Optimal Production Planning in Aromatic Coconuts Supply Chain Based On Mixed-Integer Linear Programming
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Optimal Production Planning in Aromatic Coconuts Supply Chain Based On Mixed-Integer Linear Programming

Authors: Chaimongkol Limpianchob

Abstract:

This work addresses the problem of production planning that arises in the production of aromatic coconuts from Samudsakhorn province in Thailand. The planning involves the forwarding of aromatic coconuts from the harvest areas to the factory, which is classified into two groups; self-owned areas and contracted areas, the decisions of aromatic coconuts flow in the plant, and addressing a question of which warehouse will be in use. The problem is formulated as a mixed-integer linear programming model within supply chain management framework. The objective function seeks to minimize the total cost including the harvesting, labor and inventory costs. Constraints on the system include the production activities in the company and demand requirements. Numerical results are presented to demonstrate the feasibility of coconuts supply chain model compared with base case.

Keywords: Aromatic coconut, supply chain management, production planning, mixed-integer linear programming.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092808

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2692

References:


[1] Ministry of Agriculture and Cooperatives, "Aromatic coconut,” Bangkok, 2008.
[2] O. Ahumada, and J.R. Villalobos, "Application of planning models in the agri-food supply chain: A review,” European Journal of Operational Research, vol. 195, pp. 1-20, 2009.
[3] H. Gunnarsson, M. Ronnqvist, and J.T. Lundgren, "Supply chain modeling of forest fuel,” European Journal of Operational Research, vol. 158, pp. 103-123, 2004.
[4] H. Stadtler, and C. Kilger, "Supply chain management and Advanced planning,” Springer-Verlag: Berlin, 2000.
[5] J.J. Troncoso, and R.A. Garrido, "Forestry production and logistics planning: an analysis using mixed-integer programming,” Forest policy and economics, vol. 7, pp. 625-633, 2005.
[6] R. Pastor, J. Altimiras, and M. Mateo, "Planning production using mathematical programming: The case of a woodturning company,” Computers & Operations research, vol. 36, pp. 2173-2178, 2009.
[7] A.M. Blanco, G. Masini, N. Petracci, and J.A. Bandoni, "Operational management of a packaging plant in the fruit industry,” Journal of food engineering, vol. 70, pp. 299-307, 2005.
[8] B. Bligen, and I. Ozkarahan, "A mixed-integer linear programming model for bulk grain blending and shipping,” International journal of production economics, vol. 107, pp. 555-571, 2007.
[9] R.K. Apaiah, and E.X.T. Hendrix, "Design of supply chain network for a pea-based novel protein foods,” Journal of food engineering, vol. 70, pp. 383-391, 2005.
[10] R. Fourer, D.M. Gay, and B.W. Kernighan, "AMPL A Modeling Language for Mathematical Programming (2nd ed.),” United States: TnomsonLeatning, 2003.
[11] http://www.ilog.com.