IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v55y2017i12p3349-3373.html
   My bibliography  Save this article

Optimisation of product configuration in consideration of customer satisfaction and low carbon

Author

Listed:
  • Dunbing Tang
  • Qi Wang
  • Inayat Ullah

Abstract

Product configuration is one of the key technologies in the environment of mass customisation, and it has been emphasised and concerned by much research. However, previous studies mostly focus on the cost or the customer utility, but ignore the environmental concern which becomes an important design criterion due to the rising awareness of environmental protection. Moreover, various preferences of customers are also not considered. In this paper, we develop a new bi-objective optimisation model with simultaneous consideration of customer satisfaction and the environmental impact in product configuration. Two objectives of our model are the customer satisfaction index (CSI) and greenhouse gas (GHG) emissions of products. The CSI is presented for the evaluation of customer satisfaction and the GHG emission model is developed to assess the environmental impact of the product. Essential constraints, such as selection, cost and compatibility, are also considered in the model. In addition, a two-phase approach is proposed to solve the optimisation model. Finally, the effectiveness of the proposed method is demonstrated through a case study.

Suggested Citation

  • Dunbing Tang & Qi Wang & Inayat Ullah, 2017. "Optimisation of product configuration in consideration of customer satisfaction and low carbon," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3349-3373, June.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:12:p:3349-3373
    DOI: 10.1080/00207543.2016.1231430
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2016.1231430
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2016.1231430?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. So, Kut C. & Song, Jing-Sheng, 1998. "Price, delivery time guarantees and capacity selection," European Journal of Operational Research, Elsevier, vol. 111(1), pages 28-49, November.
    2. Fioretti, Guido, 2007. "The organizational learning curve," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1375-1384, March.
    3. Mukhopadhyay, Samar K. & Ma, Huafan, 2009. "Joint procurement and production decisions in remanufacturing under quality and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 120(1), pages 5-17, July.
    4. Sheu, Jiuh-Biing & Chou, Yi-Hwa & Hu, Chun-Chia, 2005. "An integrated logistics operational model for green-supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(4), pages 287-313, July.
    5. Morad Benyoucef & Mustafa Canbolat, 2007. "Fuzzy AHP-based supplier selection in e-procurement," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 3(2), pages 172-192.
    6. Liotta, Giacomo & Stecca, Giuseppe & Kaihara, Toshiya, 2015. "Optimisation of freight flows and sourcing in sustainable production and transportation networks," International Journal of Production Economics, Elsevier, vol. 164(C), pages 351-365.
    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. Qi Wang & Dunbing Tang & Shipei Li & Jun Yang & Miguel A. Salido & Adriana Giret & Haihua Zhu, 2019. "An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    2. Linda Zhang & Carman K.M. Lee & Pervaiz Akhtar, 2020. "Towards customization: Evaluation of integrated sales, product, and production configuration," Post-Print hal-03276827, HAL.
    3. Shuangyao Zhao & Qiang Zhang & Zhanglin Peng & Yu Fan, 2020. "Integrating customer requirements into customized product configuration design based on Kano’s model," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 597-613, March.
    4. Chunming Xu & Xiaojie Liu & Chenchen Wu & Baiyun Yuan, 2020. "Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations," Energies, MDPI, vol. 13(4), pages 1-20, February.
    5. Zhang, Linda L. & Lee, Carman K.M. & Akhtar, Pervaiz, 2020. "Towards customization: Evaluation of integrated sales, product, and production configuration," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Qi Wang & Peipei Qi & Shipei Li, 2021. "A Concurrence Optimization Model for Low-Carbon Product Family Design and the Procurement Plan of Components under Uncertainty," Sustainability, MDPI, vol. 13(19), pages 1-22, September.
    7. Ziao Zhou & Yuan Li & Yongli Zhang, 2023. "Carbon Offsetting-Driven Multi-Actor Low-Carbon Collaborative Evolutionary Game Analysis," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    8. Dong Yang & Jia Li & Bill Wang & Yong-ji Jia, 2020. "Module-Based Product Configuration Decisions Considering Both Economical and Carbon Emission-Related Environmental Factors," Sustainability, MDPI, vol. 12(3), pages 1-13, February.

