1080/00207540600669846
  • Li, J. R. , and Q. H. Wang . 2010. “A Rough Set Based Data Mining Approach for House of Quality Analysis.” International Journal of Production Research 48 (7): 2095–2107.10.1080/00207540802665907
  • Li, D. , and X. Wang . 2017. “Dynamic Supply Chain Decisions Based on Networked Sensor Data: An Application in the Chilled Food Retail Chain.” International Journal of Production Research 55 (17): 5127–5141.10.1080/00207543.2015.1047976
  • Li, Z. , Y. Wang , and K. Wang . 2017. “A Data-driven Method Based on Deep Belief Networks for Backlash Error Prediction in Machining Centers.” Journal of Intelligent Manufacturing [published online].
  • Li, D. C. , I. H. Wen , and W. C. Chen . 2016. “A Novel Data Transformation Model for Small Data-set Learning.” International Journal of Production Research 54 (24): 7453–7463.10.1080/00207543.2016.1192301
  • Li, B. M. , and S. Q. Xie . 2015. “Module Partition for 3D CAD Assembly Models: A Hierarchical Clustering Method Based on Component Dependencies.” International Journal of Production Research 53 (17): 5224–5240.10.1080/00207543.2015.1015748
  • Liao, M. Y. 2015. “Assessing Process Incapability When Collecting Data from Multiple Batches.” International Journal of Production Research 53 (7): 2041–2054.10.1080/00207543.2014.952796
  • Liu, J. Y. , M. Xie , T. N. Goh , and L. Y. Chan . 2007. “A Study of EWMA Chart with Transformed Exponential Data.” International Journal of Production Research 45 (3): 743–763.10.1080/00207540600792598
  • Liu, C. , K. Yasuda , Y. Yin , and K. Tanaka . 2009. “Uncertain Association Rule Mining Algorithm for the Cell Formation Problem in Cellular Manufacturing Systems.” International Journal of Production Research 47 (3): 667–685.10.1080/00207540701501849
  • Lu, S. C. , and I. Ham . 1989. “Machine Learning Techniques for Group Technology Applications.” CIRP Annals 38 (1): 455–459.10.1016/S0007-8506(07)62745-0
  • Lu, W. M. , and S. W. Hung . 2010. “Assessing the Performance of a Vertically Disintegrated Chain by the DEA Approach – A Case Study of Taiwanese Semiconductor Firms.” International Journal of Production Research 48 (4): 1155–1170.10.1080/00207540802484929
  • Lu, W. M. , W. K. Wang , and H. L. Lee . 2013. “The Relationship between Corporate Social Responsibility and Corporate Performance: Evidence from the US Semiconductor Industry.” International Journal of Production Research 51 (19): 5683–5695.10.1080/00207543.2013.776186
  • Manikas, A. , L. Boyd , Q. Pang , and J. Guan . 2017. “An Analysis of Research Methods in IJPR since Inception.” International Journal of Production Research [published online].
  • Manyika, J. , Chui, M. , Brown, B. , Bughin, J. , Dobbs, R. , Roxburgh, C. , and Byers, A. H. 2011. Big Data: The Next Frontier for Innovation, Competition, and Productivity . Seattle, WA: McKinsey Global Institute.
  • Martí Bigorra, A. , and O. Isaksson . 2017. “Combining Customer Needs and the Customer’s Way of Using the Product to Set Customer-focused Targets in the House of Quality.” International Journal of Production Research 55 (8): 2320–2335.10.1080/00207543.2016.1238114
  • Melnyk, S. A. , C. W. Zobel , J. R. Macdonald , and S. E. Griffis . 2014. “Making Sense of Transient Responses in Simulation Studies.” International Journal of Production Research 52 (3): 617–632.10.1080/00207543.2013.803626
  • Metan, G. , I. Sabuncuoglu , and H. Pierreval . 2010. “Real Time Selection of Scheduling Rules and Knowledge Extraction via Dynamically Controlled Data Mining.” International Journal of Production Research 48 (23): 6909–6938.10.1080/00207540903307581
  • Mittal, S. , Khan, M. A. , Romero ,D. , and Wuest ,T. 2017. Smart Manufacturing: Characteristics, Technologies and Enabling Factors. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [published online].
