Skip to main content
Top
Published in: Information Systems Frontiers 4/2018

31-08-2017

Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach

Authors: Afshin Kamyabniya, M. M. Lotfi, Mohsen Naderpour, Yuehwern Yih

Published in: Information Systems Frontiers | Issue 4/2018

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Resource sharing, as a coordination mechanism, can mitigate disruptions in supply and changes in demand. It is particularly crucial for platelets because they have a short lifespan and need to be transferred and allocated within a limited time to prevent waste or shortages. Thus, a coordinated model comprised of a mixed vertical-horizontal structure, for the logistics of platelets, is proposed for disaster relief operations in the response phase. The aim of this research is to reduce the wastage and shortage of platelets due to their critical role in wound healing. We present a bi-objective location-allocation robust possibilistic programming model for designing a two-layer coordinated organization strategy for multi-type blood-derived platelets under demand uncertainty. Computational results, derived using a heuristic ε-constraint algorithm, are reported and discussed to show the applicability of the proposed model. The experimental results indicate that surpluses and shortages in platelets remarkably declined following instigation of a coordinated disaster relief operation.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Appendix
Available only for authorised users
Literature
go back to reference Abounacer, R., Rekik, M., & Renaud, J. (2014). An exact solution approach for multi-objective location-transportation problem for disaster response. Computers & Operation Research, 41, 83–93.CrossRef Abounacer, R., Rekik, M., & Renaud, J. (2014). An exact solution approach for multi-objective location-transportation problem for disaster response. Computers & Operation Research, 41, 83–93.CrossRef
go back to reference Afshar, A., & Haghani, A. (2012). Modeling integrated supply chain logistics in real-time large-scale disaster relief operations. Socio-Economic Planning Sciences, 46, 327–338.CrossRef Afshar, A., & Haghani, A. (2012). Modeling integrated supply chain logistics in real-time large-scale disaster relief operations. Socio-Economic Planning Sciences, 46, 327–338.CrossRef
go back to reference Altay, N., & Green, W. (2006). OR/MS research in disaster operation management. European Journal of Operational Research, 175, 475–493.CrossRef Altay, N., & Green, W. (2006). OR/MS research in disaster operation management. European Journal of Operational Research, 175, 475–493.CrossRef
go back to reference Balcik, B., Beamon, B. M., Krejci, C. C., Muramatsu, K. M., & Ramirez, M. (2010). Coordination in humanitarian relief chain: Practices, challenges and opportunities. International Journal of Production Economics, 126, 22–34.CrossRef Balcik, B., Beamon, B. M., Krejci, C. C., Muramatsu, K. M., & Ramirez, M. (2010). Coordination in humanitarian relief chain: Practices, challenges and opportunities. International Journal of Production Economics, 126, 22–34.CrossRef
go back to reference Barbarosoglu, G., & Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. The Journal of the Operational Research Society, 55, 43–53.CrossRef Barbarosoglu, G., & Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. The Journal of the Operational Research Society, 55, 43–53.CrossRef
go back to reference Barbarosoglu, G., Ozdamar, L., & Cevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140, 118–133.CrossRef Barbarosoglu, G., Ozdamar, L., & Cevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140, 118–133.CrossRef
go back to reference Ben-Tal, A., Chung, B. D., Mandala, S. R., & Yao, T. (2011). Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains. Transportation Research Part B, 45, 1177–1189.CrossRef Ben-Tal, A., Chung, B. D., Mandala, S. R., & Yao, T. (2011). Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains. Transportation Research Part B, 45, 1177–1189.CrossRef
go back to reference Bozorgi-Amiri, A., Jabalameli, M. S., & Al-e-Hashem, S. M. J. M. (2013). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum, 35(4), 905–933.CrossRef Bozorgi-Amiri, A., Jabalameli, M. S., & Al-e-Hashem, S. M. J. M. (2013). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum, 35(4), 905–933.CrossRef
