Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
By Cheng-Liang Chen, Wen-Cheng Lee. Computers and Chemical Engineering, 2004
407 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/ac95a684e9b443d6c9c30870fc7aa3484e6ff08c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Mohammad Modarres
- Josefa Mula
- Amir Azaron
- Kenneth N. Brown
- David Peidro
- Ş. Tarim
- Wei-Chang Yeh
- Mei-Chi Chuang
In Strategy and Management
- Manuel Díaz-Madroñero
- Eduardo Vicens
- Mohammad Modarres
- Josefa Mula
- Amir Azaron
- Kenneth N. Brown
- Turan Paksoy
- David Peidro
Citations in the corpus
- A multi-objective stochastic programming approach for supply chain design considering risk (2008, methodology): “To the best of our knowledge, only e constraint method (Guillen et al., 2005) and fuzzy optimization (Chen and Lee, 2004) have been used to solve multi-objective SC design models.”
- A genetic algorithm approach for multi-objective optimization of supply chain networks (2006, background): “Chen and Lee (2004) developed a multi-product, multi-stage, and multi-period scheduling model for a multi-stage SCN with uncertain demands and product prices.”
- Mathematical programming models for supply chain production and transport planning (2010, background): “Specifically, five (Chen et al., 2003; Chen and Lee, 2004; Aliev et al., 2007; Selim et al., 2008; Torabi and Hassini, 2008) establish maximization of the level of service as their objective function, while one reference (Liang and Cheng, 2008) sets minimization of backorders as the purpose of its m”