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

Bazin, NEN

Abstract

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.

Citation

Bazin, N. An analysis of the performance of push, pull and hybrid production systems in manufacturing supply chains. (Thesis). Salford : University of Salford

• Thesis Type: Thesis
• Deposit Date: Oct 3, 2012
• Award Date: Jan 1, 2010