Hedging weather risk and coordinating supply chains

Brusset, Xavier; Bertrand, Jean‐Louis

doi:10.1016/j.jom.2018.10.002

Cited by 42 publications

(34 citation statements)

References 69 publications

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“…In contrast to the above examples, Brusset and Bertrand (2018) demonstrated a traditional DS approach in their development of weather‐based financial instruments to improve supply chain coordination. Along the lines described in the 2016 essay by Van Aken et al, these authors extended a tool used in finance for the supply chain context to solve a problem in one chain.…”

Section: What Did We Learn About the Use Of Ibr In Om?mentioning

confidence: 99%

“…Although the first three papers (Groop et al, 2007; Akkermans et al, 2019; Kunz & Van Wassenhove, 2019) were accepted by the DS department editors, they diverged from the traditional DS view of creating and testing an artifact as exemplified by Brusset and Bertrand (2018). Rather, all three papers described research that began from a failed attempt to apply theory to a problem, resulting in a new understanding of the problem or an expansion of the set of theories used to solve the problem.…”

Section: What Did We Learn About the Use Of Ibr In Om?mentioning

confidence: 99%

“…Hedging weather risks and coordination in supply chains (Brusset & Bertrand, 2018) Supply chain Problem: Fluctuations in weather due to climate change creates financial losses for manufacturers when they incur lower-than-expected sales due to adverse weather conditions. These indirect effects of weather impact manufacturers differently.…”

Section: Paper Context Synthesismentioning

confidence: 99%

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Editorial:Intervention‐basedresearch (IBR)—What, where, and how to use it in operations management

Chandrasekaran

Treville²,

Browning

2020

J of Ops Management

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It has been 4.5 years since the establishment of the Design Science (DS) department in the Journal of Operations Management (JOM). Even with the recent name change to the department of Intervention-based Research (IBR), its mission remains as discussed in the initial essay (Van Aken, Chandrasekaran, & Halman, 2016, p. 1): "to publish high quality research articles that derive new theoretical and managerial insights by engaging with practice and solving complex field problems." JOM has received over 65 DS/IBR submissions and accepted 8 of these papers on topics that include sourcing, healthcare delivery, product development, and humanitarian operations. Table 1 lists these published articles. The objective of this editorial is to share with prospective authors and reviewers the insights gained from this experience.We first observed that the articles making it through the peer-review process to acceptance in JOM tended to deviate from common DS practices as applied in neighboring disciplines such as information systems (for an in-depth review of DS in some other disciplines, see

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Section: What Did We Learn About the Use Of Ibr In Om?mentioning

confidence: 99%

Section: What Did We Learn About the Use Of Ibr In Om?mentioning

confidence: 99%

Section: Paper Context Synthesismentioning

confidence: 99%

See 1 more Smart Citation

Editorial:Intervention‐basedresearch (IBR)—What, where, and how to use it in operations management

Chandrasekaran

Treville²,

Browning

2020

J of Ops Management

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“…Note that the emphasis here is on knowledge transfer and process transformation rather than the efficiencies achieved through the application of the scientific methods. Examples of similar papers in OM with practical applications and structure can be found in Brusset and Bertrand (2018) and Kinra et al (2020).…”

Section: Cimo-logicmentioning

confidence: 99%

Strategic global supply chain network design – how decision analysis combining MILP and AHP on a Pareto front can improve decision-making

Reich

Kinra

Kotzab

et al. 2020

International Journal of Production Research

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Integrating a broad range of information types and finding trade-offs between conflicting goals is a challenge in global supply chain network design (GSCND). Effective decision support systems (DSS) should be user-friendly, provide transparency, and support human judgement. There is a wide range of optimisation models that aim to improve the outcome of network design decisions. However, their practical performance often remains unknown, as their implementation into the managerial decision process is largely neglected. Such theory-driven models usually focus on single aspects of the decision, without being able to accommodate the practical problem comprehensively. We employ the CIMO approach to resolve the issue and contribute by showing how an integration involving these methods can be useful for managers once the proper knowledge transfer has been effectuated. An innovative decision support framework, which combines mixed-integer linear programming, the Analytical Hierarchy Process, and the Pareto front is created and analysed during a case study in the med-tech industry. Results show that the framework accommodates managerial experience, integrates qualitative as well as quantitative criteria, and provides transparency over the entire range of efficient solutions. The framework and application results contribute towards the development of more flexible and easy-to-use decision support systems for GSCND.

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“…

In Brusset and Bertrand (2018), the errors were published on pages 41, 43, 46, and in References. On page 41, where the article reads:The fact that temperature, rainfall and other weather variables have direct effects on various economic series is not new (Steele, 1951; Granger, 1978).

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mentioning

confidence: 99%