IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v5y2021i3p64-d634828.html
   My bibliography  Save this article

Model for Evaluating Outsourcing Logistics Companies in the COVID-19 Pandemic

Author

Listed:
  • Cheng-An Tsai

    (Department of Business Administration, Shih Chien University, Taipei 104336, Taiwan)

  • Tien-Hwa Ho

    (Department of Information Management, Yuanpei University of Medical Technology, Yuanpei St., Xiangshan District, Hsinchu City 30015, Taiwan)

  • Jyh-Shyan Lin

    (Department of Information Management, Yuanpei University of Medical Technology, Yuanpei St., Xiangshan District, Hsinchu City 30015, Taiwan)

  • Chien-Chih Tu

    (Department of Information Management, Yuanpei University of Medical Technology, Yuanpei St., Xiangshan District, Hsinchu City 30015, Taiwan)

  • Che-Wei Chang

    (Department of Recreational & Graduate, Institute of Recreational Sport Management, National Taiwan University of Sport, Taichung City 404401, Taiwan)

Abstract

The COVID-19 pandemic has severely affected the world’s manufacturing industry, particularly in terms of the continued increase in logistics costs that has led to an increase in business operating costs. This study proposes a two-stage model for evaluating the most appropriate outsourcing logistics companies for a manufacturing factory. In the first stage, a modified Delphi method was used to recruit experienced experts to determine criteria for evaluating outsourcing logistics vendors and establish a hierarchical structure. In the second stage, the analytic hierarchy process (AHP) was used to evaluate suitable logistics companies based on the hierarchical structure. Finally, a case study was conducted to demonstrate the suitability of the two-stage model for evaluating outsourcing logistics companies for reducing logistics costs while maintaining service quality. The proposed model can be used as a basis for evaluating outsourcing logistics companies.

Suggested Citation

  • Cheng-An Tsai & Tien-Hwa Ho & Jyh-Shyan Lin & Chien-Chih Tu & Che-Wei Chang, 2021. "Model for Evaluating Outsourcing Logistics Companies in the COVID-19 Pandemic," Logistics, MDPI, vol. 5(3), pages 1-15, September.
  • Handle: RePEc:gam:jlogis:v:5:y:2021:i:3:p:64-:d:634828
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/5/3/64/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/5/3/64/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. White, A. & Daniel, E.M. & Mohdzain, M., 2005. "The role of emergent information technologies and systems in enabling supply chain agility," International Journal of Information Management, Elsevier, vol. 25(5), pages 396-410.
    2. Hengameh Hadian & S. Chahardoli & Amir-Mohammad Golmohammadi & Ali Mostafaeipour, 2020. "A practical framework for supplier selection decisions with an application to the automotive sector," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2997-3014, May.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Irina Vinogradova, 2019. "Multi-Attribute Decision-Making Methods as a Part of Mathematical Optimization," Mathematics, MDPI, vol. 7(10), pages 1-21, October.
    5. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
    6. Vidal Vieira, José Geraldo & Ramos Toso, Milton & da Silva, João Eduardo Azevedo Ramos & Cabral Ribeiro, Priscilla Cristina, 2017. "An AHP-based framework for logistics operations in distribution centres," International Journal of Production Economics, Elsevier, vol. 187(C), pages 246-259.
    7. Eleonora Bottani & Piera Centobelli & Teresa Murino & Ehsan Shekarian, 2018. "A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 911-939, May.
    8. Hans Löfsten & Magnus Klofsten & Eduardo Cadorin, 2020. "Science Parks and talent attraction management: university students as a strategic resource for innovation and entrepreneurship," European Planning Studies, Taylor & Francis Journals, vol. 28(12), pages 2465-2488, December.
    9. Hsu-Lin Chen & Yi-Chung Hu & Ming-Yen Lee & Ghi-Feng Yen, 2020. "Importance of Employee Care in Corporate Social Responsibility: An AHP-Based Study from the Perspective of Corporate Commitment," Sustainability, MDPI, vol. 12(15), pages 1-15, July.
    10. Pietro Evangelista & Lodovico Santoro & Antonio Thomas, 2018. "Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000–2016," Sustainability, MDPI, vol. 10(5), pages 1-34, May.
    11. Yuan, Yang & Chu, Zhaofang & Lai, Fujun & Wu, Hao, 2020. "The impact of transaction attributes on logistics outsourcing success: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 219(C), pages 54-65.
    12. Zhu, Wenwen & Ng, Stephen C.H. & Wang, Zhiqiang & Zhao, Xiande, 2017. "The role of outsourcing management process in improving the effectiveness of logistics outsourcing," International Journal of Production Economics, Elsevier, vol. 188(C), pages 29-40.
    Full references (including those not matched with items on IDEAS)

    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. Teerasak Charoennapharat & Poti Chaopaisarn, 2022. "Factors Affecting Multimodal Transport during COVID-19: A Thai Service Provider Perspective," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
    2. Flora Kulembayeva & Aruzhan Seitkaziyeva & Rakymzhan Yelshibayev, 2022. "Economic Efficiency of Outsourcing Business Models: A Comparative Assessment," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 75-88, March.
    3. Anchal Gupta & Rajesh Kumar Singh & Sachin Kr Mangla, 2022. "Evaluation of logistics providers for sustainable service quality: Analytics based decision making framework," Annals of Operations Research, Springer, vol. 315(2), pages 1617-1664, August.
    4. Ignacio González García & Alfonso Mateos Caballero, 2021. "A Multi-Objective Bayesian Approach with Dynamic Optimization (MOBADO). A Hybrid of Decision Theory and Machine Learning Applied to Customs Fraud Control in Spain," Mathematics, MDPI, vol. 9(13), pages 1-23, June.
    5. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    6. Fatih Yiğit & Şakir Esnaf, 2021. "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1517-1528, August.
    7. Maria Björklund & Helena Forslund, 2019. "Challenges Addressed by Swedish Third-Party Logistics Providers Conducting Sustainable Logistics Business Cases," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    8. Rachele Corticelli & Margherita Pazzini & Cecilia Mazzoli & Claudio Lantieri & Annarita Ferrante & Valeria Vignali, 2022. "Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    9. Honorata Howaniec & Oleh Karyy & Adam Pawliczek, 2022. "The Role of Universities in Shaping Talents—The Case of the Czech Republic, Poland and Ukraine," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    10. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    11. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    12. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    13. Denys Yemshanov & Frank H. Koch & Yakov Ben‐Haim & Marla Downing & Frank Sapio & Marty Siltanen, 2013. "A New Multicriteria Risk Mapping Approach Based on a Multiattribute Frontier Concept," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1694-1709, September.
    14. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    15. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    16. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    17. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    18. Zhao, Xiaofei & Wang, Ping & Pal, Raktim, 2021. "The effects of agro-food supply chain integration on product quality and financial performance: Evidence from Chinese agro-food processing business," International Journal of Production Economics, Elsevier, vol. 231(C).
    19. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    20. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.

    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:jlogis:v:5:y:2021:i:3:p:64-:d:634828. 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.