Abstract




 
   

IJE TRANSACTIONS A: Basics Vol. 31, No. 7 (July 2018) 1427-1435    Article in Press

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  COLLABORATIVE CLOSED-LOOP SUPPLY CHAIN NETWORK DESIGN FOR TIRE INDUSTRY WITH TWO-STAGE STOCHASTIC PROGRAMMING
 
M. Hajiaghaei-Keshteli, K. S. Abdallah and A. M. Fathollahi Fard
 
( Received: December 23, 2017 – Accepted: February 15, 2018 )
 
 

Abstract    Recent papers in the concept of Supply Chain Network Design (SCND) have seen a rapid development of using uncertain models to get closer to real applications. According to the type of the products, e.g. tire, the structure of supply chain network varies. In tire industry, the difficulties in degradation of scrapped tires and the difficulties in recovering material and energy costs lead to recycling scraped tires through a closed-loop supply chain network. This paper proposes a two-stage stochastic model for tire closed-loop SCND. In the first stage the model optimizes the expected cost, then, the financial risk is incorporated as an objective function in the second stage of the model to control the uncertainty variables leading to a robust solution. To solve the problem, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are used. To enhance the efficiency of algorithms, Response Surface method (RSM) is utilized. The proposed model is evaluated using different problems with different complexity, and different metrics of the Pareto front are used to compare the proposed model.

 

Keywords    Two-stage stochastic programming, Tire closed-loop supply chain, Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Response Surface Method (RSM).

 

چکیده    مقاله های اخیر در مورد طراحی شبکه زنجیره تامین به سرعت در حال توسعه با استفاده از مدل های تحت عدم قطعیت برای نزدیک شدن به کاربردهای دنیای واقعی است. با توجه به نوع محصولات مانند چرخ خودرو، ساختار زنجیره تامین تغییر می کند. در صنعت تایر، سختی ها و باز استفاده تایرهای کهنه و همه این سختی ها در بازسازی انرژی و هزینه های اضافه منجر به بازیافت چرخ های خودرو استفاده شده در میان یک طراحی شبکه زنجیره تامین حلقه بسته می شود. این مقاله، یک مدل دو مرحله ای تصادفی را برای زنجیره تامین حلقه بسته تایر طراحی می کند. در مرحله اول، مدل هزینه انتظاری را بهینه سازی می‌کند. سپس، ریسک مالی در یک تابع هدف مجزا در مرحله دوم مدل اقدام به کنترل عدم قطعیت متغیرهای تصمیم گیری برای رسیدن به یک جواب پایدار می کند. برای حل این مساله، الگوریتم بهینه سازی ازدحام ذرات و الگوریتم ژنتیک به کار گرفته شده ‌اند. برای افزایش اثربخشی الگوریتم ها، روش سطح پاسخ به کار گرفته شده است. مدل پیشنهاد شده با مسائل مختلف با سطح های دشواری متفاوت و پارامترهای ارزیاب مختلف برای جواب های بهینه پارتو با یکدیگر مقایسه شده اند.

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