Approximation Algorithms for the Capacitated Multi-Item Lot-Sizing Problem via Flow-Cover Inequalities
نویسندگان
چکیده
منابع مشابه
Approximation Algorithms for the Capacitated Multi-Item Lot-Sizing Problem via Flow-Cover Inequalities
We study the classical capacitated multi-item lot-sizing problem with hard capacities. There are N items, each of which has speci ed sequence of demands over a nite planning horizon of T discrete periods; the demands are known in advance but can vary from period to period. All demands must be satis ed on time. Each order incurs a time-dependent xed ordering cost regardless of the combination of...
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We study the non-uniform capacitated multi-item lot-sizing (CMILS) problem. In this problem, there is a set of demands over a planning horizon of T time periods and all demands must be satisfied on time. We can place an order at the beginning of each period s, incurring an ordering cost Ks. The total quantity of all products ordered at time s can not exceed a given capacity Cs. On the other han...
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This paper proposes a mixed integer programming model for single-item capacitated lot-sizing problem with setup times, safety stock, demand shortages, outsourcing and inventory capacity. Due to the complexity of problem, three meta-heuristics algorithms named simulated annealing (SA), vibration damping optimization (VDO) and harmony search (HS) have been used to solve this model. Additionally, ...
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This paper proposes a new mixed integer programming model for multi-item capacitated lot-sizing problem with setup times, safety stock and demand shortages in closed-loop supply chains. The returned products from customers can either be disposed or be remanufactured to be sold as new ones again. Due to the complexity of problem, three meta-heuristics algorithms named simulated annealing (SA) al...
متن کاملthree metaheuristic algorithms for solving the multi-item capacitated lot-sizing problem with product returns and remanufacturing
this paper proposes a new mixed integer programming model for multi-item capacitated lot-sizing problem with setup times, safety stock and demand shortages in closed-loop supply chains. the returned products from customers can either be disposed or be remanufactured to be sold as new ones again. due to the complexity of problem, three meta-heuristics algorithms named simulated annealing (sa) al...
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ژورنال
عنوان ژورنال: Mathematics of Operations Research
سال: 2008
ISSN: 0364-765X,1526-5471
DOI: 10.1287/moor.1070.0305