Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 46, Issue 19, Pages 5441-5467Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207540802273827
Keywords
Supply planning; Assembly systems; MRP environment; Random lead times; Planned lead times optimization; Discrete model; Branch and bound
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This paper examines supply planning in an MRP environment for assembly systems under lead time uncertainties. Indeed. inventory control in a supply chain is crucial for companies who wish to satisfy their customer demands on time as well as controlling costs. A common approach is to use the MRP techniques However. these techniques are based on the supposition that lead times are known. In an actual supply chain the lead times are often random variables. Therefore. we develop all efficient exact model to aid in MRP parametrization under lead time uncertainties, more precisely to calculate planned lead times when the component procurement times are random. The aim is to find the values of planned lead times which minimize the sum of the average component holding cost and the average backlogging cost. The developed approach is based on a mathematical model of this problem with discrete decision variables and a branch and bound algorithm.
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