IDEAS home Printed from https://ideas.repec.org/a/ags/aergaa/330609.html
   My bibliography  Save this article

Analysis of operational efficiency of a meat processing supply chain: A case study from the UAE

Author

Listed:
  • Manikas, Ioannis
  • Sundarakani, Balan
  • John, Jerin Varghese

Abstract

The purpose of this paper is to analyse the factors affecting operational efficiency for a meat processing supply chain. The paper focuses on the operations that take place in a slaughterhouse. The results obtained by testing a simulation model and the related factors mentioned are used to analyse the operational efficiency. The study takes place in the Middle East and North African (MENA) region, particularly the United Arab Emirates (UAE). The Arena Simulation software which is a discrete event simulation and automation tool developed by System Modelling has been used to develop a process simulation model of a real time slaughterhouse processes scenario along with factors such as waste disposal, and government regulation procedures that are also taken into account. The simulation model analysis shows that the current operational efficiency of the slaughterhouse processes is too low, as compared to the standard industrial operational efficiency. In the Arena based process simulation, the parameters were varied and new resource utilization was obtained. By testing the new values into the relationship it was found that the operational efficiency has improved to the initial results from 0.2193 to 0.2612. This study implies that there is room for improvement in the slaughterhouse facilities to achieve sustainability, and ecofriendliness by increasing the operational efficiency. Even though there is enough literature on operational efficiency of meat supply chain (Fattahi et al., 2013), very few researchers have focused on the slaughterhouse operations and the relevant supporting processes. Further refinement based on the factors that can affect the slaughterhouse operations needs to be studied. The data collected reflect the general aspects of the operations that are easily accessible; a study on the complete process carried out in the slaughterhouse supply chain would possibly support a better understanding of the factors and thus develop a better view of the operational efficiency of the slaughterhouse. The analysis of the operational efficiency of the slaughterhouse may improve the slaughterhouse management practices to increase the performance. The managers and strategic decision makers need to decide on the appropriate mix of factors that would contribute to the improvement of slaughterhouse’s operational performance. This study brings to light the improvement needs of the slaughterhouse facilities operate in this region in order to meet the food requirements of the consumers with utmost quality and by reducing the impact on environment which is a growing concern at present.Although few researches have studied the aspects of waste disposal, government regulation, and resource utilization of a slaughterhouse facility, this paper investigates the operational efficiency of a slaughterhouse by considering all the aforementioned aspects by creating a relationship among them which makes it a unique contribution to the meat 61 2017, Vol. 18, No. 2 AGRICULTURAL ECONOMICS REVIEW industry. This study provides an insight on the operation aspects of the slaughterhouse and the common practices carried out in this industry thereby considering the dimensions and factors that can improve the targeted operational efficiency.

Suggested Citation

  • Manikas, Ioannis & Sundarakani, Balan & John, Jerin Varghese, 2017. "Analysis of operational efficiency of a meat processing supply chain: A case study from the UAE," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 0(Issue 2), July.
  • Handle: RePEc:ags:aergaa:330609
    DOI: 10.22004/ag.econ.330609
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/330609/files/18_2_5.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.330609?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. Giancarlo Moschini & Karl D. Meilke, 1989. "Modeling the Pattern of Structural Change in U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 253-261.
    2. Lina Al Halaseh & Balan Sundarakani, 2012. "Study on quality attributes of halal food supply chain," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 4(1/2), pages 20-34.
    3. Karijn Bonne & Wim Verbeke, 2008. "Religious values informing halal meat production and the control and delivery of halal credence quality," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 25(1), pages 35-47, 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. Khushboo E-Fatima & Rasoul Khandan & Amin Hosseinian-Far & Dilshad Sarwar & Hareer Fatima Ahmed, 2022. "Adoption and Influence of Robotic Process Automation in Beef Supply Chains," Logistics, MDPI, vol. 6(3), pages 1-20, July.
    2. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.

