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

Author

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

Abstract

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.

Suggested Citation

  • Tan, R.R. & Aviso, K.B. & Cayamanda, C.D. & Chiu, A.S.F. & Promentilla, M.A.B. & Ubando, A.T. & Yu, K.D.S., 2016. "A fuzzy linear programming enterprise input–output model for optimal crisis operations in industrial complexes," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 410-418.
    • Handle: RePEc:eee:proeco:v:181:y:2016:i:pb:p:410-418
    DOI: 10.1016/j.ijpe.2015.10.012
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    References listed on IDEAS

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    Cited by:

    1. Aviso, Kathleen B. & Marfori, Isidro Antonio V. & Tan, Raymond R. & Ubando, Aristotle T., 2020. "Optimizing abnormal operations of off-grid community utility systems with fuzzy P-graph," Energy, Elsevier, vol. 202(C).
    2. Fraccascia, Luca, 2019. "The impact of technical and economic disruptions in industrial symbiosis relationships: An enterprise input-output approach," International Journal of Production Economics, Elsevier, vol. 213(C), pages 161-174.
    3. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    4. Fraccascia, Luca & Yazan, Devrim Murat & Albino, Vito & Zijm, Henk, 2020. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation," International Journal of Production Economics, Elsevier, vol. 221(C).
    5. Caputo, Antonio C. & Kalemi, Bledar & Paolacci, Fabrizio & Corritore, Daniele, 2020. "Computing resilience of process plants under Na-Tech events: Methodology and application to sesmic loading scenarios," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    6. Aristotle T. Ubando & Isidro Antonio V. Marfori & Kathleen B. Aviso & Raymond R. Tan, 2019. "Optimal Operational Adjustment of a Community-Based Off-Grid Polygeneration Plant using a Fuzzy Mixed Integer Linear Programming Model," Energies, MDPI, vol. 12(4), pages 1-17, February.
    7. Subrata Mitra & Balram Avittathur, 2018. "Application of linear programming in optimizing the procurement and movement of coal for an Indian coal-fired power-generating company," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(3), pages 207-224, September.

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