تعیین کمیت بهینه و سطوح کیفیت محصولات دست دوم
ترجمه نشده

تعیین کمیت بهینه و سطوح کیفیت محصولات دست دوم

عنوان فارسی مقاله: تعیین کمیت بهینه و سطوح کیفیت محصولات دست دوم و برگشت خورده برای تولید دوباره تحت کیفیت نامطمئن و چند زمانه محصولات برگشت خورده
عنوان انگلیسی مقاله: Determining the optimal quantity and quality levels of used product returns for remanufacturing under multi-period and uncertain quality of returns
مجله/کنفرانس: مجله بین المللی تکنولوژی تولید پیشرفته – The International Journal of Advanced Manufacturing Technology
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: مدیریت صنعتی
کلمات کلیدی فارسی: بازسازی، عدم قطعیت، بازده محصول، مدل چند دوره ای، مدل های تقاضای دینامیکی
کلمات کلیدی انگلیسی: Remanufacturing، Uncertainty، Product returns، Multi-period models، Dynamic demand models
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journal List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1007/s00170-017-1141-0
دانشگاه: Industrial and Manufacturing Systems Engineering – Iowa State University – USA
ناشر: اسپرینگر - Springer
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2018
ایمپکت فاکتور: ۲٫۶۰۱ در سال ۲۰۱۷
شاخص H_index: ۹۰ در سال ۲۰۱۸
شاخص SJR: ۰٫۹۹۴ در سال ۲۰۱۸
شناسه ISSN: 1433-3015
فرمت مقاله انگلیسی: pdf
تعداد صفحات مقاله انگلیسی: 14
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
کد محصول: E10575
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Proposed methodology


3- Case study


4- Discussion of results


5- Conclusions and future work


References

نمونه متن انگلیسی مقاله

Abstract


Managing product returns has been considered essential in the production planning and control of remanufacturing, as well as in the inventory control management of product returns. Uncertainties in the quantity and quality of returned products collected for remanufacturing could largely affect the profit generated from remanufactured products. However, determining the optimal quantity and quality levels of used products to be collected for remanufacturing in multiple periods under uncertain quality of the returns has not been properly addressed in previous studies. On the other hand, the effects of new product sales and demand for remanufactured products on used product returns, as well as the effect of quality of returns on the takeback and remanufacturing costs, have not been properly considered in previous studies. In this paper, a novel methodology is proposed to determine the optimal product returns for remanufacturing with consideration of the uncertainty in the quantity and quality of returns and study the effects of new product sales and demand for remanufactured products on used product returns, as well as the effect of quality of returns on the remanufacturing cost. A case study of determining the optimal returns of tablet PCs is conducted to illustrate the proposed methodology.


Introduction


With the increase in global consumption and technological development, countless products are discarded before their end-of-life (EoL) every year. These wasted products often lead to environmental pollution and the loss of the remaining value of the used products. For example, consumer electronics (e.g., cellular phones and tablet PCs) have particularly high demands but short product life cycles [1]. Therefore, numerous of such products have immense potential for product recovery, which could help protect the environment and recover the value of discarded products. Recently, a growing focus on product recovery strategies has been observed throughout the entire product life cycle [2] because of stringent international legislations and government regulations, increasing social concerns on environmental protection, and profit generation [3]. End-of-use products can be collected, recovered, and sold in markets as remanufactured products. De Giovanni and Zaccour [4] and Chuang et al. [5] examined closed-loop supply chain models with consideration of environmental and operational performances in which product collection is undertaken by manufacturers, retailers, and/or third-party firms. Akcali and Cetinkaya [6] conducted a review of product return models for inventory and production planning in a closed-loop supply chain network under various demand conditions. Managing product returns has been considered to be essential for the production planning and control and inventory control of remanufacturing [1, 7, 8]. Shaharudin et al. [8] conducted an empirical study to investigate the management of product returns in terms of manufacturing, distribution, and customer returns. Overall, considerable uncertainty exists in the quantity, timing, and quality of the returned products [9–11], which could largely affect the profit generated from remanufactured products.

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