IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p1752-d494627.html
   My bibliography  Save this article

An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization

Author

Listed:
  • Ayoub Al-Zabidi

    (Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Ateekh Ur Rehman

    (Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
    Raytheon Chair for Systems Engineering (RCSE Chair), Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia)

  • Mohammed Alkahtani

    (Department of Industrial Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia
    Raytheon Chair for Systems Engineering (RCSE Chair), Advanced Manufacturing Institute, King Saud University, Riyadh 11421, Saudi Arabia)

Abstract

Worldwide business organizations realize that agility of sustainable supply-chain is a requisite need for survival in a dynamic, competitive, and unpredictable market. The contribution of this research is to explore and evaluate sustainable agility in supply chains for a dairy manufacturing organization located in Saudi Arabia. Other contributions of this research are to update the literature about the different factors contributing to achieve agile supply chain, propose conceptual framework and assessment approach incorporating the relationships between sustainable supply-chain capabilities, enablers, and attributes, and shortlisting the agility barriers and how they would facilitate manufacturing organizations’ performance. The paper presents supply chain agility evaluation approach, which covers identification of agile supply-chain capabilities and drivers. It also presents a conceptual model and a framework to define agility level and barriers within the supply-chain. In the paper, fuzzy logic approach is preferred, owing to its capability to incorporate and deal with problems involving impreciseness and vagueness phenomena. Threshold-value in this study for the case organization is set to 0.24829. The outcome of the adopted approach indicates that 21 attributes performed below the threshold value; these attributes are further categorized as agility barriers. These are the barriers within their supply chain that impact the agility-level. For the case organization, the foremost priority is to enhance maintainability and serviceability to make it flexible and inexpensive to establish an agile responsive supply chain. At the same time, it should have priority to focus on development and integration of their core competencies to deal with cross-functional and cross-enterprise issues in supply chain. For the case organization, the agility level was found “very agile,” although it is below the “extremely agile.” Thus, a study was developed to understand the behaviour of the supply chain agility and assess/evaluate it to support decision makers in order to develop a strategic solution for different organizational barriers.

Suggested Citation

  • Ayoub Al-Zabidi & Ateekh Ur Rehman & Mohammed Alkahtani, 2021. "An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:1752-:d:494627
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/1752/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/4/1752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anca-Ioana Munteanu & Nicolae Bibu & Marian Nastase & Nicoleta Cristache & Cosmin Matis, 2020. "Analysis of Practices to Increase the Workforce Agility and to Develop a Sustainable and Competitive Business," Sustainability, MDPI, vol. 12(9), pages 1-14, April.
    2. Swagatika Mishra & Chitrasen Samantra & Saurav Datta & Siba Sankar Mahapatra, 2014. "Agility appraisement framework for integrated supply chain using generalised interval-valued fuzzy set," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 16(1), pages 89-118.
    3. Ganguly, Anirban & Nilchiani, Roshanak & Farr, John V., 2009. "Evaluating agility in corporate enterprises," International Journal of Production Economics, Elsevier, vol. 118(2), pages 410-423, April.
    4. Chhabi Ram Matawale & Saurav Datta & Siba Sankar Mahapatra, 2013. "Agility appraisement and identification of agile barriers in a supply chain," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 16(4), pages 478-505.
    5. Lin, Ching-Torng & Chiu, Hero & Tseng, Yi-Hong, 2006. "Agility evaluation using fuzzy logic," International Journal of Production Economics, Elsevier, vol. 101(2), pages 353-368, June.
    6. Swafford, Patricia M. & Ghosh, Soumen & Murthy, Nagesh, 2008. "Achieving supply chain agility through IT integration and flexibility," International Journal of Production Economics, Elsevier, vol. 116(2), pages 288-297, December.
    7. Liu, Jiawen & Gong, Yeming (Yale) & Zhu, Joe & Zhang, Jinlong, 2018. "A DEA-based approach for competitive environment analysis in global operations strategies," International Journal of Production Economics, Elsevier, vol. 203(C), pages 110-123.
    8. Bottani, Eleonora, 2009. "A fuzzy QFD approach to achieve agility," International Journal of Production Economics, Elsevier, vol. 119(2), pages 380-391, June.
    9. Wu, Kuo-Jui & Tseng, Ming-Lang & Chiu, Anthony S.F. & Lim, Ming K., 2017. "Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure," International Journal of Production Economics, Elsevier, vol. 190(C), pages 96-107.
    10. Geyi, Dan’Asabe Godwin & Yusuf, Yahaya & Menhat, Masha S. & Abubakar, Tijjani & Ogbuke, Nnamdi J., 2020. "Agile capabilities as necessary conditions for maximising sustainable supply chain performance: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 222(C).
    11. Kisperska-Moron, Danuta & Swierczek, Artur, 2009. "The agile capabilities of Polish companies in the supply chain: An empirical study," International Journal of Production Economics, Elsevier, vol. 118(1), pages 217-224, March.
    12. Sukran Seker & Edmundas Kazimieras Zavadskas, 2017. "Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    13. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    14. Lin, Ching-Torng & Chiu, Hero & Chu, Po-Young, 2006. "Agility index in the supply chain," International Journal of Production Economics, Elsevier, vol. 100(2), pages 285-299, April.
    15. Jiawen Liu & Yeming Gong & Joe Zhu & Jinlong Zhang, 2018. "A DEA-based approach for competitive environment analysis in global operations strategies," Post-Print hal-02312151, HAL.
    16. Gunasekaran, Angappa & Lai, Kee-hung & Edwin Cheng, T.C., 2008. "Responsive supply chain: A competitive strategy in a networked economy," Omega, Elsevier, vol. 36(4), pages 549-564, August.
    17. Yusuf, Y. Y. & Gunasekaran, A. & Adeleye, E. O. & Sivayoganathan, K., 2004. "Agile supply chain capabilities: Determinants of competitive objectives," European Journal of Operational Research, Elsevier, vol. 159(2), pages 379-392, December.
    18. Sharifi, H. & Zhang, Z., 1999. "A methodology for achieving agility in manufacturing organisations: An introduction," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 7-22, May.
    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. Mohammed Saeed Al-Alqam & Ateekh Ur Rehman & Marwan Alsultan, 2023. "Sustainability Indexing Model for Saudi Manufacturing Organizations," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
    2. Salah Ahmed Mohamed Almoslehy & Mohammed Saad Alkahtani, 2021. "Key Approaches, Risks, and Product Performance in Managing the Development Process of Complex Products Sustainably," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    3. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.
    4. Erdinç Koç & Muhammet Burak Delibaş & Yaprak Anadol, 2022. "Environmental Uncertainties and Competitive Advantage: A Sequential Mediation Model of Supply Chain Integration and Supply Chain Agility," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    5. Roy Setiawan & Rabia Salman & Bari Galimovich Khairov & Valeriy Vasilyevich Karpov & Svetlana Dmitrievna Danshina & Lidia Vladimirovna Vasyutkina & Natalia Alekseevna Prodanova & Viacheslav Zhenzhebir, 2021. "Sustainable Closed-Loop Mask Supply Chain Network Design Using Mathematical Modeling and a Fuzzy Multi-Objective Approach," Sustainability, MDPI, vol. 13(10), pages 1-12, May.
    6. Jun-Der Leu & Larry Jung-Hsing Lee & Yi-Wei Huang & Chia-Chi Huang, 2021. "Sustainable Supply Chains: Evidence from Small and Medium-Sized Manufacturers," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    7. Hamed Nozari & Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr, 2021. "The Ideas of Sustainable and Green Marketing Based on the Internet of Everything—The Case of the Dairy Industry," Future Internet, MDPI, vol. 13(10), pages 1-18, October.

