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A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modeled by...
Persistent link: https://www.econbiz.de/10008505637
In the supply chains operations planning context, and from a research viewpoint, it has been mainly assumed that different supply chain members make decisions in a centralised manner (one decision centre). However, reality shows that this is not the most usual situation, rather distributed...
Persistent link: https://www.econbiz.de/10011140179
The aim of the research described in this paper is to evaluate the relationship between the service capabilities and performance of UK and Taiwanese third-party logistics (3PL) providers. A study is presented based on a recent survey. The results identify the most important services offered by...
Persistent link: https://www.econbiz.de/10009202258
Jiménez et al. (2007) propose a method for solving linear programming problems with fuzzy coefficients by using a fuzzy ranking method to rank the fuzzy objective values and to deal with the inequality relation on constraints with decision variables considered to be real numbers. Here, we...
Persistent link: https://www.econbiz.de/10011264796
This paper models supply chain (SC) uncertainties by fuzzy sets and develops a fuzzy linear programming model for tactical supply chain planning in a multi-echelon, multi-product, multi-level, multi-period supply chain network. In this approach, the demand, process and supply uncertainties are...
Persistent link: https://www.econbiz.de/10008551201
This paper presents a review of mathematical programming models for supply chain production and transport planning. The purpose of this review is to identify current and future research in this field and to propose a taxonomy framework based on the following elements: supply chain structure,...
Persistent link: https://www.econbiz.de/10008551227
The main focus of this work is to prove the effectiveness of a fuzzy mathematical programming approach to model a supply chain production planning problem with uncertainty in demand. A fuzzy optimization model that takes into account the lack of knowledge in market demand is developed. This work...
Persistent link: https://www.econbiz.de/10008869534
En este trabajo se presenta un modelo de programación matemática fuzzy multiobjetivo para la planificación del transporte a nivel operativo en una cadena de suministro. Los objetivos del modelo propuesto son la minimización del número de camiones utilizados y del inventario total,...
Persistent link: https://www.econbiz.de/10008599413