go back to reference Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46, 4–13.CrossRef Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46, 4–13.CrossRef
go back to reference Chung, Y. T., Erhun, F., & Kraft, T. (2014). Improving Standford blood Center's platelets supply chain. New Jersey: Pearson Education, Inc.. Chung, Y. T., Erhun, F., & Kraft, T. (2014). Improving Standford blood Center's platelets supply chain. New Jersey: Pearson Education, Inc..
go back to reference Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141, 561–573.CrossRef Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141, 561–573.CrossRef
go back to reference Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229, 261–275.CrossRef Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229, 261–275.CrossRef
go back to reference Gunpinar, S., & Centeno, G. (2015). Stochastic integer programming models for reducing wastage and shortage of bloods at hospitals. Computers & Operations Research, 54, 129–141.CrossRef Gunpinar, S., & Centeno, G. (2015). Stochastic integer programming models for reducing wastage and shortage of bloods at hospitals. Computers & Operations Research, 54, 129–141.CrossRef
go back to reference Hess, J. R., & Thomas, M. J. G. (2003). Blood use in war and disaster: Lessons from the past century. Transfusion, 43, 1622–1633.CrossRef Hess, J. R., & Thomas, M. J. G. (2003). Blood use in war and disaster: Lessons from the past century. Transfusion, 43, 1622–1633.CrossRef
go back to reference Huang, K., Jiang, Y., Yuan, Y., & Lindu, Z. (2015). Modeling multiple humanitarian objectives in emergency response to large-scale disasters. Transportation Research Part E, 75, 1–17.CrossRef Huang, K., Jiang, Y., Yuan, Y., & Lindu, Z. (2015). Modeling multiple humanitarian objectives in emergency response to large-scale disasters. Transportation Research Part E, 75, 1–17.CrossRef
go back to reference Jabbarzadeh, A., Fahimnia, B., & Seuring, S. (2014). Dynamic supply chain network design for the supply of blood in disaster: A robust model with real world application. Transportation Research Part E, 70, 225–244.CrossRef Jabbarzadeh, A., Fahimnia, B., & Seuring, S. (2014). Dynamic supply chain network design for the supply of blood in disaster: A robust model with real world application. Transportation Research Part E, 70, 225–244.CrossRef
go back to reference Janssen, M., Lee, J., Bharosa, N., & Cresswell, A. (2010). Advances in multi-agency disaster management: Key elements in disaster research. Information Systems Frontiers, 12(1), 1–7.CrossRef Janssen, M., Lee, J., Bharosa, N., & Cresswell, A. (2010). Advances in multi-agency disaster management: Key elements in disaster research. Information Systems Frontiers, 12(1), 1–7.CrossRef
go back to reference Li, N., Sun, M., Bi, Z., Su, Z., & Wang, C. (2014). A new methodology to support group decision-making for IoT-based emergency response systems. Information Systems Frontiers, 16(5), 953–977.CrossRef Li, N., Sun, M., Bi, Z., Su, Z., & Wang, C. (2014). A new methodology to support group decision-making for IoT-based emergency response systems. Information Systems Frontiers, 16(5), 953–977.CrossRef
go back to reference Liberatore, F., Ortuno, M., Tirado, G., Vitoriano, B., & Scaparra, M. (2014). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in humanitarian logistics. Computers & Operations Research, 42, 3–13.CrossRef Liberatore, F., Ortuno, M., Tirado, G., Vitoriano, B., & Scaparra, M. (2014). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in humanitarian logistics. Computers & Operations Research, 42, 3–13.CrossRef
go back to reference Moreno, A., Alem, D., & Ferreira, D. (2016). Heuristic approaches for the multiperiod location-transportation problem with reuse of vehicles in emergency logistics. Computers & Operations Research, 69, 79–96.CrossRef Moreno, A., Alem, D., & Ferreira, D. (2016). Heuristic approaches for the multiperiod location-transportation problem with reuse of vehicles in emergency logistics. Computers & Operations Research, 69, 79–96.CrossRef
go back to reference Nagurney, A., Masoumi, A. H., & Yu, M. (2012). Supply chain network operations management of a blood banking system with cost and risk minimization. Computational Management Science, 9(2), 205–231.CrossRef Nagurney, A., Masoumi, A. H., & Yu, M. (2012). Supply chain network operations management of a blood banking system with cost and risk minimization. Computational Management Science, 9(2), 205–231.CrossRef
