A State of the Art on Supply Planning and Inventory Control under Lead Time Uncertainty
Author(s) -
Alexandre Dolgui,
Oussama Ben-Ammar,
Faicel Hnaien,
Mohamed Aly Ould Louly
Publication year - 2013
Publication title -
studies in informatics and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.321
H-Index - 22
eISSN - 1841-429X
pISSN - 1220-1766
DOI - 10.24846/v22i3y201302
Subject(s) - computer science , lead (geology) , control (management) , lead time , state (computer science) , inventory control , operations research , risk analysis (engineering) , operations management , artificial intelligence , business , algorithm , mathematics , geomorphology , economics , geology
In literature, most papers examine several stochastic demand processes where order lead times are constant. In reality, manufacturing firms use inventory management software, especially MRP, which ignored lead time uncertainty. It is true that in certain special cases, lead time uncertainty has essentially no effect and can be ignored. Nevertheless more often, lead time fluctuations strongly degrade tools performance and cause high production costs, just as demand uncertainty does. Seemingly, uncertainty has been neglected for a long time in favour of studying demand uncertainties. Industry agrees that it is overdue and there is a need to rectify this oversight. Nowadays, this gap in research activity begins to be filled in order to respond to companies having non-deterministic lead-times constraints. This paper reviews some of existing literature of supply planning tools under uncertainty of lead times. The extensive literature review that we compiled consists of citations from 1970 to 2012. A classification scheme for supply planning under uncertainty is defined.
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