IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i10p4323-d362732.html
   My bibliography  Save this article

Towards a Pro-Silience Framework: A Literature Review on Quantitative Modelling of Resilient 3PL Supply Chain Network Designs

Author

Listed:
  • Evangelos Gkanatsas

    (Kuehne + Nagel Management AG, 8834 Schindellegi, Switzerland)

  • Harold Krikke

    (Faculty of Management, Science and Technology, Open University of the Netherlands, Valkenburgerweg 177, 6419 AT Heerlen, The Netherlands)

Abstract

The increasingly dynamic and volatile market environment has elevated the importance of handling operational risks in supply chain networks. Also, black swan risks are constantly evolving and can strike from almost anywhere, including natural disaster, cyber risk, or viruses. As more companies are outsourcing their logistics to third-party logistics (3PL), at the same time, supply chain risks and uncertainties are also shifted to 3PLs. A 3PL’s supply chain network capability to assure continuity can be expressed in terms of resilience, i.e., the ability of sensing and responding to disturbances or threats. Operations research/management science (OR/MS) methods have been widely applied in supply chain management. The objective of this paper is to look into research regarding the development of resilient 3PL supply chain network designs through the utilization of OR/MS methods. After extensive literature review, a so called pro-silience framework is developed aiming at improving resilience from a 3PL perspective maintaining or increasing its competitive advantage during and after major disruptions, yet also maintain competitiveness under normal operating conditions. Additionally, the framework offers insights into topics for future research.

Suggested Citation

  • Evangelos Gkanatsas & Harold Krikke, 2020. "Towards a Pro-Silience Framework: A Literature Review on Quantitative Modelling of Resilient 3PL Supply Chain Network Designs," Sustainability, MDPI, vol. 12(10), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4323-:d:362732
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/10/4323/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/10/4323/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hsiao, H.I. & Kemp, R.G.M. & van der Vorst, J.G.A.J. & (Onno) Omta, S.W.F., 2010. "A classification of logistic outsourcing levels and their impact on service performance: Evidence from the food processing industry," International Journal of Production Economics, Elsevier, vol. 124(1), pages 75-86, March.
    2. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    3. N. N. Taleb & R. Douady, 2013. "Mathematical definition, mapping, and detection of (anti)fragility," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1677-1689, November.
    4. Govindan, Kannan & Chaudhuri, Atanu, 2016. "Interrelationships of risks faced by third party logistics service providers: A DEMATEL based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 177-195.
    5. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    6. Sonia Irshad Mari & Young Hae Lee & Muhammad Saad Memon, 2014. "Sustainable and Resilient Supply Chain Network Design under Disruption Risks," Sustainability, MDPI, vol. 6(10), pages 1-21, September.
    7. Rajagopal, 2012. "Decision Making," Palgrave Macmillan Books, in: Darwinian Fitness in the Global Marketplace, chapter 7, pages 191-224, Palgrave Macmillan.
    8. David Simchi-Levi & Nikolaos Trichakis & Peter Yun Zhang, 2019. "Designing Response Supply Chain Against Bioattacks," Operations Research, INFORMS, vol. 67(5), pages 1246-1268, September.
    9. Pfohl, Hans-Christian & Gallus, Philipp & Thomas, David, 2011. "Interpretive structural modeling of supply chain risks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 55230, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Cruijssen, F., 2006. "Horizontal cooperation in transport and logistics," Other publications TiSEM ab6dbe68-aebc-4b03-8eea-d, Tilburg University, School of Economics and Management.
    11. Leung, Lawrence C. & Wong, Wai Hung & Hui, Yer Van & Wan, Yulai, 2013. "Managing third-party logistics under uncertainty: A decision scheme and managerial implications," International Journal of Production Economics, Elsevier, vol. 145(2), pages 630-644.
    12. Gunasekaran, Angappa & Irani, Zahir & Choy, King-Lun & Filippi, Lionel & Papadopoulos, Thanos, 2015. "Performance measures and metrics in outsourcing decisions: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 161(C), pages 153-166.
    13. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    14. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    15. M. P. M. Hendriks & D. Armbruster & M. Laumanns & E. Lefeber & J. T. Udding, 2012. "Design Of Robust Distribution Networks Run By Third Party Logistics Service Providers," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1-23.
    16. Mari, Sonia Irshad & Lee, Young Hae & Memon, Muhammad Saad & Cho, Su Yeon, 2014. "A Three-level Sustainable and Resilient Supply Chain Network Design under Disruption," MPRA Paper 58228, University Library of Munich, Germany.
    17. Huo, Baofeng & Ye, Yuxiao & Zhao, Xiande, 2015. "The impacts of trust and contracts on opportunism in the 3PL industry: The moderating role of demand uncertainty," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 160-170.
    18. Pourya Pourhejazy & Oh Kyoung Kwon, 2016. "The New Generation of Operations Research Methods in Supply Chain Optimization: A Review," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    19. Iris, Çağatay & Christensen, Jonas & Pacino, Dario & Ropke, Stefan, 2018. "Flexible ship loading problem with transfer vehicle assignment and scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 113-134.
    20. Yanyan Yang & Shenle Pan & Eric Ballot, 2017. "Freight Transportation Resilience Enabled by Physical Internet," Post-Print hal-01489983, HAL.
    21. Kevin P. Scheibe & Jennifer Blackhurst, 2018. "Supply chain disruption propagation: a systemic risk and normal accident theory perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 43-59, January.
    22. Dmitry Ivanov, 2017. "Simulation-based ripple effect modelling in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2083-2101, April.
    23. John R. Macdonald & Christopher W. Zobel & Steven A. Melnyk & Stanley E. Griffis, 2018. "Supply chain risk and resilience: theory building through structured experiments and simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(12), pages 4337-4355, June.
    24. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    25. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    26. Hu, Lu & Zhu, Juan Xiu & Wang, Yuan & Lee, Loo Hay, 2018. "Joint design of fleet size, hub locations, and hub capacities for third-party logistics networks with road congestion constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 568-588.
    27. Lam, Jasmine Siu Lee & Bai, Xiwen, 2016. "A quality function deployment approach to improve maritime supply chain resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 16-27.
    28. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov & Marina Ivanova, 2017. "Literature review on disruption recovery in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(20), pages 6158-6174, October.
    29. Brouer, Berit D. & Dirksen, Jakob & Pisinger, David & Plum, Christian E.M. & Vaaben, Bo, 2013. "The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping," European Journal of Operational Research, Elsevier, vol. 224(2), pages 362-374.
    30. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    31. Chan, Chi Kin & Zhou, Yan & Wong, Kar Hung, 2018. "A dynamic equilibrium model of the oligopolistic closed-loop supply chain network under uncertain and time-dependent demands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 325-354.
    32. Cai, Xiaoqiang & Chen, Jian & Xiao, Yongbo & Xu, Xiaolin & Yu, Gang, 2013. "Fresh-product supply chain management with logistics outsourcing," Omega, Elsevier, vol. 41(4), pages 752-765.
    33. Li, Yina & Xu, Xuejun & Zhao, Xiande & Yeung, Jeff Hoi Yan & Ye, Fei, 2012. "Supply chain coordination with controllable lead time and asymmetric information," European Journal of Operational Research, Elsevier, vol. 217(1), pages 108-119.
    34. Vilko, Jyri P.P. & Hallikas, Jukka M., 2012. "Risk assessment in multimodal supply chains," International Journal of Production Economics, Elsevier, vol. 140(2), pages 586-595.
    35. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    36. Chengpeng Wan & Zaili Yang & Di Zhang & Xinping Yan & Shiqi Fan, 2018. "Resilience in transportation systems: a systematic review and future directions," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 479-498, July.
    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. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