  • Mousavi, A. , and H. R. A. Siervo . 2017. “Automatic Translation of Plant Data into Management Performance Metrics: A Case for Real-time and Predictive Production Control.” International Journal of Production Research 55 (17): 4862–4877.10.1080/00207543.2016.1265682
  • Nair, G. J. 1999. “Accord: A Bicriterion Algorithmfor Cell Formation Using Ordinal and Ratio-level Data.” International Journal of Production Research 37 (3): 539–556.10.1080/002075499191661
  • Nair, G. J. , and T. T. Narendran . 1998. “CASE: A Clustering Algorithm for Cell Formation with Sequence Data.” International Journal of Production Research 36 (1): 157–180.10.1080/002075498193985
  • Nasser, T. , and R. S. Tariq . 2015. “Big Data Challenges.” Journal of Computer Engineering & Information Technology 4 (3) [published online].
  • Neaga, E. I. , and J. A. Harding . 2005. “An Enterprise Modeling and Integration Framework Based on Knowledge Discovery and Data Mining.” International Journal of Production Research 43 (6): 1089–1108.10.1080/00207540412331322939
  • Ngai, E. W. 2010. “RFID Technology and Applications in Production and Supply Chain Management.” International Journal of Production Research 48 (9): 2481–2483.10.1080/00207540903564892
  • Ngai, E. W. , A. Gunasekaran , S. F. Wamba , S. Akter , and R. Dubey . 2017. “Big Data Analytics in Electronic Markets.” Electronic Markets 27 (3): 243–245.10.1007/s12525-017-0261-6
  • Nikula, R. P. , K. Karioja , K. Leiviskä , and E. Juuso . 2017. “Prediction of Mechanical Stress in Roller Leveler Based on Vibration Measurements and Steel Strip Properties.” Journal of Intelligent Manufacturing [published online].
  • Noh, C. H. , S. L. Lee , D. H. Kim , C. W. Chung , and S. H. Kim . 2010. “An Effective and Efficient Defect Inspection System for TFT-LCD Polarised Films Using Adaptive Thresholds and Shape-based Image Analyses.” International Journal of Production Research 48 (17): 5115–5135.10.1080/00207540903117899
  • O’Keefe, R. M. , and J. Haddock . 1991. “Data-driven Generic Simulators for Flexible Manufacturing Systems.” International Journal of Production Research 29 (9): 1795–1810.10.1080/00207549108948050
  • Omar, R. S. M. , U. Venkatadri , C. Diallo , and S. Mrishih . 2017. “A Data-driven Approach to Multi-Product Production Network Planning.” International Journal of Production Research 55 (23): 7110–7134.
  • Pang, K. W. , and H. L. Chan . 2017. “Data Mining-based Algorithm for Storage Location Assignment in a Randomised Warehouse.” International Journal of Production Research 55 (14): 4035–4052.10.1080/00207543.2016.1244615
  • Pang, G. , and B. Gebka . 2017. “Forecasting Container Throughput Using Aggregate or Terminal-Specific Data? The Case of Tanjung Priok Port, Indonesia.” International Journal of Production Research 55 (9): 2454–2469.10.1080/00207543.2016.1227102
  • Papinniemi, J. , L. Hannola , and M. Maletz . 2014. “Challenges in Integrating Requirements Management with PLM.” International Journal of Production Research 52 (15): 4412–4423.10.1080/00207543.2013.849011
  • Parmar, D. , T. Wu , T. Callarman , J. Fowler , and P. Wolfe . 2010. “A Clustering Algorithm for Supplier Base Management.” International Journal of Production Research 48 (13): 3803–3821.10.1080/00207540902942891
  • Parthiban, P. , H. A. Zubar , and P. Katakar . 2013. “Vendor Selection Problem: A Multi-criteria Approach Based on Strategic Decisions.” International Journal of Production Research 51 (5): 1535–1548.10.1080/00207543.2012.709644
  • Pjevcevic, D. , M. Nikolic , N. Vidic , and K. Vukadinovic . 2017. “Data Envelopment Analysis of AGV Fleet Sizing at a Port Container Terminal.” International Journal of Production Research 55 (14): 4021–4034.10.1080/00207543.2016.1241445
  • Qian, Z. , W. Jiang , and K. L. Tsui . 2006. “Churn Detection via Customer Profile Modelling.” International Journal of Production Research 44 (14): 2913–2933.10.1080/00207540600632240
  • Quariguasi Frota Neto, J. , G. Walther , J. A. E. E. Bloemhof , J. A. E. E. Van Nunen , and T. Spengler . 2010. “From Closed-loop to Sustainable Supply Chains: The WEEE Case.” International Journal of Production Research 48 (15): 4463–4481.10.1080/00207540902906151
  • Raheja, D. , J. Llinas , R. Nagi , and C. Romanowski . 2006. “Data Fusion/Data Mining-based Architecture for Condition-based Maintenance.” International Journal of Production Research 44 (14): 2869–2887.10.1080/00207540600654509
  • Ramos, A. R. , J. M. B. de Lázaro , A. Prieto-Moreno , A. J. da Silva Neto , and O. Llanes-Santiago . 2017. “An Approach to Robust Fault Diagnosis in Mechanical Systems Using Computational Intelligence.” Journal of Intelligent Manufacturing [published online].
