کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11019826 | 1717621 | 2019 | 28 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimal remanufacture-up-to strategy with uncertainties in acquisition quality, quantity, and market demand
ترجمه فارسی عنوان
بهینه بازسازی تا استراتژی با عدم اطمینان در کیفیت، کمیت و تقاضای بازار
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Remanufacturing promotes the limiting of waste and increasing the reuse of recoverable components from obsolete products. However, in most relevant studies, the condition of returned end of life (EOL) items is taken as a constant, which causes deviation in the cost of remanufacturing. Some researchers assume it as a discrete series, which also isolates the uncertainty analysis of quality from other uncertainty factors in the remanufacturing systems. This study considers the uncertainties in acquisition quantity, quality, and market demand, then establishes the relationships among production indices and remanufacture-up-to ratio to derive the optimum production strategies. Using the Lagrange multiplier method, we proved the existence of these optimum solutions and deduced the close-form expressions for minimum cost and maximum profit. Validated by numerical examples, our results indicated that the assumption of a condition distribution type had little influence on the optimal strategies or the optimum remanufacture-up-to ratio increases, as the expected supply and demand gap becomes wider. The method employed by this model provides an innovative approach in uncertainty analysis and helps remanufacturers adopt preemptive policies for acquisition and production.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 206, 1 January 2019, Pages 987-1003
Journal: Journal of Cleaner Production - Volume 206, 1 January 2019, Pages 987-1003
نویسندگان
Haolan Liao, Qianwang Deng, Neng Shen,