Opportunities for developing the science of operations and supply‐chain management

Singhal, Kalyan; Singhal, Jaya

doi:10.1016/j.jom.2011.11.002

Cited by 62 publications

(42 citation statements)

References 43 publications

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“…It also enables researchers to "triangulate" different research findings based on different research methodologies to gain deeper understanding of complex OM issues Singhal, 2012a and2012b). To this extent, the call for papers following mixed methodologies is a healthy development (cf.…”

Section: Connecting the Islands For Research Stream Integritymentioning

confidence: 99%

Guiding the next generation of doctoral students in operations management

Sodhi

Tang

2014

International Journal of Production Economics

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract: This paper presents ways for senior researchers to help future doctoral students in Operations Management (OM) to overcome multiple challenges in: (a) conducting relevant research while demonstrating greater rigor, and (b) exploring multi-disciplinary research projects while mastering a single research method. PermanentRecognizing that knowledge is generally created in four broad stages ((I) awareness, (II) framing, (III) modeling and (IV) validation), we first argue that different research approaches (analytical, behavioral, case study, or empirical) serve different roles in each of these stages: (1) case study approach for awareness, (2) empirical methods for framing, (3) analytical modeling for modeling and analysis, and (4) behavioral for validation in the real world. Then we discuss ways to enable doctoral students to overcome the aforementioned challenges.

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Section: Connecting the Islands For Research Stream Integritymentioning

confidence: 99%

Guiding the next generation of doctoral students in operations management

Sodhi

Tang

2014

International Journal of Production Economics

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“…However, various studies in partner selection in GSCs conclude that there is a gap between partner selection criteria construction theory and practice (e.g. Jayaraman et al 2007, Singhal andSinghal 2012). This has highlighted the need for a new method for identifying the most appropriate selection criteria to evaluate and select partner selection criteria in the GSC.…”

Section: Resultsmentioning

confidence: 99%

Partner selection in green supply chains using PSO – a practical approach

Barnes

2016

Production Planning & Control

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Partner selection is crucial to green supply chain management as the focal firm is responsible for the environmental performance of the whole supply chain. The construction of appropriate selection criteria is an essential, but often neglected prerequisite in the partner selection process. This paper proposes a three-stage model that combines Dempster-Shafer belief acceptability theory and particle swarm optimization technique for the first time in this application. This enables optimization of both effectiveness, in its consideration of the inter-dependence of a broad range of quantitative and qualitative selection criteria, and efficiency in its use of scarce resources during the criteria construction process to be achieved simultaneously. This also enables both operational and strategic attributes can be selected at different levels of hierarchy criteria in different decision-making environments. The practical efficacy of the model is demonstrated by an application in Company ABC, a large Chinese electronic equipment and instrument manufacturer.

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“…For recent discussions about different OM research topics, the reader is referred to de Kok and Graves (2003) and Singhal (2012) for supply chain management, Green (2012) for healthcare delivery operations, Drake and Spinler (2013) for sustainable operations, SimchiLevi (2014) for data-driven OM research, Netessine (2014) for innovative business models, Karmarkar (2015) for service operations, Starr and Van Wassenhove (2014) for humanitarian operations and crisis management, and Sodhi and Tang (2014b) for socially responsible operations. Also, for recent discussions about different OM research methods, the reader is referred to an excellent series of Handbooks in Operations Research and Management Science published by Elsevier for various operations research/ management science (OR/MS) analytical methods (discrete optimization, stochastic programming, etc.…”

Section: Introductionmentioning

confidence: 99%