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Research Article

Assessing the impact of supplier benchmarking in manufacturing value chains: an Intelligent decision support system for original equipment manufacturers

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Pages 7411-7435 | Received 28 Jan 2022, Accepted 30 Apr 2022, Published online: 07 Jun 2022

References

  • Agasisti, T., G. Munda, and R. Hippe. 2019. “Measuring the Efficiency of European Education Systems by Combining Data Envelopment Analysis and Multiple-Criteria Evaluation.” Journal of Productivity Analysis 51, 2-3, 2019, 105–124, doi:10.1007/s11123-019-00549-6.
  • Awasthi, A., and G. Kannan. 2016. “Green Supplier Development Program Selection Using NGT and VIKOR Under Fuzzy Environment.” Computers and Industrial Engineering 91 (2016): 100–108.
  • Baghery, M., S. Yousefi, and M,J Rezaee. 2016. “Risk Measurement and Prioritization of Auto Parts Manufacturing Processes Based on Process Failure Analysis, Interval Data Envelopment Analysis and Grey Relational Analysis.” Journal of Intelligent Manufacturing 29 (2018): 803–1825. doi: 10.1007/s10845-016-1214-1.
  • Boloori, F., R. Khanjani-Shiraj, and H. Fukuyama. 2021. “Proportional Trade-Offs in Network DEA.” Computers and Industrial Engineering 156 (2021): 107285.
  • Chan, F. T., N. Kumar, M. K. Tiwari, H. C. Lau, and K. Choy. 2008. “Global Supplier Selection: A Fuzzy-AHP Approach.” International Journal of Production Research 46: 3825–3857.
  • Chancellor, W., and W. Lu. 2016. “A Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012.” Journal of Construction Engineering and Management 142 (11): 1336–1357.
  • Chen, W., L. Lei, Z. Wang, M. Teng, and J. Liu. 2018. “Coordinating Supplier Selection and Project Scheduling in Resource-Constrained Construction Supply Chains.” International Journal of Production Research 56, 19, 2018, 6512–6526. doi:10.1080/00207543.2018.1436782.
  • Chen, X., X. Liu, Z. Gong, and J. Xie. 2021. “Three-stage Super-Efficiency DEA Models Based on the Cooperative Game and its Application on the R&D Green Innovation of the Chinese High-Tech Industry.” Computers and Industrial Engineering 156 (2021): 107234.
  • Dahooie, J., H. Hajiagha, S. H, R. Farazmehr, S. Zavadskas, and K. Antucheviciene J. 2021. “A Novel Dynamic Credit Risk Evaluation Method Using Data Envelopment Analysis with Common Weights and Combination of Multi-Attribute Decision-Making Methods.” Computers and Operations Research 129 (2021): 105223.
  • Danese, P. 2011. “Towards a Contingency Theory of Collaborative Planning Initiatives in Supply Networks.” International Journal of Production Research 49 (4): 1081–1103.
  • Danese, P., and P. Romano. 2011. “Supply Chain Integration and Efficiency Performance. A Study on the Interactions Between Customer and Supplier Integration.” Supply Chain Management: An International Journal 16 (4): 220–230.
  • Despotis, D., K. and Smirlis, Y. G. 2002. Data Envelopment Analysis with Imprecise Data.” European Journal of Operational Research 140 (1): 24–36.
  • Dutta, P., B. Jaikumar, and M. S. Arora. 2021. “Applications of Data Envelopment Analysis in Supplier Selection Between 2000 and 2020: A Literature Review.” Annals of Operations Research, doi:10.1007/s10479-021-03931-6.
  • Ebrahimi, B., M. Tavana, M. Rahmani, and F,J Santos-Arteaga. 2016. “Efficiency Measurement in Data Envelopment Analysis in the Presence of Ordinal and Interval Data.” Neural Computing and Application, doi: 10.1007/s00521-016-2826-2.
  • Faisal, N., A,E Bader, and K. J. Sharif. 2017. “Supplier Selection for a Sustainable Supply: Chain Triple Bottom Line (3BL) and Analytic Network Process Approach.” Benchmarking 24 (7): 1463–5771.