  • Ren, L. , L. Zhang , L. Wang , F. Tao , and X. Chai . 2017. “Cloud Manufacturing: Key Characteristics and Applications.” International Journal of Computer Integrated Manufacturing 30 (6): 501–515.10.1080/0951192X.2014.902105
  • Riegler, M. , N. André , M. Gronalt , and T. M. Young . 2015. “Real-time Dynamic Simulation of Continuous Bulk Material Flow to Improve the Statistical Modelling of Final Product Strength Properties.” International Journal of Production Research 53 (21): 6629–6636.10.1080/00207543.2015.1055844
  • Sarkis, J. , and J. Dijkshoorn . 2007. “Relationships between Solid Waste Management Performance and Environmental Practice Adoption in Welsh Small and Medium-sized Enterprises (SMEs).” International Journal of Production Research 45 (21): 4989–5015.10.1080/00207540600690529
  • Sevkli, M. , S. C. Lenny Koh , S. Zaim , M. Demirbag , and E. Tatoglu . 2007. “An Application of Data Envelopment Analytic Hierarchy Process for Supplier Selection: A Case Study of BEKO in Turkey.” International Journal of Production Research 45 (9): 1973–2003.10.1080/00207540600957399
  • Shabanpour, H. , S. Yousefi , and R. F. Saen . 2017. “Forecasting Efficiency of Green Suppliers by Dynamic Data Envelopment Analysis and Artificial Neural Networks.” Journal of Cleaner Production 142: 1098–1107.10.1016/j.jclepro.2016.08.147
  • Shafaei, R. , and P. Brunn . 1999a. “Workshop Scheduling Using Practical (Inaccurate) Data Part 1: The Performance of Heuristic Scheduling Rules in a Dynamic Job Shop Environment Using a Rolling Time Horizon Approach.” International Journal of Production Research 37 (17): 3913–3925.10.1080/002075499189835
  • Shafaei, R. , and P. Brunn . 1999b. “Workshop Scheduling Using Practical (Inaccurate) Data Part 2: An Investigation of the Robustness of Scheduling Rules in a Dynamic and Stochastic Environment.” International Journal of Production Research 37 (18): 4105–4117.10.1080/002075499189682
  • Shao, X. Y. , Z. H. Wang , P. G. Li , and C. X. J. Feng . 2006. “Integrating Data Mining and Rough Set for Customer Group-based Discovery of Product Configuration Rules.” International Journal of Production Research 44 (14): 2789–2811.10.1080/00207540600675777
  • Shaw, M. J. , and A. B. Whinston . 1989. “An Artificial Intelligence Approach to the Scheduling of Flexible Manufacturing Systems.” IIE Transactions 21 (2): 170–183.10.1080/07408178908966221
  • Shin, S. J. , J. Woo , D. B. Kim , S. Kumaraguru , and S. Rachuri . 2016. “Developing a Virtual Machining Model to Generate MTConnect Machine-Monitoring Data from STEP-NC.” International Journal of Production Research 54 (15): 4487–4505.10.1080/00207543.2015.1064182
  • Shiue, Y. R. 2009. “Data-mining-based Dynamic Dispatching Rule Selection Mechanism for Shop Floor Control Systems Using a Support Vector Machine Approach.” International Journal of Production Research 47 (13): 3669–3690.10.1080/00207540701846236
  • Shore, H. 1998. “A New Approach to Analysing Non-normal Quality Data with Application to Process Capability Analysis.” International Journal of Production Research 36 (7): 1917–​1933.
