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Träfflista för sökning "L773:1873 1317 OR L773:0272 6963 srt2:(2015-2019)"

Sökning: L773:1873 1317 OR L773:0272 6963 > (2015-2019)

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1.
  • Jahre, Marianne, et al. (författare)
  • Integrating supply chains for emergencies and ongoing operations in UNHCR
  • 2016
  • Ingår i: Journal of Operations Management. - : Wiley. - 0272-6963 .- 1873-1317. ; 45:Special Issue, s. 57-72
  • Tidskriftsartikel (refereegranskat)abstract
    • Humanitarian organizations (HOs) often base their warehouse locations on individuals' experience and knowledge rather than on decision-support tools. Many HOs run separate supply chains for emergency response and ongoing operations. Based on reviews of humanitarian network design literature combined with an in-depth case study of United Nations High Commissioner for Refugees (UNHCR), this paper presents a warehouse location model for joint prepositioning that incorporates political and security situation factors. Although accessibility, co-location, security, and human resources are crucial to the practice of humanitarian operations management, such contextual factors have not been included in existing network optimization models before. We found that when quantified, and modeled, such factors are important determinants of network configuration. In addition, our results suggest that joint prepositioning for emergency response and ongoing operations allows for expansion of the global warehouse network, and reducing cost and response time.
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2.
  • Kaipia, Riikka, 1964, et al. (författare)
  • Information sharing for sales and operations planning: Contextualized solutions and mechanisms
  • 2017
  • Ingår i: Journal of Operations Management. - : Wiley. - 1873-1317 .- 0272-6963. ; 52, s. 15-29
  • Tidskriftsartikel (refereegranskat)abstract
    • We develop actionable design propositions for collaborative sales and operations planning (S&OP) based on the observation of contexts in which benefits are generated — or are absent — from retail information sharing for a manufacturer. An information sharing pilot project in a real-life setting of two product manufacturers and one retailer was designed. The project resulted in one manufacturer, serving a retailer from its local factory, developing a process for collaborative S&OP, while the other manufacturer serving a retailer from more distant regional factories abandoned the process. The evaluation of the outcomes experienced by the two manufacturers allows us to examine contexts in fine-grained detail and explain why introducing information sharing in the S&OP processes produce — or fail to produce — benefits. The paper contributes to the supply chain information sharing literature by presenting a field tested and evolved S&OP design for non-standard demand situations, and by a contextual analysis of the mechanisms that produce the benefits of retailer collaboration and information sharing in the S&OP process.
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3.
  • Petropoulos, Fotios, et al. (författare)
  • Judgmental selection of forecasting models
  • 2018
  • Ingår i: Journal of Operations Management. - : John Wiley & Sons. - 0272-6963 .- 1873-1317. ; 60, s. 34-46
  • Tidskriftsartikel (refereegranskat)abstract
    • In this paper, we explored how judgment can be used to improve the selection of a forecasting model. We compared the performance of judgmental model selection against a standard algorithm based on information criteria. We also examined the efficacy of a judgmental model-build approach, in which experts were asked to decide on the existence of the structural components (trend and seasonality) of the time series instead of directly selecting a model from a choice set. Our behavioral study used data from almost 700 participants, including forecasting practitioners. The results from our experiment suggest that selecting models judgmentally results in performance that is on par, if not better, to that of algorithmic selection. Further, judgmental model selection helps to avoid the worst models more frequently compared to algorithmic selection. Finally, a simple combination of the statistical and judgmental selections and judgmental aggregation significantly outperform both statistical and judgmental selections.
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  • Resultat 1-3 av 3

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