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Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment

Integration of Fuzzy Logic Techniques into DSS for Profitability Quantification in a Manufacturing Environment
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Author(s): Irraivan Elamvazuthi (Universiti Teknologi PETRONAS, Malaysia), Pandian Vasant (University of Technology Petronas, Malaysia)and Timothy Ganesan (Universiti Teknologi PETRONAS, Malaysia)
Copyright: 2012
Pages: 22
Source title: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions
Source Author(s)/Editor(s): Mohammad Ayoub Khan (Centre for Development of Advanced Computing, India)and Abdul Quaiyum Ansari (Jamia Millia Islamia, India)
DOI: 10.4018/978-1-4666-0294-6.ch007

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Abstract

Production control, planning, and scheduling are forms of decision making, which play a crucial role in manufacturing industries. In the current competitive environment, effective decision-making has become a necessity for survival in the marketplace. This chapter provides insight into the issues relating to integration of fuzzy logic techniques into decision support systems for profitability quantification in a manufacturing environment. The chapter is divided into five sections with a general introduction of the topic, followed by a thorough literature review on the existing techniques. Thereafter, fuzzy logic algorithms using logistic membership functions and resource variables for decision making aiming at quality improvement are discussed. A case study involving a textile firm is then described with the computational results and findings, and finally, future research directions are presented.

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