Solving the Car Sequencing Problem with Considering Unexpected Supply Disturbances
This paper treats the car sequencing problem in final assembly line considering the unexpected occurrence of parts supply disturbance. In this regard, a basic integer linear programming model is developed using GAMS software and based on that, problem solving algorithm according to a reactive approach with considering supply disturbance occurrence is presented. Considering NP-hardness of the problem, a metaheuristic approach based on variable neighborhood search algorithm has been presented. For evaluating the proposed method, sample problems in CSPLib have been used and for simulating the supply disturbance occurrence, test problems in 3 sizes of small, medium and large have been designed. The obtained results show the high performance of proposed algorithm with respect to the best existing solution in all three categories of the problem.
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Designing a Dynamic and Sustainable Cellular Manufacturing System by Considering the Amount of Energy Consumption and Manpower in Production Planning
Nader Ghanei, Gholam Reza Esmaeilian *, Amir Saman Kheirkhah
Journal of Modeling in Engineering, -
Investigating the Impact of Blockchain Technology Adoption on Integration and Economic Sustainability of the Automotive Supply Chain: a Bayesian Structural Equation Modeling Approach
, Sedigheh Rezaiyan Fardoie, Mansoureh Hourali, Ebrahim Farbod*
Transactions on Quantitative Finance and Beyond, Winter and Spring 2024