Scenario-Based Model for Multi-Product Multi-Level Supply Chain Management with Stochastic Demand and Waiting Time | ||
| Advances in Industrial Engineering | ||
| مقاله 10، دوره 52، شماره 2، پاییز 2018، صفحه 249-261 اصل مقاله (1.08 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jieng.2018.220418.1256 | ||
| نویسندگان | ||
| Mohammad Bagher Fakhrzad* ؛ Zahra Sadat Hosseini؛ Javad Hassanpour Roudbaraki | ||
| Department of Industrial Engineering, Yazd University, Yazd, Iran | ||
| چکیده | ||
| In this paper, a model is presented for managing multi-product multi-level supply chain by using predictive control of scenario-based model, which can handle supply chain with stochastic programming of the uncertainty that is caused by demand and random waiting time. In addition, it guarantees a certain level of customer service in the form of horizon at 95% level of confidence. Probabilistic waiting time may lead to lash effect throughout the entire chain, and causes shortages at different levels. Therefore, cost of facing shortages is considered in the model. After modeling, the problem is solved in probabilistic state, and to solve larger problems imperialist competitive algorithm is used. Results indicate that SCMPC is computationally very efficient, and offers significant advantage over the robust and stochastic optimization. | ||
| کلیدواژهها | ||
| Multi Period؛ Multiproduct؛ Predictive Control؛ Scenario-Based Optimization؛ Stochastic Programming | ||
| مراجع | ||
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