    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. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    2. Felix T.S. Chan & Nan Li & S.H. Chung & Mozafar Saadat, 2017. "Management of sustainable manufacturing systems-a review on mathematical problems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1210-1225, February.
    3. Maiyar, Lohithaksha M. & Thakkar, Jitesh J., 2019. "Modelling and analysis of intermodal food grain transportation under hub disruption towards sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 281-297.
    4. Marcela Marçal Alves Pinto & João Luiz Kovaleski & Rui Tadashi Yoshino & Regina Negri Pagani, 2019. "Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method," Sustainability, MDPI, vol. 11(12), pages 1-33, June.
    5. Fioretti, Guido, 2009. "From men and machines to the organizational learning curve," MPRA Paper 19392, University Library of Munich, Germany.
    6. Mohamad Darayi & Kash Barker & Joost R. Santos, 2017. "Component Importance Measures for Multi-Industry Vulnerability of a Freight Transportation Network," Networks and Spatial Economics, Springer, vol. 17(4), pages 1111-1136, December.
    7. Subhani, Muhammad Imtiaz & Hasan, Syed Akif & Osman, Ms. Amber, 2012. "Impact of Organization Culture on Promoting Green Supply Chain," MPRA Paper 45090, University Library of Munich, Germany.
    8. Meng, Xiaoge & Yao, Zhong & Nie, Jiajia & Zhao, Yingxue & Li, Zenglu, 2018. "Low-carbon product selection with carbon tax and competition: Effects of the power structure," International Journal of Production Economics, Elsevier, vol. 200(C), pages 224-230.
    9. Amir Abbas Shojaie & Sepideh Babaie & Emel Sayah & Davood Mohammaditabar, 2018. "Analysis and Prioritization of Green Health Suppliers Using Fuzzy ELECTRE Method with a Case Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 39-52, March.
    10. Zhi-Long Chen & Nicholas G. Hall, 2010. "The Coordination of Pricing and Scheduling Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 77-92, April.
    11. Hong Sun & Yan Li, 2023. "Optimal Acquisition and Production Policies for Remanufacturing with Quality Grading," Mathematics, MDPI, vol. 11(7), pages 1-21, March.
    12. Hammami, Ramzi & Frein, Yannick & Nouira, Imen & Albana, Abduh-Sayid, 2022. "On the interplay between local lead times, overall lead time, prices, and profits in decentralized supply chains," International Journal of Production Economics, Elsevier, vol. 243(C).
    13. Jena, Sarat Kumar & Sarmah, S.P., 2016. "Price and service co-opetiton under uncertain demand and condition of used items in a remanufacturing system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 1-21.
    14. Md. Abdul Moktadir & Towfique Rahman & Syed Mithun Ali & Nazmun Nahar & Sanjoy Kumar Paul, 2020. "Examining barriers to reverse logistics practices in the leather footwear industry," Annals of Operations Research, Springer, vol. 293(2), pages 715-746, October.
    15. Jayaswal, Sachin & Jewkes, Elizabeth & Ray, Saibal, 2011. "Product differentiation and operations strategy in a capacitated environment," European Journal of Operational Research, Elsevier, vol. 210(3), pages 716-728, May.
    16. Soumya Kanti Hota & Biswajit Sarkar & Santanu Kumar Ghosh, 2020. "Effects of Unequal Lot Size and Variable Transportation in Unreliable Supply Chain Management," Mathematics, MDPI, vol. 8(3), pages 1-24, March.
    17. Frota Neto, J. Quariguasi & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & van Heck, E., 2008. "Designing and evaluating sustainable logistics networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 195-208, February.
    18. Jiang, Li & Geunes, Joseph, 2006. "Impact of introducing make-to-order options in a make-to-stock environment," European Journal of Operational Research, Elsevier, vol. 174(2), pages 724-743, October.
    19. Fleischmann, M. & Hall, J.M. & Pyke, D.F., 2005. "A Dynamic Pricing Model for Coordinated Sales and Operations," ERIM Report Series Research in Management ERS-2005-074-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Stephanie Vogelgesang & Ian M. Langella & Karl Inderfurth, 2012. "How Yield Process Misspecification Affects the Solution of Disassemble-to-order Problems," FEMM Working Papers 120029, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:55:y:2017:i:12:p:3349-3373. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.