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Decision Aided Tool for a SME Supply Chain Sustainable Digital Transformation

  • Paul-Eric Dossou,
  • Kom Darol Tchuenmegne

摘要

The economic inflation that the whole world is currently experiencing and particularly Europe, in addition to globalization and the versatility of customer demand, encourage the companies to find innovative solutions to be more competitive. Indeed, for this competitiveness, industry 4.0 concepts have been successfully implemented in large companies supply chains as a tool to increase the company global performance. These concepts of digital transformation require to be adapted to SMEs expectations. The integration of sustainability aspects contributes to accelerate the concepts integration in SMEs by providing evolutive solutions appropriated to the SME singularity. This paper focuses on the design and development of an intelligent decision aided tool for well managing the sustainable digital transformation of SMEs. In this paper, the concepts and tools of the literature review, based on the supply chain 4.0 context and sustainability, industry 4.0, artificial intelligence and decision aided tools, have been briefly presented. Then, the paper next sections focus on the general approach and the decision intelligent system that are elaborated. An example is shown to validate these concepts and tools.