Towards a sustainable manufacturing system design: a multi-objective optimization model

Reda Ahmed O Nujoom, Qian Wang, Ahmed Mohammed

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Abstract

    Developments of sustainable manufacturing systems are considered as one of effective solutions to minimize the environmental impact. Design of a sustainable manufacturing system can be partially achieved through the implementation of lean methods to reduce manufacturing wastes and operational costs, and increase the system efficiency and productivity. However, the lean approach does not include environmental wastes in such as energy consumption and CO2 emissions when designing a lean manufacturing system. This paper addresses these issues by evaluating a sustainable manufacturing system design considering energy consumption, CO2 emissions and the total cost using the multi-objective approach. To this aim, a multi-objective mathematical model was developed under economic and ecological constraints in terms of minimization of the total cost, energy consumption and CO2 emissions associated with the number of machines involved in each process in conjunction with a quantity of material flow for processing these products in a manufacturing system. A real case study was used for examining the validation and applicability of the developed sustainable manufacturing system model.
    Original languageEnglish
    Title of host publicationProceedings of the 23rd International Conference on Automation & Computing
    Subtitle of host publicationICAC 2017
    PublisherIEEE
    ISBN (Electronic)978-0-7017-0260-1
    ISBN (Print)978-1-5090-5040-6
    DOIs
    Publication statusPublished - 26 Oct 2017
    Event23rd International Conference on Automation and Computing: ICAC 2017 - Huddersfield, United Kingdom
    Duration: 7 Sep 20178 Sep 2017

    Conference

    Conference23rd International Conference on Automation and Computing
    CountryUnited Kingdom
    CityHuddersfield
    Period7/09/178/09/17

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