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A Hybrid AI-Based Conceptual Decision-Making Model for Sustainable Maintenance Strategy Selection

A Hybrid AI-Based Conceptual Decision-Making Model for Sustainable Maintenance Strategy Selection

Soumava Boral, Sanjay K. Chaturvedi, V. N. A. Naikan, Ian M. Howard
ISBN13: 9781522585794|ISBN10: 1522585796|ISBN13 Softcover: 9781522585800|EISBN13: 9781522585817
DOI: 10.4018/978-1-5225-8579-4.ch004
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MLA

Boral, Soumava, et al. "A Hybrid AI-Based Conceptual Decision-Making Model for Sustainable Maintenance Strategy Selection." Advanced Multi-Criteria Decision Making for Addressing Complex Sustainability Issues, edited by Prasenjit Chatterjee, et al., IGI Global, 2019, pp. 63-93. https://doi.org/10.4018/978-1-5225-8579-4.ch004

APA

Boral, S., Chaturvedi, S. K., Naikan, V. N., & Howard, I. M. (2019). A Hybrid AI-Based Conceptual Decision-Making Model for Sustainable Maintenance Strategy Selection. In P. Chatterjee, M. Yazdani, S. Chakraborty, D. Panchal, & S. Bhattacharyya (Eds.), Advanced Multi-Criteria Decision Making for Addressing Complex Sustainability Issues (pp. 63-93). IGI Global. https://doi.org/10.4018/978-1-5225-8579-4.ch004

Chicago

Boral, Soumava, et al. "A Hybrid AI-Based Conceptual Decision-Making Model for Sustainable Maintenance Strategy Selection." In Advanced Multi-Criteria Decision Making for Addressing Complex Sustainability Issues, edited by Prasenjit Chatterjee, et al., 63-93. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8579-4.ch004

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Abstract

Selection of optimal maintenance strategy for critical systems/machinery is considered as a complex decision-making task that takes into account several available maintenance alternatives that are evaluated in terms of a set of different conflicting qualitative and quantitative factors. In the last few decades, progress has been made in different sustainable-based decision-making problems, where environmental, social, and economic factors played a pivotal role to arrive at the best decision. In this chapter, a hybrid artificial intelligence (AI)-based conceptual decision-making model is described by taking advantages of both expert system and case-based reasoning methodology to solve sustainable maintenance strategy selection problems. Adding to this, a flowchart of the model is suitably described by hypothetical examples of a sustainable maintenance strategy selection program.

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