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Multi‐objective optimization for facilities management


  • Willem K. Brauers


The main point of this article is to present in a short text all aspects of Multi ‐ Objective Optimization for Facilities Management, so to say from the cradle until the grave. Additionally, the combination of Multi ‐ Objective Optimization with Nominal Methods and Scenario Writing represents an innovation. It is also stated that all stakeholders interested in the issue, instead of one decision maker, have to be involved. First, desk research will discover all the surrounding conditions of the issue under consideration. Therefore, during a period of creative thinking in a nominal exercise all the main influencing events are recorded and finally ranked. From this information, scenarios for the future of the facilities sector are deduced. On basis of all these data, objectives and alternatives are simulated. A Multi ‐ Objective Optimization for the facilities sector is made possible by two methods: an additive method with ratios and the application of Reference Point Theory. Automatically, using these methods, all objectives are normalized to dimensionless numbers between zero and one. Nevertheless, a problem of importance for each objective may remain. Therefore, two methods are proposed. First, weights are granted in a nonlinear way. Secondly, an objective becomes more important by introducing different attributes for the same objective. The latter method seems to be more refined. In this way, a final ranking of the alternatives for the fulfillment of the objectives is obtained.

Suggested Citation

  • Willem K. Brauers, 2004. "Multi‐objective optimization for facilities management," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 5(4), pages 173-182, November.
  • Handle: RePEc:taf:jbemgt:v:5:y:2004:i:4:p:173-182
    DOI: 10.1080/16111699.2004.9636081

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    Cited by:

    1. Willem Karel M. Brauers & Romualdas Ginevičius & Askoldas Podviezko, 2014. "Development of a Methodology of Evaluation of Financial Stability of Commercial Banks," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(3), pages 349-367, June.
    2. Li, Yaxin & Ding, Yuxin & Guo, Yuliang & Cui, Haizhou & Gao, Haiyi & Zhou, Ziyu & (Aaron) Zhang, Nanbo & Zhu, Siyao & Chen, Faan, 2023. "An integrated decision model with reliability to support transport safety system analysis," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    3. Willem Brauers, 2013. "Multi-objective seaport planning by MOORA decision making," Annals of Operations Research, Springer, vol. 206(1), pages 39-58, July.
    4. Gaffeo Edoardo & Gobbi Lucio, 2021. "Achieving financial stability during a liquidity crisis: a multi-objective approach," Risk Management, Palgrave Macmillan, vol. 23(1), pages 48-74, June.

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