Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms
By Marc Goetschalckx, Carlos J. Vidal, Koray Dogan. European Journal of Operational Research, 2002
541 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/7356aee3b06d588dbf978d900183ebfac8f9cde1
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
- Alain Martel
- Josefa Mula
- Adel Guitouni
- Walid Klibi
- Shih-Pin Chen
- P. Chang
- Mary J. Meixell
- David Peidro
In Management Information Systems
- Alain Martel
- Adel Guitouni
- Walid Klibi
- Stephan M. Wagner
- Christoph Bode
- Francisco Saldanha-da-Gama
- Manuel Díaz-Madroñero
- Eduardo Vicens
In Strategy and Management
- Adel Guitouni
- Walid Klibi
- Alain Martel
- Stephan M. Wagner
- Christoph Bode
- Stefan Nickel
- Francisco Saldanha-da-Gama
- Manuel Díaz-Madroñero
Citations in the corpus
- Supply chain risk, simulation, and vendor selection (2008, background): “Most researchers (Cohen and Lee, 1988; Lee and Billington, 1993; Thomas and Griffin, 1996; Graves and Willems, 2000; Goetschalckx et al., 2002; Chan, 2003; Chen and Paulraj, 2004) propose deriving probability distribution from historical data and model the SC uncertainty (e.”
- Application of planning models in the agri-food supply chain: A review (2009, background): “Researchers in manufacturing supply chains are currently developing models for designing supply chain networks for local and international markets (Goetschalckx et al., 2002; Meixell and Gargeya, 2005), coordinating the activities of companies in the supply chain (Sarmiento and Nagi, 1999; Thomas an”
- 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.”
- Facility location and supply chain management - A review (2009, background): “However, optimality can only be guaranteed with full integration (see [32,41]).”
- An empirical investigation into supply chain vulnerability (2006, background): “In addition, complicating factors that have to be tackled are longer lead-times due to long routes of transportation, reliance on critical infrastructures (ports, communication systems), taxes, duties, and fluctuations of exchange rates (Goetschalckx et al., 2002).”
- A mathematical programming approach to supply chain models with fuzzy parameters (2006, background): “…al. 2004), and much effort has been expended in developing decision models for SCM (Cohen and Lee 1988, 1989, Cohen and Moon 1990, 1991, Thomas and Griffin 1996, Vidal and Goetschalckx 1997, Beamon 1998, Lakhal et al. 2001, Nozick and Turnquist 2001, Goetschalckx et al. 2002, *Corresponding author.”
- Global supply chain design: A literature review and critique (2005, methodology): “Gutierrez and Kouvelis (1995) structured this international sourcing model using a min-max formulation so as to identify a supply network that is robust to changes in exchange rates.”
- The design of robust value-creating supply chain networks (2010, background): “Finally, several authors have proposed extensions to maximize residual cash flows in an international context (Cohen et al., 1989; Arntzen et al., 1995; Vidal and Goetschalckx, 2001; Goetschalckx et al., 2002; Bhutta, 2004; Kouvelis et al., 2004; Martel, 2005; Meixell et al., 2005).”