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Decision Support for Smart Manufacturing

Decision Support for Smart Manufacturing

Marzieh Khakifirooz, Mahdi Fathi, Panos M. Pardalos, Daniel J. Power
Copyright: © 2021 |Pages: 13
ISBN13: 9781799834731|ISBN10: 1799834735|EISBN13: 9781799834748
DOI: 10.4018/978-1-7998-3473-1.ch162
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MLA

Khakifirooz, Marzieh, et al. "Decision Support for Smart Manufacturing." Encyclopedia of Organizational Knowledge, Administration, and Technology, edited by Mehdi Khosrow-Pour D.B.A., IGI Global, 2021, pp. 2352-2364. https://doi.org/10.4018/978-1-7998-3473-1.ch162

APA

Khakifirooz, M., Fathi, M., Pardalos, P. M., & Power, D. J. (2021). Decision Support for Smart Manufacturing. In M. Khosrow-Pour D.B.A. (Ed.), Encyclopedia of Organizational Knowledge, Administration, and Technology (pp. 2352-2364). IGI Global. https://doi.org/10.4018/978-1-7998-3473-1.ch162

Chicago

Khakifirooz, Marzieh, et al. "Decision Support for Smart Manufacturing." In Encyclopedia of Organizational Knowledge, Administration, and Technology, edited by Mehdi Khosrow-Pour D.B.A., 2352-2364. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3473-1.ch162

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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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