A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes

R. R. Tan, K. B. Aviso, C. D. Cayamanda, A. S.F. Chiu, M. A.B. Promentilla, A. T. Ubando, K. D.S. Yu

研究成果: Article同行評審

25 引文 斯高帕斯(Scopus)

摘要

Industrial complexes may be subject to significant risk of cascading failure caused by various disruptions and emerging economies are potentially more susceptible to the impacts as less established policies are in place to deal with these issues. In particular, there is a need to develop adaptation strategies to ensure the resilience of industrial activities to various perturbations that may result from climate change. The inherent complexity of such systems makes decision-making for risk management a non-trivial task that is best facilitated with the aid of mathematical models. Enterprise input–output models have been used extensively to model production systems at different scales. In this work, a fuzzy linear programming enterprise input–output model is developed to determine optimal adjustments in production levels of multi-product systems when a crisis is induced by a loss of resource inputs. The model allows for adjustments that are equitable for different decision-makers that may comprise an industrial complex or a supply chain. Capabilities of the model are illustrated with a case study on the effect of water shortage on an aluminum production system.

原文English
頁(從 - 到)410-418
頁數9
期刊International Journal of Production Economics
181
DOIs
出版狀態Published - 2016 十一月 1

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

指紋 深入研究「A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes」主題。共同形成了獨特的指紋。

引用此