go back to reference Najafi, M., Eshghi, K., & Leeuw, S. d. (2014). A dynamic dispatching and routing model to plan/re-plan logistics activities in response to an earthquake. OR Spectrum, 36, 323–356.CrossRef Najafi, M., Eshghi, K., & Leeuw, S. d. (2014). A dynamic dispatching and routing model to plan/re-plan logistics activities in response to an earthquake. OR Spectrum, 36, 323–356.CrossRef
go back to reference Norouzi, M., Ahmadi, A., Esmaeel Nezhad, A., & Ghaedi, A. (2014). Mixed integer programming of multi-objective security-constrained hydro/thermal unit commitment. Renewable and Sustainable Energy Reviews, 29, 911–923.CrossRef Norouzi, M., Ahmadi, A., Esmaeel Nezhad, A., & Ghaedi, A. (2014). Mixed integer programming of multi-objective security-constrained hydro/thermal unit commitment. Renewable and Sustainable Energy Reviews, 29, 911–923.CrossRef
go back to reference Onur Mete, H., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126, 76–84.CrossRef Onur Mete, H., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126, 76–84.CrossRef
go back to reference Ozdamar, L., & Ertem, M. A. (2014). Models, solutions and enabling technologies in humanitarian logistics. European Journal of Operational Research, 244(1), 55–65.CrossRef Ozdamar, L., & Ertem, M. A. (2014). Models, solutions and enabling technologies in humanitarian logistics. European Journal of Operational Research, 244(1), 55–65.CrossRef
go back to reference Ozdamar, L., Ekinci, E., & Kucukyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operational Research, 129, 217–245.CrossRef Ozdamar, L., Ekinci, E., & Kucukyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operational Research, 129, 217–245.CrossRef
go back to reference Paul, J., & MacDonald, L. (2016). Optimal location, capacity and timing of stockpiles for improved hurricane preparedness. International Journal of Production Economics, 174, 1–50.CrossRef Paul, J., & MacDonald, L. (2016). Optimal location, capacity and timing of stockpiles for improved hurricane preparedness. International Journal of Production Economics, 174, 1–50.CrossRef
go back to reference Pishvaee, M., Razmi, J., & Torabi, S. (2012). Robust Possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Systems, 206, 1–20.CrossRef Pishvaee, M., Razmi, J., & Torabi, S. (2012). Robust Possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Systems, 206, 1–20.CrossRef
go back to reference Pradhananga, R., Mutlu, F., Pokharel, S., Holguín-Veras, J., & Seth, D. (2016). An integrated resource allocation and distribution model for pre-disaster planning. Computers & Industrial Engineering, 91, 229–238.CrossRef Pradhananga, R., Mutlu, F., Pokharel, S., Holguín-Veras, J., & Seth, D. (2016). An integrated resource allocation and distribution model for pre-disaster planning. Computers & Industrial Engineering, 91, 229–238.CrossRef
go back to reference Raju, E., & Becker, P. (2013). Multi-organizational coordination for disaster recovery: The story of post-tsunami Tamil Nadu, India. International Journal of Disaster Risk Reduction, 4, 82–91.CrossRef Raju, E., & Becker, P. (2013). Multi-organizational coordination for disaster recovery: The story of post-tsunami Tamil Nadu, India. International Journal of Disaster Risk Reduction, 4, 82–91.CrossRef
go back to reference Raju, E., & Van Niekerk, D. (2013). Intra-governmental coordination for sustainable disaster recovery: A case-study of the Eden District municipality, South Africa. International Journal of Disaster Risk Reduction, 4, 92–99.CrossRef Raju, E., & Van Niekerk, D. (2013). Intra-governmental coordination for sustainable disaster recovery: A case-study of the Eden District municipality, South Africa. International Journal of Disaster Risk Reduction, 4, 92–99.CrossRef
go back to reference Rossel, P. O., Herskovic, V., & Ormeno, E. (2016). Creating a family of collaborative applications for emergency management in the firefighting sub-domain. Information Systems Frontiers, 18(1), 69–84.CrossRef Rossel, P. O., Herskovic, V., & Ormeno, E. (2016). Creating a family of collaborative applications for emergency management in the firefighting sub-domain. Information Systems Frontiers, 18(1), 69–84.CrossRef
