Supply chain vulnerability assessment for manufacturing industry

被引:0
|
作者
Satyendra Kumar Sharma
Praveen Ranjan Srivastava
Ajay Kumar
Anil Jindal
Shivam Gupta
机构
[1] BITS Pilani,Department of Management
[2] Indian Institute of Management (IIM),undefined
[3] AIM Research Center on Quantitative Methods in Business,undefined
[4] EMLYON Business School,undefined
[5] Maharaja Ranjit Singh Punjab Technical University,undefined
[6] NEOMA Business School,undefined
来源
关键词
Supply chain; Vulnerability; Drivers; AHP; Sensitivity analysis;
D O I
暂无
中图分类号
学科分类号
摘要
In today's business, environment natural and manmade disasters like recent event (Covid 19) have increased the attention of practitioners and researchers to Supply chain vulnerability. Purpose of this paper is to investigate and prioritize the factors that are responsible for supply chain vulnerability. Extant literature review and interviews with the experts helped to extract 26 supply chain vulnerability factors. Further, the relative criticality of vulnerability factors is assessed by analytical hierarchy process (AHP). Critical part supplier; location of supplier; long supply chain lead times; Fixing process owners and mis-aligned incentives in supply chain are identified as the most critical factors among twenty-six vulnerability factors. Research concludes that not only long and complex supply chain but supply chain practices adopted by firms also increase supply chain vulnerability. Relative assessment of vulnerability factors enables professionals to take appropriate mitigation strategies to make the supply chains more robust. This research adds in building a model for vulnerability factors that are internal to supply chain & controllable.
引用
收藏
页码:653 / 683
页数:30
相关论文
共 50 条
  • [1] Supply chain vulnerability assessment for manufacturing industry
    Sharma, Satyendra Kumar
    Srivastava, Praveen Ranjan
    Kumar, Ajay
    Jindal, Anil
    Gupta, Shivam
    [J]. ANNALS OF OPERATIONS RESEARCH, 2023, 326 (02) : 653 - 683
  • [2] Supply chain resilience: a benchmarking model for vulnerability and capability assessment in the automotive industry
    Kaviani, Mohamad Amin
    Tavana, Madjid
    Kowsari, Fatemeh
    Rezapour, Roghayeh
    [J]. BENCHMARKING-AN INTERNATIONAL JOURNAL, 2020, 27 (06) : 1929 - 1949
  • [3] Supply Chain Performance in Electronics Manufacturing Industry
    Balfaqih, Hasan
    Yunus, Bahisham
    [J]. MECHANICAL AND MATERIALS ENGINEERING, 2014, 554 : 633 - +
  • [4] Manufacturing and supply chain management in the industry ecosystem
    Reimann, MD
    Sarkis, J
    [J]. FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING 1996, 1996, : 67 - 76
  • [5] THE INFLUENCE OF SUPPLY CHAIN COLLABORATION ON SUPPLY CHAIN PERFORMANCE FOR MALAYSIAN MANUFACTURING INDUSTRY
    Shahbaz, Muhammad Saccd
    Shaikh, Fazal Ali
    Qureshi, Muhammad Asif
    Buksh Jamali, Qadir
    Sohu, Samiullah
    [J]. JOURNAL OF ORGANIZATIONAL BEHAVIOR RESEARCH, 2019, 4 (02): : 203 - 218
  • [6] An exploratory study into manufacturing supply chain vulnerability and its drivers
    Deshpande, Sujeet
    Hudnurkar, Manoj
    Rathod, Urvashi
    [J]. BENCHMARKING-AN INTERNATIONAL JOURNAL, 2023, 30 (01) : 23 - 49
  • [7] SUPPLY CHAIN MANAGEMENT AND DISTRIBUTED MANUFACTURING IN THE AUTOMOTIVE INDUSTRY
    Schaub, Gerhard
    Krauss, Erich
    [J]. E-BUSINESS AND VIRTUAL ENTERPRISES: MANAGING BUSINESS-TO-BUSINESS COOPERATION, 2001, 56 : 251 - 258
  • [8] Supply chain management in ASEAN automotive manufacturing industry
    Laosirihongthong, Tritos
    Tan, Keah-Choon
    Adebanjo, Dotun
    [J]. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2011, 14 (05) : 317 - 333
  • [9] Performance Evaluation of Green Supply Chain in Manufacturing Industry
    Liu, Na
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS (SOLI), 2013, : 100 - 103
  • [10] Development of integrated supply chain system in manufacturing industry
    Sulaiman, S.
    Aldeehani, A.
    Alhajji, M.
    Aziz, F. A.
    [J]. JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2021, 21 (03) : 599 - 611