IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v135y2012i1p284-298.html
   My bibliography  Save this article

A framework for measuring logistics performance in the wine industry

Author

Listed:
  • Garcia, Fernanda A.
  • Marchetta, Martin G.
  • Camargo, Mauricio
  • Morel, Laure
  • Forradellas, Raymundo Q.

Abstract

Nowadays, in order for wine companies to reach a world-class standard, it is necessary to implement the industry best practices and continuously adapt their logistics processes. Through benchmarking, these enterprises can find opportunities for improvement. So far, little research in benchmarking and performance measurement has been developed for the wine industry. In this paper a logistics benchmarking framework for the wine industry is proposed. A benchmarking study considering several wineries from Mendoza (Argentina) is presented as a case study, in order to demonstrate the validity of the developed framework.

Suggested Citation

  • Garcia, Fernanda A. & Marchetta, Martin G. & Camargo, Mauricio & Morel, Laure & Forradellas, Raymundo Q., 2012. "A framework for measuring logistics performance in the wine industry," International Journal of Production Economics, Elsevier, vol. 135(1), pages 284-298.
  • Handle: RePEc:eee:proeco:v:135:y:2012:i:1:p:284-298
    DOI: 10.1016/j.ijpe.2011.08.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527311003240
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2011.08.003?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
    ---><---

