An analysis of the performance of push, pull and hybrid production systems in manufacturing supply chains

Bazin, NEN 2010, An analysis of the performance of push, pull and hybrid production systems in manufacturing supply chains , PhD thesis, Salford : University of Salford.

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This thesis presents the analysis of dynamic behaviour arising from different production planning systems in manufacturing supply chains. Models of push, pull and hybrid production planning systems are developed using the system dynamics methodology, so allowing valid comparisons across the models. Although these production planning methods are well discussed in the literature in the light of their performance in different manufacturing systems, this research has a different approach. The models allow experimentation using a variety of hypothetical demand patterns as input, so as to reflect the current increasing uncertainty in customer demand. Results from the simulation runs are analysed on a comparative basis. Aspects such as the stock levels, back-order levels and cumulative costs are considered as performance metrics. In supply chains today, demand amplification (commonly called the bullwhip effect) remains one of the most difficult issues to resolve. The volatility of this wave can be observed from downstream customers placing orders, through retailers, distributors and finally the end member of the supply chain: manufacturers. This is the point where the research can offer some help. Findings from the analysis will provide insight as to how this wave transmits through manufacturers' operations under distinct production planning methods, together with the costs incurred by such instability. In addition, dynamic optimization of parameter values in the models (to minimise cumulative costs) is shown to be a useful methodological tool for managers in making decisions concerning stock and backlog policies.

Item Type: Thesis (PhD)
Contributors: Dangerfield, B (Supervisor)
Schools: Schools > Salford Business School
Depositing User: Institutional Repository
Date Deposited: 03 Oct 2012 13:34
Last Modified: 04 Aug 2022 11:27

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