IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p6144-d449681.html
   My bibliography  Save this article

Energy-Based Novel Quantifiable Sustainability Value Assessment Method for Machining Processes

Author

Listed:
  • Aqib Mashood Khan

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Shandong 250061, China
    College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Saqib Anwar

    (Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

  • Munish Kumar Gupta

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Shandong 250061, China
    Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia)

  • Abdullah Alfaify

    (Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

  • Saqib Hasnain

    (Depertment of Mechatronics Engineering, University of Engineering and Technology Taxila, Taxila 47050, Pakistan)

  • Muhammad Jamil

    (College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Mozammel Mia

    (Department of Mechanical Engineering, Imperial College London, London SW7 2AZ, UK)

  • Danil Yurievich Pimenov

    (Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia)

Abstract

Sustainability assessments of cooling/lubrication-assisted advanced machining processes has been demanded by environment control agencies because it is an effective management tool for improving process sustainability. To achieve an effective and efficient sustainability evolution of machining processes, there is a need to develop a new method that can incorporate qualitative indicators to create a quantifiable value. In the present research work, a novel quantifiable sustainability value assessment method was proposed to provide performance quantification of the existing sustainability assessment methods. The proposed method consists of three steps: establishing sustainable guidelines and identifying new indicators, data acquisition, and developing an algorithm, which creates the Overall Performance Assessment Indicator (OPAI) from the sustainability assessment method. In the proposed algorithm, initially, both quantitative and qualitative sustainability indicators are normalized. After weight assignment and aggregation, the OPAI is obtained. The developed algorithm was validated from three literature case studies, and optimal cutting parameters were obtained. The present methodology provides effective guidelines for a machinist to enhance process performance and achieve process optimization. The study also offers a relationship between sustainable and machining metrics for the support of industrial sustainability.

Suggested Citation

  • Aqib Mashood Khan & Saqib Anwar & Munish Kumar Gupta & Abdullah Alfaify & Saqib Hasnain & Muhammad Jamil & Mozammel Mia & Danil Yurievich Pimenov, 2020. "Energy-Based Novel Quantifiable Sustainability Value Assessment Method for Machining Processes," Energies, MDPI, vol. 13(22), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6144-:d:449681
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/6144/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/22/6144/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aqib Mashood Khan & Muhammad Jamil & Konstantinos Salonitis & Shoaib Sarfraz & Wei Zhao & Ning He & Mozammel Mia & GuoLong Zhao, 2019. "Multi-Objective Optimization of Energy Consumption and Surface Quality in Nanofluid SQCL Assisted Face Milling," Energies, MDPI, vol. 12(4), pages 1-22, February.
    2. Alberto Simboli & Andrea Raggi & Pietro Rosica, 2015. "Life Cycle Assessment of Process Eco-Innovations in an SME Automotive Supply Network," Sustainability, MDPI, vol. 7(10), pages 1-16, October.
    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. Ardamanbir Singh Sidhu & Sehijpal Singh & Raman Kumar & Danil Yurievich Pimenov & Khaled Giasin, 2021. "Prioritizing Energy-Intensive Machining Operations and Gauging the Influence of Electric Parameters: An Industrial Case Study," Energies, MDPI, vol. 14(16), pages 1-39, August.
    2. Luka Celent & Marko Mladineo & Nikola Gjeldum & Marina Crnjac Zizic, 2022. "Multi-Criteria Decision Support System for Smart and Sustainable Machining Process," Energies, MDPI, vol. 15(3), pages 1-22, January.
    3. Nikolaos E. Karkalos & Panagiotis Karmiris-Obratański & Rafał Kudelski & Angelos P. Markopoulos, 2021. "Experimental Study on the Sustainability Assessment of AWJ Machining of Ti-6Al-4V Using Glass Beads Abrasive Particles," Sustainability, MDPI, vol. 13(16), pages 1-18, August.

    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. Jacek Wysocki, 2021. "Innovative Green Initiatives in the Manufacturing SME Sector in Poland," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    2. Daniela C. A. Pigosso & Andreas Schmiegelow & Maj Munch Andersen, 2018. "Measuring the Readiness of SMEs for Eco-Innovation and Industrial Symbiosis: Development of a Screening Tool," Sustainability, MDPI, vol. 10(8), pages 1-25, August.
    3. Radosław Depczyński & Jim Secka & Katarzyna Cheba & Carlotta D’Alessandro & Katarzyna Szopik-Depczyńska, 2023. "Decision-Making Approach in Sustainability Assessment in Steel Manufacturing Companies—Systematic Literature Review," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
    4. Konstantinos Salonitis, 2020. "Energy Efficiency of Manufacturing Processes and Systems—An Introduction," Energies, MDPI, vol. 13(11), pages 1-5, June.
    5. Khan, A.M. & Liang, L. & Mia, M. & Gupta, M.K. & Wei, Z. & Jamil, M. & Ning, H., 2021. "Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    6. Helena Bulińska-Stangrecka & Anna Bagieńska, 2021. "Culture-Based Green Workplace Practices as a Means of Conserving Energy and Other Natural Resources in the Manufacturing Sector," Energies, MDPI, vol. 14(19), pages 1-21, October.
    7. Lirios Alos-Simo & Antonio J. Verdu-Jover & Jose M. Gomez-Gras, 2020. "The Dynamic Process of Ambidexterity in Eco-Innovation," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
    8. Pimenov, Danil Yu & Mia, Mozammel & Gupta, Munish K. & Machado, Álisson R. & Pintaude, Giuseppe & Unune, Deepak Rajendra & Khanna, Navneet & Khan, Aqib Mashood & Tomaz, Ítalo & Wojciechowski, Szymon &, 2022. "Resource saving by optimization and machining environments for sustainable manufacturing: A review and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    9. Minja Bolesnikov & Milica Popović Stijačić & Mladen Radišić & Aleksandar Takači & Jelena Borocki & Dragana Bolesnikov & Paula Bajdor & Joanna Dzieńdziora, 2019. "Development of a Business Model by Introducing Sustainable and Tailor-Made Value Proposition for SME Clients," Sustainability, MDPI, vol. 11(4), pages 1-16, February.
    10. Cristina Ciliberto & Katarzyna Szopik‐Depczyńska & Małgorzata Tarczyńska‐Łuniewska & Alessandro Ruggieri & Giuseppe Ioppolo, 2021. "Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3255-3272, November.
    11. Lijun Song & Jing Shi & Anda Pan & Jie Yang & Jun Xie, 2020. "A Dynamic Multi-Swarm Particle Swarm Optimizer for Multi-Objective Optimization of Machining Operations Considering Efficiency and Energy Consumption," Energies, MDPI, vol. 13(10), pages 1-18, May.
    12. Roberto Rivas Hermann & Karin Wigger, 2017. "Eco-Innovation Drivers in Value-Creating Networks: A Case Study of Ship Retrofitting Services," Sustainability, MDPI, vol. 9(5), pages 1-27, May.
    13. Muhammad Imran & Zhaoquan Jian & Adnan ul Haque & Mariusz Urbański & Sree Lekshmi Sreekumaran Nair, 2018. "Determinants of Firm’s Export Performance in China’s Automobile Industry," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    14. Marek Ondov & Andrea Rosova & Marian Sofranko & Jan Feher & Jozef Cambal & Erika Feckova Skrabulakova, 2022. "Redesigning the Production Process Using Simulation for Sustainable Development of the Enterprise," Sustainability, MDPI, vol. 14(3), pages 1-21, January.

    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:gam:jeners:v:13:y:2020:i:22:p:6144-:d:449681. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.