inventory;
joint replenishment;
multi-item;
global optimisation;
Lipschitz optimisation;
D O I:
10.1016/S0377-2217(96)00072-0
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
During the last two decades, many heuristic procedures for the joint replenishment problem have appeared in the literature. The only available optimal solution procedure was based on an enumerative approach and was computationally prohibitive. In this paper we present an alternative optimal approach based on global optimisation theory. By applying Lipschitz optimisation one can find a solution with an arbitrarily small deviation from an optimal value. An efficient procedure is presented which uses a dynamic Lipschitz constant and generates a solution in little time. The running time of this procedure grows only linearly in the number of items. (C) 1997 Elsevier Science B.V.
机构:
Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USACornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USA
Cheung, Maurice
Elmachtoub, Adam N.
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机构:
Columbia Univ, Dept Ind Engn & Operat Res, New York, NY 10027 USACornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USA
Elmachtoub, Adam N.
Levi, Retsef
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机构:
MIT, Alfred P Sloan Sch Management, Cambridge, MA 02139 USACornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USA
Levi, Retsef
Shmoys, David B.
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机构:
Cornell Univ, Dept Comp Sci, Ithaca, NY 14853 USA
Cornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USACornell Univ, Sch Operat Res & Informat Engn, Ithaca, NY USA
机构:
Virginia Polytech Inst & State Univ, Syst Res Ctr, Dept Comp Sci, Blacksburg, VA 24061 USAVirginia Polytech Inst & State Univ, Syst Res Ctr, Dept Comp Sci, Blacksburg, VA 24061 USA