ENBIS: European Network for Business and Industrial Statistics

Control of production rate in Failure prone manufacturing system with deterioration assumption

22 September 2009, 16:55 – 17:15

Abstract

Submitted by

S.Mojtaba Sajjadi

Authors

S.M.Sajjadi,M.M.Seyedesfahani,Y.Entezarghofran

Affiliation

Amirkabir University

Abstract

The manufacturing systems are very difficult to control since there is so much uncertainty in the dynamic real world. Although, in recent years the problem has so been worked on and considerable effort has been made to implement the results on the real world complex systems, however, in real situations there are many restrictive assumptions and so in these works, in order for simplification, some real assumptions have been omitted in problem formulation and as a result these works failed to fit well in real world applications.
In real world, there are some products such as dairies or season products which are not possible to hold for an arbitrary amount of time. We design a model for a failure prone manufacturing system with deterioration assumption. The objective of this study is to minimize the overall cost consisting of maintenance cost, inventory holding cost, backlog cost, and deterioration cost.
This paper is concerned with optimal production planning for a failure prone manufacturing system which produces a single part type. This production system is a network consisting of N machines that have two states, active and inactive. The demand is constant and these active and inactive system states form a finite Markov chain.
The implementation of the method to control the production rate of manufacturing systems is based on the combination of stochastic optimal control theory, discrete event simulation, experimental design and response surface methodology .We use the simulation experiments that are coupled with experimental design and respond surface methodology to estimate the optimal control policy. We also use a methodology combining the simulation experiments and Meta heuristic method.

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