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Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing

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Abstract

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.

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Applied Science Department (Mechanical), Bharati Vidyapeeth’s College of Engineering, Delhi, 110063, India

    Sumit Chawla

  2. Mechanical, Production, and Industrial Engineering Department, Delhi Technological University, Delhi, 110042, India

    Ranganath M. Singari

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  1. Sumit Chawla
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Contributions

Both authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by author 1. The first draft of the manuscript was written by author 1, and author 2 revises the manuscript and validate the results. Both authors read and approved the final manuscript.

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Correspondence to Sumit Chawla.

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Chawla, S., Singari, R.M. Energy-Efficient Fuzzy Scheduling System for Crankcase Covers Manufacturing. J. Inst. Eng. India Ser. C 105, 327–337 (2024). https://doi.org/10.1007/s40032-024-01026-2

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