go back to reference Salmeron, J., & Apte, A. (2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19(5), 561–574.CrossRef Salmeron, J., & Apte, A. (2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19(5), 561–574.CrossRef
go back to reference Schulz, S. F., & Blecken, A. (2010). Horizontal cooperation in disaster relief logistics: Benefits and impediments. International Journal of Physical Distribution and Logistics Management, 40, 636–656.CrossRef Schulz, S. F., & Blecken, A. (2010). Horizontal cooperation in disaster relief logistics: Benefits and impediments. International Journal of Physical Distribution and Logistics Management, 40, 636–656.CrossRef
go back to reference Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E, 43, 687–709.CrossRef Sheu, J. B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E, 43, 687–709.CrossRef
go back to reference Sheu, J. B., & Pan, C. (2014). Relief supply collaboration for emergency logistics responses to large-scale disasters. Transportmetrica A: Transport Science, 11, 210–242.CrossRef Sheu, J. B., & Pan, C. (2014). Relief supply collaboration for emergency logistics responses to large-scale disasters. Transportmetrica A: Transport Science, 11, 210–242.CrossRef
go back to reference Shokar, I., Torabi, S.A., (2017). An enhanced reverse auction framework for relief procurement management. International Journal of Disaster Risk Reduction, 24, 66–80. Shokar, I., Torabi, S.A., (2017). An enhanced reverse auction framework for relief procurement management. International Journal of Disaster Risk Reduction, 24, 66–80.
go back to reference Talaei, M., Moghaddam, B. F., Pishvaee, M., Bozorgi-Amiri, A., & Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: A numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662–673.CrossRef Talaei, M., Moghaddam, B. F., Pishvaee, M., Bozorgi-Amiri, A., & Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: A numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662–673.CrossRef
go back to reference Tofighi, S., Torabi, S., & Mansouri, S. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250(1), 239–250.CrossRef Tofighi, S., Torabi, S., & Mansouri, S. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250(1), 239–250.CrossRef
go back to reference Toner, R. W., Pizzi, L., Leas, B., Ballas, S. K., Quigley, A., & Goldfarb, N. I. (2011). Cost to hospitals of acquiring and processing blood in the US: A survey of hospital-based blood banks and transfusion services. Applied Health Economics and Health Policy, 9(1), 29–37.CrossRef Toner, R. W., Pizzi, L., Leas, B., Ballas, S. K., Quigley, A., & Goldfarb, N. I. (2011). Cost to hospitals of acquiring and processing blood in the US: A survey of hospital-based blood banks and transfusion services. Applied Health Economics and Health Policy, 9(1), 29–37.CrossRef
go back to reference Wang, L., Song, J., & Shi, L. (2015). Dynamic emergency logistics planning: Models and heuristic algorithm. Optimization Letters, 9(8), 1533–1552.CrossRef Wang, L., Song, J., & Shi, L. (2015). Dynamic emergency logistics planning: Models and heuristic algorithm. Optimization Letters, 9(8), 1533–1552.CrossRef
go back to reference Yi, W., & Ozdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179, 1177–1193.CrossRef Yi, W., & Ozdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179, 1177–1193.CrossRef
go back to reference Zahiri, B., Tavakkoli-Moghaddam, R., & Pishvaee, M. (2014). A robust possibilistic programming approach to multi period location-allocation of organ transplant centers under uncertainty. Computers & Industrial Engineering, 74, 139–148.CrossRef Zahiri, B., Tavakkoli-Moghaddam, R., & Pishvaee, M. (2014). A robust possibilistic programming approach to multi period location-allocation of organ transplant centers under uncertainty. Computers & Industrial Engineering, 74, 139–148.CrossRef
Metadata
Title
Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach
Authors
Afshin Kamyabniya
M. M. Lotfi
Mohsen Naderpour
Yuehwern Yih
Publication date
31-08-2017
Publisher
Springer US
Published in
Information Systems Frontiers / Issue 4/2018
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-017-9788-5

Other articles of this Issue 4/2018

Information Systems Frontiers 4/2018 Go to the issue

Premium Partner