IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v181y2016ipbp262-272.html
   My bibliography  Save this article

A recursive operations strategy model for managing sustainable chemical product development and production

Author

Listed:
  • Choy, K.L.
  • Ho, G.T.S.
  • Lee, C.K.H.
  • Lam, H.Y.
  • Cheng, Stephen W.Y.
  • Siu, Paul K.Y.
  • Pang, G.K.H.
  • Tang, Valerie
  • Lee, Jason C.H.
  • Tsang, Y.P.

Abstract

Sustainable consumption and production is a critical issue in the chemical industry due to increasing public concerns on environmental and safety issues. Organizations are urged to improve the quality of chemical products while minimizing the environmental impacts during production. In current practice, chemists and formulators have to determine both the ingredients to be used and the machine parameter settings during product development and production. Without appropriate operations strategies for managing sustainable consumption and production, a significant portion of the ingredients, toxic materials and pollutants are wasted or emitted during the trial-and-error processes when developing chemical products. In addition, inappropriate machine parameter settings, such as blending speed and blending temperature, result in inefficient energy use. Motivated by these issues, this paper describes a recursive operations strategy (ROS) model for achieving sustainable consumption and production in the chemical industry. The ROS model first identifies the business strategy, and then defines operations strategies by assessing the competitive priorities and policies with the use of artificial intelligence, including case-based reasoning and fuzzy logic, so as to manage the operations functions. The effectiveness of the model is verified by means of a case study. The results indicate that the model can provide direct guidelines for the users to develop products based on previously developed products. By so doing, the number of trials for testing various ingredient formulae can be reduced, minimizing the ingredient waste. The proposed model is also capable of achieving continuous improvement and determining the optimal production process conditions for avoiding unnecessary energy consumption.

