IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v181y2016ipbp410-418.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092552731500393X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2015.10.012?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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).
    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. 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).
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baghersad, Milad & Zobel, Christopher W., 2015. "Economic impact of production bottlenecks caused by disasters impacting interdependent industry sectors," International Journal of Production Economics, Elsevier, vol. 168(C), pages 71-80.
    2. Jyoti Dhingra Darbari & Devika Kannan & Vernika Agarwal & P. C. Jha, 2019. "Fuzzy criteria programming approach for optimising the TBL performance of closed loop supply chain network design problem," Annals of Operations Research, Springer, vol. 273(1), pages 693-738, February.
    3. Luthra, Sunil & Garg, Dixit & Haleem, Abid, 2015. "An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective," Resources Policy, Elsevier, vol. 46(P1), pages 37-50.
    4. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    5. Aviso, Kathleen B. & Tan, Raymond R., 2018. "Fuzzy P-graph for optimal synthesis of cogeneration and trigeneration systems," Energy, Elsevier, vol. 154(C), pages 258-268.
    6. Wei Shan & Jingyi Wang, 2018. "Mapping the Landscape and Evolutions of Green Supply Chain Management," Sustainability, MDPI, vol. 10(3), pages 1-23, February.
    7. Dayal S. Prasad & Rudra P. Pradhan & Kunal Gaurav & Partha P. Chatterjee & Inderpal Kaur & Saurav Dash & Sagar Nayak, 2018. "Analysing the critical success factors for implementation of sustainable supply chain management: an Indian case study," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(1), pages 3-25, March.
    8. Yazan, Devrim Murat, 2016. "Constructing joint production chains: An enterprise input-output approach for alternative energy use," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 38-52.
    9. 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).
    10. 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.
    11. Ilaria Zambon & Andrea Colantoni & Massimo Cecchini & Enrico Maria Mosconi, 2018. "Rethinking Sustainability within the Viticulture Realities Integrating Economy, Landscape and Energy," Sustainability, MDPI, vol. 10(2), pages 1-13, January.
    12. Maiyar, Lohithaksha M. & Thakkar, Jitesh J., 2019. "Modelling and analysis of intermodal food grain transportation under hub disruption towards sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 281-297.
    13. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.
    14. Yazan, Devrim Murat & Mandras, Giovanni & Garau, Giorgio, 2017. "Environmental and economic sustainability of integrated production in bio-refineries: The thistle case in Sardinia," Renewable Energy, Elsevier, vol. 102(PB), pages 349-360.
    15. Letmathe, Peter & Wagner, Sandra, 2018. "“Messy” marginal costs: Internal pricing of environmental aspects on the firm level," International Journal of Production Economics, Elsevier, vol. 201(C), pages 41-52.
    16. Mastrocinque, Ernesto & Ramírez, F. Javier & Honrubia-Escribano, Andrés & Pham, Duc T., 2022. "Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    17. Nihan Kabadayı, 2020. "An Integrated Fuzzy DEMATEL and Intuitionistic Fuzzy TOPSIS Method to Evaluate Sustainable Suppliers," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(2), pages 201-226, December.
    18. Andrzej Lis & Agata Sudolska & Mateusz Tomanek, 2020. "Mapping Research on Sustainable Supply-Chain Management," Sustainability, MDPI, vol. 12(10), pages 1-26, May.
    19. Martins, C.L. & Melo, M.T. & Pato, M.V., 2019. "Redesigning a food bank supply chain network in a triple bottom line context," International Journal of Production Economics, Elsevier, vol. 214(C), pages 234-247.
    20. Martins, C. L. & Melo, Teresa & Pato, Margarida Vaz, 2016. "Redesigning a food bank supply chain network, Part I: Background and mathematical formulation," Technical Reports on Logistics of the Saarland Business School 10, Saarland University of Applied Sciences (htw saar), Saarland Business School.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:181:y:2016:i:pb:p:410-418. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.