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International Journal of Engineering، جلد ۳۴، شماره ۷، صفحات ۱۷۶۶-۱۷۷۷
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کلیدواژه‌های فارسی مقاله Drug-target Interactionsو Drug discovery processو Computational Predictionو Weighted Nuclear Norm Minimization،Similarity Graph،Low-rank matrix،
عنوان انگلیسی A Bi-objective Robust Optimization Model for an Integrated Production-distribution Problem of Perishable Goods with Demand Improvement Strategies: A Case Study
چکیده انگلیسی مقاله This paper develops a bi-objective optimization model for the integrated production-distribution planning of perishable goods under uncertainty. The first objective seeks to maximize the profit in a specific supply chain with three levels: plants, distribution centers, and in the last level, customers. Since transportation is one of the major pollution sources in a distribution problem, the second objective is to minimize their emission. In the considered problem, the decisions of production, location, inventory, and transportation are made in an integrated structure. In developing the demand function, the effect of the product freshness and the price is formulated. Besides, to encourage customers, three strategies, including perished product return, discount, and credit policies, are proposed. Also, robust optimization is utilized to cope with the operational uncertainty of some cost parameters. To prove the applicability of this research and the feasibility of the environmental aspect, a case study is conducted. Finally, the numerical computations on the case study provide a trade-off between the environmental and economic goals and indicate a 37.5 percent increase in the profit using the developed model.
کلیدواژه‌های انگلیسی مقاله Integrated Production-Distribution Planning,Perishable Goods,Bi-objective Optimization,robust optimization,Environmental Considerations
نویسندگان مقاله A. Aazami |
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

M. Saidi-Mehrabad |
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

S.M. Seyed-Hosseini |
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

نشانی اینترنتی https://www.ije.ir/article_132300_5e27a39fcf8bd76ddd5ca94e12440bd3.pdf
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