    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. Hsiao, H.I. & Kemp, R.G.M. & van der Vorst, J.G.A.J. & (Onno) Omta, S.W.F., 2010. "A classification of logistic outsourcing levels and their impact on service performance: Evidence from the food processing industry," International Journal of Production Economics, Elsevier, vol. 124(1), pages 75-86, March.
    2. Lai, Kee-Hung & Ngai, E. W. T. & Cheng, T. C. E., 2004. "An empirical study of supply chain performance in transport logistics," International Journal of Production Economics, Elsevier, vol. 87(3), pages 321-331, February.
    3. Li, Gang & Yang, Hongjiao & Sun, Linyan & Sohal, Amrik S., 2009. "The impact of IT implementation on supply chain integration and performance," International Journal of Production Economics, Elsevier, vol. 120(1), pages 125-138, July.
    4. Lohman, Clemens & Fortuin, Leonard & Wouters, Marc, 2004. "Designing a performance measurement system: A case study," European Journal of Operational Research, Elsevier, vol. 156(2), pages 267-286, July.
    5. Schmidberger, Stephan & Bals, Lydia & Hartmann, Evi & Jahns, Christopher, 2009. "Ground handling services at European hub airports: Development of a performance measurement system for benchmarking," International Journal of Production Economics, Elsevier, vol. 117(1), pages 104-116, January.
    6. Xu, Jiuping & Li, Bin & Wu, Desheng, 2009. "Rough data envelopment analysis and its application to supply chain performance evaluation," International Journal of Production Economics, Elsevier, vol. 122(2), pages 628-638, December.
    7. Kojima, Mitsutoshi & Nakashima, Kenichi & Ohno, Katsuhisa, 2008. "Performance evaluation of SCM in JIT environment," International Journal of Production Economics, Elsevier, vol. 115(2), pages 439-443, October.
    8. Neely, Andy & Mills, John & Platts, Ken & Gregory, Mike & Richards, Huw, 1996. "Performance measurement system design: Should process based approaches be adopted?," International Journal of Production Economics, Elsevier, vol. 46(1), pages 423-431, December.
    9. Barros, Carlos Pestana & Peypoch, Nicolas, 2009. "An evaluation of European airlines' operational performance," International Journal of Production Economics, Elsevier, vol. 122(2), pages 525-533, December.
    10. Bustinza, O.F. & Arias-Aranda, D. & Gutierrez-Gutierrez, L., 2010. "Outsourcing, competitive capabilities and performance: an empirical study in service firms," International Journal of Production Economics, Elsevier, vol. 126(2), pages 276-288, August.
    11. Krakovics, Fabio & Eugenio Leal, José & Mendes Jr., Paulo & Lorenzo Santos, Rafael, 2008. "Defining and calibrating performance indicators of a 4PL in the chemical industry in Brazil," International Journal of Production Economics, Elsevier, vol. 115(2), pages 502-514, October.
    12. Pinheiro de Lima, Edson & Eduardo Gouvêa da Costa, Sérgio & Reis de Faria, Avides, 2009. "Taking operations strategy into practice: Developing a process for defining priorities and performance measures," International Journal of Production Economics, Elsevier, vol. 122(1), pages 403-418, November.
    13. Awasthi, Anjali & Chauhan, Satyaveer S. & Goyal, S.K., 2010. "A fuzzy multicriteria approach for evaluating environmental performance of suppliers," International Journal of Production Economics, Elsevier, vol. 126(2), pages 370-378, August.
    14. Cusmano, Lucia & Morrison, Andrea & Rabellotti, Roberta, 2010. "Catching up Trajectories in the Wine Sector: A Comparative Study of Chile, Italy, and South Africa," World Development, Elsevier, vol. 38(11), pages 1588-1602, November.
    15. Gigler, J. K. & Hendrix, E. M. T. & Heesen, R. A. & van den Hazelkamp, V. G. W. & Meerdink, G., 2002. "On optimisation of agri chains by dynamic programming," European Journal of Operational Research, Elsevier, vol. 139(3), pages 613-625, June.
    16. Sheu, Jiuh-Biing & Chou, Yi-Hwa & Hu, Chun-Chia, 2005. "An integrated logistics operational model for green-supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(4), pages 287-313, July.
    17. Collins, Robert & Cordón, Carlos & Julien, Denyse, 1996. "Lessons from the 'made in Switzerland' study: What makes a world-class manufacturer?," European Management Journal, Elsevier, vol. 14(6), pages 576-589, December.
    18. Ferrer, Juan-Carlos & Mac Cawley, Alejandro & Maturana, Sergio & Toloza, Sergio & Vera, Jorge, 2008. "An optimization approach for scheduling wine grape harvest operations," International Journal of Production Economics, Elsevier, vol. 112(2), pages 985-999, April.
    19. Kulmala, Harri I. & Ahoniemi, Lea & Nissinen, Vesa, 2009. "Performance through measuring leader's profiles: An empirical study," International Journal of Production Economics, Elsevier, vol. 122(1), pages 385-394, November.
