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Sustainability assessment of mechanical manufacturing systems in the industrial sector

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  • Cai, Wei
  • Lai, Kee-hung

Abstract

Sustainability assessment is growingly recognized as an effective analytical methodology and management tool useful for managing and improving sustainability performance. In this study, a novel approach of sustainability benchmark assessment is presented to overcome the performance quantification and hierarchization deficiencies of current sustainability assessment methods. A conceptual model demonstrating how sustainability assessment of mechanical manufacturing systems in the industrial sector produces mutually beneficial energy, economy and environment outcomes that serve to reduce energy and cost demand and mitigate environmental challenges is illustrated. Through constructing the sustainability index system encompassing energy, economy and environment perspectives, the energy, economy and environment-oriented assessment models are presented. Furthermore, two concepts concerning sustainability benchmark and sustainability benchmark rating are proposed to benefit the sustainable performance quantification and hierarchization of mechanical manufacturing systems. This method based on sustainability benchmark assessment is applied to a small mechanical manufacturing enterprise in China through which users can visualize and identify sustainability performance for different mechanical manufacturing systems. This approach can offer the effective feedback for users to enhance process management and technical improvement (process optimization) and to reconsider the energy, economic, and environment in new production cycle, enabling sustainability continuous cycle improvement. This study contributes a new theoretical insight for sustainability assessment by offering relational ties with technical and managerial aspects in support of industrial sustainability.

Suggested Citation

  • Cai, Wei & Lai, Kee-hung, 2021. "Sustainability assessment of mechanical manufacturing systems in the industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  • Handle: RePEc:eee:rensus:v:135:y:2021:i:c:s1364032120304603
    DOI: 10.1016/j.rser.2020.110169
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    1. Yoon, Hae-Sung & Kim, Eun-Seob & Kim, Min-Soo & Lee, Jang-Yeob & Lee, Gyu-Bong & Ahn, Sung-Hoon, 2015. "Towards greener machine tools – A review on energy saving strategies and technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 870-891.
    2. Liu, Conghu & Cai, Wei & Dinolov, Ognyan & Zhang, Cuixia & Rao, Weizhen & Jia, Shun & Li, Li & Chan, Felix T.S., 2018. "Emergy based sustainability evaluation of remanufacturing machining systems," Energy, Elsevier, vol. 150(C), pages 670-680.
    3. Balogun, Vincent Aizebeoje & Edem, Isuamfon F. & Gu, Heng & Mativenga, Paul Tarisai, 2018. "Energy centric selection of machining conditions for minimum cost," Energy, Elsevier, vol. 164(C), pages 655-663.
    4. Schudeleit, Timo & Züst, Simon & Weiss, Lukas & Wegener, Konrad, 2016. "The Total Energy Efficiency Index for machine tools," Energy, Elsevier, vol. 102(C), pages 682-693.
    5. Ma, Li & Zhai, Xin & Zhong, Weiguo & Zhang, Zhi-Xue, 2019. "Deploying human capital for innovation: A study of multi-country manufacturing firms," International Journal of Production Economics, Elsevier, vol. 208(C), pages 241-253.
    6. Luoke Hu & Renzhong Tang & Keyan He & Shun Jia, 2015. "Estimating machining-related energy consumption of parts at the design phase based on feature technology," International Journal of Production Research, Taylor & Francis Journals, vol. 53(23), pages 7016-7033, December.
    7. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    8. Cai, Wei & Liu, Fei & Zhang, Hua & Liu, Peiji & Tuo, Junbo, 2017. "Development of dynamic energy benchmark for mass production in machining systems for energy management and energy-efficiency improvement," Applied Energy, Elsevier, vol. 202(C), pages 715-725.
    9. Luthra, Sunil & Mangla, Sachin Kumar & Kharb, Ravinder K., 2015. "Sustainable assessment in energy planning and management in Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 58-73.
    10. Lu, Shyi-Min & Lu, Ching & Tseng, Kuo-Tung & Chen, Falin & Chen, Chen-Liang, 2013. "Energy-saving potential of the industrial sector of Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 674-683.
    11. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    12. Samarghandi, Hamed, 2017. "Studying the impact of merged and divided storage policies on the profitability of a remanufacturing system with deteriorating revenues," International Journal of Production Economics, Elsevier, vol. 193(C), pages 160-171.
    13. Song, Dan & Yang, Jin & Chen, Bin & Hayat, Tasawar & Alsaedi, Ahmed, 2016. "Life-cycle environmental impact analysis of a typical cement production chain," Applied Energy, Elsevier, vol. 164(C), pages 916-923.
    14. Kelle, Peter & Song, Jinglu & Jin, Mingzhou & Schneider, Helmut & Claypool, Christopher, 2019. "Evaluation of operational and environmental sustainability tradeoffs in multimodal freight transportation planning," International Journal of Production Economics, Elsevier, vol. 209(C), pages 411-420.
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