Open AccessMathematical Model for Centralized Supply Chains with Decisions Involving Shared Resources
Author(s) -
Carlos Franco,
Diana C. Guzmán-Cortés,
Juan Carlos Figueroa García
Publication year - 2020
Publication title -
ingeniería
Language(s) - English
Resource type - Journals
eISSN - 2344-8393
pISSN - 0121-750X
DOI - 10.14483/23448393.16921
Subject(s) - supply chain , computer science , operations research , context (archaeology) , supply chain management , service management , business , economic shortage , operations management , risk analysis (engineering) , marketing , economics , paleontology , linguistics , philosophy , government (linguistics) , engineering , biology
Context: Cooperation in supply chain management is an important issue considering the global performance of the different echelons of a specific supply chain. In this sense, applying logistic strategies such as VMI (Vendor Managed Inventory) allows a system to manage distribution processes from a central point or depot. Additionally, the components of the chain work more closely with it, which allows increasing global performance, instead of individually developing each sector.Method: A stochastic mathematical model is proposed which considers a network of customers, where products are delivered from a central depot. These customers can share part of their product with the central depot for redistribution, aiming to minimize shortage for other customers. A mathematical model is proposed which includes the elements involved in distribution processes. It is then reformulated to consider shortage and the linearization of some of its elements.Results: Results show that implementing or adapting logistic strategies, such as managing from a central point and sharing resources along the supply chain, allows companies to reduce the complexity of some decisions and improve performance.Conclusions: Implementing logistic strategies such as centralized management and sharing resources along a supply network allows companies to reduce the complexity of some decisions and, in turn, improve their performance.