دانلود مقاله ISI انگلیسی شماره 41315
ترجمه فارسی عنوان مقاله

تولید مشترک و برنامه ریزی پیمانکاری سیستم های تولید چندمحصولی چندمرکزی غیر قابل اعتماد

عنوان انگلیسی
Joint production and subcontracting planning of unreliable multi-facility multi-product production systems ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
41315 2015 16 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Omega, Volume 50, January 2015, Pages 54–69

ترجمه کلمات کلیدی
تولید کنترل / قرارداد - صنعت داروسازی - سطح سرویس - مدل سازی شبیه سازی - بهینه سازی - روش سطح پاسخ
کلمات کلیدی انگلیسی
Production/subcontracting control; Pharmaceutical industry; Service level; Simulation modeling; Optimization; Response surface methodology
پیش نمایش مقاله
پیش نمایش مقاله  تولید مشترک و برنامه ریزی پیمانکاری سیستم های تولید چندمحصولی چندمرکزی غیر قابل اعتماد

چکیده انگلیسی

The objective is to propose a general control policy for the system under consideration, and to obtain, in the case of two facilities, optimal control parameters that minimize the total incurred cost for a specific level of the customer service provided. Given the complexity of the problem considered, an experimental optimization approach is chosen in order to determine the optimal control parameters. This approach includes experimental design, analysis of variance, response surface methodology and simulation modeling. It allows the accurate representation of the dynamic and stochastic behaviors of the production system and the assessment of optimal control parameters. Other control parameters which represent the subcontracting are introduced and three joint production/subcontracting control policies (general, urgent, regular) are compared to one another. The proposed joint production/regular subcontracting control policy involves a cost decrease of up to 20%, as compared to results obtained by Dror et al. [1], who used a simplified control policy in addition to a heuristic solution approach for a real case study. This policy offers not only cost savings, but is also easier to manage, as compared to that proposed by Dror et al. [1]. Numerical examples and a sensitivity analysis are also performed to illustrate the robustness of the proposed control policy and the solution approach.