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Research On Joint Replenishment And Transshipment For Three Locations

Posted on:2018-07-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2359330515460133Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
How to deal with the mismatch of demand and supply is an important issue in inventory management,with the fast development of globalization and the day-and-day growth of international trade,many firms face the following problem:one is the initial distribution decision at the beginning of the selling season;another one is the supply decision when demand arrives during the entire selling season.Many firms generally have several selling locations,while it's always intractable for multi-location problem.Here,we pay attention to three distribution stores.There are two decisions:the first one is the initial stocking decision at the beginning of the selling season;the second one is the supply decision when a demand arrives over the entire selling season.Modeling the problem with compound Poisson demand by a stochastic dynamic programming;investigating the upper bound and lower bound and furthermore the contribution of the two decisions,providing some heuristics and numerical study.The results indicate that the optimal transshipment/supply policy and the optimal initial stocking quantities can be obtained along with the structure properties of the value function;upper bound and lower bound derived by the hind-sight policy and static pol-icy respectively are both asymptotically optimal;contributions to the profit of the two decisions are of different order;the optimal initial order solutions almost coincide with the upper bound solutions;heuristics use upper bound solution as the initial stocking quantity along with a simple transshipment policy can be expected to achieve a near op-timal performance,which can be extended to multi-location problem,and in this way,the curse of dimensionality for multi-location problem can be avoided to some extent.
Keywords/Search Tags:inventory management, dynamic programming, asymptotically optimal
PDF Full Text Request
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