IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v86y2003i1p47-62.html
   My bibliography  Save this article

Analysis of the structural measures of flexibility and agility using a measurement theoretical framework

Author

Listed:
  • Giachetti, Ronald E.
  • Martinez, Luis D.
  • Saenz, Oscar A.
  • Chen, Chin-Sheng

Abstract

No abstract is available for this item.

Suggested Citation

  • Giachetti, Ronald E. & Martinez, Luis D. & Saenz, Oscar A. & Chen, Chin-Sheng, 2003. "Analysis of the structural measures of flexibility and agility using a measurement theoretical framework," International Journal of Production Economics, Elsevier, vol. 86(1), pages 47-62, October.
    • Handle: RePEc:eee:proeco:v:86:y:2003:i:1:p:47-62
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(03)00004-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    2. Suwignjo, P. & Bititci, U. S & Carrie, A. S, 2000. "Quantitative models for performance measurement system," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 231-241, March.
    3. Bititci, U. S. & Suwignjo, P. & Carrie, A. S., 2001. "Strategy management through quantitative modelling of performance measurement systems," International Journal of Production Economics, Elsevier, vol. 69(1), pages 15-22, January.
    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. Rameshwar Dubey & Tripti Singh & Omprakash K. Gupta, 2015. "Impact of Agility, Adaptability and Alignment on Humanitarian Logistics Performance: Mediating Effect of Leadership," Global Business Review, International Management Institute, vol. 16(5), pages 812-831, October.
    2. 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.
    3. Sunder M, Vijaya & Ganesh, L.S., 2021. "Lean additives in a service factory: A design science approach," Technovation, Elsevier, vol. 104(C).
    4. Markolf, Samuel A. & Hoehne, Christopher & Fraser, Andrew & Chester, Mikhail V. & Underwood, B. Shane, 2019. "Transportation resilience to climate change and extreme weather events – Beyond risk and robustness," Transport Policy, Elsevier, vol. 74(C), pages 174-186.
    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. Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "A tactical supply chain planning model with multiple flexibility options: an empirical evaluation," Annals of Operations Research, Springer, vol. 244(2), pages 429-454, September.
    7. Elkins, Debra A. & Huang, Ningjian & Alden, Jeffrey M., 2004. "Agile manufacturing systems in the automotive industry," International Journal of Production Economics, Elsevier, vol. 91(3), pages 201-214, October.
    8. Rima Zitkiene & Mindaugas Deksnys, 2018. "Organizational Agility Conceptual Model," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(2), pages 115-129.
    9. Hossein Sayyadi Tooranloo & Sepideh Saghafi, 2019. "Investigating the Impact of Using Knowledge Management on Organisational Agility through Competitive Intelligence and Strategic Thinking," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-31, June.
    10. Seebacher, Gottfried & Winkler, Herwig, 2014. "Evaluating flexibility in discrete manufacturing based on performance and efficiency," International Journal of Production Economics, Elsevier, vol. 153(C), pages 340-351.
    11. Chuu, Shian-Jong, 2011. "Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain," European Journal of Operational Research, Elsevier, vol. 213(1), pages 279-289, August.
    12. Dowlatshahi, Shad & Cao, Qing, 2006. "The relationships among virtual enterprise, information technology, and business performance in agile manufacturing: An industry perspective," European Journal of Operational Research, Elsevier, vol. 174(2), pages 835-860, October.
    13. Cagno, Enrico & Accordini, Davide & Trianni, Andrea & Katic, Mile & Ferrari, Nicolò & Gambaro, Federico, 2022. "Understanding the impacts of energy efficiency measures on a Company’s operational performance: A new framework," Applied Energy, Elsevier, vol. 328(C).
    14. Germán Herrera Vidal & Jairo R. Coronado-Hernández & Claudia Minnaard, 2023. "Measuring manufacturing system complexity: a literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2865-2888, October.
    15. Cheng-Wen Lee & Hsiao Chuan Chen & Choong Leng Peng & Shu Hui Chen, 2023. "Sustainability of Taiwanese SME Family Businesses in the Succession Decision-Making Agenda," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    16. Llorens, F. Javier & Molina, Luis M. & Verdu, Antonio J., 2005. "Flexibility of manufacturing systems, strategic change and performance," International Journal of Production Economics, Elsevier, vol. 98(3), pages 273-289, December.
    17. Omar Radwan Traboulsy, 2023. "The Role of Resource Acquisition in Achieving Sustainable Competitive Performance for SMEs in an Emerging Market: A Moderated Mediation Analysis," Sustainability, MDPI, vol. 15(16), pages 1-21, August.
    18. Bauer, Daniel & Göbl, Martin, 2017. "Flexibility measurement issues in supply chain management," Journal of Applied Leadership and Management, Hochschule Kempten - University of Applied Sciences, Professional School of Business & Technology, vol. 5, pages 1-14.
    19. Sun, Zhentian & Li, Xuhong & Qiao, Wenxin & Haghani, Ali, 2013. "Entropy-based performance evaluation on institutional structures of trunk highway management—Case study in China," Transport Policy, Elsevier, vol. 27(C), pages 85-91.
    20. Marta Pérez-Pérez & Canan Kocabasoglu-Hillmer & Ana María Serrano-Bedia & María Concepción López-Fernández, 2019. "Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 1-23, December.
    21. 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.
    22. Masoud Esmaeilikia & Behnam Fahimnia & Joeseph Sarkis & Kannan Govindan & Arun Kumar & John Mo, 2016. "Tactical supply chain planning models with inherent flexibility: definition and review," Annals of Operations Research, Springer, vol. 244(2), pages 407-427, September.
    23. Adam M. Ross & Donna H. Rhodes & Daniel E. Hastings, 2008. "Defining changeability: Reconciling flexibility, adaptability, scalability, modifiability, and robustness for maintaining system lifecycle value," Systems Engineering, John Wiley & Sons, vol. 11(3), pages 246-262, September.
    24. Qin, Ruwen & Nembhard, David A., 2010. "Workforce agility for stochastically diffused conditions--A real options perspective," International Journal of Production Economics, Elsevier, vol. 125(2), pages 324-334, June.