  • Skinner, K. R. , D. C. Montgomery , and G. C. Runger . 2003. “Process Monitoring for Multiple Count Data Using Generalized Linear Model-based Control Charts.” International Journal of Production Research 41 (6): 1167–1180.10.1080/00207540210163964
  • Son, S. , S. Na , K. Kim , and S. Lee . 2014. “Collaborative Design Environment between ECAD and MCAD Engineers in High-tech Products Development.” International Journal of Production Research 52 (20): 6161–6174.10.1080/00207543.2014.918289
  • Song, Z. , and A. Kusiak . 2009. “Optimising Product Configurations with a Data-mining Approach.” International Journal of Production Research 47 (7): 1733–1751.10.1080/00207540701644235
  • van der Spoel, S. , C. Amrit , and J. van Hillegersberg . 2017. “Predictive Analytics for Truck Arrival Time Estimation: A Field Study at a European Distribution Centre.” International Journal of Production Research 55 (17): 5062–5078.10.1080/00207543.2015.1064183
  • Sun, J. , J. Wu , L. Liang , R. Y. Zhong , and G. Q. Huang . 2014. “Allocation of Emission Permits Using DEA: Centralised and Individual Points of View.” International Journal of Production Research 52 (2): 419–435.10.1080/00207543.2013.829592
  • Sun, S. 2002. “Assessing Computer Numerical Control Machines Using Data Envelopment Analysis.” International Journal of Production Research 40 (9): 2011–2039.
  • Talhi, A. , V. Fortineau , J. C. Huet , and S. Lamouri . 2017. “Ontology for Cloud Manufacturing Based Product Lifecycle Management.” Journal of Intelligent Manufacturing [published online].
  • Talluri, S. , F. Huq , and W. E. Pinney . 1997. “Application of Data Envelopment Analysis for Cell Performance Evaluation and Process Improvement in Cellular Manufacturing.” International Journal of Production Research 35 (8): 2157–2170.10.1080/002075497194787
  • Talluri, S. , R. Narasimhan , and S. Viswanathan . 2007. “Information Technologies for Procurement Decisions: A Decision Support System for Multi-attribute E-reverse Auctions.” International Journal of Production Research 45 (11): 2615–2628.10.1080/00207540601020585
  • Tan, K. H. , G. Ji , C. P. Lim , and M. L. Tseng . 2017. “Using Big Data to Make Better Decisions in the Digital Economy.” International Journal of Production Research 55 (17): 4998–5000.10.1080/00207543.2017.1331051
  • Tao, F. , Y. Cheng , L. Da Xu , L. Zhang , and B. H. Li . 2014. “CCIoT-CMfg: Cloud Computing and Internet of Things-based Cloud Manufacturing Service System.” IEEE Transactions on Industrial Informatics 10 (2): 1435–1442.
  • Tao, F. , J. Cheng , and Q. Qi . 2017. “IIHub: An Industrial Internet-of-things Hub towards Smart Manufacturing Based on Cyber-physical System.” IEEE Transactions on Industrial Informatics [published online].
  • Tao, F. , Y. Cheng , L. Zhang , and A. Y. Nee . 2017. “Advanced Manufacturing Systems: Socialization Characteristics and Trends.” Journal of Intelligent Manufacturing 28 (5): 1079–1094.10.1007/s10845-015-1042-8
  • Towill, D. R. 1973. “A Direct Method for the Determination of Learning Curve Parameters from Historical Data.” International Journal of Production Research 11 (1): 97–101.10.1080/00207547308929949
  • Towill, D. R. 1977. “Exponential Smoothing of Learning Curve Data.” International Journal of Production Research 15 (1): 1–15.10.1080/00207547708943099
  • Tsai, C. Y. , and S. H. Huang . 2015. “A Data Mining Approach to Optimise Shelf Space Allocation in Consideration of Customer Purchase and Moving Behaviours.” International Journal of Production Research 53 (3): 850–866.10.1080/00207543.2014.937011
  • Tsai, F. M. , and L. J. Huang . 2017. “Using Artificial Neural Networks to Predict Container Flows Between the Major Ports of Asia.” International Journal of Production Research 55 (17): 5001–5010.10.1080/00207543.2015.1112046
  • Tseng, T. L. , C. C. Huang , F. Jiang , and J. C. Ho . 2006. “Applying a Hybrid Data-mining Approach to Prediction Problems: A Case of Preferred Suppliers Prediction.” International Journal of Production Research 44 (14): 2935–2954.10.1080/00207540600654525
  • Vainio, F. , M. Maier , T. Knuutila , E. Alhoniemi , M. Johnsson , and O. S. Nevalainen . 2010. “Estimating Printed Circuit Board Assembly times Using Neural Networks.” International Journal of Production Research 48 (8): 2201–2218.10.1080/00207540802572574
  • Wan, H. D. , and F. Frank Chen . 2008. “A Leanness Measure of Manufacturing Systems for Quantifying Impacts of Lean Initiatives.” International Journal of Production Research 46 (23): 6567–6584.10.1080/00207540802230058
