کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1133173 | 1489070 | 2016 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A fuzzy EOQ model with backorders and forgetting effect on fuzzy parameters: An empirical study
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The study of learning effect on inventory models with imprecise parameters is a research topic that has recently emerged. The research papers have published so far studied this aspect from a theoretical point of view and thus the literature lacks the investigation of this topic from a practical standpoint. To close this research gap, we conducted a semi-structured interview with a number of industry experts to gain insights into the prevalence of learning and forgetting in real applications. Based on the insights gained from the interviews, we have developed a recently published model by countering the assumption of full transfer of learning. The model developed herein proposes a situation where the knowledge gained by the operator in setting imprecise parameters deteriorates over the planning cycles due to intermittent planning process. A numerical study suggests that accounting for the effect of knowledge depreciation/forgetting on imprecise parameters leads to reduction in maximum inventory, which consequently reduces the total cost of the system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Industrial Engineering - Volume 96, June 2016, Pages 140-148
Journal: Computers & Industrial Engineering - Volume 96, June 2016, Pages 140-148
نویسندگان
Nima Kazemi, Ezutah Udoncy Olugu, Salwa Hanim Abdul-Rashid, Raja Ariffin Raja Ghazilla,