2002
DOI: 10.1016/s0377-2217(01)00345-9
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A single-vendor and multiple-buyers production–inventory policy for a deteriorating item

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Cited by 138 publications
(65 citation statements)
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“…This method however can result in an exhaustive search if k tends to get large values. In studies with similar models and objective function in terms of complexity, researchers develop a heuristic to solve the problem to avoid time consuming solution process (see Pal et al, 2005;Yan, Banerjee, & Yang, 2011;Yang & Wee, 2002). In this research a heuristics is suggested that combines genetic algorithm (GA) and a neighbouring search which can search the feasible area, solve the problem in a short time and give a near-optimal solution.…”
Section: Optimisationmentioning
confidence: 99%
“…This method however can result in an exhaustive search if k tends to get large values. In studies with similar models and objective function in terms of complexity, researchers develop a heuristic to solve the problem to avoid time consuming solution process (see Pal et al, 2005;Yan, Banerjee, & Yang, 2011;Yang & Wee, 2002). In this research a heuristics is suggested that combines genetic algorithm (GA) and a neighbouring search which can search the feasible area, solve the problem in a short time and give a near-optimal solution.…”
Section: Optimisationmentioning
confidence: 99%
“…During the shortage period, the backlogging rate is variable and is dependent on the length of the waiting time for the next replenishment. Let 9. The cost of ordering is C r per replenishment.…”
Section: Assumptions and Notationmentioning
confidence: 99%
“…Wee (2002, 2003) have conducted research on the inventory policy for deteriorating item in the supply chain including a single vendor and multibuyers. Yang and Wee (2002) developed a multi-lot-size production and inventory model for deteriorating items with constant production and demand rates. The studies on stochastic deteriorating items inventory in the supply chain at present are much less than the ones on the deterministic deteriorating items inventory.…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%