  • Wang, F. K. 2005. “A Simple Data Transformation of Auto-Correlated Data for SPC.” International Journal of Production Research 43 (5): 981–989.10.1080/00207540412331320535
  • Wang, W. K. , Y. C. Chan , W. M. Lu , and H. Chang . 2015. “The Impacts of Asset Impairments on Performance in the Taiwan Listed Electronics Industry.” International Journal of Production Research 53 (8): 2410–2426.10.1080/00207543.2014.972526
  • Wang, Y. M. , and K. S. Chin . 2009. “A New Approach for the Selection of Advanced Manufacturing Technologies: DEA with Double Frontiers.” International Journal of Production Research 47 (23): 6663–6679.10.1080/00207540802314845
  • Wang, Y. M. , K. S. Chin , and J. P. F. Leung . 2009. “A Note on the Application of the Data Envelopment Analytic Hierarchy Process for Supplier Selection.” International Journal of Production Research 47 (11): 3121–3138.10.1080/00207540701805653
  • Wang, C. H. , and Y. W. Chien . 2016. “Combining Balanced Scorecard with Data Envelopment Analysis to Conduct Performance Diagnosis for Taiwanese LED Manufacturers.” International Journal of Production Research 54 (17): 5169–5181.10.1080/00207543.2016.1156780
  • Wang, R. T. , C. T. B. Ho , and K. Oh . 2010. “Measuring Production and Marketing Efficiency Using Grey Relation Analysis and Data Envelopment Analysis.” International Journal of Production Research 48 (1): 183–199.10.1080/00207540802446803
  • Wang, L. , M. Törngren , and M. Onori . 2015. “Current Status and Advancement of Cyber-physical Systems in Manufacturing.” Journal of Manufacturing Systems 37: 517–527.10.1016/j.jmsy.2015.04.008
  • Wang, C. H. , S. J. Wang , and W. D. Lee . 2006. “Automatic Identification of Spatial Defect Patterns for Semiconductor Manufacturing.” International Journal of Production Research 44 (23): 5169–5185.10.1080/02772240600610822
  • Wang, J. , and J. Zhang . 2016. “Big Data Analytics for Forecasting Cycle Time in Semiconductor Wafer Fabrication System.” International Journal of Production Research 54 (23): 7231–7244.10.1080/00207543.2016.1174789
  • Wei, G. , and J. Wang . 2011. “Value-at-Risk and Data Envelopment Analysis: Comments on Wu and Olson (2010).” International Journal of Production Research 49 (23): 7189–7193.10.1080/00207543.2011.564666
  • Wong, J. T. , C. T. Su , and H. T. Hsieh . 2007. “A Framework for Determining MIMO Process Parameters by a Neuro-DMandACO Approach.” International Journal of Production Research 45 (15): 3505–3520.10.1080/00207540500471814
  • Wortham, A. W. 1972. “The Use of Exponentially Smoothed Data in Continuous Process Control.” International Journal of Production Research 10 (4): 393–400.10.1080/00207547208929940
  • Wu, T. , and J. Blackhurst . 2009. “Supplier Evaluation and Selection: An Augmented DEA Approach.” International Journal of Production Research 47 (16): 4593–4608.10.1080/00207540802054227
  • Wu, D. , and D. L. Olson . 2008. “A Comparison of Stochastic Dominance and Stochastic DEA for Vendor Evaluation.” International Journal of Production Research 46 (8): 2313–2327.10.1080/00207540601039775
  • Wu, D. D. , and D. Olson . 2010. “Enterprise Risk Management: A DEA VaR Approach in Vendor Selection.” International Journal of Production Research 48 (16): 4919–4932.10.1080/00207540903051684
  • Wu, D. D. , and D. Olson . 2011. “A Note to ‘Enterprise Risk Management: A DEA VaR Approach in Vendor Selection’: A Response to Wei and Wang and Model Extension.” International Journal of Production Research 49 (23): 7195–7203.10.1080/00207543.2011.564672
  • Wu, J. , J. Chu , Q. Zhu , P. Yin , and L. Liang . 2016. “DEA Cross-efficiency Evaluation Based on Satisfaction Degree: An Application to Technology Selection.” International Journal of Production Research 54 (20): 5990–6007.10.1080/00207543.2016.1148278
  • Wu, J. , H. Li , Z. Lin , and K. Y. Goh . 2017. “How Big Data and Analytics Reshape the Wearable Device Market – The Context of E-health.” International Journal of Production Research 55 (17): 5168–5182.10.1080/00207543.2015.1059521
  • Wu, J. , Q. Zhu , J. Chu , Q. An , and L. Liang . 2016. “A DEA-Based Approach for Allocation of Emission Reduction Tasks.” International Journal of Production Research 54 (18): 5618–5633.10.1080/00207543.2016.1194537
  • Xia, T. , and L. Xi . 2017. “Manufacturing Paradigm-oriented PHM Methodologies for Cyber-physical Systems.” Journal of Intelligent Manufacturing [published online].
