A bi-objective stochastic programming model for optimising automated material handling systems with reliability considerations

References

• Abdelmaguid, T. F., A. O. Nassef, B. A. Kamal, and M. F. Hassan. 2004. “A Hybrid GA/Heuristic Approach to the Simultaneous Scheduling of Machines and Automated Guided Vehicles.” International Journal of Production Research 42 (2): 267–281.10.1080/0020754032000123579
   Web of Science ®Google Scholar
• Ball, M. O., and F. L. Lin. 1993. “A Reliability Model Applied to Emergency Service Vehicle Location.” Operations Research 41 (1): 18–36.10.1287/opre.41.1.18
   Web of Science ®Google Scholar
• Beamon, B. M. 1995. Reliability in Design of Fixed-path Material Handling Systems. Cincinnati, OH: University of Cincinnati Working Paper.
   Google Scholar
• Beamon, B. M. 1998. “Performance, Reliability, and Performability of Material Handling Systems.” International Journal of Production Research 36 (2): 377–393.10.1080/002075498193796
   Web of Science ®Google Scholar
• Birge, J., and F. Louveaux. 1997. Introduction to Stochastic Programming. Berlin: Springer-Verlag.
   Google Scholar
• Buzacott, J. A., and D. D. Yao. 1986. “Flexible Manufacturing Systems: A Review of Analytical Models.” Management Science 32 (7): 890–905.10.1287/mnsc.32.7.890
   Web of Science ®Google Scholar
• Carbone, R. 1974. “Public Facilities Location under Stochastic Demand.” INFOR 12 (3): 261–270.
   Google Scholar
• Charnes, A., and W. Cooper. 1959. “Chance-constraint Programming.” Management Science 6 (1): 73–79.10.1287/mnsc.6.1.73
   Web of Science ®Google Scholar
• Crombecq, K., E. Laermans, and T. Dhaene. 2011. “Efficient Space-filling and Non-collapsing Sequential Design Strategies for Simulation-based Modeling.” European Journal of Operational Research 214 (3): 683–696.10.1016/j.ejor.2011.05.032
   Web of Science ®Google Scholar
• Deroussi, L., M. Gourgand, and N. Tchernev. 2008. “A Simple Metaheuristic Approach to the Simultaneous Scheduling of Machines and Automated Guided Vehicles.” International Journal of Production Research 46 (8): 2143–2164.10.1080/00207540600818286
   Web of Science ®Google Scholar
• Edwards, W. 1977. “How to Use Multiple Attribute Utility Measurement for Social Decision-making.” IEEE Transactions on Systems, Man, and Cybernetics 7 (5): 326–340.10.1109/TSMC.1977.4309720
   Web of Science ®Google Scholar
• Farling, B. E., C. T. Mosier, and F. Mahmoodi. 2001. “Analysis of Automated Guided Vehicle Configurations in Flexible Manufacturing Systems.” International Journal of Production Research 39 (18): 4239–4260.10.1080/00207540110072957
   Web of Science ®Google Scholar
• Gnanavel Babu, A., J. Jerald, A. Noorul Haq, V. Muthu Luxmi, and T. P. Vigneswaralu. 2010. “Scheduling of Machines and Automated Guided Vehicles in FMS Using Differential Evolution.” International Journal of Production Research 48 (16): 4683–4699.10.1080/00207540903049407
   Web of Science ®Google Scholar
• Ho, Y.-C., and P. F. Hsieh. 2004. “A Machine-to-loop Assignment and Layout Design Methodology for Tandem AGV Systems with Multiple-load Vehicles.” International Journal of Production Research 42 (4): 801–832.10.1080/00207540310001602874
   Web of Science ®Google Scholar
• Ho, Y.-C., C. G. Cassandras, C.-H. Chen, and L. Dai. 2000. “Ordinal Optimisation and Simulation.” Journal of the Operational Research Society 51 (4): 490–500.
   Web of Science ®Google Scholar
• Jain, A., P. K. Jain, F. T. S. Chan, and S. Singh. 2013. “A Review on Manufacturing Flexibility.” International Journal of Production Research 51 (19): 5946–5970.10.1080/00207543.2013.824627
   Web of Science ®Google Scholar
• Keeney, R. L., and H. Raiffa. 1976. Decisions with Multiple Objectives: Preferences and Value Trade-offs. New York: Wiley.
   Google Scholar
• Khosravi, A., S. Nahavandi, D. Creighton, and A. F. Atiya. 2011. “Comprehensive Review of Neural Network-based Prediction Intervals and New Advances.” IEEE Transactions on Neural Networks 22 (9): 1341–1356.10.1109/TNN.2011.2162110
   PubMed Web of Science ®Google Scholar
• Kleindorfer, P. R., H. C. Kunreuther, and P. J. H. Schoemaker. 1993. Decision Sciences. New York: Cambridge University Press.10.1017/CBO9781139173537
   Google Scholar
• Kohonen, T. 1988. “An Introduction to Neural Computing.” Artificial Neural Networks 1 (1): 3–16.10.1016/0893-6080(88)90020-2
   Web of Science ®Google Scholar
• Kros, J. F., M. Lin, and M. L. Brown. 2006. “Effects of the Neural Network S-Sigmoid Function on KDD in the Presence of Imprecise Data.” Computers & Operations Research 33 (11): 3136–3149.10.1016/j.cor.2005.01.024
   Web of Science ®Google Scholar
• Kuo, Y., T. Yang, B. A. Peters, and I. Chang. 2007. “Simulation Metamodel Development Using Uniform Design and Neural Networks for Automated Material Handling Systems in Semiconductor Wafer Fabrication.” Simulation Modelling Practice and Theory 15 (8): 1002–1015.10.1016/j.simpat.2007.05.006
   Web of Science ®Google Scholar
• Law, A. M., and W. D. Kelton. 2000. Simulation Modeling and Analysis. 2nd ed. Singapore: McGraw-Hill.