  • Fitzsimmons, J. A., M. J. Fitzsimmons, and S. Bordoloi. 2018. Service Management: Operations, Strategy, Information Technology. McGraw Hill Education.
  • Gallear, D., A. Ghobadian, Y. Li, N. O'Regan, P. Childerhouse, and M. Naim. 2014. An Environmental Uncertainty-Based Diagnostic Reference Tool for Evaluating the Performance of Supply Chain Value Streams.” Production Planning and Control 25 (13-14): 1182–1197.
  • Hamdan, S., and A. Cheaitou. 2017. “Supplier Selection and Order Allocation with Green Criteria: An MCDM and Multi-Objective Optimization Approach.” Computers and Operations Research 81 (2017): 282–304.
  • Hernandez, J,E, J. Mula, R. Poler, and A,C Lyons. 2014. “Collaborative Planning in Multi-Tier Supply Chains Supported by a Negotiation-Based Mechanism and Multi-Agent System.” Group Decision and Negotiation 23 (2): 235–269.
  • Holweg, M., and P. Helo. 2014. “Defining Value Chain Architectures: Linking Strategic Value Creation to Operational Supply Chain Design.” International Journal of Production Economics 147 (2014): 230–238.
  • Hur, M., S.-J. Joo, and J. Cho. 2021. “Performance Measure of Maintenance Practices for F-16 Fighter Jets by Data Envelopment Analysis.” International Journal of Quality and Reliability Management 39, 1, 2022, 280–296. doi:10.1108/IJQRM-08-2020-0272.
  • Izadikhah, M., and R,F Saen. 2019. “Solving Voting System by Data Envelopment Analysis for Assessing Sustainability of Suppliers.” Group Decision and Negotiation 28, 3, 641–669. doi:10.1007/s10726-019-09616-7.
  • Izadikhah, M., R,F Saen, K. Ahmadi, and M. Shamsi. 2021. How to use Fuzzy Screening System and Data Envelopment Analysis for Clustering Sustainable Suppliers? A Case Study in Iran.” International Journal of Enterprise Information Management 34 (1): 199–229.
  • Jacobs, M., C. Droge, S,K Vickery, and R. Calantone. 2011. “Product and Process Modularity's Effects on Manufacturing Agility and Firm Growth Performance.” Journal of Product Innovation Management 28 (1): 123–137.
  • Jiang, H., J. Wu, J. Chu, and H. Liu. 2020. “Better Resource Utilization: A new DEA bi-Objective Resource Reallocation Approach Considering Environmental Efficiency Improvement.” Computers and Industrial Engineering 144 (2020): 106540.
  • Jomthanachai, S., W.-P. Wong, and C.-P. Lim. 2021. “A Coherent Data Envelopment Analysis to Evaluate the Efficiency of Sustainable Supply Chains.” IEEE Transactions on Engineering Management, 1–18, doi:10.1109/TEM.2020.3046485.
  • Karimi, B., M. Azadi, R. F. Saen, and S,F Wamba. 2021. “Theory of Binary-Valued Data Envelopment Analysis: An Application in Assessing the Sustainability of Suppliers.” Industrial Management & Data Systems, doi:10.1108/IMDS-09-2021-0555.
  • Khalili-Damghani, K., M. Tavana, and E. Haji-Saami. 2015. “A Data Envelopment Analysis Model with Interval Data and Undesirable Output for Combined Power Plant Performance Assessment.” Expert Systems with Applications 42 (2015): 760–773.
  • Lacoste, S., and K. Blois. 2015. “Suppliers’ Power Relationships with Industrial key Customers.” Journal of Business and Industrial Marketing 39 (5): 562–571.
  • Lin, C.-T., and Y.-S. Yang. 2015. “A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection.” Group Decision and Negotiation 24 (1): 145–169.
  • Liu, J., C. Huang, J. Song, P. Du, F. Jin, and H. Chen. 2021. “Group Decision Making Based on the Modified Probability Calculation Method and DEA Cross-Efficiency with Probabilistic Hesitant Fuzzy Preference Relations.” Computers and Industrial Engineering 156 (2021): 107262.
