Integration of part selection, machine loading and machining optimisation decisions for balanced workload in flexible manufacturing system

Mgwatu, M.

Growing Science » International Journal of Industrial Engineering Computations » Integration of part selection, machine loading and machining optimisation decisions for balanced workload in flexible manufacturing system

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print) Quarterly Publication Volume 2 Issue 4 pp. 913-930 , 2011

Integration of part selection, machine loading and machining optimisation decisions for balanced workload in flexible manufacturing system Pages 913-930 Download PDF

Authors: Mussa I. Mgwatu

DOI: 10.5267/j.ijiec.2011.05.003

Keywords: Flexible manufacturing systems, Machine loading, Machining optimisation, Part selection

Abstract: This paper demonstrates the importance of incorporating and solving the machining optimisation problem jointly with part selection and machine loading problems in order to avoid unbalanced workload in the FMS. Unbalanced workload renders to ineffective FMS such that some machines on the manufacturing shop floor become more occupied than others. Since CNC machine tools employed in the FMS are rather expensive, it is mostly important to balance the workload so that all machines can be effectively utilised. Therefore, in this study, two mathematical models are presented and solved in efforts to balance the workload and improve the performance of the FMS. A two-stage sequential approach is adopted whereby the first stage deals with the maximum throughput objective while the second stage deals with the minimum production cost objective. The results show that when part selection, machine loading and machining optimisation problems are jointly solved, more practical decisions can be made and a wide range of balanced workload in the FMS can be realised with minimum production cost objective. The results also show that the available machine time and tooling budget have enormous effects on throughput and production cost.

How to cite this paper

 Mgwatu, M. (2011). Integration of part selection, machine loading and machining optimisation decisions for balanced workload in flexible manufacturing system.International Journal of Industrial Engineering Computations , 2(4), 913-930.

Refrences

Agapiou, J.S. (1992). Optimisation of multistage machining system, part 1: mathematical solution, Journal of Engineering for Industry, 114(4), 524-531.

Chapman, W. (Ed.) (2002). Modern Machine Shop’s Handbook for the Metalworking Industries, Hanser Gardner Publications, 1st Edition, Cincinnati, Ohio, USA.

Choudhary, A. K., Tiwari, M.K., & Harding, J.A. (2006). Part selection and operation-machine assignment in a flexible manufacturing system environment: A genetic algorithm with chromosome differentiation-based methodology. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(5), 677-694.

Ermer, D.S., & Kromodihardjo, S. (1981). Optimisation of multi-pass turning with constraints. Journal of Engineering Industry, 103(3), 462-468.

Hwang, S. (1986). A constraint-directed method to solve the part selection problem in flexible manufacturing systems planning stage, Proceedings of the Second ORSA/TIMS Conference on Flexible Manufacturing Systems, Ann Arbor, Michigan, USA, 297-309.

Lambert, B.K. & Walvekar, A.G. (1978). Optimisation of Multi-Pass Machining Operations. International Journal of Production Research, 16(4), 259-265.

Liang, M. (1994). Integrating Machining Speed, Part Selection and Machine Loading Decisions in Flexible Manufacturing Systems. Computers in Industrial Engineering, 26(3), 599-608.

LINDO Systems Inc. (2008). LINDO User’s Guide, Chicago, Illinois, USA.

Manna, A., & Salodkar, S. (2008). Optimisation of Machining Conditions for Effective Turning of E0300 Alloy Steel. Journal of Materials Processing Technology, 203(1-3), 147-153.

McMaster-Carr Supply Company (2008). Cutting Tool E-Catalog, http://www.mcmaster.com, 1-3675, retrieved on Tuesday, 30th September 2008.

Mgwatu, M.I, Opiyo, E.Z. & Victor, M.A.M. (2009). Integrated Decision Model for Interrelated Sub-Problems of Part Design or Selection, Machine Loading and Machining Optimization, In Proceedings of the American Society of Mechanical Engineers (ASME) International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, San Diego, California, USA, 3-12.

Narang, R.V. & Fischer, G.W. (1993). Development of a Framework to Automate Process Planning Functions and to Determine Machining Parameters. International Journal of Production Research, 31(8), 1921-1942.

Shnumugam, M.S., Reddy, S.V.B., & Narendran, T.T. (2002). Selection of Optimal Conditions in Multi-Pass Face-Milling Using a Genetic Algorithm, International Journal of Machine Tools and Manufacture, 40, 401-414.

Stecke, K.E. (1985). Design, Planning, Scheduling, and Control Problems of Flexible Manufacturing Systems. Annals of Operations research, 3, 3-12.

Wang, P. and Liang, M. (2005). An Integrated Approach to Tolerance Synthesis, Process Selection and Machining Parameter Optimization Problems. International Journal of Production Research, 43(11), 2237-2262.

Yang, H., & Wu, Z. (2002). GA-Based Integrated Approach to FMS Part Type Selection and Machine-Loading Problem. International Journal of Production Research, 40(16), 4093-4110.