Multi-objective design an agile and value supply chain with multi-objective genetic algorithm approach
Author(s):
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
A product when at the number of appropriate and timely delivered to the customer at the appropriate time is worth. Today, companies and people are facing the challenges of agility and pivotal values that the use of both approaches and combine them there is no in analytic model of the supply chain and the previous literature. In this paper, a study based on linear integer modeling in the field of supply chain network design has been done to address this gap research. Supply chain proposed in three levels of manufacturers, distributors and customers is proposed for multi-objective, multi-product and multi-period. The objective functions is including: Maximizing agility and pivotal values. To solve the Mathematical model is used from GAMS program. Then multi-objective genetic algorithm using non-dominated sorting members of the population proposed and Meta heuristic algorithm and GAMS`s results are Compared to Validate proposed algorithm. In the End, results are analyzed.
Keywords:
Language:
Persian
Published:
Journal of Development Evolution Management, Volume:9 Issue: 31, 2018
Pages:
85 to 93
https://www.magiran.com/p2115754
سامانه نویسندگان
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شدهاست. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
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