Material Handling Cost Consideration in Process Plan Selection for Reconfigurable Manufacturing System
In today’s market, ever-changing products and demands are major concerns for every manufacturer. Reconfigurable Manufacturing Systems (RMS) are so designed as to have customized flexibility and cost-effective reconfiguration whenever a design change in products/product families is needed. In RMS, the process plan is designed such that changes in demand or features etc. can easily be reflected without major loss in manufacturing time or cost. The costs usually included are machine usage, tool usage, machine change, tool change costs etc. All the parameters related to these costs become a part of the process plans. The focus of this research is to include material handling equipment such as transport and positioning equipment in the process plans and hence, to include their usage cost in the overall mathematical model. This will lead to a more accurate design of process plan particularly in terms of MHE related to each machine required to produce a part. The inclusion of MHE cost gives an idea about the impact of these equipment on overall cost of manufacturing. The presented model will help in the decision-making process of allocating part to machines & also allocating MHE to each machine considered in the process plan.
 F. Zhang, Y. Zhang and A. Y. C. Nee, "Using Genetic Algorithms in Process Planning for Job Shop Machining," IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, Vols. 1, NO. 4, 1997. DOI: 10.1109/4235.687888
 A. I. Shabaka and H. ElMaraghy, "A model for generating optimal process plans in RMS," International Journal of Computer Integrated Manufacturing, Vols. Vol. 21, No. 2, pp. 180-194, 2008 https://doi.org/10.1080/09511920701607741
 C. Ling, D. Yip-Hoi and Y. Koren, "Operation clustering in process planning for reconﬁgurable machining system design," in 2000 Japan-USA Flexible Automation Conference, Ann Arbor, 2000.
 W. D. Li, S. Ong and Y. Nee, "Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts," International Journal of Production Research, vol. 40:8, pp. 1899-1922, 2002 https://doi.org/10.1080/00207540110119991
 S. K. Ong and N. A. Y. C., "Hybrid GA and SA dynamic set-up planning optimization," International Journal of Production Research, vol. 40:18, pp. 4697-4719, 2002 https://doi.org/10.1080/00207540210155864
 Paulo, J.; Lashkar, R. S. ; Dutta, S.P., "Operation allocation and materials-handling system selection in a flexible manufacturing system: A sequential modelling approach," International Journal of Production Research, vol. 40:1, pp. 7-35, 2002 https://doi.org/10.1080/00207540110073028
 S. Sujono and L. Lashkari, "A multi-objective model of operation allocation & material handling system selection in FMS design," International Journal of Production Economics, vol. 105, pp. 116-133, 2007 https://doi.org/10.1016/j.ijpe.2005.07.007
 A. Azab and H. A. ElMaraghy, "Reconfigurable Process Plans: A new approach to minimize change," in Changeable and Reconﬁgurable Manufacturing Systems, Windsor, Springer-Verlag London Limited, 2009, pp. 179-194.
 M. G. Kay, Material Handling Equipment, 2012.
 Y. Koren, "General RMS Characteristics. Comparison with Dedicated and Flexible Systems," in Reconfigurable Manufacturing Systems and Transformable Factories, 2006, pp. 27-45.