2002
DOI: 10.1016/s0925-5273(02)00260-8
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A two-stage model for the design of supply chain networks

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Cited by 115 publications
(29 citation statements)
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“…One of the main approaches is mathematical programming in which the problem is formulated as a Mixed Integer Programming (MIP) model. Cakravastia et al [14] used a MIP model for supplier selection in a multi-stage supply chain design problem. One of the most important advantages of using MIP model is its ability in nding the exact optimal solution.…”
Section: Literature Reviewmentioning
confidence: 99%
“…One of the main approaches is mathematical programming in which the problem is formulated as a Mixed Integer Programming (MIP) model. Cakravastia et al [14] used a MIP model for supplier selection in a multi-stage supply chain design problem. One of the most important advantages of using MIP model is its ability in nding the exact optimal solution.…”
Section: Literature Reviewmentioning
confidence: 99%
“…One of the main approaches is mathematical programming in which the problem is formulated as a Mixed Integer Programming (MIP) model. Cakravastia et al (2002) used a MIP model for supplier selection in a multi-stage supply chain design problem. Guillen et al (2005) presented a supply chain design problem as a multi-objective stochastic MIP model and take into account the uncertainty of demand forecasting, then a branch and bound method is used for solving this model.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Classification of studied papers in the literature based on decision levels Article Paper's studied Issue SCM level Lakhal et al (2001) Supply chain network structure Strategic Cakravastia et al (2002) Supplier selection Strategic Perea-López et al (2003) Distribution network planning Tactical Chan and Chung (2004a) Order distribution Operational Wu and Golbasi (2004) Facility planning Strategic Wee and Yang (2004) Integration of Supply chain Strategic Chen and Lee (2004) Supply chain scheduling Operational Chan et al (2004) Supply chain collaboration Strategic Chan and Chung (2004b) Distribution network planning Tactical Bredström et al (2004) Transportation + Production scheduling + Distribution Operational Mo et al (2005) Integration of production and distribution systems Operational Chan et al (2006) Distribution network + Production scheduling Operational Venkatadri et al (2006) Manufacturing and distribution planning Tactical Craven (2007) Inventory Operational Herty and Ringhofer (2007) Supply chain network optimization Tactical Grunow et al (2007) Production planning and scheduling + Dispatching l Tactical + Operational Chen et al (2007) Production and distribution planning Tactical Kim et al (2008) Supply chain design Strategic Shirazi et al (2008) Facility relocation Design of distribution network Strategic Pishvaee and Torabi (2010) Closed-loop supply chain network design Strategic Guillen-Gosalbez et al (2010) Deign of production-distribution network Strategic Monteiro et al (2010) Supply chain network design Strategic Paksoy et al (2010) Green supply chain network design Strategic Liao et al (2010) Location-inventory integration + Performance Operational + Tactical Nagurney (2010) Supply chain network design and redesign Strategic Shukla et al (2010) Supply chain network optimization Tactical Wang et al (2011) Green supply chain network design Strategic Liao et al (2011) Integrated location-inventory distribution network Strategic/Tactical/Operatio l* …”
Section: Tablementioning
confidence: 99%
“…Some of other noticeable objective functions are "Minimization of travel and transportation time", "Minimization of total tardiness", "Minimization of lead time", "Maximization of service level", and "Maximization of distributers' reputation". Only nine papers of all studies have considered multi objectives, and Cakravastia et al (2002) and Grunow et al (2007) are only multi stage models. Bredström et al (2004) presented two models and Wang (2009) considered three.…”
Section: Modelingmentioning
confidence: 99%