The simplified solution procedures for solving replenishment lot size problem with discontinuous issuing policy and rework
| Autor: | Pin-Shou Ting, Jui-Jung Liao, Leopoldo Eduardo Cárdenas-Barrón, Kun-Jen Chung |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Mathematical optimization
biology Computer science Rework 02 engineering and technology Function (mathematics) biology.organism_classification computer.software_genre 01 natural sciences Expert system 010104 statistics & probability Chen Value (economics) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0101 mathematics computer |
| Zdroj: | Journal of Information and Optimization Sciences. 39:1665-1672 |
| ISSN: | 2169-0103 0252-2667 |
| DOI: | 10.1080/02522667.2017.1395148 |
| Popis: | Recently, Chen et al. [Expert Systems with Applications 39, (2012), 2232-2235] present an alternative approach for solving replenishment lot size problem with discontinuous issuing policy and rework. They consider the number of shipments as a fixed and given value. Then, Cardenas-Barron et al. [Expert Systems with Applications 39, (2012), 13540- 13546] treat the long-run average costs per unit time for Chen et al (2012)'s inventory model as a function of the replenishment lot size Q and number of shipments n. Cardenas-Barron et al. (2012) present a solution procedure to obtain the optimal replenishment lot size and the optimal number of shipments jointly for the inventory models of Chen et al. (2012). This paper follows Cardenas-Barron et al. (2012)'s viewpoint to adopt the calculus approach to get the optimal solution of Q and n jointly. The solution procedures to get the optimal solution obtained by our approach can simplify those of Cardenas-Barron et al. (2012). |
| Databáze: | OpenAIRE |
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