Supplier selection among alternative scenarios by Data envelopment analysis

محورهای موضوعی : Data Envelopment Analysis

محسن واعظ قاسمی ¹ (Department of Mathematics, Islamic Azad University, Rasht Branch)

تاریخ دریافت : 1394/05/03 تاریخ پذیرش : 1394/08/07 تاریخ انتشار : 1394/09/10

کلید واژه: supply chain management, Data envelopment analysis, Mixed Integer Programming, Binary Variables,

چکیده مقاله :

A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like lead-time, transportation cost and transportation path. In this paper a mathematical model using Data Envelopment Analysis (DEA) technique and binary algorithm for selecting suppliers with different scenarios is used which can evaluate suppliers with variable preferences and replacement for other suppliers.A considerable problem in competitive trade world is choosing the best supply chain. As a result in much more serious circumstances of competitions looking for the best supplier for manufacturing, for preparing raw material, is very significant. Meantime suppliers have different scenarios to be fulfilled, such as changing selection variables like lead-time, transportation cost and transportation path. In this paper a mathematical model using Data Envelopment Analysis (DEA) technique and binary algorithm for selecting suppliers with different scenarios is used which can evaluate suppliers with variable preferences and replacement for other suppliers.

چکیده انگلیسی:

مشکل قابل توجه در تجارت رقابتی جهان انتخاب بهترین زنجیره تامین است. به عنوان نتیجه در شرایط بسیار جدی تر از رقابت ها به دنبال بهترین تامین کننده برای ساخت، برای تهیه مواد اولیه بسیار مهم است. در ضمن تامین کنندگان حالات مختلفی برای برآورد شدن دارند، مانند تغییر متغیرهای انتخاب مانند زمان بین تصمیم گیری به تولید کالای بخصوص و آغاز تولید آن ، هزینه های حمل و نقل و مسیر حمل و نقل. در این مقاله مدل ریاضی از تحلیل پوششی داده ها (DEA)، تکنیک و الگوریتم باینری برای انتخاب تامین کنندگان با سناریو های مختلف استفاده کرده که می تواند تامین کنندگان را  با اولویت های متغیر و جایگزین برای تامین کنندگان دیگر ارزیابی نماید.

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