Abstract
This study, presents three different mathematical models: Producer, Distributor and Coordination modelwhich negotiate with a Producer-Distributor system for producing and distributing ofagricultural products in Bangladesh. In this paper, we investigated supply chain network (SCN) are two distinct freelance supply organizations. SCN management has the difficulties for the disconnected and freelance economic people. Further, fast technological changes and high fight build SCN a lot of complicated. The problem of locating distribution centers (DCs) is one among the foremost necessary problems in design of SCN. Current study, SCN was modeled using a formulation in mixed integer linear programming (MILP) problem, in which the facilities are coordinated by mutually sharing information with each other between producer and wholesaler. We think, this research presents a real life coordination optimization problem. The formulated MILP model is solved by using a mathematical programming language (AMPL) and results obtained by appropriate solver MINOS.
Highlights
Chain Management is outlined because the coordination of the physical, logical and money flows management between the supply chain networks (SCN) Brandenburg et al [1], that final goal is to deliver the proper product, within the correct amount, at the proper time, for the proper client, aspiring to with efficiency answer client demand Wang et al.[2]
The SCN style and designing may be a complicated method Nickel et al.[3], though it's proved that associate economical SCN style and resource allocation over the network is crucial for a decent performance of the SCN Papageorgiou [4]
Apart from geographical boundaries, Hung et al [22] delineated the situation allocation with reconciliation needs among Distribution Centre (DC). They developed a bi-level programming model to attenuate the whole price of the distribution network, and balanced the work load of every distribution centers (DCs) for the delivery of product to its client, resolution the model by the genetic rule
Summary
Chain Management is outlined because the coordination of the physical, logical and money flows management between the supply chain networks (SCN) Brandenburg et al [1], that final goal is to deliver the proper product, within the correct amount, at the proper time, for the proper client, aspiring to with efficiency answer client demand Wang et al.[2]. Apart from geographical boundaries, Hung et al [22] delineated the situation allocation with reconciliation needs among Distribution Centre (DC) They developed a bi-level programming model to attenuate the whole price of the distribution network, and balanced the work load of every DC for the delivery of product to its client, resolution the model by the genetic rule. Jose et al [23] presented mixed integer linear programming to solve a capacitated vehicle routing drawback minimizing number of auto and move time They enforced the model to a true life drawback of a distribution company and solved it numerically. They obtained a possible answer to the developed model considering six delivery points with some characteristics They investigated the interaction between transport networks and provide chain networks.
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