Using a heuristic multi-objective genetic algorithm to solve the storage assignment problem for CPS-based pick-and-pass system

References

• Abdel-Hamid, A., and R. Borndörfer. 1994. “On the Complexity of the Storage Assignment Problem.” Konrad-Zuse-Zentrum für Informationstechnik, Berlin
   Google Scholar
• Bottani, E., M. Cecconi, G. Vignali, and R. Montanari. 2012. “Optimisation of Storage Allocation in Order Picking Operations through a Genetic Algorithm.” International Journal of Logistics Research and Applications 15 (2): 127–146.
   Web of Science ®Google Scholar
• Cai, J., X. A. Kuang, S. Song, and Q. Zhao. 2016. “Automated Warehouse Storage Assignment Policy Based on Storage Frequency and Workload Balance.” IEEE 2016 International Conference on Logistics, Informatics and Service Sciences (LISS) 1–6. Sydney, NSW. doi: https://doi.org/10.1109/LISS.2016.7854514
   Google Scholar
• Chen, M. 2019. “The Influence of Big Data Analysis of Intelligent Manufacturing under Machine Learning on Start-ups Enterprise.” Enterprise Information Systems. doi:https://doi.org/10.1080/17517575.2019.1694180
   Google Scholar
• Chen, X., A. Li, W. Guo, and G. Huang. 2015. “Runtime Model Based Approach to IoT Application Development.” Frontiers of Computer Science 9 (4): 540–553.
   Web of Science ®Google Scholar
• Chen, X., H. Wang, Y. Ma, X. Zheng, and L. Guo. 2020. “Self-adaptive Resource Allocation for Cloud-based Software Services Based on Iterative QoS Prediction Model.” Future Generation Computer Systems 105: 287–296.
   Web of Science ®Google Scholar
• Chen, X., J. Lin, B. Lin, T. Xiang, Y. Zhang, and G. Huang. 2019. “Self-learning and Self-adaptive Resource Allocation for Cloud-based Software Services.” Concurrency and Computation: Practice and Experience 31 (23): e4463.
   Web of Science ®Google Scholar
• Chiang, A. J., A. Jeang, P. C. Chiang, P. S. Chiang, and C. P. Chung. 2019. “Multi-objective Optimization for Simultaneous Operating Room and Nursing Unit Scheduling.” International Journal of Engineering Business Management. doi:https://doi.org/10.1177/1847979019891022.
   Google Scholar
• De Koster, R., T. Le-Duc, and K. J. Roodbergen. 2007. Design and control of warehouse order picking: A literature review. European Journal of Operational Research 182 (2): 481–501
   Web of Science ®Google Scholar
• Frazelle, E. A., and G. P. Sharp. 1989. “Correlated assignment strategy can improve any order-picking operation”. Industrial Engineering 21(4): 33–37
   Google Scholar
• Frazelle, E.A., and G.P. Sharp. 1989. “Correlated assignment strategy can improve any order-picking operation. Industrial Engineering 21(4): 33–37
   Google Scholar
• Gladence, L. M., M. Karthi, and V. M. Anu. 2015. “A Statistical Comparison of Logistic Regression and Different Bayes Classification Methods for Machine Learning.” ARPN Journal of Engineering and Applied Sciences 10 (14): 5947–5953.
   Google Scholar
• Guo, L., and H. Shen. 2017. “Efficient Approximation Algorithms for the Bounded Flexible Scheduling Problem in Clouds.” IEEE Transactions on Parallel and Distributed Systems 28 (12): 3511–3520.
   Web of Science ®Google Scholar
• Jane, C. C. 2000. “Storage Location Assignment in a Distribution Center.” International Journal of Physical Distribution and Logistics Management 30 (1): 55–71.
   Google Scholar
• Jarvis, J. M., and E. D. McDowell. 1991. “Optimal Product Layout In An Order Picking Warehouse.” IIE transactions 23 (1): 93–102.
