Optimization of Distribution Network of Supply Chain Component: A Case Study

Authors

  • Shilpa saini Department of Industrial Engineering and Management, School of Engineering, Gautam Buddha University, Greater Noida, U.P.-201310.
  • Dr brijesh triphathi Department of Industrial Engineering and Management, School of Engineering, Gautam Buddha University, Greater Noida, U.P.-201310.

Keywords:

Distribution network, Supply chain, Matlab.

Abstract

It is an optimization technique to locate new warehouses within by minimizing the cost and time during the product service network and should satisfy the needs and demand of the customers in supply chains. It also provide the efficient and effective methods of optimization in large distribution service network by using MATLAB software in which we allocate the problems of a service network with a graph representation of a selected warehouse locations are proved to provide competitive solutions to the given distributed problems with lesser transportation cost and time. In this article a model is based on real data by using GPS locations with its x, y coordinates for the location problems denoted algorithm of the problem by (R1, R2, R3…..R20) is presented. New Agents are allocated as regional warehouses denoted by the (R1, R2, R3….R10) and central warehouse of the cities with randomly located demand in particular selected area; optimization technique are applied to the distribution-service network of a selected area and the allocate the new optimized regional warehouse locations. Proposed model can be implemented to in case of manufacturing sector, food industry, pharmaceutical services network etc.

References

1. Afshari H, McLeod RD, Elmekkawy T et al. Distribution-service network design: an agentbased approach. Procedia CIRP 2014; 17: 651- 56.
2. Ashtab S, Carron RJ, Selvarajah E. A Binary Quadratic Optimization Model for Three Level Supply Chain Design. Procedia CIRP 2014; 17: 635-38.
3. Belvárdi G, Király A, Varga T et al. Monte Carlo Simulation Based Performance Analysis of Supply Chains. International Journal of Managing Value and Supply Chains Jun 2012; 3(2).
4. Chopra S, Meindl P. Supply chain management. Prentice Hall, 2012.
5. Priyan S, Uthayakumar R. Optimal inventory management strategies for pharmaceutical company and hospital supply chain in a fuzzystochastic environment. Operations Research for Health Care 2014; 3(4): 177-90.
6. Olivares-Benitez E, Rios-Mercado RZ, Gonzalez-Velarde JL. A metaheuristic algorithm to solve the selection of transportation channels in supply chain design. International Journal of Production Economics 2013; 145(1): 161-72.
7. Simchi-Levi D, Kaminsky P, Simchi-Levi E. Designing and Managing the Supply Chain. McGraw-Hill/Irwin, 1999.

Published

2019-01-07

Issue

Vol. 2 No. 2 (2015): Journal of Advanced Research in Production and Industrial Engineering

Section

Articles