@article{bozarth_blackhurst_handfield_2007, title={Following the thread: Industry cluster theory, the New England cotton textiles industry, and implications for future supply chain research}, volume={16}, ISSN={["1937-5956"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-34249710741&partnerID=MN8TOARS}, DOI={10.1111/j.1937-5956.2007.tb00172.x}, abstractNote={ The purpose of this paper is to introduce supply chain management researchers to industry cluster theory within the context of supply chain management decisions. Industry cluster theory emphasizes the explicit and implicit benefits that accrue to various economic players due to geographic proximity. As such, it provides a contrasting view to the current pressure on supply chains to seek out the “best” partners, regardless of location. We review the theory behind industry clusters, and illustrate it using the example of the New England cotton textile industry. Incorporating these concepts into future research has the potential to improve our understanding of how decisions regarding supply chain location and sourcing decisions are currently made, and what role location‐based benefits should play in these decisions. }, number={1}, journal={PRODUCTION AND OPERATIONS MANAGEMENT}, author={Bozarth, Cecil and Blackhurst, Jennifer and Handfield, Robert B.}, year={2007}, pages={154–157} }
 @article{blackhurst_craighead_elkins_handfield_2005, title={An empirically derived agenda of critical research issues for managing supply-chain disruptions}, volume={43}, ISSN={["1366-588X"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-27844542118&partnerID=MN8TOARS}, DOI={10.1080/00207540500151549}, abstractNote={While the literature related to supply-chain disruptions is informative, it has primarily focused on supply-chain disruptions from a general or high-level view of the phenomenon (e.g. supply-chain uncertainty, risk perceptions). Additionally, although most would agree that disruptions are present in all supply chains, there is a limited amount of information on how to deal with them from a practical perspective in both the short term and long term. Because of the importance of and research needs within this area, we launched a major multi-industry, multi-methodology empirical study on supply-chain disruptions. The study is multi-faceted in that it seeks insights into many issues within the broad area of global sourcing and supply-chain disruptions. Throughout our various interactions with industry, we found that several common themes and issues surfaced as being critical to successful disruption analysis and mitigation as well as resilient supply-chain design. Within this paper, we report on these key issues and discuss the needs within the supply-chain research to contribute to them.}, number={19}, journal={INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH}, author={Blackhurst, J and Craighead, CW and Elkins, D and Handfield, RB}, year={2005}, month={Oct}, pages={4067–4081} }
 @article{blackhurst_wu_p o'grady_2005, title={PCDM: a decision support modeling methodology for supply chain, product and process design decisions}, volume={23}, ISSN={["1873-1317"]}, DOI={10.1016/j.jom.2004.05.009}, abstractNote={Abstract}, number={3-4}, journal={JOURNAL OF OPERATIONS MANAGEMENT}, author={Blackhurst, J and Wu, T and P O'Grady}, year={2005}, month={Apr}, pages={325–343} }
 @article{wu_xie_blackhurst_2004, title={Design and implementation of a distributed information system for collaborative product development}, volume={4}, DOI={10.1155/1.1814385}, number={4}, journal={Journal of Computing and Information Science in Engineering}, author={Wu, T. and Xie, N. and Blackhurst, J.}, year={2004}, pages={281–293} }
 @article{blackhurst_wu_p o'grady_2004, title={Network-based approach to modelling uncertainty in a supply chain}, volume={42}, ISSN={["1366-588X"]}, DOI={10.1080/0020754030360001646064}, abstractNote={Supply chains are interlinked networks of suppliers, manufacturers, distributors and customers that provide a product or service to customers. Typical supply chains can be characterized by their complexity and by the inherent uncertainty in their operations. Therefore, modelling such supply chains is a difficult and challenging research task, particularly given the need to model the stochastic operations of typical supply chains. What is giving added urgency to the need to address this issue are the recent developments in communications, primarily based on Internet technologies, that offer the promise of connecting suppliers, assemblers and customers in a seamless network of information. This offers the promise of substantially improved decision-making and a consequent considerable improvement in operations. However, fulfilment of this promise is dependent on the development of a suitable modelling methodology for supply chains. A network-based methodology to model and analyse supply chain systems is proposed. The methodology represents the operation of a supply chain as an abstracted network. The approach allows for the inclusion of stochastic variables so that uncertainty in the operation of a supply chain can be modelled. The use of the methodology is illustrated using a case study based on company data. The contribution of this paper is threefold. First, an approach is presented that can represent the complex operation of a supply chain as an abstracted network. Second, the use of stochastic variables in this approach is described. The stochastic variables represent the uncertainty present in typical supply chains. Third, a case study is presented that illustrates how this approach can be used to improve the operation of a supply chain.}, number={8}, journal={INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH}, author={Blackhurst, J and Wu, T and P O'Grady}, year={2004}, month={Apr}, pages={1639–1658} }