Planning and coordination of production and distribution facilities for multiple commodities
By V. Jayaraman, H. Pirkul. European Journal of Operational Research, 2001
396 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/27ee45fadcdf8eea16110e99ab0bf75a86af1bb6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Reza Zanjirani Farahani
- Mir Saman Pishvaee
- W. Dullaert
- Turan Paksoy
- Lin Lin
- Fulya Altıparmak
- Manuel Díaz-Madroñero
- Eduardo Vicens
In Management Information Systems
- Mir Saman Pishvaee
- Reza Zanjirani Farahani
- Manuel Díaz-Madroñero
- Eduardo Vicens
- Josefa Mula
- W. Dullaert
- Zuo-Jun Max Shen
- David Peidro
Citations in the corpus
- A multi-commodity supply chain design problem (2005, background): “Their work was later extended by Moon (1989) , Pirkul and Jayaraman (1996, 1998), and Jayaraman and Pirkul (2001) .”
- Facility location and supply chain management - A review (2009, neutral): “Multiple commodities [5,50,51,55,60,95,121] [43] [45,46,120,133]”
- Mathematical programming models for supply chain production and transport planning (2010, methodology): “Furthermore, another group of four references emerges (Dogan and Goetschalckx, 1999; Jayaraman and Pirkul, 2001; Goetschalckx et al., 2002; Jang et al., 2002) which simultaneously consider aspects related to the strategical and tactical levels.”
- A genetic algorithm approach for multi-objective optimization of supply chain networks (2006, background): “For example, Jayaraman and Pirkul (2001), Jayaraman and Ross (2003), Yan, Yu, and Cheng (2003), Syam (2002), Syarif, Yun, and Gen (2002), Amiri (2006), Gen and Syarif (2005), and Truong and Azadivar (2005) had considered total cost of supply chain as an objective function in their studies.”
- A memetic algorithm for bi-objective integrated forward/reverse logistics network design (2010, background): “SC, PC*, DisC* Ca, D, UCF, MP, En, SPr MILP L, TA C, Ro Exact (small sizes) Jayaraman and Pirkul [25] SC, PC*, DisC* Ca, D, UCF, MP, En, SPr MILP L, TA C LR-based heuristic Dasci and Verter [17] PC* UC, D, UCF, SP, En, SPr CA L, SR C Exact (continuous) Syarif et al. [26] SC, PC*, DisC* Ca, D, UCF, S”