    20. Colman, Tyler & Paster, Pablo, 2007. "Red, white and 'green': the cost of carbon in the global wine trade," Working Papers 37318, American Association of Wine Economists.
    21. Steven Hackman & Edward Frazelle & Paul Griffin & Susan Griffin & Dimitra Vlasta, 2001. "Benchmarking Warehousing and Distribution Operations: An Input-Output Approach," Journal of Productivity Analysis, Springer, vol. 16(1), pages 79-100, July.
    22. Bayraktar, Erkan & Demirbag, Mehmet & Koh, S.C. Lenny & Tatoglu, Ekrem & Zaim, Halil, 2009. "A causal analysis of the impact of information systems and supply chain management practices on operational performance: Evidence from manufacturing SMEs in Turkey," International Journal of Production Economics, Elsevier, vol. 122(1), pages 133-149, November.
    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. Basso, Franco & Guajardo, Mario & Varas, Mauricio, 2020. "Collaborative job scheduling in the wine bottling process," Omega, Elsevier, vol. 91(C).
    2. Svetozar Slobodan Sofijanic & Sinisa Milos Arsic & Dragutin Jovanovic & Milos Zivko Arsic & Safet Kalac & Zoran Ribaric & Dragan Kostadinovic & Velibor Peulic & Dragana Rosulj & Tibor Fazekas & Srdjan, 2021. "Influence of Business-Operational Performances and Company Size on CO 2 Emissions Decrease-Case of Serbian Road Transport Companies," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    3. Eirini Aivazidou & Dimitrios Aidonis & Naoum Tsolakis & Charisios Achillas & Dimitrios Vlachos, 2022. "Wine Supply Chain Network Configuration under a Water Footprint Cap," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    4. Anthony William Bennett & Simone Müller Loose, 2024. "User-Centered Development of an Online Dashboard Tool for Economic Sustainability for Small and Medium Enterprises," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    5. Mario Arturo Ruiz Estrada & Donghyun Park & Anthony T. H. Chin, 2020. "Measuring Wine Industry Efficiency with Wine Industry Network Evaluation Model (WINE-Model)," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(3), September.
    6. Nishanthi Kariyapperuma & Eva Collins, 2021. "Family logics and environmental sustainability: A study of the New Zealand wine industry," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3626-3650, December.
    7. Mauricio Varas & Franco Basso & Paul Bosch & Juan Pablo Contreras & Raúl Pezoa, 2022. "A horizontal collaborative approach for planning the wine grape harvesting," Operational Research, Springer, vol. 22(5), pages 4965-4998, November.
    8. Mozas-Moral, Adoración & Fernández-Uclés, Domingo & Medina-Viruel, Miguel Jesús & Bernal-Jurado, Enrique, 2021. "The role of the SDGs as enhancers of the performance of Spanish wine cooperatives," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Eleni-Efthymia Psychogiou & Giannis T. Tsoulfas, 2024. "Critical Factors Affecting Trust in the Wine Supply Chain in Greece: A Grey DEMATEL Approach," Logistics, MDPI, vol. 8(1), pages 1-22, February.
    10. Mac Cawley, Alejandro & Maturana, Sergio & Pascual, Rodrigo & Tortorella, Guilherme Luz, 2022. "Scheduling wine bottling operations with multiple lines and sequence-dependent set-up times: Robust formulation and a decomposition solution approach," European Journal of Operational Research, Elsevier, vol. 303(2), pages 819-839.
    11. Anthony William Bennett & Simone Mueller Loose, 2023. "Benchmarking Economic Sustainability: What Factors Explain Heterogeneity between Wine Businesses?," Sustainability, MDPI, vol. 15(24), pages 1-20, December.
    12. Valenzuela, Lionel & Maturana, Sergio, 2016. "Designing a three-dimensional performance measurement system (SMD3D) for the wine industry: A Chilean example," Agricultural Systems, Elsevier, vol. 142(C), pages 112-121.
    13. Mauricio Varas & Franco Basso & Armin Lüer-Villagra & Alejandro Mac Cawley & Sergio Maturana, 2019. "Managing premium wines using an $$(s - 1,s)$$ ( s - 1 , s ) inventory policy: a heuristic solution approach," Annals of Operations Research, Springer, vol. 280(1), pages 351-376, September.
    14. Varsei, Mohsen & Polyakovskiy, Sergey, 2017. "Sustainable supply chain network design: A case of the wine industry in Australia," Omega, Elsevier, vol. 66(PB), pages 236-247.
    15. Franco Basso & Juan Pablo Contreras & Raúl Pezoa & Alejandro Troncozo & Mauricio Varas, 2023. "Optimizing the wine transportation process from bottling plants to ports," Operational Research, Springer, vol. 23(2), pages 1-28, June.
    16. Christ, Katherine L., 2014. "Water management accounting and the wine supply chain: Empirical evidence from Australia," The British Accounting Review, Elsevier, vol. 46(4), pages 379-396.
    17. Emmanuel Ahoa & Ayalew Kassahun & Bedir Tekinerdogan & Cor Verdouw, 2021. "Analyzing and Designing Business Processes in the Ghana Cocoa Supply Chain for Supporting Inclusiveness," Sustainability, MDPI, vol. 13(22), pages 1-29, November.

