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A sustainable manufacturing system design: a fuzzy multi-objective optimization model

Research output: Contribution to journalArticlepeer-review

  • Reda Nujoom
  • Ahmed Mohmmed
  • Qian Wang
In the past decade, there has been a growing concern about the environmental protection in public society as governments almost all over the world have initiated certain rules and regulations to promote energy saving and minimize the production of carbon dioxide (CO2) emissions in many manufacturing industries. The development of sustainable manufacturing systems is considered as one of the effective solutions to minimize the environmental impact. Lean approach is also considered as a proper method for achieving sustainability as it can reduce manufacturing wastes and increase the system efficiency and productivity. However, the lean approach does not include environmental waste of 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 a measurement of energy consumption and CO2 emissions using different sources of energy (oil as direct energy source to generate thermal energy and oil or solar as indirect energy source to generate electricity). To this aim, a multi-objective mathematical model is developed incorporating the economic and ecological constraints aimed for minimization of the total cost, energy consumption, and CO2 emissions for a manufacturing system design. For the real world scenario, the uncertainty in a number of input parameters was handled through the development of a fuzzy multi-objective model. The study also addresses decision-making in the number of machines, the number of air-conditioning units, and the number of bulbs involved in each process of a manufacturing system in conjunction with a quantity of material flow for processed products. A real case study was used for examining the validation and applicability of the developed sustainable manufacturing system model using the fuzzy multi-objective approach.
Original languageEnglish
JournalEnvironmental Science and Pollution Research
Early online date10 Aug 2017
Publication statusEarly online - 10 Aug 2017
Event2016 I.E. 5th International Conference on Renewable Energy Research and Applications - Birmingham, United Kingdom
Duration: 20 Nov 201623 Nov 2016


  • A sustainable manufacturing system design

    Rights statement: This is a post-peer-review, pre-copyedit version of an article published in Environmental Science and Pollution Research. The final publication is available at Springer via

    Accepted author manuscript (Post-print), 913 KB, PDF document

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