  • Xu, X. 2012. “From Cloud Computing to Cloud Manufacturing.” Robotics and Computer-Integrated Manufacturing 28 (1): 75–86.10.1016/j.rcim.2011.07.002
  • Yao, J. M. 2017. “Supply Chain Resources Integration Optimisation in B2C Online Shopping.” International Journal of Production Research 55 (17): 5079–5094.10.1080/00207543.2015.1074298
  • Yayla, A. Y. , A. Oztekin , A. T. Gumus , and A. Gunasekaran . 2015. “A Hybrid Data Analytic Methodology for 3PL Transportation Provider Evaluation Using Fuzzy Multi-criteria Decision Making.” International Journal of Production Research 53 (20): 6097–6113.10.1080/00207543.2015.1022266
  • Ye, N. 2017. “A Reverse Engineering Algorithm for Mining a Causal System Model from System Data.” International Journal of Production Research 55 (3): 828–844.10.1080/00207543.2016.1213913
  • Yu, F. J. , C. Y. Low , and S. S. Cheng . 2003. “Design for an SPRT Control Scheme Based on Linguistic Data.” International Journal of Production Research 41 (6): 1299–1309.10.1080/0020754021000043011
  • Yu, C. , and A. Matta . 2016. “A Statistical Framework of Data-driven Bottleneck Identification in Manufacturing Systems.” International Journal of Production Research 54 (21): 6317–6332.10.1080/00207543.2015.1126681
  • Zaghloul, M. E. , D. Khera , L. W. Linholm , and C. P. Reeve . 1989. “A Machine-learning Classification Approach for IC Manufacturing Control Based on Test Structure Measurements.” IEEE Transactions on Semiconductor Manufacturing 2 (2): 47–53.10.1109/66.24928
  • Zhang, J. , G. Ding , Y. Zou , S. Qin , and J. Fu . 2017. “Review of Job Shop Scheduling Research and its New Perspectives under Industry 4.0.” Journal of Intelligent Manufacturing [published online].
  • Zhang, X. , C. K. M. Lee , and S. Chen . 2012. “Supplier Evaluation and Selection: A Hybrid Model Based on DEAHP and ABC.” International Journal of Production Research 50 (7): 1877–1889.10.1080/00207543.2011.560908
  • Zhang, Y. , S. Ren , Y. Liu , and S. Si . 2017. “A Big Data Analytics Architecture for Cleaner Manufacturing and Maintenance Processes of Complex Products.” Journal of Cleaner Production 142: 626–641.10.1016/j.jclepro.2016.07.123
  • Zhong, R. Y. , S. T. Newman , G. Q. Huang , and S. Lan . 2016. “Big Data for Supply Chain Management in the Service and Manufacturing Sectors: Challenges, Opportunities, and Future Perspectives.” Computers & Industrial Engineering 101: 572–591.10.1016/j.cie.2016.07.013
  • Zhong, R. Y. , C. Xu , C. Chen , and G. Q. Huang . 2017. “Big Data Analytics for Physical Internet-based Intelligent Manufacturing Shop Floors.” International Journal of Production Research 55 (9): 2610–2621.10.1080/00207543.2015.1086037

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.