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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Optimization of Manufacturing Supply Chain with Stochastic Demand and Planned Delivery Time
Author(s)
Sadok Turki and Nidhal Rezg
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DOI:10.17265/2328-2142/2017.01.004
Affiliation(s)
LGIPM, Université de Lorraine, Ile du Saulcy, 57045 Metz Cedex, France
ABSTRACT
In this paper, a
manufacturing supply chain system composed by a single-product machine, a
buffer and a stochastic demand is considered. A stochastic fluid model is
adopted to describe the system and to take into account stochastic delivery
times. The objective of this paper is to evaluate the optimal buffer level used
in hedging point policy taken into account planned delivery times, machine
failures and random demands. This optimal buffer allows minimizing the sum of
inventory, transportation, lost sales and late delivery costs. Infinitesimal
perturbation analysis method is used for optimizing the proposed system. Using
the stochastic fluid model, the trajectories of buffer level are studied and
the infinitesimal perturbation analysis estimators are evaluated. These
estimators are shown to be unbiased and then they are implanted in an
optimization algorithm, which determines the optimal buffer level in the
presence of planned delivery time. Also in this work, we discuss the advantage
of the use of the infinitesimal perturbation analysis method comparing to classical
simulation methods.
KEYWORDS
Manufacturing supply chain, stochastic fluid model, infinitesimal perturbation analysis, planned delivery time.
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