IJPAM: Volume 105, No. 3 (2015)


G. Pérez Lechuga$^1$, C.A. Muñóz Ibáñez$^2$, F. Venegas Martınez$^3$
$^{1,2}$Universidad Autónoma del Estado de Hidalgo
Escuela Superior de Apan, MÉXICO
$^3$Escuela Superior de Economıa
Instituto Politécnico Nacional

Abstract. The Supply Chain (SC) describes the succession of suppliers, manufacturers, storage facilities, distributors and customers that allow products to be ordered, produced and delivered. Supply-Chain Management (SCM) is another aspect of Advanced Planning and Scheduling. It administers the flow of supplies, logistics, services and information through the supply-chain, from suppliers, manufacturers, sub-contractors, stores and distributors to customers and end-users. It involves business strategy, information flow and systems compatibility. Manufacturing is the activity consisting in to make a good with tools and/or machines by effecting chemical, mechanical, or physical transformation of materials, substances, or components, or by simulating natural processes, usually repeatedly and on a large scale with a division of labor. Due to the economic and strategic importance of knowing in advance the client's needs to develop the master production planning, we propose in this paper a mathematical model to link the activities of the supply chain with the development of the master plan of production using a mixed integer linear programming model with a stochastic approach. In our proposal we include a set of constrains tha represents the real necessities of the customers in markets of high density.

Received: October 17, 2015

AMS Subject Classification: 90B05, 90B36, 90C15

Key Words and Phrases: chain supply, supply-chain management, master scheduling production, manufacturing systems, stochastic optimization, integer programming

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DOI: 10.12732/ijpam.v105i3.15 How to cite this paper?

International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2015
Volume: 105
Issue: 3
Pages: 477 - 496

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