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An efficient search algorithm for obtaining the optimal replenishment strategies in assembly-type just-in-time supply chain systems.
- Source :
-
Journal of Industrial & Production Engineering . Mar2018, Vol. 35 Issue 2, p118-128. 11p. - Publication Year :
- 2018
-
Abstract
- An assembly-type just-in-time (JIT) supply chain system is composed of a main serial supply chain and several branching serial supply chains merging to the main supply chain. Under the assumption of constant demand rate, the replenishment problem in the assembly-type JIT supply chain systems can be formulated as a mixed-integer non-linear programming problem. We conduct thorough theoretical analysis on the properties of the objective function value curve in this study. Following our theoretical analysis, we propose a search algorithm that effectively solves an optimal solution. Our numerical experiments show that the average run time of the proposed algorithm grows in a linear order of the problem size, and the proposed algorithm may serve as an efficient solution approach for the decision-maker. [ABSTRACT FROM PUBLISHER]
- Subjects :
- *SUPPLY chains
*SEARCH algorithms
*MIXED integer linear programming
Subjects
Details
- Language :
- English
- ISSN :
- 21681015
- Volume :
- 35
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Industrial & Production Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 128104161
- Full Text :
- https://doi.org/10.1080/21681015.2017.1422041