Suggested Citation

  • Choy, K.L. & Ho, G.T.S. & Lee, C.K.H. & Lam, H.Y. & Cheng, Stephen W.Y. & Siu, Paul K.Y. & Pang, G.K.H. & Tang, Valerie & Lee, Jason C.H. & Tsang, Y.P., 2016. "A recursive operations strategy model for managing sustainable chemical product development and production," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 262-272.
  • Handle: RePEc:eee:proeco:v:181:y:2016:i:pb:p:262-272
    DOI: 10.1016/j.ijpe.2016.07.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527316301566
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2016.07.011?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. Gunasekaran, Angappa & Spalanzani, Alain, 2012. "Sustainability of manufacturing and services: Investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 140(1), pages 35-47.
    2. Gadalla, M. & Olujić, Ž. & Jobson, M. & Smith, R., 2006. "Estimation and reduction of CO2 emissions from crude oil distillation units," Energy, Elsevier, vol. 31(13), pages 2398-2408.
    3. Schoenherr, Tobias, 2012. "The role of environmental management in sustainable business development: A multi-country investigation," International Journal of Production Economics, Elsevier, vol. 140(1), pages 116-128.
    4. Govindan, K. & Jafarian, A. & Khodaverdi, R. & Devika, K., 2014. "Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food," International Journal of Production Economics, Elsevier, vol. 152(C), pages 9-28.
    5. Sun, Zeyi & Li, Lin & Bego, Andres & Dababneh, Fadwa, 2015. "Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system," International Journal of Production Economics, Elsevier, vol. 165(C), pages 112-119.
    6. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    7. Nazzal, Dima & Batarseh, Ola & Patzner, Joshua & Martin, Darren R., 2013. "Product servicing for lifespan extension and sustainable consumption: An optimization approach," International Journal of Production Economics, Elsevier, vol. 142(1), pages 105-114.
    8. Leonidou, Leonidas C. & Fotiadis, Thomas A. & Christodoulides, Paul & Spyropoulou, Stavroula & Katsikeas, Constantine S., 2015. "Environmentally friendly export business strategy: Its determinants and effects on competitive advantage and performance," International Business Review, Elsevier, vol. 24(5), pages 798-811.
    9. Dayna Simpson & Danny Samson, 2010. "Environmental strategy and low waste operations: exploring complementarities," Business Strategy and the Environment, Wiley Blackwell, vol. 19(2), pages 104-118, February.
    10. Dadhich, P. & Genovese, A. & Kumar, N. & Acquaye, A., 2015. "Developing sustainable supply chains in the UK construction industry: A case study," International Journal of Production Economics, Elsevier, vol. 164(C), pages 271-284.
    11. Steve Brown & Kate Blackmon, 2005. "Aligning Manufacturing Strategy and Business‐Level Competitive Strategy in New Competitive Environments: The Case for Strategic Resonance," Journal of Management Studies, Wiley Blackwell, vol. 42(4), pages 793-815, June.
    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. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, 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. Subramanian, Nachiappan & Gunasekaran, Angappa, 2015. "Cleaner supply-chain management practices for twenty-first-century organizational competitiveness: Practice-performance framework and research propositions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 216-233.
    2. Yusuf, Yahaya Y. & Gunasekaran, A. & Musa, Ahmed & El-Berishy, Nagham M. & Abubakar, Tijjani & Ambursa, Hafsat M., 2013. "The UK oil and gas supply chains: An empirical analysis of adoption of sustainable measures and performance outcomes," International Journal of Production Economics, Elsevier, vol. 146(2), pages 501-514.
    3. Luthra, Sunil & Mangla, Sachin Kumar & Xu, Lei & Diabat, Ali, 2016. "Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 342-349.
    4. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    5. Surajit Bag & Shivam Gupta, 2017. "Antecedents of Sustainable Innovation in Supplier Networks: A South African Experience," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 231-250, September.
    6. Chun-Che Huang & Wen-Yau Liang & Shan-Ru Yi, 2017. "Cloud-based design for disassembly to create environmentally friendly products," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1203-1218, June.
    7. Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2016. "Closed-loop supply chains: What reverse logistics factors influence performance?," International Journal of Production Economics, Elsevier, vol. 175(C), pages 35-49.
    8. Graham, Stephanie & Graham, Byron & Holt, Diane, 2018. "The relationship between downstream environmental logistics practices and performance," International Journal of Production Economics, Elsevier, vol. 196(C), pages 356-365.
    9. Jyoti Dhingra Darbari & Devika Kannan & Vernika Agarwal & P. C. Jha, 2019. "Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem," Annals of Operations Research, Springer, vol. 273(1), pages 693-738, February.
    10. Luthra, Sunil & Garg, Dixit & Haleem, Abid, 2015. "An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective," Resources Policy, Elsevier, vol. 46(P1), pages 37-50.
    11. Martins, C. L. & Melo, Teresa & Pato, Margarida Vaz, 2016. "Redesigning a food bank supply chain network, Part I: Background and mathematical formulation," Technical Reports on Logistics of the Saarland Business School 10, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    12. Sgarbossa, Fabio & Russo, Ivan, 2017. "A proactive model in sustainable food supply chain: Insight from a case study," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 596-606.
    13. Dubey, Rameshwar & Gunasekaran, Angappa & Samar Ali, Sadia, 2015. "Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for green supply chain," International Journal of Production Economics, Elsevier, vol. 160(C), pages 120-132.
    14. Silvia Amato, 2016. "East Asia Industrial Conversion Activity: Outlook at Post-Disaster Crisis Assessments with Technology Integration and Competitive Assimilation Modes," China Economic Policy Review (CEPR), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-44, June.
    15. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    16. Mohammed Taj Hejazi & Bader Al Batati & Ahmed Bahurmuz, 2023. "The Influence of Green Supply Chain Management Practices on Corporate Sustainability Performance," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    17. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Wamba, Samuel Fosso & Song, Malin, 2016. "Towards a theory of sustainable consumption and production: Constructs and measurement," Resources, Conservation & Recycling, Elsevier, vol. 106(C), pages 78-89.
    18. Surajit Bag, 2017. "Identification of Green Procurement Drivers and Their Interrelationship Using Total Interpretive Structural Modelling," Vision, , vol. 21(2), pages 129-142, June.
    19. Machado, Carla Gonçalves & Pinheiro de Lima, Edson & Gouvea da Costa, Sergio Eduardo & Angelis, Jannis Jan & Mattioda, Rosana Adami, 2017. "Framing maturity based on sustainable operations management principles," International Journal of Production Economics, Elsevier, vol. 190(C), pages 3-21.
    20. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2016. "A multi-phased QFD based optimization approach to sustainable service design," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 165-178.

    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:proeco:v:181:y:2016:i:pb:p:262-272. 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.elsevier.com/locate/ijpe .

    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.