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...

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,...

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...

Purpose – The purpose of this paper is to explore different aggregate production planning (APP) strategies (inventory levelling, validation of the workforce and flexible production alternatives: overtime and/or outsourcing) by using a system dynamics model in a two-level, multi-product,...

Purpose – This paper seeks to provide a social network‐based model for improving knowledge management in multi‐level supply chains formed by small and medium‐sized enterprises (SMEs). Design/methodology/approach – This approach uses social network analysis techniques to propose and...

Purpose – This paper aims to provide a social network‐based model for improving knowledge management in multi‐level supply chains formed by small and medium‐sized enterprises (SMEs). Design/methodology/approach – This approach uses social network analysis techniques to propose and...