Towards a framework for developing visual analytics in supply chain environments


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



visual analytics, supply chain analytics, conceptual framework, business intelligence


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.




How to Cite

Khakpour, A., Colomo-Palacios, R., & Martini, A. (2023). Towards a framework for developing visual analytics in supply chain environments. International Journal of Information Systems and Project Management, 11(1), 52–71.