IDEAS home Printed from https://ideas.repec.org/p/ags/ifma05/24228.html
   My bibliography  Save this paper

Testing a Performance Measurement Framework for Agri-Food Supply Chains

Author

Listed:
  • Aramyan, Lusine H.
  • Oude Lansink, Alfons G.J.M.
  • van Kooten, Olaf

Abstract

Measurement of entire supply chain performance is an important issue, because it allows for "tracking and tracing" of efficacy and efficiency failures and leads to more informed decision-making with regards to chain organization. The ultimate aim of implementing a performance measurement system is to improve the performance of the organization. If supply chains can get their performance measurement right, the data they generate will tell them where they are, how they are doing, and where they are going. The choice of appropriate supply chain performance indicators is rather complicated due to presence of multiple inputs and multiple outputs in the system. This issue becomes even more problematic in the field of food and agribusiness due to specific characteristics of agri-food supply chains. These difficulties require a shift in the focus of performance evaluation and benchmarking from characterising performance in terms of single measures to evaluating performance in a multidimensional systems perspective. Efforts as well as progress have been made in this area but supply chain performance measurement received little attention in the field of food and agribusiness. This paper presents a conceptual framework for selection performance measurement indicators for agri-food supply chain. Four main categories of performance measures are identified as necessary components in agri-food supply chain performance measurement system. Each category contains set of performance indicators. Case study research has been designed in Dutch tomato supply chain to test the proposed conceptual framework.

Suggested Citation

  • Aramyan, Lusine H. & Oude Lansink, Alfons G.J.M. & van Kooten, Olaf, 2005. "Testing a Performance Measurement Framework for Agri-Food Supply Chains," 15th Congress, Campinas SP, Brazil, August 14-19, 2005 24228, International Farm Management Association.
  • Handle: RePEc:ags:ifma05:24228
    DOI: 10.22004/ag.econ.24228
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/24228/files/cp05ar01.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.24228?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Klaas Calker & Paul Berentsen & Gerard Giesen & Ruud Huirne, 2005. "Identifying and ranking attributes that determine sustainability in Dutch dairy farming," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 22(1), pages 53-63, March.
    2. 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.
    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. Shingo Yoshida & Hironori Yagi, 2021. "Long-Term Development of Urban Agriculture: Resilience and Sustainability of Farmers Facing the Covid-19 Pandemic in Japan," Sustainability, MDPI, vol. 13(8), pages 1-23, April.
    2. 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.
    3. Katarina Arvidsson Segerkvist & Helena Hansson & Ulf Sonesson & Stefan Gunnarsson, 2021. "A Systematic Mapping of Current Literature on Sustainability at Farm-Level in Beef and Lamb Meat Production," Sustainability, MDPI, vol. 13(5), pages 1-14, February.
    4. 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.
    5. 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.
    6. Kik, M.C. & Claassen, G.D.H. & Meuwissen, M.P.M. & Smit, A.B. & Saatkamp, H.W., 2021. "Actor analysis for sustainable soil management – A case study from the Netherlands," Land Use Policy, Elsevier, vol. 107(C).
    7. 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.
    8. 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.
    9. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:73-91 is not listed on IDEAS
    10. Harvey James, 2006. "Sustainable agriculture and free market economics: Finding common ground in Adam Smith," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 23(4), pages 427-438, December.
    11. 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.
    12. 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.
    13. Holzapfel, Andreas & Potoczki, Tobias & Kuhn, Heinrich, 2023. "Designing the breadth and depth of distribution networks in the retail trade," International Journal of Production Economics, Elsevier, vol. 257(C).
    14. Chen, Chen-Tung & Huang, Sue-Fen, 2006. "Order-fulfillment ability analysis in the supply-chain system with fuzzy operation times," International Journal of Production Economics, Elsevier, vol. 101(1), pages 185-193, May.
    15. Jędrzej Charłampowicz, 2018. "Supply Chain Efficiency On The Maritime Container Shipping Markets – Selected Issues," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 357-368.
    16. Simon R. Swaffield & Robert C. Corry & Paul Opdam & Wendy McWilliam & Jørgen Primdahl, 2019. "Connecting business with the agricultural landscape: business strategies for sustainable rural development," Business Strategy and the Environment, Wiley Blackwell, vol. 28(7), pages 1357-1369, November.
    17. 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.
    18. Zhou, Na & Su, Hui & Wu, Qiaosheng & Hu, Shougeng & Xu, Deyi & Yang, Danhui & Cheng, Jinhua, 2022. "China's lithium supply chain: Security dynamics and policy countermeasures," Resources Policy, Elsevier, vol. 78(C).
    19. Fleisch, Elgar & Tellkamp, Christian, 2005. "Inventory inaccuracy and supply chain performance: a simulation study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 95(3), pages 373-385, March.
    20. van Calker, K.J. & Berentsen, P.B.M. & de Boer, I.J.M. & Giesen, G.W.J. & Huirne, R.B.M., 2007. "Modelling worker physical health and societal sustainability at farm level: An application to conventional and organic dairy farming," Agricultural Systems, Elsevier, vol. 94(2), pages 205-219, May.
    21. Olivares-Benitez, Elias & Ríos-Mercado, Roger Z. & González-Velarde, José Luis, 2013. "A metaheuristic algorithm to solve the selection of transportation channels in supply chain design," International Journal of Production Economics, Elsevier, vol. 145(1), pages 161-172.

    More about this item

    Keywords

    Agribusiness; Industrial Organization;

    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:ags:ifma05:24228. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/ifmaaea.html .

    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.