IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

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

Listed author(s):
  • 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.
Registered author(s):

    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.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

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

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 181 (2016)
    Issue (Month): PB ()
    Pages: 262-272

    as
    in new window

    Handle: RePEc:eee:proeco:v:181:y:2016:i:pb:p:262-272
    DOI: 10.1016/j.ijpe.2016.07.011
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijpe

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    10. 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)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.