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Study On The Models Of Locating The Distribution Centers Based On The Multi-stage Responding Time In Supply Chain

Posted on:2005-05-22Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y H LiFull Text:PDF
GTID:1116360152968601Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The birth of the concept of multi-stage responding time (MRT) in supply chain (SC)mainly results from two factors. On the one hand, corporations choose increasingly toenhance their comprehensive strengths by supply chain management (SCM) due to thecontinuous development of economic globalization. On the other hand, time-basedcompetition has been given more extensive attention by researchers and practitioners sinceStalk suggested that the time be a key source of competitive advantage. Research of SCs had found that the time consumed in the process of logistics exceedsfar more than that in manufacturing, and the longer the SC is, the clearer this phenomenonis. Since the compressible space of the manufacture sub-cycle is decreasing, it is moreimportant to compress the logistics sub-cycle. Optimize the logistics system, such asoptimizing the design of distributional system, the transportation polices, storage polices,etc., can shorten the logistics responding time of SC, and has significance in shortening theMRT of SC. Location of the distribution centers (DCs) is one of the important decision problems indesigning distributional system. The locations of DCs decide the pattern, framework andform of whole distributional system. By resolving different kinds of location-allocationproblems, the quantity, locations and sizes of the facilities employed in distributionalsystem can be decided. These facilities include all kinds of nodes in the system, such asplants, warehouses, DCs, distribution points, and so on. Through the distributional system,goods could pass trough and pause at each node before being dispatched to the final users,among which DCs are the key nodes that connect the supply and demands. In the course of the location decision-making, many factors should be considered,including the multiple products existing in the system, the multiple manufactures who offerthe multiple products, the multiple customs who have multiple demands, and the multipleDCs which provide service to all demand points. Therefore, the location problems usuallyare very complex. It is quite necessary to build the rational models and design effectivealgorithms, which can assist the decision-makers to make location decisions. Guided bysuch ideology, this dissertation researched several kinds of models to locate the DCs basedon the MRT in SC on basis of field census, which could be summarized as follows: (1) Empirical study on the MRT of SC. First, SCs of three different industries had beenanalyzed, which led to the summarization of the operational characteristics of the MRT of III华 中 科 技 大 学 博 士 学 位 论 文SC as well as impact of different management pattern on MRT. Second, the case studyfound that, the adoption of TPL distribution pattern could not only shorten the distributioncycle efficiently, bust also deduce the logistic distribution cost apparently. Third, throughthe fieldwork and theoretically analysis, comparisons of service efficiency had been madebetween two distributional systems. This part of content provides a practical backgroundfor following research. (2) Time-based certain location models. Several time-based certain location modelshad been built, and the corresponding heuristic algorithm for each model had been designedaccording to the characters of models. For the time constrained model of single-source &single-product system, the comparison was made among the heuristic algorithm and twokinds of traditional algorithms. Furthermore, a numerical example was given, in which thedatum were gained from the fieldwork. Making use of the program developed by author,the time-constrained model of multi-source & multi-product system can be resolved bycomputer. As to the former, a numerical example of this model was given, too. There wasno numerical example for the multi-source, multi-product & multi-object model, but theflow chart of algorithm of this model was presented.
Keywords/Search Tags:Supply Chain (SC), Multi-stage Responding Time, Distribution Center (DC), Location Problem, Model
PDF Full Text Request
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