A Propose Model Optimal Supply Chain Distribution Network for Farmer Industrial

Authors

  • Ammar Salamh Mujali Al-Rawahna Southern Taiwan University of Science and Technology, Taiwan
  • Anas Yahya Bader Al Hadid Amman Arab University, Jordan

DOI:

https://doi.org/10.47738/ijiis.v3i2.62

Keywords:

Optimization, Mixed Integer Programming, Linier Programming, Distribution Network, Supply Chain Management

Abstract

A supply chain should be operated in the most efficient way in a highly competitive environment, with the goals of cost minimization, shipment delays, inventories and expenditures, and distribution maximization, gain, return on investment, level of customer support, and efficiency. The development of supply-chain distribution networks is therefore an extremely complex task, due to the large physical production and distribution network flows, the uncertainties associated with external interface customers and suppliers as well as the non-linear dynamics linked to internal information flows. This study aims to address a problem in domestic distribution in a supply chain system that includes manufacturers, distribution centers and consumer zones to determine the optimum configuration of the network. We propose a mixed integer linear programming model to solve the problem.

References

B. C. Arntzen, G. G. Brown, T. P. Harrison, and L. L. Trafton, “Global Supply Chain Management at Digital Equipment Corporation,” Interfaces (Providence)., vol. 25, no. 1, pp. 69–93, 1995, doi: 10.1287/inte.25.1.69.

B. Bilgen, “Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem,” Expert Syst. Appl., vol. 37, no. 6, pp. 4488–4495, 2010, doi: 10.1016/j.eswa.2009.12.062.

G. G. Brown, G. W. Graves, and M. D. Honczarenko, “Design and Operation of a Multicommodity Production/Distribution System Using Primal Goal Decomposition.,” Manage. Sci., vol. 33, no. 1, pp. 1469–1480, 1987, doi: 10.1287/mnsc.33.11.1469.

P. Chopra, Sunil,. Meindle, “Supply Chain Mangement Strategy , Planning, and Operation,” J. Chem. Inf. Model., pp. 1–14, 2001, doi: 10.1017/CBO9781107415324.004.

A. M. Geoffrion and G. W. Graves, “Multicommodity Distribution System Design,” no. August 2010, 2010, doi: 10.1007/978-1-4419-6810-4.

Geoffrion, A. M., & Van Roy, T. J. (1979). Caution: Common Sense Planning Methods Can Be Hazardous to Your Corporate Health. Sloan Management Review, 20(4), 31-42.

A. Pires, G. Putnik, and P. Ávila, “A survey analysis of the resource selection models in Agile/Virtual Enterprises,” J. Appl. Res. Technol., vol. 10, no. 3, pp. 416–427, 2012, doi: 10.22201/icat.16656423.2012.10.3.399.

H. Pirkul and V. Jayaraman, “a Multi-Commodity , Multi-Plant , Capacitated Facility Location Problem : Formulation and,” Comput. Oper. Res., vol. 25, no. 10, pp. 869–878, 1998.

Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E, “Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies.” McGraw-Hill. 2003.

P. Tsiakis and L. G. Papageorgiou, “Optimal production allocation and distribution supply chain networks,” Int. J. Prod. Econ., vol. 111, no. 2, pp. 468–483, 2008, doi: 10.1016/j.ijpe.2007.02.035.

P. Tsiakis and N. Shah, “Design of Multi-echelon Supply Chain Networks under Demand Uncertainty Design of Multi-echelon Supply Chain Networks under Demand,” Ind. Eng. Chem. Res., no. JULY 2001, pp. 3585–3604, 2016, doi: 10.1021/ie0100030.

T. Hariguna, H. T. Sukmana, and J. Il Kim, “Survey oponion using Sentiment Analysis,” J. Appl. Data Sci., vol. 1, no. 1, pp. 35–40, 2020.

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Published

2020-09-30

Issue

Vol. 3 No. 2: September 2020

Section

Articles

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