    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. Sanjai Kumar Shukla & Sushil & Manoj Kumar Sharma, 2019. "Managerial Paradox Toward Flexibility: Emergent Views Using Thematic Analysis of Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(4), pages 349-370, December.
    2. Alfalla-Luque, Rafaela & Machuca, José A.D. & Marin-Garcia, Juan A., 2018. "Triple-A and competitive advantage in supply chains: Empirical research in developed countries," International Journal of Production Economics, Elsevier, vol. 203(C), pages 48-61.
    3. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    4. El-Khalil, Raed & Mezher, Mohamad Ali, 2020. "The mediating impact of sustainability on the relationship between agility and operational performance," Operations Research Perspectives, Elsevier, vol. 7(C).
    5. Anna-Theresa Walter, 2021. "Organizational agility: ill-defined and somewhat confusing? A systematic literature review and conceptualization," Management Review Quarterly, Springer, vol. 71(2), pages 343-391, April.
    6. Abdolkarim Rahimiatani & Hamid Zare & Hamidreza Yazdani, 2018. "Increasing Organizational Agility based on Effective Meta-Organizational Parameters," Postmodern Openings, Editura Lumen, Department of Economics, vol. 9(4), pages 140-156, December.
    7. DeGroote, Sharon E. & Marx, Thomas G., 2013. "The impact of IT on supply chain agility and firm performance: An empirical investigation," International Journal of Information Management, Elsevier, vol. 33(6), pages 909-916.
    8. Shekarian, Mansoor & Reza Nooraie, Seyed Vahid & Parast, Mahour Mellat, 2020. "An examination of the impact of flexibility and agility on mitigating supply chain disruptions," International Journal of Production Economics, Elsevier, vol. 220(C).
    9. Monideepa Tarafdar & Sufian Qrunfleh, 2017. "Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 925-938, February.
    10. Muhammad Irfan & Mingzheng Wang & Naeem Akhtar, 2019. "Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view," Operations Management Research, Springer, vol. 12(3), pages 113-128, December.
    11. Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
    12. Azevedo, Susana G. & Govindan, Kannan & Carvalho, Helena & Cruz-Machado, V., 2012. "An integrated model to assess the leanness and agility of the automotive industry," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 85-94.
    13. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    14. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    15. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    16. Pinho, Celso R.A. & Pinho, Maria Luiza C.A. & Deligonul, Seyda Z. & Tamer Cavusgil, S., 2022. "The agility construct in the literature: Conceptualization and bibliometric assessment," Journal of Business Research, Elsevier, vol. 153(C), pages 517-532.
    17. V. Vaishnavi & M. Suresh, 2020. "Assessing the Readiness Level of Healthcare for Implementing Agility Using Fuzzy Logic Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 163-189, June.
    18. Geyi, Dan’Asabe Godwin & Yusuf, Yahaya & Menhat, Masha S. & Abubakar, Tijjani & Ogbuke, Nnamdi J., 2020. "Agile capabilities as necessary conditions for maximising sustainable supply chain performance: An empirical investigation," International Journal of Production Economics, Elsevier, vol. 222(C).
    19. Grilec Kaurić, Alica & Miočević, Dario & Mikulić, Josip, 2014. "Dynamic Capabilities and Firm Effectiveness: The Mediating Role of Supply Chain Performance," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Innovative Methods in Logistics and Supply Chain Management: Current Issues and Emerging Practices. Proceedings of the Hamburg International Conferenc, volume 19, pages 391-412, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    20. Sasan Torabzadeh Khorasani, 2018. "A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 239-253, September.

    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:13:y:2021:i:4:p:1752-:d:494627. 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.