    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. Yeung, Kwong & Zhou, Honggeng & Yeung, Andy C.L. & Cheng, T.C.E., 2012. "The impact of third-party logistics providers' capabilities on exporters' performance," International Journal of Production Economics, Elsevier, vol. 135(2), pages 741-753.
    2. 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.
    3. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    4. Gutierrez, Debora M. & Scavarda, Luiz F. & Fiorencio, Luiza & Martins, Roberto A., 2015. "Evolution of the performance measurement system in the Logistics Department of a broadcasting company: An action research," International Journal of Production Economics, Elsevier, vol. 160(C), pages 1-12.
    5. Hans-Joachim Schramm & Carolin Nicole Czaja & Michael Dittrich & Matthias Mentschel, 2019. "Current Advancements of and Future Developments for Fourth Party Logistics in a Digital Future," Logistics, MDPI, vol. 3(1), pages 1-17, February.
    6. Rafał Haffer, 2018. "Supply Chain Performance Measurement System Of Logistics Service Providers. A Conceptual Framework And Research Agenda," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 85-108.
    7. Tim Gruchmann & Nadine Pratt & Jan Eiten & Ani Melkonyan, 2020. "4PL Digital Business Models in Sea Freight Logistics: The Case of FreightHub," Logistics, MDPI, vol. 4(2), pages 1-14, May.
    8. Lin, J. & Z. & Zhang, Z., 2018. "Does transportation matter to tobacco leaf producers? Evidence from Guizhou, China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276998, International Association of Agricultural Economists.
    9. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Confirmation of a measurement model for green supply chain management practices implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 261-273, February.
    10. Soto-Silva, Wladimir E. & Nadal-Roig, Esteve & González-Araya, Marcela C. & Pla-Aragones, Lluis M., 2016. "Operational research models applied to the fresh fruit supply chain," European Journal of Operational Research, Elsevier, vol. 251(2), pages 345-355.
    11. Wang, Chun-Hsien & Lu, Iuan-Yuan & Chen, Chin-Bein, 2010. "Integrating hierarchical balanced scorecard with non-additive fuzzy integral for evaluating high technology firm performance," International Journal of Production Economics, Elsevier, vol. 128(1), pages 413-426, November.
    12. Hao Zhang & Jianxin You & Xuekelaiti Haiyirete & Tianyu Zhang, 2020. "Measuring Logistics Efficiency in China Considering Technology Heterogeneity and Carbon Emission through a Meta-Frontier Model," Sustainability, MDPI, vol. 12(19), pages 1-18, October.
    13. David W.C. Wong & K.L. Choy & Harry K.H. Chow & Canhong Lin, 2014. "Assessing a cross-border logistics policy using a performance measurement system framework: the case of Hong Kong and the Pearl River Delta region," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(6), pages 1306-1320, June.
    14. Mingyu Zhang & Yuhuan Xia & Shuang Li & Wenbing Wu & Shuxiang Wang, 2019. "Crowd Logistics Platform’s Informative Support to Logistics Performance: Scale Development and Empirical Examination," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    15. Pournader, Mehrdokht & Kach, Andrew & Fahimnia, Behnam & Sarkis, Joseph, 2019. "Outsourcing performance quality assessment using data envelopment analytics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 173-182.
    16. Tsai Chi Kuo & Chia-Wei Hsu & Jie-Ying Li, 2015. "Developing a Green Supplier Selection Model by Using the DANP with VIKOR," Sustainability, MDPI, vol. 7(2), pages 1-29, February.
    17. Li, Ling, 2011. "Assessing the relational benefits of logistics services perceived by manufacturers in supply chain," International Journal of Production Economics, Elsevier, vol. 132(1), pages 58-67, July.
    18. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    19. Wang, Ying-Ming & Chin, Kwai-Sang, 2010. "Some alternative models for DEA cross-efficiency evaluation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 332-338, November.
    20. Govindan, Kannan & Kadziński, Miłosz & Sivakumar, R., 2017. "Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain," Omega, Elsevier, vol. 71(C), pages 129-145.

    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:135:y:2012:i:1:p:284-298. 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.