   Google Scholar
• Le-Anh, T., and M. B. M. De Koster. 2006. “A Review of Design and Control of Automated Guided Vehicle Systems.” European Journal of Operational Research 171 (1): 1–23.10.1016/j.ejor.2005.01.036
   Web of Science ®Google Scholar
• Lee, J., M. Tangjarukij, and Z. Zhu. 1996. “Load Selection of Automated Guided Vehicles in Flexible Manufacturing Systems.” International Journal of Production Research 34 (12): 3383–3400.10.1080/00207549608905096
   Web of Science ®Google Scholar
• Lee, L. H., E. P. Chew, and P. Manikam. 2006. “A General Framework on the Simulation-based Optimization under Fixed Computing Budget.” European Journal of Operational Research 174 (3): 1828–1841.10.1016/j.ejor.2005.02.052
   Web of Science ®Google Scholar
• Maniya, K. D., and M. G. Bhatt. 2011. “A Multi-attribute Selection of Automated Guided Vehicle Using the AHP/M-GRA Technique.” International Journal of Production Research 49 (20): 6107–6124.10.1080/00207543.2010.518988
   Web of Science ®Google Scholar
• Maxwell, W. L., and J. A. Muckstadt. 1982. “Design of Automatic Guided Vehicle Systems.” IIE Transactions 14 (2): 114–124.10.1080/05695558208975046
   Web of Science ®Google Scholar
• McCulloch, W., and W. Pitts. 1943. “A Logical Calculus of the Ideas Immanent in Nervous Activity.” The Bulletin of Mathematical Biophysics 5: 115–133.10.1007/BF02478259
   Google Scholar
• Miriyala, K., and N. Viswanadham. 1989. “Reliability Analysis of Flexible Manufacturing Systems.” The International Journal of Flexible Manufacturing Systems 2(2): 145–162.
   Google Scholar
• Özcan, U. 2010. “Balancing Stochastic Two-sided Assembly Lines: A Chance-constrained, Piecewise-linear, Mixed Integer Program and a Simulated Annealing Algorithm.” European Journal of Operational Research 205 (1): 81–97.
   Web of Science ®Google Scholar
• Ozden, M. 1988. “A Simulation Study of Multiple-load-carrying Automated Guided Vehicles in a Flexible Manufacturing System.” International Journal of Production Research 26 (8): 1353–1366.10.1080/00207548808947950
   Web of Science ®Google Scholar
• Pamosoaji, A. K., P. T. Cat, and K. S. Hong. 2013. “Sliding-mode and Proportional-derivative-type Motion Control with Radial Basis Function Neural Network Based Estimators for Wheeled Vehicles.” International Journal of Systems Science. doi:10.1080/00207721.2013.772678.
   Google Scholar
• Pöyhönen, M., and R. P. Hämäläinen. 2001. “On the Convergence of Multiattribute Weighting Methods.” European Journal of Operational Research 129 (3): 569–585.10.1016/S0377-2217(99)00467-1
   Web of Science ®Google Scholar
• Rosenblatt, F. 1958. “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain.” Psychological Review 65 (6): 386–408.10.1037/h0042519
   PubMed Web of Science ®Google Scholar
• Saaty, T. L. 1980. The Analytic Hierarchy Process. New York: McGraw-Hill.
   Google Scholar
• Sarker, B. R., and S. S. Gurav. 2005. “Route Planning for Automated Guided Vehicles in a Manufacturing Facility.” International Journal of Production Research 43 (21): 4659–4683.10.1080/00207540500140807
   Web of Science ®Google Scholar
• Sayarshad, H. R., and R. Tavakkoli-Moghaddam. 2010. “Solving a Multi Periodic Stochastic Model of the Rail–Car Fleet Sizing by Two-Stage Optimization Formulation.” Applied Mathematical Modelling 34 (5): 1164–1174.10.1016/j.apm.2009.08.004
   Web of Science ®Google Scholar
• Shiode, S., and Z. Drezner. 2003. “A Competitive Facility Location Problem on a Tree Network with Stochastic Weights.” European Journal of Operational Research 149 (1): 47–52.10.1016/S0377-2217(02)00459-9
   Web of Science ®Google Scholar
• Smith, D. J. 1993. Reliability, Maintainability and Risk. Oxford: Butterworth Heinemann.
   Google Scholar
• Stewart, W., and B. Golden. 1983. “Stochastic Vehicle Routing: A Comprehensive Approach.” European Journal of Operational Research 14 (4): 371–385.10.1016/0377-2217(83)90237-0
   Web of Science ®Google Scholar
• Ultsch, A., D. Korus, and T. O. Kleine. 1995. “Integration of Neural Networks and Knowledge-Based Systems in Medicine.” In Artificial Intelligence in Medicine, edited by Pedro Barahona, Mario Stefanelli, and Jeremy Wyatt, 425–426. Berlin: Springer.
   Google Scholar
• Von Winterfeldt, D., and W. Edwards. 1986. Decision Analysis and Behavioral Research. Cambridge: Cambridge University Press.
   Google Scholar