   Web of Science ®Google Scholar
• Jewkes, E., C. Lee, and R. Vickson. 2004. “Product Location, Allocation and Server Home Base Location for an Order Picking Line with Multiple Servers.” Computers & Operations Research 31: 623–636.
   Web of Science ®Google Scholar
• Leung, K. H., K. L. Choy, P. K. Siu, G. T. Ho, H. Y. Lam, and C. K. Lee. 2018. “A B2C E-commerce Intelligent System for Re-engineering the E-order Fulfilment Process.” Expert Systems with Applications 91: 386–401.
   Web of Science ®Google Scholar
• Leung, K. H., W. Y. Cheng, K. L. Choy, W. C. Wong, H. Y. Lam, and Y. Y. Hui 2016. “A Process-oriented Warehouse Postponement Strategy for E-commerce Order Fulfillment in Warehouses and Distribution Centers in Asia“. Managerial strategies and solutions for business success in asia 21–34 IGI Global.
   Google Scholar
• Lin, B., W. Guo, N. Xiong, G. Chen, A. V. Vasilakos, and H. Zhang. 2016. “A Pretreatment Workflow Scheduling Approach for Big Data Applications in Multicloud Environments.” IEEE Transactions on Network and Service Management 13 (3): 581–594.
   Web of Science ®Google Scholar
• Lin, B., W. Guo, and X. Lin. 2016. “Online Optimization Scheduling for Scientific Workflows with Deadline Constraint on Hybrid Clouds.” Concurrency and Computation: Practice and Experience 28 (11): 3079–3095.
   Web of Science ®Google Scholar
• Lin, J., S. Sedigh, and A. Miller. 2010. “Modeling Cyber-physical Systems with Semantic Agents.” 2010 IEEE 34th Annual Computer Software and Applications Conference Workshops (COMPSACW) 13–18.
   Google Scholar
• Lu, Y., X. Zheng, L. Li, and L. D. Xu. 2020. “Pricing the Cloud: A QoS-based Auction Approach.” Enterprise Information Systems 14 (3): 334–351.
   Web of Science ®Google Scholar
• Maleki, M. 2019. “Solving a Multi-objective Model of Job Rotation Minimizing the Chemical Exposure and Cost by Particle Swarm Optimization.” International Journal of Engineering Business Management. doi:https://doi.org/10.1177/1847979019867830.
   Google Scholar
• Mary Gladence, L., and T. Ravi. 2013. “Mining the Change of Customer Behavior in Fuzzy Time-interval Sequential Patterns with Aid of Similarity Computation Index (SCI) and Genetic Algorithm (GA).” International Review on Computers and Software (IRECOS) 8 (11): 2552–2561.
   Google Scholar
• Mavrotas, G., and K. Florios. 2013. “An Improved Version of the Augmented ε-constraint Method (AUGMECON2) for Finding the Exact Pareto Set in Multi-objective Integer Programming Problems.” Applied Mathematics and Computation 219 (18): 9652–9669.
   Web of Science ®Google Scholar
• Mendes, J. J. M., J. F. Gonalves, and M. G. C. Resende. 2009. “A Random Key Based Ge- Netic Algorithm for the Resource Constrained Project Scheduling Problem.” Computers & Operations Research 36: 92–109.
   Web of Science ®Google Scholar
• Miettinen, K. 1999. Nonlinear Multi-objective Optimization. Boston, MA: Kluwer Academic Publishers.
   Google Scholar
• Muppani, V. R., and G. K. Adil. 2008. “A Branch and Bound Algorithm for Class Based Storage Location Assignment.” European Journal of Operational Research 189 (2): 492–507.
   Web of Science ®Google Scholar
• Murata, T., and H. Ishibuchi. 1995. “MOGA: Multi-objective Genetic Algorithms.” IEEE International Conference on Evolutionary Computation 1: 289–294.
