Decision Support for Smart Manufacturing

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Author(s): Marzieh Khakifirooz (Tecnológico de Monterrey, Mexico), Mahdi Fathi (University of North Texas, USA), Panos M. Pardalos (University of Florida, USA)and Daniel J. Power (University of Northern Iowa, USA)
Copyright: 2021
Pages: 13
Source title: Encyclopedia of Organizational Knowledge, Administration, and Technology
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-7998-3473-1.ch162

Keywords: Administration & Leadership / Business & Management / Business and Organizational Research / Business Science Reference

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Abstract

This work introduces a formation and variety of decision-making models based on operations research modeling and optimization techniques in smart manufacturing environments. Unlike traditional manufacturing, the goal of Smart manufacturing is to optimizing concept generation, production, and product transaction and enable flexibility in physical processes to address a dynamic, competitive and global supply chains by using intelligent computerized control, advanced information technology, smart manufacturing technologies and high levels of adaptability. While research in the broad area of smart manufacturing and its challenges in decision making encompasses a wide range of topics and methodologies, we believe this chapter provides a good snapshot of current quantitative modeling approaches, issues, and trends within the field. The chapter aims to provide insights into the system engineering design, emphasizing system requirements analysis and specification, the use of alternative analytical methods and how systems can be evaluated.

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