Towards a framework for developing visual analytics in supply chain environments

• Khakpour, Alireza ^[1] ; Colomo-Palacios, Ricardo ^[2] ; Martini, Antonio ^[3]
  1. [1] Faculty of Computer Science, Engineering and Economics, Østfold University College
  2. [2] Escuela Técnica Superior de Ingenieros Informáticos, Universidad Politécnica de Madrid
  3. [3] Department of Informatics, University of Oslo

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• Localización: International Journal of Information Systems and Project Management, ISSN-e 2182-7788, Vol. 11, Nº. 1, 2023, págs. 52-71
• Idioma: inglés
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• Resumen

  • Visual Analytics (VA) has shown to be of significant importance for Supply Chain (SC) analytics. However, SC partners still have challenges incorporating it into their data-driven decision-making activities. A conceptual framework for the development and deployment of a VA system provides an abstract, platform-independent model for the whole process of VA, covering requirement specification, data collection and pre-processing, visualization recommendation, visualization specification and implementation, and evaluations. In this paper, we propose such a framework based on three main aspects: 1) Business view, 2) Asset view, and 3) Technology view. Each of these views covers a set of steps to facilitate the development and maintenance of the system in its context. The framework follows a consistent process structure that comprises activities, tasks, and people. The final output of the whole process is the VA as a deliverable. This facilitates the alignment of VA activities with business processes and decision-making activities. We presented the framework's applicability using an actual usage scenario and left the implementation of the system for future work.