   Google Scholar
• Pan, J. C. H., and M. H. Wu. 2009. “A Study of Storage Assignment Problem for an Order Picking Line in A Pick-and-pass Warehousing System.” Computers & Industrial Engineering 57 (1): 261–268.
   Web of Science ®Google Scholar
• Pan, J. C. H., P. H. Shih, M. H. Wu, and J. H. Lin. 2015. “A Storage Assignment Heuristic Method Based on Genetic Algorithm for A Pick-and-pass Warehousing System.” Computers & Industrial Engineering 81: 1–13.
   Web of Science ®Google Scholar
• Petersen, C. G., and A. Gerald. 2002. “Considerations in Order Picking Zone Configuration.” International Journal of Operations and Production Management 27: 793–805.
   Web of Science ®Google Scholar
• Poon, T. C., K. L. Choy, F. T. S. Chan, G. T. S. Ho, A. Gunasekaran, and H. C. W. Lau. 2011. “A Real-time Warehouse Operations Planning System for Small Batch Replenishment Problems in Production Environment.” Expert Systems with Appli- Cations 38 (7): 8524–8537.
   Web of Science ®Google Scholar
• Shakshuki, E. M., H. Malik, and T. Sheltami. 2014. “WSN in Cyber Physical Systems: Enhanced Energy Management Routing Approach Using Software Agents.” Future Generation Computer Systems 31: 93–104.
   Web of Science ®Google Scholar
• Singh, S., and P. Kumar. 2019. “MH-CACA: Multi-objective Harmony Search-based Coverage Aware Clustering Algorithm in WSNs.” Enterprise Information Systems. doi:https://doi.org/10.1080/17517575.2019.1633691.
   Web of Science ®Google Scholar
• Tu, M., M. K. Lim, and M. F. Yang. 2018a. “IoT-based Production Logistics and Supply Chain system–Part 1: Modeling IoT-based Manufacturing Supply Chain.” Industrial Management & Data Systems 118 (1): 65–95.
   Web of Science ®Google Scholar
• Tu, M., M. K. Lim, and M. F. Yang. 2018b. “IoT-based Production Logistics and Supply Chain system–Part 2: IoT-based Cyber-physical System: A Framework and Evaluation.” Industrial Management & Data Systems 118 (1): 96–125.
   Web of Science ®Google Scholar
• Verl, A., A. Lechler, and J. Schlechtendahl. 2012. “Glocalized Cyber Physical Production Systems.” Production Engineering 6 (6): 643–649.
   Google Scholar
• Wang, L., M. Törngren, and M. Onori. 2015. ““Current Status and Advancement of Cyber-physical Systems in Manufacturing”.” Journal of Manufacturing Systems 37 (2): 517–527.
   Google Scholar
• Yang, Y., X. Zheng, V. Chang, and C. Tang. 2017. “Semantic Keyword Searchable Proxy Re‐encryption for Postquantum Secure Cloud Storage.” Concurrency and Computation: Practice and Experience 29 (19): e4211.
   Web of Science ®Google Scholar
• Yang, Y., X. Zheng, V. Chang, S. Ye, and C. Tang. 2018a. “Lattice Assumption Based Fuzzy Information Retrieval Scheme Support Multi-user for Secure Multimedia Cloud.” Multimedia Tools and Applications 77 (8): 9927–9941.
   Web of Science ®Google Scholar
• Yang, Y., X. Zheng, W. Guo, X. Liu, and V. Chang. 2018b. “Privacy-preserving Fusion of IoT and Big Data for E-health.” Future Generation Computer Systems 86: 1437–1455.
   Web of Science ®Google Scholar
• Yang, Y., X. Zheng, W. Guo, X. Liu, and V. Chang. 2019. “Privacy-preserving Smart IoT-based Healthcare Big Data Storage and Self-adaptive Access Control System.” Information Sciences 479: 567–592.
   Web of Science ®Google Scholar