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دسته بندی:
زنجیره تامین - supply chain
سال انتشار:
2017
عنوان انگلیسی مقاله:
A Multi-objective, simulation-based optimization framework for supply chains with premium freights
ترجمه فارسی عنوان مقاله:
چارچوب مببتنی بر شبیه سازی بهینه سازی چند هدفه برای زنجیره های تامین با کالاهای حق بیمه
منبع:
Sciencedirect - Elsevier - Expert Systems With Applications, 67 (2017) 95-106. doi:10.1016/j.eswa.2016.09.034
نویسنده:
Mualla Gonca Avci∗, Hasan Selim
چکیده انگلیسی:
In this study, a multi-objective, simulation-based optimization framework is developed for supply chain
inventory optimization. In this context, a supply chain consisting of a supplier and a number of plants
is considered. The plants use a periodic-review order-up-to level policy and request premium freights
from the supplier in case of a risky inventory position. Under this setting, the aim of the study is to
determine supplier flexibility and safety stock levels that yield the best performance in terms of holding
cost and premium freights. Accordingly, a decomposition-based multi-objective differential evolution al
gorithm (MODE/D) is developed for the proposed framework. As the proposed framework considers both
holding cost and premium freight performance, it enables the managers to determine the best tradeoff
between the objectives. Consequently, managers have a broad decision spectrum in determining supplier
flexibility and safety stock levels. The proposed framework is implemented to a real world multi-national
automotive supply chain. Purposely, the results obtained by the proposed framework with MODE/D are
compared with the results of non-dominated sorting genetic algorithm II (NSGA-II) and current operating
condition of the supply chain. The results reveal that MODE/D yields better holding cost and premium
freight performance than those of NSGA-II and current operating condition of the supply chain.
Keywords: Simulation-based optimization | Differential evolution | NSGA-II | Inventory management
قیمت: رایگان
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