The work of this thesis is to develop optimal control policies integrating production, supply and quality control of the raw material by sampling decisions in supply chain management context. The supply chain consists of imperfect supplier, unreliable manufacturer producing one part type and a final customer. All decisions are taken by the manufacturer. This problem is formulated by a stochastic dynamic programming model.
This supply chain faces a considerable number of events namely random lead-time, unavailability period, inspection delay, and acceptance and rejection decisions of the delivered lot. Given the high variability in decision making and the high stochastic level of the considered supply chain, an experimental approach based on simulation modelling, experimental design and Response surface methodology has been used. This approach allowed us to reproduce the dynamic behavior of the supply chain, to determine the optimal values of control parameters ant to carry out deep sensitivity analysis.
In the literature, studies that apply the acceptance sampling plan at reception in the context of managing a three-stage supply chain are almost nonexistent. However, to ensure that the decision maker achieves better performance, the coordination of different decisions is needed.
In the first part of this thesis, we have studied the case where the manufacturer applies a single sampling plan (n, c) whose parameters are known. Ours results show that the integration of discarding decision and 100% inspection and rectification decisions guarantees a better performance of the supply chain.
In the second part of this work, we are interested in an issue where the supplier is committed to improve the quality of each rejected lot and the manufacturer applies a ingle sampling plan (n, 0). The objective here is to first study the effect of optimization of sampling plan parameter and then to determine the impact of the involvement degree of the supplier in the selection of the best inspection policy: involving or not the supplier. Thus, a decision making support tools are presented.
In the final part, we are interested to propose an integrated production, replenishment and quality control in a situation where a non-conforming raw material can affect the production process by causing additional failures. The objective is to determine the best inspection strategy to adopt to balance production and supply activity.
This work presented thus, shows the importance of coordinating quality control decision at the reception with the production and supply activities.
| Date | 24 Feb 2015 |
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| Original language | French |
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| Awarding Institution | - École de technologie supérieure
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| Supervisor | Ali Gharbi (Supervisor) & Adnène Hajji (Co-supervisor) |
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Hlioui, R. (Author),
Gharbi (Supervisor) & Hajji (Co-supervisor),
24 Feb 2015Student thesis: Master's thesis › Master in Engineering: Automated Manufacturing Engineering