Coordinating the Supply Chain Network and Optimization Models of Agricultural Products in Bangladesh

Main Article Content

Mohammad Khairul Islam
Md. Mahmud Alam
Mohammed Forhad Uddin

Abstract

In this research introduces four different mathematical designs for the coordination and three-stage profit optimization models of agricultural products in Bangladesh. This research, we occupied that the three types of market players are coordinated by mutually sharing all kind of information related to their business. To enrich a Mixed Integer Linear Programming (MILP) model and explore the circumstance of production receptivity is inadequate for the manufacturer. The manufacturers will coverage these deficits by external sources, which decided very beginning of the business contract. This is very significant foreword in deciding so as to alleviate these challenges and to enlarge the method representation and distinct benefit of the Supply Chain Network (SCN). The coordinated system in alliance with the market players has been projected to realize the best result. The formulated MILP models optimize the maximum profit and also to optimize the best production distribution center which satisfy most of the customer demand. This paper, the formulated MILP model were solved by a mathematical programming language (AMPL) and we get the results by using appropriate solver MINOS. Analyzed a numerical example for some important parameters has been deployed to validate our proposed models. We get the results after coordination the individual profits could be increased, in the same time end user cost price decrease.

Keywords:
Supply chain network, optimization, mixed integer linear program, coordination, agricultural products.

Article Details

How to Cite
Islam, M. K., Alam, M. M., & Uddin, M. F. (2020). Coordinating the Supply Chain Network and Optimization Models of Agricultural Products in Bangladesh. Journal of Advances in Mathematics and Computer Science, 35(9), 57-72. https://doi.org/10.9734/jamcs/2020/v35i930322
Section
Original Research Article

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