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Energy-efficient cellular manufacturing system: Eco-friendly revamping of machine shop configuration

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  • Iqbal, Asif
  • Al-Ghamdi, Khalid A.

Abstract

Within the domain of sustainable manufacturing, most of the ongoing research efforts, regarding reduction in energy consumption, are focused on manufacturing processes while a little effort is being made to make other production related efforts energy-efficient. This paper presents an analytical effort for saving energy in a machine shop environment by optimizing assignment of manufacturing processes to various machines and grouping machines in various cells for minimizing parts transportation distance. A nonlinear mathematical model is developed that seeks minimization of total energy consumed in machining various quantities of multiple parts and their transportation within the machine shop. An algorithm based on simulated annealing metaheuristic is developed for solution of the mathematical model. The model is then applied for energy based revamping of a machine shop, which deals in manufacturing of various quantities of multiple jobs. It is found from its application that significant levels of production and transportation energies can be saved by assigning the manufacturing operations to the most appropriate machines and optimally grouping the machines into machine cells, respectively. The paper contributes towards energy conservation by optimizing facility layout and production planning of a manufacturing setup.

Suggested Citation

  • Iqbal, Asif & Al-Ghamdi, Khalid A., 2018. "Energy-efficient cellular manufacturing system: Eco-friendly revamping of machine shop configuration," Energy, Elsevier, vol. 163(C), pages 863-872.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:863-872
    DOI: 10.1016/j.energy.2018.08.168
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    References listed on IDEAS

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    Cited by:

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    2. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    3. Zhongwei Zhang & Lihui Wu & Zhaoyun Wu & Wenqiang Zhang & Shun Jia & Tao Peng, 2022. "Energy-Saving Oriented Manufacturing Workshop Facility Layout: A Solution Approach Using Multi-Objective Particle Swarm Optimization," Sustainability, MDPI, vol. 14(5), pages 1-28, February.
    4. Shang, Zhendong & Gao, Dong & Jiang, Zhipeng & Lu, Yong, 2019. "Towards less energy intensive heavy-duty machine tools: Power consumption characteristics and energy-saving strategies," Energy, Elsevier, vol. 178(C), pages 263-276.
    5. Kuldeep Lamba & Ravi Kumar & Shraddha Mishra & Shubhangini Rajput, 2020. "Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic," Annals of Operations Research, Springer, vol. 290(1), pages 5-26, July.

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