    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. Unterschultz, James R., 2000. "New Instruments For Co-Ordination And Risk Sharing Within The Canadian Beef Industry," Project Report Series 24046, University of Alberta, Department of Resource Economics and Environmental Sociology.
    2. Goodwin, Barry K., 1992. "Forecasting Cattle Prices in the Presence of Structural Change," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 24(2), pages 11-22, December.
    3. Islam Hassouneh & Teresa Serra & José M. Gil, 2010. "Price transmission in the Spanish bovine sector: the BSE effect," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 33-42, January.
    4. Darko, Francis Addeah & Eales, James S., 2013. "Meat Demand in the US During and After the Great Recession," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150146, Agricultural and Applied Economics Association.
    5. Anastasios Xepapadeas & Hassini Habib, 1995. "An almost ideal demand system with autoregressive disturbances for dairy products in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 2(6), pages 169-173.
    6. Moschini, G. & Moro, D., 1993. "A Food demand System for Canada," Papers 1-93, Gouvernement du Canada - Agriculture Canada.
    7. Fousekis, Panos & Revell, Brian J., 2000. "Meat Demand In The Uk: A Differential Approach," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(1), pages 1-9, April.
    8. Hsu, Jane Lu, 2000. "Gradual Switching Structural Changes of Meat Consumption in Taiwan," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123663, Australian Agricultural and Resource Economics Society.
    9. Hassan, Daniel & Monier-Dilhan, Sylvette, 2009. "Mesure des changements de consommation suite à une segmentation de l’offre : l’exemple de la tomate fraîche," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(3).
    10. LaFrance, Jeffrey T. & Beatty, Timothy K. M. & Pope, Rulon D., 2004. "Building Gorman's Nest," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2ws698td, Department of Agricultural & Resource Economics, UC Berkeley.
    11. Schroeder, Ted C. & Lusk, Jayson L., 2002. "Effects of Meat Recalls on Futures Market Prices," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 31(1), pages 1-12, April.
    12. Chapda Nana, Guy & Larue, Bruno & Gervais, Jean-Philippe, 2012. "Regional integration and dynamic adjustments: Evidence from gross national product functions for Canada and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 246-264.
    13. T. Kesavan & Zuhair A. Hassan & Helen H. Jensen & Stanley R. Johnson, 1993. "Dynamics and Long-run Structure in U.S. Meat Demand," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(2), pages 139-153, July.
    14. Yeboah, Godfred & Maynard, Leigh J., 2004. "The Impact Of Bse, Fmd, And U.S. Export Promotion Expenditures On Japanese Meat Demand," 2004 Annual meeting, August 1-4, Denver, CO 19978, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Lee, Chang-Buhm & Koo, Won W. & Yang, Seung-Ryong, 1992. "Demand for Meat in Korea: Estimation and Test for Structural Change," Agricultural Economics Reports 23434, North Dakota State University, Department of Agribusiness and Applied Economics.
    16. Asche, Frank & Zhang, Dengjun, 2013. "Testing Structural Changes in the U.S. Whitefish Import Market: An Inverse Demand System Approach," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(3), pages 453-470, December.
    17. D. N. Shariff & Dahlan Abdullah & Azita Aboo Bakar & Mohd Rizaimy Shaharudin & Anderson Ngelambong, 2024. "Analysing Halal Integrity and Sustainability Nexus in an Emerging Halal Supply Chain Ecosystem (HSCE)," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(7), pages 1489-1504, July.
    18. William A. Barnett & Isaac Kalonda Kanyama, 2013. "Time-varying parameters in the almost ideal demand system and the Rotterdam model: will the best specification please stand up?," Applied Economics, Taylor & Francis Journals, vol. 45(29), pages 4169-4183, October.
    19. Rafael Cortez & Ben Senauer, 1996. "Taste Changes in the Demand for Food by Demographic Groups in the United States: A Nonparametric Empirical Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 280-289.
    20. Moschini, Giancarlo, 1991. "Testing for Preference Change in Consumer Demand: An Indirectly Separable, Semiparametric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 111-117, January.

    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:aergaa:330609. 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/etagrea.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.