Design of supply-chain logistics system considering service level

This research is concerned with an logistics system design which optimizes the performance of logistics system subject to required service levels both in the number of warehouse or distribution centers (W/D) and vehicle routing schedule. In this paper, the logistics system includes plants, W/D and c...

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Published inComputers & industrial engineering Vol. 43; no. 1; pp. 283 - 297
Main Author Hwang, Heung-Suk
Format Journal Article
LanguageEnglish
Published New York Elsevier Ltd 01.07.2002
Pergamon Press Inc
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Online AccessGet full text
ISSN0360-8352
1879-0550
DOI10.1016/S0360-8352(02)00075-X

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Abstract This research is concerned with an logistics system design which optimizes the performance of logistics system subject to required service levels both in the number of warehouse or distribution centers (W/D) and vehicle routing schedule. In this paper, the logistics system includes plants, W/D and customers. First, we formulated this problem using stochastic set-covering problem to determine the minimum number of W/D centers among a discrete set of location sites so that the probability of each customer to be covered is not less than a critical service level and solved this problem using 0–1 programming method. Then, we formulated a vehicle routing problem using an improved genetic algorithm and developed GUI-type programming based on three-step approaches such as: (1) clustering module which converges multi-supply center problem into single supply center problems, (2) improved vehicle routing, VRP module, and (3) GA-TSP module. For the users' conveniences, the sample results have been compared with those of existing methods. This research is strongly application oriented and the proposed model can be used to real world problems with some improvements.
AbstractList This research is concerned with an logistics system design which optimizes the performance of logistics system subject to required service levels both in the number of warehouse or distribution centers (W/D) and vehicle routing schedule. In this paper, the logistics system includes plants, W/D and customers. First, this problem is formulated using stochastic set-covering problem to determine the minimum number of W/D centers among a discrete set of location sites so that the probability of each customer to be covered is not less than a critical service level and solved this problem using 0-1 programming method. Then, a vehicle routing problem was formulated using an improved genetic algorithm and developed GUI-type programming based on three-step approaches such as: 1. clustering module which converges multi-supply center problem into single supply center problems, 2. improved vehicle routing, VRP module, and 3. GA-TSP module. For the users' conveniences, the sample results have been compared with those of existing methods.
This research is concerned with an logistics system design which optimizes the performance of logistics system subject to required service levels both in the number of warehouse or distribution centers (W/D) and vehicle routing schedule. In this paper, the logistics system includes plants, W/D and customers. First, we formulated this problem using stochastic set-covering problem to determine the minimum number of W/D centers among a discrete set of location sites so that the probability of each customer to be covered is not less than a critical service level and solved this problem using 0–1 programming method. Then, we formulated a vehicle routing problem using an improved genetic algorithm and developed GUI-type programming based on three-step approaches such as: (1) clustering module which converges multi-supply center problem into single supply center problems, (2) improved vehicle routing, VRP module, and (3) GA-TSP module. For the users' conveniences, the sample results have been compared with those of existing methods. This research is strongly application oriented and the proposed model can be used to real world problems with some improvements.
Author Hwang, Heung-Suk
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Keywords Logistics system design
Stochastic set-covering problem
Vehicle routing problem
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SubjectTerms Logistics
Logistics system design
Mathematical models
Optimization
Routing
Stochastic set-covering problem
Studies
Systems design
Vehicle routing problem
Vehicles
Title Design of supply-chain logistics system considering service level
URI https://dx.doi.org/10.1016/S0360-8352(02)00075-X
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