@article{(Open Science Index):https://publications.waset.org/pdf/10013537,
	  title     = {PredictionSCMS: The Implementation of an AI-Powered Supply Chain Management System},
	  author    = {Ioannis Andrianakis and  Vasileios Gkatas and  Nikos Eleftheriadis and  Alexios Ellinidis and  Ermioni Avramidou},
	  country	= {},
	  institution	= {},
	  abstract     = {The paper discusses the main aspects involved in the development of a supply chain management system using the developed PredictionSCMS software as a basis for the discussion. The discussion is focused on three topics: the first is demand forecasting, where we present the predictive algorithms implemented and discuss related concepts such as the calculation of the safety stock, the effect of out-of-stock days etc. The second topic concerns the design of a supply chain, where the core parameters involved in the process are given, together with a methodology of incorporating these parameters in a meaningful order creation strategy. Finally, the paper discusses some critical events that can happen during the operation of a supply chain management system and how the developed software notifies the end user about their occurrence.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {18},
	  number    = {3},
	  year      = {2024},
	  pages     = {65 - 71},
	  ee        = {https://publications.waset.org/pdf/10013537},
	  url   	= {https://publications.waset.org/vol/207},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 207, 2024},
	}