A genetic algorithm to determine a production schedule under time-vary unit cost and shortages
Chang Ouyang Bing, Bo Hsiao Liang
Chang Ouyang Bing
Available Online October 2015.
- https://doi.org/10.2991/icadme-15.2015.71How to use a DOI?
- Time-vary unit cost; Economic production quantity; Shortage; Genetic algorithm
- Considering a linear or exponential trend in unit production cost under a foreseeable time horizon, this study discusses the economic production quantity (EPQ) with shortages problem for a production system. A genetic algorithm (GA) with the chromosome of real number type to solve this problem is presented. Although, standard GA operators are used to generate new populations, the particular of this study is that we select two differentiate equations to develop a proposed production scheme. Then, compute the total cost with this production scheme as the fitness function to evaluate the populations. In this study, an explicit procedure to obtain the local optimal solution is provided and numerical examples to illustrate the proposed model are shown as well.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chang Ouyang Bing AU - Bo Hsiao Liang PY - 2015/10 DA - 2015/10 TI - A genetic algorithm to determine a production schedule under time-vary unit cost and shortages BT - Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering PB - Atlantis Press SP - 356 EP - 359 SN - 2352-5401 UR - https://doi.org/10.2991/icadme-15.2015.71 DO - https://doi.org/10.2991/icadme-15.2015.71 ID - Bing2015/10 ER -