Applying Genetic Algorithm for An integrated Supply and Production/Distribution Planning in assembly systems

Sabet Motlagh, Mohammad; Mohaghar, Ali

doi:10.22059/imj.2016.60654

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	Applying Genetic Algorithm for An integrated Supply and Production/Distribution Planning in assembly systems
Industrial Management Journal
مقاله 3، دوره 8، شماره 2، مهر 2016، صفحه 163-190 اصل مقاله (912.82 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/imj.2016.60654
نویسندگان
Mohammad Sabet Motlagh^* ¹؛ Ali Mohaghar²
¹PhD Candidate, Faculty of Management and Accounting, Allameh Tabatabaee University, Tehran, Iran
²Prof. Industrial Management, Tehran University, Tehran, Iran
چکیده
Abstract: An efficient supply chain system operates under a strategy to minimize costs by integrating the different functions inside the system and by meeting customer demands in time. In this paper, an integrated supply-production and distribution planning (SPDP) is considered despite the fact that in most of the Papers, Part of the supply chain has been studied, not all parts. Therefore, we develop a mathematical model that calculate the optimal inventory lot sizing for each supplier and minimize the total cost associated in the process of procuring raw material, transferring and holding raw materials, manufacturing and, finally, delivering the finished product. The problem is formulated as a pure integer programming and heuristic genetic algorithm (GA) method applied to solve it. Then we test the proposed model in a case study conducted in Iran. Experimental results show that such a model can reduce the costs of the case study by 8/4694%.
کلیدواژه‌ها
Genetic Algorithm؛ Inventory management؛ Mathematical modeling؛ pure integer programming؛ Supply Chain Management
عنوان مقاله [English]
به‎کارگیری الگوریتم ژنتیک برای برنامه‌ریزی تأمین، تولید و توزیع یکپارچۀ سیستم‌های مونتاژ
نویسندگان [English]
محمد ثابت مطلق¹؛ علی محقر²
¹دانشجوی دکتری مدیریت تولید و عملیات، دانشکدۀ مدیریت و حسابداری، دانشگاه علامه طباطبائی، تهران، ایران
²استاد گروه مدیریت صنعتی، دانشکدۀ مدیریت دانشگاه تهران، تهران، ایران
چکیده [English]
با وجود این حقیقت که در بیشتر پژوهشها، تنها بخشی از زنجیرۀ تأمین مطالعه شده است؛ در این مطالعه تلاش می‎شود به بررسی برنامه‎ریزی‎ای برای تأمین، تولید و توزیع یکپارچه پرداخته ‎شود. بنابراین پژوهش پیش رو، نوعی مدل ریاضی را به‎منظور مدیریت موجودی برای سطوح زنجیرۀ تأمین توسعه داده است؛ به‎گونهای که سیاست سفارشدهی مناسب را برای سطوح تأمین، تولید و توزیع زنجیره مشخص کند و همچنین هزینههای مرتبط با آن را به کمترین حد برساند. مسئلۀ این مطالعه به‎عنوان برنامهریزی عدد صحیح محض فرموله می‎شود و برای حل آن روش الگوریتم ابتکاری ژنتیک به‎کار می‎رود؛ سپس مدل ساخته‎شده در نمونۀ واقعی استفاده می‎شود. نتایج تجربی به‎دست‎آمده نشان میدهد به‎کارگیری این مدل میتواند هزینههای موجودی شرکت نمونه را تا حد 4694/8 درصد کاهش دهد
کلیدواژه‌ها [English]
الگوریتم ژنتیک, برنامه‎ریزی عدد صحیح محض, مدل‎سازی ریاضی, مدیریت زنجیرۀ تأمین, مدیریت موجودی

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اخبار و اعلانات

آمار

Applying Genetic Algorithm for An integrated Supply and Production/Distribution Planning in assembly systems

· Farsijani, H, & Abdoos, M.R. (2011). Using the Fuzzy Models for Ordering System in Inventory Control. Journal of industrial management, 3(6): 99-112.
(in Persian)

· Hooshmandi Maher, M., Amiri, M. & Olfat, L. (2014). A mathemathical model for supplier selection and order allocation in a supply chain considering uncertainty in design variables- for print. Journal of industrial management, 6(1): 151-180. (in Persian)

پیوندهای مفید

پیوندهای مفید

اخبار و اعلانات

آمار

Applying Genetic Algorithm for An integrated Supply and Production/Distribution Planning in assembly systems

· Farsijani, H, & Abdoos, M.R. (2011). Using the Fuzzy Models for Ordering System in Inventory Control. Journal of industrial management, 3(6): 99-112. (in Persian)

· Hooshmandi Maher, M., Amiri, M. & Olfat, L. (2014). A mathemathical model for supplier selection and order allocation in a supply chain considering uncertainty in design variables- for print. Journal of industrial management, 6(1): 151-180. (in Persian)

· Farsijani, H, & Abdoos, M.R. (2011). Using the Fuzzy Models for Ordering System in Inventory Control. Journal of industrial management, 3(6): 99-112.
(in Persian)