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Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing
https://orcid.org/http://orcid.org/0000-0003-3338-1922
Scheduling automotive part manufacturing is more arduous and complex. Getting an optimum schedule for automotive part manufacturing is a very back-breaker task. In today’s scenario, every industry and research organization need an energy-efficient system to cope up with the global environment. In the present work, we proposed energy-efficient fuzzy scheduling system for crankcase manufacturing. This study consists of the development of an energy-efficient fuzzy inference system, and its results are validated by a fuzzy set approach. Fuzzy logic can consider multiple criteria and can deal with uncertainty also. This scheduling system will help for identifying job priorities and select the best alternative route with multi-criteria scheduling through fuzzy logic. Three inputs are selected for both job priorities and route selection. Inputs are further divided into three ranges for developing 27 rules in the fuzzy reasoning tool. Fuzzy logic provides a decision by a combination of the rules for selecting job priorities and route selection. This study is very useful for all automotive industry as well as research organizations.
Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing
https://orcid.org/http://orcid.org/0000-0003-3338-1922
Scheduling automotive part manufacturing is more arduous and complex. Getting an optimum schedule for automotive part manufacturing is a very back-breaker task. In today’s scenario, every industry and research organization need an energy-efficient system to cope up with the global environment. In the present work, we proposed energy-efficient fuzzy scheduling system for crankcase manufacturing. This study consists of the development of an energy-efficient fuzzy inference system, and its results are validated by a fuzzy set approach. Fuzzy logic can consider multiple criteria and can deal with uncertainty also. This scheduling system will help for identifying job priorities and select the best alternative route with multi-criteria scheduling through fuzzy logic. Three inputs are selected for both job priorities and route selection. Inputs are further divided into three ranges for developing 27 rules in the fuzzy reasoning tool. Fuzzy logic provides a decision by a combination of the rules for selecting job priorities and route selection. This study is very useful for all automotive industry as well as research organizations.
Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing
https://orcid.org/http://orcid.org/0000-0003-3338-1922
Scheduling automotive part manufacturing is more arduous and complex. Getting an optimum schedule for automotive part manufacturing is a very back-breaker task. In today’s scenario, every industry and research organization need an energy-efficient system to cope up with the global environment. In the present work, we proposed energy-efficient fuzzy scheduling system for crankcase manufacturing. This study consists of the development of an energy-efficient fuzzy inference system, and its results are validated by a fuzzy set approach. Fuzzy logic can consider multiple criteria and can deal with uncertainty also. This scheduling system will help for identifying job priorities and select the best alternative route with multi-criteria scheduling through fuzzy logic. Three inputs are selected for both job priorities and route selection. Inputs are further divided into three ranges for developing 27 rules in the fuzzy reasoning tool. Fuzzy logic provides a decision by a combination of the rules for selecting job priorities and route selection. This study is very useful for all automotive industry as well as research organizations.
Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing
J. Inst. Eng. India Ser. C
Chawla, Sumit (author) / Singari, Ranganath M. (author)
Journal of The Institution of Engineers (India): Series C ; 105 ; 327-337
2024-04-01
11 pages
Article (Journal)
Electronic Resource
English
Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing
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