Integrated supply chain design models: a survey and future research directions
By Zuo-Jun Max Shen. 2007
306 citations recorded by the source corpus.
Optimization models, especially nonlinear optimization models, have been widely used to solve integrated supply chain design problems. In integrated supply chain design, the decision maker needs to take into consideration inventory costs and distribution costs when the number and locations of the facilities are determined. The objective is to minimize the total cost that includes location costs and inventory costs at the facilities, and distribution costs in the supply chain. We provide a survey of recent developments in this research area.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/99f531ed9c6b5a6d9cd1de9c00198a730b1fdb8f
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In Industrial and Manufacturing Engineering
In Management Information Systems
- Mir Saman Pishvaee
- S. A. Torabi
- Reza Zanjirani Farahani
- W. Dullaert
- Saman Hassanzadeh Amin
- Guoqing Zhang
- Dmitry A. Ivanov
In Organizational Behavior and Human Resource Management
Citations in the corpus
- A memetic algorithm for bi-objective integrated forward/reverse logistics network design (2010, background): “by taking tactical/ operational inventory levels into account when addressing strategic network design issues, can be referred to as ‘‘vertical integration’’ (see [9] for a comprehensive literature review).”
- A possibilistic programming approach for closed-loop supply chain network design under uncertainty (2010, background): “, [26]) consider the integration of decision making processes in strategic and tactical levels but ignoring the integration of forward and reverse supply chains design.”