    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. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    2. El-Awady Attia & Ali Alarjani & Md. Sharif Uddin & Ahmed Farouk Kineber, 2023. "Determining the Stationary Enablers of Resilient and Sustainable Supply Chains," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    3. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    4. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    5. Maria Ghufran & Khurram Iqbal Ahmad Khan & Fahim Ullah & Wesam Salah Alaloul & Muhammad Ali Musarat, 2022. "Key Enablers of Resilient and Sustainable Construction Supply Chains: A Systems Thinking Approach," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    6. Kanokporn Kungwalsong & Abraham Mendoza & Vasanth Kamath & Subramanian Pazhani & Jose Antonio Marmolejo-Saucedo, 2022. "An application of interactive fuzzy optimization model for redesigning supply chain for resilience," Annals of Operations Research, Springer, vol. 315(2), pages 1803-1839, August.
    7. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.
    9. Maria Concetta Carissimi & Lorenzo Bruno Prataviera & Alessandro Creazza & Marco Melacini & Fabrizio Dallari, 2023. "Blurred lines: the timeline of supply chain resilience strategies in the grocery industry in the time of Covid-19," Operations Management Research, Springer, vol. 16(1), pages 80-98, March.
    10. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
    11. 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.
    12. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach," Annals of Operations Research, Springer, vol. 319(1), pages 581-607, December.
    13. Burgos, Diana & Ivanov, Dmitry, 2021. "Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    14. Muhammad Umar Farooq & Amjad Hussain & Tariq Masood & Muhammad Salman Habib, 2021. "Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    15. Shashi & Piera Centobelli & Roberto Cerchione & Myriam Ertz, 2020. "Managing supply chain resilience to pursue business and environmental strategies," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1215-1246, March.
    16. Dirzka, Christopher & Acciaro, Michele, 2022. "Global shipping network dynamics during the COVID-19 pandemic's initial phases," Journal of Transport Geography, Elsevier, vol. 99(C).
    17. Beatriz Andres & Giulio Marcucci, 2020. "A Strategies Alignment Approach to Manage Disruptive Events in Collaborative Networks," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    18. João Pires Ribeiro & Ana Paula F. D. Barbosa-Póvoa, 2023. "A responsiveness metric for the design and planning of resilient supply chains," Annals of Operations Research, Springer, vol. 324(1), pages 1129-1181, May.
    19. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    20. René Y. Glogg & Anna Timonina-Farkas & Ralf W. Seifert, 2022. "Modeling and mitigating supply chain disruptions as a bilevel network flow problem," Computational Management Science, Springer, vol. 19(3), pages 395-423, July.

    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:gam:jsusta:v:12:y:2020:i:10:p:4323-:d:362732. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.