یک مدل DEA برای تخمین بازده به مقیاس جهتی زنجیره تامین پایدار: کاربردی ازصنعت برق

محورهای موضوعی : تحقیق در عملیات

مژگان پورعلیزاده ^{1 *}

1 - گروه ریاضی، واحد لاهیجان، دانشگاه آزاد اسلامی، لاهیجان، ایران.

تاریخ دریافت : 1401/11/12 تاریخ پذیرش : 1402/08/14 تاریخ انتشار : 1404/09/10

کلید واژه: Directional Scale Elasticity&quot, Strongly Efficient Frontier&quot, Directional Return to Scale&quot, , , &quot, , &quot, , &quot, Supply Chain&quot, &quot, Disproportionate Change&quot,

چکیده مقاله :

یکی از مهمترین جنبه های تحلیل تولید در فعالیتهای اقتصادی یک زنجیره تامین تعیین الگو و خط مشی مناسب بمنظور تخصیص منابع به بخشهای زنجیره تامین جهت ارتقای بازده اقتصادی میباشد. چگونگی نحوه بکارگیری منابع تحت نسبتی از ورودیها جهت افزایش بازده افتصادی و پایداری زنجیره تامین امری لازم وضروری است. هدف این مقاله تخمین بازده به مقیاس جهتی زنجیره تامین الکتریسیته تحت تغییرات نامتناسب ورودیها است بطوریکه اختصاص منابع بر اساس نسبت مناسبی از ورودیها نه تنها بازده اقتصادی را افزایش میدهد بلکه سبب کنترل منابع و جلوگیری ازهدر رفت آن میشود. این مطالعه دارای دو نتیجه کاربردی برای تخمین بازده به مقیاس بخشهای زنجیره تامین الکتریسیته در صنعت برق میباشد. اولا تخمین بازده به مقیاس جهتی در شناسایی عملکرد بخشهای زنجیره تامین به منظور کنترل منابع و حفظ محیط از انتشار آلاینده های مضر مفید میباشد خطوط توزیع برق زنجیره های تامین عملکرد مفیدی را در بکارگیری جهت های مناسب به منظور افزایش بازده اقتصادی ارایه نمودند. شبکه های توزیع برق 60% زنجیره های تامین دارای قابلیت و ظرفیتهای لازم در بکارگیری جهت های مناسب به منظور افزایش بازده اقتصادی میباشند. ثانیا اختصاص منابع در بخشهای زنجیره تامین تحت الگوی مناسب راهکار منطقی جهت افزایش منابع موجود دربخشها فراهم مینماید بطوریکه تصمیم گیرنده قادر است جهتی را برای افزایش منابع بخشهای زنجیره تامین انتخاب نماید بطوریکه افزایش بازده اقتصادی را ایجاد نماید.

چکیده انگلیسی:

One of the most important aspects of production analysis in supply chain economic activities is determining the appropriate pattern and policy to allocate resources among supply chain divisions for improving economic efficiency. How to use resources within a ratio of inputs is a critical issue for increasing economic returns and ensuring supply chain sustainability. This study aims to estimate the directional return to scale of the electricity supply chain under disproportionate changes in inputs. This is because resource allocation based on the proper proportion of inputs not only increases economic return but also causes capacity control and prevents resource losses. This paper presents two applied implementations of return-to-scale estimation of supply chain divisions in the power industry. Firstly, directional return scale estimation is useful in identifying the performance of supply chain divisions in order to control resources and protect the environment from the release of harmful pollutants. The distribution lines of supply chains displayed efficacious performance in using appropriate directions in order to increase economic efficiency. The distribution networks of 60% of supply chains had the necessary capabilities and capacities to use appropriate directions in order to enhance economic efficiency. Second, resource allocation of supply chain divisions under the right policy provides a logical solution to the available resource increase of divisions to the extent that the decision-maker can choose the direction for resource increase of supply chain divisions as a means of increasing economic return.

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