Aryanezhad, M., Karimi-Nasab, M., Fatemi Ghomi, S. (2009). Building a Multi-Objective Model for Multi-Product Multi-Period Production Planning with Controllable Processing Times: A Real Case Problem. Journal of Optimization in Industrial Engineering, Volume 2(Issue 4), 1-11.
Mir Bahadorgholi Aryanezhad; Mehdi Karimi-Nasab; Seyed Mohammad Taghi Fatemi Ghomi. "Building a Multi-Objective Model for Multi-Product Multi-Period Production Planning with Controllable Processing Times: A Real Case Problem". Journal of Optimization in Industrial Engineering, Volume 2, Issue 4, 2009, 1-11.
Aryanezhad, M., Karimi-Nasab, M., Fatemi Ghomi, S. (2009). 'Building a Multi-Objective Model for Multi-Product Multi-Period Production Planning with Controllable Processing Times: A Real Case Problem', Journal of Optimization in Industrial Engineering, Volume 2(Issue 4), pp. 1-11.
Aryanezhad, M., Karimi-Nasab, M., Fatemi Ghomi, S. Building a Multi-Objective Model for Multi-Product Multi-Period Production Planning with Controllable Processing Times: A Real Case Problem. Journal of Optimization in Industrial Engineering, 2009; Volume 2(Issue 4): 1-11.
Building a Multi-Objective Model for Multi-Product Multi-Period Production Planning with Controllable Processing Times: A Real Case Problem
1Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
2Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
Abstract
Model building is a fragile and complex process especially in the context of real cases. Each real case problem has its own characteristics with new concepts and conditions. A correct model should have some essential characteristics such as: being compatible with real conditions, being of sufficient accuracy, being logically traceable and etc. This paper discusses how to build an efficient model for a real case production planning problem. This process is reinforced by providing the proofs confirming the special characteristics of the final model such as proving its NP-Completeness. Also, the extremes of both objective functions – production smoothing versus cost minimizing – are calculated analytically. Finally, the case study and its solution methods are discussed briefly.
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