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Hassan pour, Hossein Ali, jabale, morteza. (1397). Design a Supply Chain Network based on Lean, agile and pivotal values and solving by multi objective metaheuristic algorithms. , 52(3), 349-366. doi: 10.22059/jieng.2019.255368.1563
Hossein Ali Hassan pour; morteza jabale. "Design a Supply Chain Network based on Lean, agile and pivotal values and solving by multi objective metaheuristic algorithms". , 52, 3, 1397, 349-366. doi: 10.22059/jieng.2019.255368.1563
Hassan pour, Hossein Ali, jabale, morteza. (1397). 'Design a Supply Chain Network based on Lean, agile and pivotal values and solving by multi objective metaheuristic algorithms', , 52(3), pp. 349-366. doi: 10.22059/jieng.2019.255368.1563
Hassan pour, Hossein Ali, jabale, morteza. Design a Supply Chain Network based on Lean, agile and pivotal values and solving by multi objective metaheuristic algorithms. , 1397; 52(3): 349-366. doi: 10.22059/jieng.2019.255368.1563

Design a Supply Chain Network based on Lean, agile and pivotal values and solving by multi objective metaheuristic algorithms

Advances in Industrial Engineering
مقاله 4، دوره 52، شماره 3، دی 2018، صفحه 349-366    اصل مقاله (1.44 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2019.255368.1563
نویسندگان
Hossein Ali Hassan pour* 1؛ morteza jabale2
1Department of Industrial Engineering and Logistics, Faculty of Engineering, Imam Hossein Comprehensive University, Tehran, Iran
2Industrial Engineering Group, Imam Hossein University, Tehran, Iran
چکیده
In this research, a three objective (lean, agile, pivotal values) nonlinear integer programming mathematical model is proposed to optimize general commodities supply chain in this model, all parameters for objective functions and restrictions are assumed to have fixed and known values. Proposed model have three objective functions including: minimizing transportation costs, delivery tardiness and making contracts. Maximizing agility and pivotal values. Intended model designs a lean, agile and value supply chain network. This network consists of Producers, Distributers and Customers that which indexes and criteria values and agility is assumed for producers and distributers. To solve the model, first suitable weights for agility and observance the value for producers and distributers are examined using multi-criteria decision making. These weights and other problem parameters are input data for proposed mathematical model. Proposed mathematical model is solved in a case-study form using GAMS program. Then two multi objective meta heuristic algorithms including genetic algorithm and Frog leaping algorithm using non dominated sorting is proposed and Meta heuristic algorithms and GAMS`s results are Compared to Validate proposed algorithms. Results of two algorithms NSGA-II and NSMOSFLA for comparing criteria`s of multi objective algorithms are Analyzed.
کلیدواژه‌ها
Lean Supply Chain- Agile- Value؛ Nonlinear integer mathematical model؛ NSGA-II؛ NSMOSFLA
عنوان مقاله [English]
طراحی شبکۀ زنجیرۀ تأمین ناب- چابک و ارزشی و حل آن با الگوریتم‌های فراابتکاری چندهدفه
نویسندگان [English]
حسینعلی حسن‌پور1؛ مرتضی جبله2
1استادیار گروه مهندسی صنایع، دانشگاه جامع امام حسین (ع)، تهران
2کارشناس ارشد مهندسی لجستیک و زنجیرة تأمین، دانشگاه جامع امام حسین (ع)، تهران
چکیده [English]
در این پژوهش، مدل برنامه‌ریزی عدد صحیح غیرخطی سه‌هدفه (ناب- چابک و ارزش‌های محوری) به‌منظور بهینه‌سازی زنجیرة تأمین اقلام عمومی ارائه شده و در آن همة پارامترهای توابع هدف و محدودیت‌ها به‌صورت قطعی مدنظر قرار گرفته است. مدل ارائه‌شده سه هدف کمینه‌کردن هزینه‌های حمل‌ونقل، زمان تأخیر در تحویل و عقد و فسخ قرارداد و بیشینه‌کردن میزان چابکی و ارزش‌های محوری را شامل می‌شود. در این مدل به طراحی شبکة زنجیره تأمین ناب، چابک و ارزشی پرداخته می‌شود. این شبکه شامل تولیدکنندگان، توزیع‌کنندگان و مشتریان است که در آن شاخص‌ها و معیارهای ارزشی و چابکی برای تولیدکنندگان و توزیع‌کنندگان درنظر گرفته شده است. روش حل بدین‌گونه است که ابتدا اوزان مناسب چابکی و رعایت ارزش‌ها برای تولیدکنندگان و توزیع‌کنندگان به روش تصمیم‌گیری چندمعیاره به‌دست می‌آید، سپس این اوزان با سایر پارامترهای مسئله، به‌عنوان ورودی مدل ریاضی پیشنهادی مدنظر قرار می‌گیرند. مدل ریاضی ارائه‌شده در قالب مطالعة موردی با استفاده از نرم‌افزار GAMS حل شده و سپس دو الگوریتم فراابتکاری چندهدفه شامل الگوریتم ژنتیک و پرش قورباغه با مرتب‌سازی نامغلوب ارائه شده است. به‌منظور اعتبارسنجی نیز نتایج این الگوریتم‌ها با نتایج حل دقیق، مقایسه شده است. همچنین نتایج دو الگوریتم NSGA-II و NSMOSFLA به‌ازای معیارهای مقایسه‌ای الگوریتم‌های چندهدفه تحلیل شده است.
کلیدواژه‌ها [English]
الگوریتم پرش قورباغة چندهدفه, الگوریتم ژنتیک چندهدفه, زنجیرة تأمین ناب- چابک و ارزشی, مدل عدد صحیح غیرخطی
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