IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v164y2015icp462-471.html
   My bibliography  Save this article

Cloud computing technology: Reducing carbon footprint in beef supply chain

Author

Listed:
  • Singh, Akshit
  • Mishra, Nishikant
  • Ali, Syed Imran
  • Shukla, Nagesh
  • Shankar, Ravi

Abstract

Global warming is an alarming issue for the whole humanity. The manufacturing and food supply chains are contributing significantly to the large-scale carbon emissions. Beef supply chain is one of the segments of food industry having considerable carbon footprint throughout its supply chain. The major emissions are occurring at beef farms in the form of methane and nitrous oxide gases. The other carbon hotspots in beef supply chain are abattoir, processor, logistics and retailer. There is a huge amount of pressure from government authorities to all the business firms to cut down carbon emissions. The different stakeholders of beef supply chain especially small and medium-sized stakeholders, lack in technical and financial resources to optimize and measure carbon emissions at their end. There is no integrated system which can address this issue for the entire beef supply chain. Keeping the same in mind, in this paper, an integrated system is proposed using Cloud Computing Technology (CCT) where all stakeholders of beef supply chain can minimize and measure carbon emission at their end within reasonable expenses and infrastructure. The integrated approach of mapping the entire beef supply chain by a single cloud will also improve the coordination among its stakeholders. The system boundary of this study will be from beef farms to the retailer involving logistics, abattoir and processor in between. The efficacy of the proposed system is demonstrated in a simulated case study.

