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Teymouri, Ebrahim, Aboutorabiyan, Fatemeh, Babaei, Mohammad Hosein. (1396). A Hybrid Algorithm to Solve a Bi-objective Location Routing Inventory Problem in a Supply Chain under Stochastic Demand. , 51(2), 175-193. doi: 10.22059/jieng.2017.62211
Ebrahim Teymouri; Fatemeh Aboutorabiyan; Mohammad Hosein Babaei. "A Hybrid Algorithm to Solve a Bi-objective Location Routing Inventory Problem in a Supply Chain under Stochastic Demand". , 51, 2, 1396, 175-193. doi: 10.22059/jieng.2017.62211
Teymouri, Ebrahim, Aboutorabiyan, Fatemeh, Babaei, Mohammad Hosein. (1396). 'A Hybrid Algorithm to Solve a Bi-objective Location Routing Inventory Problem in a Supply Chain under Stochastic Demand', , 51(2), pp. 175-193. doi: 10.22059/jieng.2017.62211
Teymouri, Ebrahim, Aboutorabiyan, Fatemeh, Babaei, Mohammad Hosein. A Hybrid Algorithm to Solve a Bi-objective Location Routing Inventory Problem in a Supply Chain under Stochastic Demand. , 1396; 51(2): 175-193. doi: 10.22059/jieng.2017.62211

A Hybrid Algorithm to Solve a Bi-objective Location Routing Inventory Problem in a Supply Chain under Stochastic Demand

Advances in Industrial Engineering
مقاله 5، دوره 51، شماره 2، مهر 2017، صفحه 175-193    اصل مقاله (897.55 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2017.62211
نویسندگان
Ebrahim Teymouri* 1؛ Fatemeh Aboutorabiyan2؛ Mohammad Hosein Babaei1
1Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
2Faculty of Engineering, University of Tehran, Iran
چکیده
Nowadays, fierce competition in global markets has forced companies to improve the design and management of supply chains, and provide competitive advantages. Decision integrity is one of the main factors which highly lead to a considerable reduction of supply chain costs, and higher costumer’s satisfaction. Distribution network design is based on three major problems: location allocation, vehicle routing and inventory control. Since the effective role of reducing distribution costs in the survival of the supply chain is clear to all, in this paper, these three problems will be incorporated into an integrated model under demand uncertainty. This approach leads to the significant reduction of distribution costs, higher customer satisfaction, and also providing an efficient supply chain. Also in this study, in addition to minimizing the total cost including fixed cost of establishing depots, transportation costs and inventory costs, the customers’ satisfaction will increase by reducing their waiting time. So, a bi-objective mixed integer non-linear model is presented by using chance constrained programming, where customer demands are assumed to have a normal distribution. Then, to solve the model, a hybrid algorithm based on simulated annealing and genetic algorithm is proposed, and is evaluated on a set of instances. The computational results illustrate the algorithm efficiency to solve a wide range of problems with different sizes.
کلیدواژه‌ها
Facility location؛ Integrated supply chain؛ Inventory Control؛ Metaheuristic algorithms؛ Vehicle routing
عنوان مقاله [English]
ارائة یک الگوریتم ترکیبی برای حل مسئلۀ مکان‌یابی- مسیریابی- موجودی دوهدفه در زنجیرۀ تأمین با فرض وجود تقاضای تصادفی
نویسندگان [English]
ابراهیم تیموری1؛ فاطمه ابوترابیان2؛ محمدحسین بابایی1
1دانشیار دانشکدة صنایع، دانشگاه علم و صنعت ایران
2دانشجوی دکتری دانشکدة صنایع، پردیس دانشکده‌های فنی، دانشگاه تهران
چکیده [English]
امروزه رقابت شدید در بازار جهانی، شرکت‌ها را وادار به طراحی و مدیریت بهتر زنجیره‌های تأمین و ایجاد مزیت‌های رقابتی کرده است. یکپارچگی تصمیم­ها، از عوامل بسیار مهمی است که به میزان زیادی موجب کاهش هزینه‌های زنجیره می­شود و به افزایش رضایت مشتری می‌انجامد. طراحی شبکة توزیع، براساس سه مسئلة عمده انجام گرفته است: تخصیص مکان، مسیریابی وسیلة نقلیه و کنترل موجودی. از آنجاکه نقش مؤثر کاهش هزینه‌های توزیع در ادامة حیات زنجیرة تأمین پوشیده نیست، در این مقاله، این سه مسئله در قالب یک مدل یکپارچه در شرایط عدم قطعیت تقاضا با یکدیگر ترکیب می­شوند. این روش، به کاهش هزینه‌های توزیع، افزایش رضایت مشتریان و درنهایت، ایجاد یک زنجیرة تأمین کارا منجر می­شود. همچنین در این پژوهش، علاوه­بر کمینه­کردن مجموع هزینه‌های ثابت ایجاد انبارها، هزینه‌های حمل‌ونقل و هزینه‌های موجودی، رضایت مشتریان اولویت‌دار نیز از طریق کاهش زمان انتظار افزایش می­یابد. به همین دلیل، یک مدل دوهدفة برنامه‌ریزی غیرخطی مختلط، با فرض پیروی عامل تصادفی (تقاضا) از توزیع شناخته‌شده (نرمال) با استفاده از برنامه‌ریزی شانس محدودیت­دار ارائه می‌شود. در ادامه برای حل مدل، یک الگوریتم حل ترکیبی بر پایۀ تبرید شبیه‌سازی‌شده و الگوریتم ژنتیک، ارائه و با استفاده از مجموعه‌ای از مسائل نمونه ارزیابی می­شود. نتایج محاسباتی، نشانگر کارایی آن برای طیف وسیعی از مسائل با اندازه‌های متفاوت است.
کلیدواژه‌ها [English]
الگوریتم‌های فراابتکاری, زنجیرة تأمین یکپارچه, کنترل موجودی, مسیریابی وسیلة نقلیه, مکان‌یابی تسهیلات
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آمار
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