24 فروردین 1403
غلامرضا جمالي

غلامرضا جمالی

مرتبه علمی: دانشیار
نشانی: دانشکده کسب و کار و اقتصاد - گروه مدیریت صنعتی
تحصیلات: دکترای تخصصی / مدیریت صنعتی، گرایش تولید و عملیات- دانشگاه تهران
تلفن: 31222123
دانشکده: دانشکده کسب و کار و اقتصاد

مشخصات پژوهش

عنوان Developing an Agility Model Focusing on Delivering Products to the Customers in the Supply Chain of Perishable Goods
نوع پژوهش مقالات در نشریات
کلیدواژه‌ها
Agility Model, Supply Chain, Perishable Goods
مجله International Journal of Management, Accounting and Economics
شناسه DOI doi.org/10.5281/zenodo.7683076 Abstract
پژوهشگران محسن تبادار (نفر اول) ، غلامرضا جمالی (نفر دوم) ، حجت پارسا (نفر سوم) ، مسلم علیمحمدلو (نفر چهارم)

چکیده

The producer can warehouse the perishable items and reuse them in the production line by creating an appropriate cooperation relationship and sharing information related to demand and stocks in order to provide the field to save money, reduce the environmental population, and use natural resources less. Therefore, it is also necessary to use the concept of the supply chain of perishable items in the supply chain. In this study a new approach will be provided to develop the agility of the supply chain to establish an integrated and agile supply chain to create an informational and operational linking bridge between different sections of the supply chain. Hence, a multi-objective mathematical model will be presented considering the maximization of the level of agility, the minimization of the perishing of goods, minimization of the time of distributing goods by systemizing the retail distribution system and since the agile supply chain model is considered as difficult problems, Epsilon- Constraint method and Benders Exact Solution method will be used to develop this research. Benders method is a decomposition algorithm that creates smaller sections of agility in solving the model by decomposing the mathematical model. First, the model is evaluated, and a problem is designed to assess the performance of the proposed model, and it is solved by using GAMS and CPLEX solver. Then the validity of the provided model is analyzed by the approach of the meta-heuristic algorithm Moka.