Suggested Citation

  • Singh, Akshit & Mishra, Nishikant & Ali, Syed Imran & Shukla, Nagesh & Shankar, Ravi, 2015. "Cloud computing technology: Reducing carbon footprint in beef supply chain," International Journal of Production Economics, Elsevier, vol. 164(C), pages 462-471.
    • Handle: RePEc:eee:proeco:v:164:y:2015:i:c:p:462-471
    DOI: 10.1016/j.ijpe.2014.09.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527314002977
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2014.09.019?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. Mercedes Bustamante & Carlos Nobre & Roberto Smeraldi & Ana Aguiar & Luis Barioni & Laerte Ferreira & Karla Longo & Peter May & Alexandre Pinto & Jean Ometto, 2012. "Estimating greenhouse gas emissions from cattle raising in Brazil," Climatic Change, Springer, vol. 115(3), pages 559-577, December.
    2. Raymond L. Desjardins & Devon E. Worth & Xavier P. C. Vergé & Dominique Maxime & Jim Dyer & Darrel Cerkowniak, 2012. "Carbon Footprint of Beef Cattle," Sustainability, MDPI, vol. 4(12), pages 1-23, December.
    3. Kythreotou, Nicoletta & Tassou, Savvas A. & Florides, Georgios, 2011. "The contribution of direct energy use for livestock breeding to the greenhouse gases emissions of Cyprus," Energy, Elsevier, vol. 36(10), pages 6090-6097.
    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. Kopp, Thomas & Nabernegg, Markus K., 2022. "Inequality and Environmental Impact from Food Consumption - Can the Two Be Reduced Jointly?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322125, Agricultural and Applied Economics Association.
    2. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    3. Mona Haji & Laoucine Kerbache & Mahaboob Muhammad & Tareq Al-Ansari, 2020. "Roles of Technology in Improving Perishable Food Supply Chains," Logistics, MDPI, vol. 4(4), pages 1-24, December.
    4. Khwanchol Kampan & Takuji W. Tsusaka & Anil Kumar Anal, 2022. "Adoption of Blockchain Technology for Enhanced Traceability of Livestock-Based Products," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    5. Liyin Shen & Yingli Lou & Yali Huang & Jindao Chen, 2018. "A driving–driven perspective on the key carbon emission sectors in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 93(1), pages 349-371, August.
    6. Nesrin Ada & Yigit Kazancoglu & Muruvvet Deniz Sezer & Cigdem Ede-Senturk & Idil Ozer & Mangey Ram, 2021. "Analyzing Barriers of Circular Food Supply Chains and Proposing Industry 4.0 Solutions," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    7. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2023. "Industry 5.0 and Triple Bottom Line Approach in Supply Chain Management: The State-of-the-Art," Sustainability, MDPI, vol. 15(7), pages 1-30, March.
    8. Nagesh Shukla & Senevi Kiridena, 2016. "A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6984-6996, December.
    9. Dragomirov Nikolay & Boyanov Luben, 2021. "Supply Chain Management and Logistics Big Data Challenges in Bulgaria," LOGI – Scientific Journal on Transport and Logistics, Sciendo, vol. 12(1), pages 171-181, January.
    10. Dev, Navin K. & Shankar, Ravi & Swami, Sanjeev, 2020. "Diffusion of green products in industry 4.0: Reverse logistics issues during design of inventory and production planning system," International Journal of Production Economics, Elsevier, vol. 223(C).
    11. Gilseung Ahn & You-Jin Park & Sun Hur, 2017. "Probabilistic Graphical Framework for Estimating Collaboration Levels in Cloud Manufacturing," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    12. Guoqing Zhang & Yiqin Yang & Guoqing Yang, 2023. "Smart supply chain management in Industry 4.0: the review, research agenda and strategies in North America," Annals of Operations Research, Springer, vol. 322(2), pages 1075-1117, March.
    13. Nishikant Mishra & Akshit Singh, 2018. "Use of twitter data for waste minimisation in beef supply chain," Annals of Operations Research, Springer, vol. 270(1), pages 337-359, November.
    14. Khushboo E-Fatima & Rasoul Khandan & Amin Hosseinian-Far & Dilshad Sarwar, 2023. "The Adoption of Robotic Process Automation Considering Financial Aspects in Beef Supply Chains: An Approach towards Sustainability," Sustainability, MDPI, vol. 15(9), pages 1-34, April.
    15. Xiaojing Zheng, 2022. "The Coordination of Multi-Stage Discounts in a Dual Channel Fresh Agricultural Produce Supply Chain: Minimizing the Loss of Quantity and Quality," Sustainability, MDPI, vol. 14(4), pages 1-28, February.
    16. Hui Zhang & Haiqian Ke, 2022. "Spatial Spillover Effects of Directed Technical Change on Urban Carbon Intensity, Based on 283 Cities in China from 2008 to 2019," IJERPH, MDPI, vol. 19(3), pages 1-19, February.
    17. Anupam Keshari & Nishikant Mishra & Nagesh Shukla & Steve McGuire & Sangeeta Khorana, 2018. "Multiple order-up-to policy for mitigating bullwhip effect in supply chain network," Annals of Operations Research, Springer, vol. 269(1), pages 361-386, October.
    18. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
    19. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    20. Frank Ebinger & Bramwel Omondi, 2020. "Leveraging Digital Approaches for Transparency in Sustainable Supply Chains: A Conceptual Paper," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    21. Sina Davoudi & Peter Stasinopoulos & Nirajan Shiwakoti, 2024. "Two Decades of Advancements in Cold Supply Chain Logistics for Reducing Food Waste: A Review with Focus on the Meat Industry," Sustainability, MDPI, vol. 16(16), pages 1-67, August.
    22. Nakatani, Jun & Tahara, Kiyotaka & Nakajima, Kenichi & Daigo, Ichiro & Kurishima, Hideaki & Kudoh, Yuki & Matsubae, Kazuyo & Fukushima, Yasuhiro & Ihara, Tomohiko & Kikuchi, Yasunori & Nishijima, Asak, 2018. "A graph theory-based methodology for vulnerability assessment of supply chains using the life cycle inventory database," Omega, Elsevier, vol. 75(C), pages 165-181.
    23. Trang Thi Pham & Tsai-Chi Kuo & Ming-Lang Tseng & Raymond R. Tan & Kimhua Tan & Denny Satria Ika & Chiuhsiang Joe Lin, 2019. "Industry 4.0 to Accelerate the Circular Economy: A Case Study of Electric Scooter Sharing," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    24. Gupta, Himanshu & Yadav, Avinash Kumar & Kusi-Sarpong, Simonov & Khan, Sharfuddin Ahmed & Sharma, Shashi Chandra, 2022. "Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic," Technology in Society, Elsevier, vol. 69(C).

