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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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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Yazan, Devrim Murat & Claudio Garavelli, A. & Messeni Petruzzelli, Antonio & Albino, Vito, 2011. "The effect of spatial variables on the economic and environmental performance of bioenergy production chains," International Journal of Production Economics, Elsevier, vol. 131(1), pages 224-233, May.
    3. Walter Isard & Thomas Vietorisz, 1955. "Industrial Complex Analysis And Regional Development," Papers in Regional Science, Wiley Blackwell, vol. 1(1), pages 227-247, January.
    4. 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.
    5. Sai Liang & Lei Shi & Tianzhu Zhang, 2011. "Achieving Dewaterization in Industrial Parks," Journal of Industrial Ecology, Yale University, vol. 15(4), pages 597-613, August.
    6. Yazan, Devrim Murat & Garavelli, A. Claudio & Petruzzelli, Antonio Messeni & Albino, Vito, 2011. "Corrigendum to "The effect of spatial variables on the economic and environmental performance of bioenergy production chains" [Int. J. Prod. Econ. 131 (2011) 224-233]," International Journal of Production Economics, Elsevier, vol. 132(2), pages 328-328, August.
    7. Albino, Vito & Izzo, Carmen & Kuhtz, Silvana, 2002. "Input-output models for the analysis of a local/global supply chain," International Journal of Production Economics, Elsevier, vol. 78(2), pages 119-131, July.
    8. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    9. Tan, Raymond R. & Cayamanda, Christina D. & Aviso, Kathleen B., 2014. "P-graph approach to optimal operational adjustment in polygeneration plants under conditions of process inoperability," Applied Energy, Elsevier, vol. 135(C), pages 402-406.
    10. Kasivisvanathan, Harresh & Barilea, Ivan Dale U. & Ng, Denny K.S. & Tan, Raymond R., 2013. "Optimal operational adjustment in multi-functional energy systems in response to process inoperability," Applied Energy, Elsevier, vol. 102(C), pages 492-500.
    11. Bonney, Maurice & Jaber, Mohamad Y., 2013. "Developing an input–output activity matrix (IOAM) for environmental and economic analysis of manufacturing systems and logistics chains," International Journal of Production Economics, Elsevier, vol. 143(2), pages 589-597.
    12. Hayami, Hitoshi & Nakamura, Masao & Nakamura, Alice O., 2015. "Economic performance and supply chains: The impact of upstream firms׳ waste output on downstream firms׳ performance in Japan," International Journal of Production Economics, Elsevier, vol. 160(C), pages 47-65.
    13. Barker, Kash & Santos, Joost R., 2010. "Measuring the efficacy of inventory with a dynamic input-output model," International Journal of Production Economics, Elsevier, vol. 126(1), pages 130-143, July.
    14. Wu, Kuo-Jui & Liao, Ching-Jong & Tseng, Ming-Lang & Chiu, Anthony S.F., 2015. "Exploring decisive factors in green supply chain practices under uncertainty," International Journal of Production Economics, Elsevier, vol. 159(C), pages 147-157.
    15. Evans, Annette & Strezov, Vladimir & Evans, Tim J., 2009. "Assessment of sustainability indicators for renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1082-1088, June.
    16. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    17. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2008. "Climate Change and Economic Growth: Evidence from the Last Half Century," NBER Working Papers 14132, National Bureau of Economic Research, Inc.
    18. Sarkar, Sourish & Kumar, Sanjay, 2015. "A behavioral experiment on inventory management with supply chain disruption," International Journal of Production Economics, Elsevier, vol. 169(C), pages 169-178.
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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. 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).
    4. 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.
    5. 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).
    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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