کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5079000 | 1477521 | 2017 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain
ترجمه فارسی عنوان
بررسی میزان ریسک و قابلیت اطمینان برای طراحی شبکه زنجیره تامین تحت عدم اطمینان تقاضا: مطالعه موردی زنجیره تامین شیشه
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کلمات کلیدی
طراحی شبکه زنجیره تامین، برنامه ریزی تصادفی، کاهش سناریو، راه حل × استحکام، در نظر گرفتن ریسک، شبیه سازی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
چکیده انگلیسی
This paper addresses a multi-stage and multi-period supply chain network design problem in which multiple commodities should be produced through different subsequent levels of manufacturing processes. The problem is formulated as a two-stage stochastic program under stochastic and highly time-variable demands. To deal with the stochastic demands, a Latin Hypercube Sampling method is applied to generate a fan of scenarios and then, a backward scenario reduction technique reduces the number of scenarios. Weighted mean-risk objectives by using different risk measures and minimax objective are examined to obtain risk-averse and robust solutions, respectively. Computational results are presented on a real-life case study to illustrate the applicability of the proposed approaches. To compare these different decision-making situations, a simulation approach is used. Furthermore, by several test problems, the performance of the stochastic model is investigated and the scenario generation method is evaluated in terms of in-sample and out-of-sample stability. Finally, sensitivity analysis on main parameters of the problem is performed to drive some managerial insights.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Production Economics - Volume 183, Part C, January 2017, Pages 680-699
Journal: International Journal of Production Economics - Volume 183, Part C, January 2017, Pages 680-699
نویسندگان
Kannan Govindan, Mohammad Fattahi,