    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. Silvestro, Rhian, 2014. "Performance topology mapping: understanding the drivers of performance," International Journal of Production Economics, Elsevier, vol. 156(C), pages 269-282.
    2. Chung, Shu-Hsing & Lee, Amy H. I. & Pearn, W. L., 2005. "Analytic network process (ANP) approach for product mix planning in semiconductor fabricator," International Journal of Production Economics, Elsevier, vol. 96(1), pages 15-36, April.
    3. Mistry, Jamshed & Sarkis, Joseph & Dhavale, Dileep G., 2014. "Multi-criteria analysis using latent class cluster ranking: An investigation into corporate resiliency," International Journal of Production Economics, Elsevier, vol. 148(C), pages 1-13.
    4. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    5. L. Berrah & V. Clivillé & J. Montmain & G. Mauris, 2019. "The Contribution concept for the control of a manufacturing multi-criteria performance improvement," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 47-58, January.
    6. Braz, Renata Gomes Frutuoso & Scavarda, Luiz Felipe & Martins, Roberto Antonio, 2011. "Reviewing and improving performance measurement systems: An action research," International Journal of Production Economics, Elsevier, vol. 133(2), pages 751-760, October.
    7. Sarkis, Joseph, 2003. "Quantitative models for performance measurement systems--alternate considerations," International Journal of Production Economics, Elsevier, vol. 86(1), pages 81-90, October.
    8. VAN CAMP, Jelle & BRAET, Johan, 2013. "Proposing a taxonomy for performance measurement systems' failures," Working Papers 2013004, University of Antwerp, Faculty of Business and Economics.
    9. Cliville, Vincent & Berrah, Lamia & Mauris, Gilles, 2007. "Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method," International Journal of Production Economics, Elsevier, vol. 105(1), pages 171-189, January.
    10. Marufuzzaman, Mohammed & Deif, Ahmed M., 2010. "A dynamic approach to determine the product flow nature in apparel supply chain network," International Journal of Production Economics, Elsevier, vol. 128(2), pages 484-495, December.
    11. da Silveira, Giovani J. C., 2005. "Improving trade-offs in manufacturing: Method and illustration," International Journal of Production Economics, Elsevier, vol. 95(1), pages 27-38, January.
    12. Idris, Nurjihan & Arshad, Fatimah Mohamed & Radam, Alias & Ali, Noor Azman, 2009. "Construct validation of supply chain management in cooperative," MPRA Paper 19483, University Library of Munich, Germany.
    13. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    14. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    15. Sajjad Aslani Khiavi & Hamid Khaloozadeh & Fahimeh Soltanian, 2021. "Suboptimal sliding manifold For nonlinear supply chain with time delay," Journal of Combinatorial Optimization, Springer, vol. 42(1), pages 151-173, July.
    16. García Cáceres, Rafael Guillermo & Aráoz Durand, Julián Arturo & Gómez, Fernando Palacios, 2009. "Integral analysis method - IAM," European Journal of Operational Research, Elsevier, vol. 192(3), pages 891-903, February.
    17. Amol Adkonkar & Anand Sharma & Pooja Arora, 2024. "Validation of Instrument Measuring the Impact of SCM Practices and SCM Agility on Competitive Advantage and Organization Performance in Indian Pharmaceutical Firms," Paradigm, , vol. 28(1), pages 65-83, June.
    18. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:73-91 is not listed on IDEAS
    19. 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.
    20. Lin Hu & Qinghai Chen & Tingting Yang & Chuanjian Yi & Jing Chen, 2024. "Visualization and Analysis of Hotspots and Trends in Seafood Cold Chain Logistics Based on CiteSpace, VOSviewer, and RStudio Bibliometrix," Sustainability, MDPI, vol. 16(15), pages 1-22, July.
    21. Deepak Bhagat & U.R. Dhar, 2014. "Relationship Dynamics in the Pineapple Supply Chain: Empirical Evidence from the Garo Hills of Meghalaya," Global Business Review, International Management Institute, vol. 15(4), pages 747-765, December.

    More about this item

    Statistics

    Access and download statistics

    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:eee:proeco:v:86:y:2003:i:1:p:47-62. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.