  • Mahdiloo, M., R. F. Saen, and Ki-Hoon Lee. 2015. “Technical, Environmental and Eco-Efficiency Measurement for Supplier Selection: An Extension and Application of Data Envelopment Analysis.” International Journal of Production Economics 168: 279–289. doi:10.1016/j.ijpe.2015.07.010.
  • Medda, G., and C,A Piga. 2014. “Technological Spillovers and Productivity in Italian Manufacturing Firms.” Journal of Productivity Analysis 41 (3): 419–434.
  • Napper, R. 2014. “Modular Route bus Design – a Method of Meeting Transport Operations and Vehicle Manufacturing Requirements.” Transportation Research: Part C: Emerging Technology 38 (1): 56–72.
  • Oukil, A., and G,R Amin. 2015. “Maximum Appreciative Cross-Efficiency in DEA: A new Ranking Method.” Computers and Industrial Engineering 81 (2015): 14–21.
  • Penadés-Plà, V., T. García-Segura, J. Marti, and V. Yepes. 2016. “A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design.” Sustainability 1295 (8): 1–21.
  • Piran, F,A,S, D. P. Lacerda, L,FR Camargo, C,F Viero, A. Dresch, and P,A Cauchick-Miguel. 2016. “Product Modularization and Effects on Efficiency: An Analysis of a bus Manufacturer Using Data Envelopment Analysis (DEA).” International Journal of Production Economics 182 (2016): 1–13.
  • Santin, D., and G. Sicilia. 2018. Using DEA for Measuring Teachers’ Performance and the Impact on Students’ Outcomes: Evidence for Spain.” Journal of Productivity Analysis 49 (1): 1–15.
  • Simsek, B., and Fatih Tuysuz. 2018. “An Application of Network Data Envelopment Analysis with Fuzzy Data for the Performance Evaluation in Cargo Sector.” Journal of Enterprise Information Management 31 (4): 492–509.
  • Sinha, D., and S. R. Chowdhury. 2020. “A Framework for Ensuring Zero Defects and Sustainable Operations in Major Indian Ports.” International Journal of Quality and Reliability Management. doi: 10.1108/IJQRM-02-2019-0062.
  • Sun, J., S. Xu, and L. Guo. 2021. “Analyzing Sustainable Power Supply Chain Performance: Evidence from China’s Provincial Regions.” International Journal of Enterprise Information Management 34 (1): 79–100.
  • Tao, F., L. N. Bi, Y. Zuo, and A. Y. C. Nee. 2016. “A Hybrid Group Leader Algorithm for Green Material Selection with Energy Consideration in Product Design.” CIRP Annals 65 (1): 9–12.
  • Tatari, O., and M. Kucukvar. 2012. “Eco-Efficiency of Construction Materials: Data Envelopment Analysis.” Journal of Construction Engineering and Management 138 (6): 257–273.
  • Tsolas, I.E. 2013. “Modeling Profitability and Stock Market Performance of Listed Construction Firms on the Athens Exchange: Two-Stage DEA Approach.” Journal of Construction Engineering and Management 139 (1): 1367–1382.
  • Visani, F., P. Bardieri, F. Di Lascio, M. L, A. Raffoni, and D. Vigo. 2016. “Supplier’s Total Cost of Ownership Evaluation: A Data Envelopment Analysis Approach.” Omega 61 (2016): 141–154.
  • Wang, Y.-M., R. Greatbanks, and J.-B. Yang. 2005. “Interval Efficiency Assessment Using Data Envelopment Analysis.” Fuzzy Sets Systems 153: 247–370.
  • Wang, L., L. Li, and N. Hong. 2016. “Entropy Cross-Efficiency Model for Decision Making Units with Interval Data.” Entropy 18 (10): 358.
  • Yeni, F,B, and G. Ozcelik. 2019. Interval-Valued Atanassov Intuitionistic Fuzzy CODAS Method for Multi Criteria Group Decision Making Problems.” Group Decision and Negotiation 28 (2): 433–452.
  • Yu, Q., and F. Hou. 2016. “A Cross Evaluation-Based Measure of Super Efficiency in DEA with Interval Data.” Kybernetes 45 (4): 666–679.
  • Zhou, X., L. Li, H. Wen, X. Tian, S. Wang, and B. Lev. 2021. ‘Supplier’s Goal Setting Considering Sustainability: An Uncertain Dynamic Data Envelopment Analysis Based Benchmarking Model.’ Information Sciences 545 (2021): 44–64.

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