IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v163y2018icp863-872.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218317043
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.08.168?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Seow, Yingying & Goffin, Nicholas & Rahimifard, Shahin & Woolley, Elliot, 2016. "A ‘Design for Energy Minimization’ approach to reduce energy consumption during the manufacturing phase," Energy, Elsevier, vol. 109(C), pages 894-905.
    2. Safaei, N. & Saidi-Mehrabad, M. & Jabal-Ameli, M.S., 2008. "A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system," European Journal of Operational Research, Elsevier, vol. 185(2), pages 563-592, March.
    3. Wu, Xiaodan & Chu, Chao-Hsien & Wang, Yunfeng & Yan, Weili, 2007. "A genetic algorithm for cellular manufacturing design and layout," European Journal of Operational Research, Elsevier, vol. 181(1), pages 156-167, August.
    4. Ignacio Eguia & Jose Carlos Molina & Sebastian Lozano & Jesus Racero, 2017. "Cell design and multi-period machine loading in cellular reconfigurable manufacturing systems with alternative routing," International Journal of Production Research, Taylor & Francis Journals, vol. 55(10), pages 2775-2790, May.
    5. Chunfeng Liu & Jufeng Wang & Joseph Y.-T. Leung & Kai Li, 2016. "Solving cell formation and task scheduling in cellular manufacturing system by discrete bacteria foraging algorithm," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 923-944, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Imran Qureshi & Nohman Khan & Shazia Qayyum & Subha Malik & Sanil S Hishan & Thurasamy Ramayah, 2020. "Classifications of Sustainable Manufacturing Practices in ASEAN Region: A Systematic Review and Bibliometric Analysis of the Past Decade of Research," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    2. 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.
    3. 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.
    4. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Feng, Yanling & Li, Guo & Sethi, Suresh P., 2018. "A three-layer chromosome genetic algorithm for multi-cell scheduling with flexible routes and machine sharing," International Journal of Production Economics, Elsevier, vol. 196(C), pages 269-283.
    3. Ateekh Ur Rehman & Syed Hammad Mian & Usama Umer & Yusuf Siraj Usmani, 2019. "Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
    4. Martin Krajčovič & Viktor Hančinský & Ľuboslav Dulina & Patrik Grznár & Martin Gašo & Juraj Vaculík, 2019. "Parameter Setting for a Genetic Algorithm Layout Planner as a Toll of Sustainable Manufacturing," Sustainability, MDPI, vol. 11(7), pages 1-26, April.
    5. Hu, Luoke & Peng, Chen & Evans, Steve & Peng, Tao & Liu, Ying & Tang, Renzhong & Tiwari, Ashutosh, 2017. "Minimising the machining energy consumption of a machine tool by sequencing the features of a part," Energy, Elsevier, vol. 121(C), pages 292-305.
    6. Aidin Delgoshaei & Mohd Khairol Anuar Ariffin & Ahad Ali, 2017. "A multi-period scheduling method for trading-off between skilled-workers allocation and outsource service usage in dynamic CMS," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 997-1039, February.
    7. Ziyuan Tang & Hasan Dinçer, 2019. "Selecting the House-of-Quality-Based Energy Investment Policies for the Sustainable Emerging Economies," Sustainability, MDPI, vol. 11(13), pages 1-22, June.
    8. Ting Qu & Matthias Thürer & Junhao Wang & Zongzhong Wang & Huan Fu & Congdong Li & George Q. Huang, 2017. "System dynamics analysis for an Internet-of-Things-enabled production logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2622-2649, May.
    9. Fatemeh Sabouhi & Ali Bozorgi-Amiri & Mohammad Moshref-Javadi & Mehdi Heydari, 2019. "An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study," Annals of Operations Research, Springer, vol. 283(1), pages 643-677, December.
    10. Bonilla-Campos, Iñigo & Nieto, Nerea & del Portillo-Valdes, Luis & Manzanedo, Jaio & Gaztañaga, Haizea, 2020. "Energy efficiency optimisation in industrial processes: Integral decision support tool," Energy, Elsevier, vol. 191(C).
    11. Hu, Yuan & Peng, Ling & Li, Xiang & Yao, Xiaojing & Lin, Hui & Chi, Tianhe, 2018. "A novel evolution tree for analyzing the global energy consumption structure," Energy, Elsevier, vol. 147(C), pages 1177-1187.
    12. David Borge-Diez & Pedro Miguel Ortega-Cabezas & Antonio Colmenar-Santos & Jorge-Juan Blanes-Peiró, 2020. "Contribution of Driving Efficiency and Vehicle-to-Grid to Eco-Design," Energies, MDPI, vol. 13(15), pages 1-29, August.
    13. Liu, Huiling & Zhang, Jianhua & Lei, Heng, 2022. "Do imported environmental goods reduce pollution intensity? The end use matters," Energy Economics, Elsevier, vol. 112(C).
    14. N Safaei & R Tavakkoli-Moghaddam & F Sassani, 2009. "A series—parallel redundant reliability system for cellular manufacturing design," Journal of Risk and Reliability, , vol. 223(3), pages 233-250, September.
    15. A. Attila İşlier, 2015. "Cellular Manufacturing Systems: Organization, Trends and Innovative Methods," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 13-26, December.
    16. Xu, Le & Fan, Meiting & Yang, Lili & Shao, Shuai, 2021. "Heterogeneous green innovations and carbon emission performance: Evidence at China's city level," Energy Economics, Elsevier, vol. 99(C).
    17. Ravi Kumar & Surya Prakash Singh, 2018. "Simulated Annealing-Based Embedded Meta-Heuristic Approach to Solve Bi-objective Robust Stochastic Sustainable Cellular Layout," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-93, March.
    18. Estrada, Omar & Ortiz, Juan Carlos & Hernández, Alexander & López, Iván & Chejne, Farid & del Pilar Noriega, María, 2020. "Experimental study of energy performance of grooved feed and grooved plasticating single screw extrusion processes in terms of SEC, theoretical maximum energy efficiency and relative energy efficiency," Energy, Elsevier, vol. 194(C).
    19. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    20. Papaioannou, Grammatoula & Wilson, John M., 2010. "The evolution of cell formation problem methodologies based on recent studies (1997-2008): Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 206(3), pages 509-521, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:163:y:2018:i:c:p:863-872. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.