Global supply chain design: A literature review and critique

By Mary J. Meixell, Vidyaranya B. Gargeya. 2005

865 citations recorded by the source corpus.

In this paper, we review decision support models for the design of global supply chains, and assess the fit between the research literature in this area and the practical issues of global supply chain design. The classification scheme for this review is based on ongoing and emerging issues in global supply chain management and includes review dimensions for (1) decisions addressed in the model, (2) performance metrics, (3) the degree to which the model supports integrated decision processes, and (4) globalization considerations. We conclude that although most models resolve a difficult feature associated with globalization, few models address the practical global supply chain design problem in its entirety. We close the paper with recommendations for future research in global supply chain modeling that is both forward-looking and practically oriented.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/d6064ba5cc1fa452ff42a6e07c2c65aed16c135c

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In Management Information Systems

In Strategy and Management

Citations in the corpus

Supply chain network design under profit maximization and oligopolistic competition (2010, background): “…unlike much of the classical supply chain network literature (cf. Beamon (1998), Min and Zhou (2002), Handfield and Nichols Jr. (2002), and Meixell and Gargeya (2005) for surveys and Geunes and Pardalos (2003) for an annotated bibliography) in our framework we do not need discrete…”
Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges (2010, background): “, exchange rate parameters and different taxation rules (Meixell and Gargeya 2005).”
A Review of Sustainable Supply Chain Management Practices in Canada (2012, background): “This is because firms’ brand image and competitiveness in the marketplace may be dependent upon their suppliers’ practices that defy the principles of sustainability (Meixell and Gargeya 2005; Cousins et al. 2004; Matos and Hall 2007).”
Redesign of global supply chains with integration of transfer pricing: Mathematical modeling and managerial insights (2014, background): “However, many authors argue that transfer pricing and SC decisions are highly correlated (e.g., Huh and Park, 2013; Shunko et al., 2013; Perron et al., 2010; Sutton, 2008; Meixell and Gargeya, 2005).”
Carbon market sensitive sustainable supply chain network design (2010, background): “Supply chain design based on economic considerations has been well covered in the literature (see Mexiell and Gargeya ,2005 [16]) for a good literature survey) and will not be addressed in this section.”
Application of planning models in the agri-food supply chain: A review (2009, background): “For instance, the academic and practice-oriented literature related to improvements of non-agricultural supply chains is ample (see for instance Vidal and Goetschalckx, 1997; Sarmiento and Nagi, 1999; Min and Zhou, 2002; Meixell and Gargeya, 2005).”
Facility location and supply chain management - A review (2009, background): “The terms network design and supply chain network design (SCND) are sometimes employed as synonyms of strategic supply chain planning (see [3,18,75,113]).”
Supply chain performance measurement: a literature review (2010, background): “…becoming increasingly boundaryless (Puigjaner and Lainez 2008), increased challenges of globalisation, increased use of outsourcing, vendor managed inventory and advanced planning systems (APS), increased demands of integration led to a broadened supply chain definition (Meixell and Gargeya 2005).”
A conceptual framework for agent-based modelling of logistics services (2010, background): “Supply chain management and operations research approaches have been developed with the purpose of improving the efficiency of the business operations for single firms or groups of firms (see Meixell and Gargeya, 2005; Crainic and Laporte, 1997 for good reviews).”
Strategic facility location, capacity acquisition, and technology choice decisions under demand uncertainty: Robust vs. non-robust optimization approaches (2017, background): “The distinction between stochastic and deterministic approaches is well understood (e.g., Vidal and Goetschalckx, 1997; Meixell and Gargeya, 2005; Melo et al., 2009), and the deterministic approach has been the dominant approach for production, distribution, and supply chain design models.”