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Implementation of an Intelligent Model for Decision Making Based on CBR for Supply Chain Solution in Retail for a Cluster of Supermarkets
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Author(s): Adrian F. Loera-Castro (Technological Institute of Ciudad Juarez, Mexico), Jaime Sanchez (Technological Institute of Ciudad Juarez, Mexico), Jorge Restrepo (Autonomous University of Juarez City, Mexico & Technological University of Pereira, Colombia), Angel Fabián Campoya Morales (Autonomous University of Juarez City, Mexico)and Julian I. Aguilar-Duque (Universidad Autónoma de Baja California, Mexico)
Copyright: 2021
Pages: 17
Source title:
Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-9023-2.ch058
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Abstract
The latter includes customizing the user interface, as well as the way the system retrieves and processes cases afterward. The resulting cases may be shown to the user in different ways, and/or the retrieved cases may be adapted. This chapter is about an intelligent model for decision making based on case-based reasoning to solve the existing problem in the planning of distribution in the supply chain between a distribution center and a chain of supermarkets. First, the authors mentioned the need for intelligent systems in the decision-making processes, where they are necessary due to the limitations associated with conventional human decision-making processes. Among them, human experience is very scarce, and humans get tired of the burden of physical or mental work. In addition, human beings forget the crucial details of a problem, and many of the times are inconsistent in their daily decisions.
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