    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. Shen Wang & Guohe Huang & Yurui Fan, 2018. "A Multistage Distribution-Generation Planning Model for Clean Power Generation under Multiple Uncertainties—A Case Study of Urumqi, China," Sustainability, MDPI, vol. 10(9), pages 1-30, September.
    2. World Bank, 2017. "Brazil’s INDC Restoration and Reforestation Target," World Bank Publications - Reports 28588, The World Bank Group.
    3. Azhar, Badrul & Nobilly, Frisco & Lechner, Alex M. & Tohiran, Kamil Azmi & Maxwell, Thomas M.R. & Zulkifli, Raja & Kamel, Mohd Fathil & Oon, Aslinda, 2021. "Mitigating the risks of indirect land use change (ILUC) related deforestation from industrial palm oil expansion by sharing land access with displaced crop and cattle farmers," Land Use Policy, Elsevier, vol. 107(C).
    4. Kênia Barreiro de Souza & Luiz Carlos de Santana Ribeiro & Fernando Salgueiro Perobelli, 2016. "Reducing Brazilian greenhouse gas emissions: scenario simulations of targets and policies," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 482-496, October.
    5. de Oliveira Silva, Rafael & Barioni, Luis G. & Albertini, Tiago Zanett & Eory, Vera & Topp, Cairistiona F.E. & Fernandes, Fernando A. & Moran, Dominic, 2015. "Developing a nationally appropriate mitigation measure from the greenhouse gas GHG abatement potential from livestock production in the Brazilian Cerrado," Agricultural Systems, Elsevier, vol. 140(C), pages 48-55.
    6. Jessica Gilreath & Tryon Wickersham & Jason Sawyer, 2022. "Comparison of Methodologies Used to Estimate Enteric Methane Emissions and Warming Impact from 1920 to 2020 for U.S. Beef Production," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    7. Tianyi Cai & Degang Yang & Xinhuan Zhang & Fuqiang Xia & Rongwei Wu, 2018. "Study on the Vertical Linkage of Greenhouse Gas Emission Intensity Change of the Animal Husbandry Sector between China and Its Provinces," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    8. Rasadhika Sharma & Trung Thanh Nguyen & Ulrike Grote, 2018. "Changing Consumption Patterns—Drivers and the Environmental Impact," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    9. Marcelo F. Pompelli & Daniela Vegliante Arrieta & Yirlis Yadeth Pineda Rodríguez & Ana Melisa Jiménez Ramírez & Ana Milena Vasquez Bettin & María Angélica Quiñones Avilez & Jesús Adolfo Ayala Cárcamo , 2022. "Can Chlorophyll a Fluorescence and Photobleaching Be a Stress Signal under Abiotic Stress in Vigna unguiculata L.?," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    10. Elina Lehikoinen & Tuure Parviainen & Juha Helenius & Mika Jalava & Arto O. Salonen & Matti Kummu, 2019. "Cattle Production for Exports in Water-Abundant Areas: The Case of Finland," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    11. Shiferaw Feleke & Steven Michael Cole & Haruna Sekabira & Rousseau Djouaka & Victor Manyong, 2021. "Circular Bioeconomy Research for Development in Sub-Saharan Africa: Innovations, Gaps, and Actions," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    12. Jacob Hawkins & Chunbo Ma & Steven Schilizzi & Fan Zhang, 2018. "China's changing diet and its impacts on greenhouse gas emissions: an index decomposition analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(1), pages 45-64, January.
    13. Bowman, Maria S., 2016. "Impact of foot-and-mouth disease status on deforestation in Brazilian Amazon and cerrado municipalities between 2000 and 2010," Journal of Environmental Economics and Management, Elsevier, vol. 75(C), pages 25-40.
    14. Stanley, Paige L. & Rowntree, Jason E. & Beede, David K. & DeLonge, Marcia S. & Hamm, Michael W., 2018. "Impacts of soil carbon sequestration on life cycle greenhouse gas emissions in Midwestern USA beef finishing systems," Agricultural Systems, Elsevier, vol. 162(C), pages 249-258.
    15. Li, Xiaogu & Jensen, Kimberly L. & Clark, Christopher D. & Lambert, Dayton M., 2016. "Consumer willingness to pay for beef grown using climate friendly production practices," Food Policy, Elsevier, vol. 64(C), pages 93-106.
    16. Paola Caputo & Chiara Ducoli & Matteo Clementi, 2014. "Strategies and Tools for Eco-Efficient Local Food Supply Scenarios," Sustainability, MDPI, vol. 6(2), pages 1-21, January.
    17. Claudinei Oliveira dos Santos & Alexandre de Siqueira Pinto & Janete Rego da Silva & Leandro Leal Parente & Vinícius Vieira Mesquita & Maiara Pedral dos Santos & Laerte Guimaraes Ferreira, 2022. "Monitoring of Carbon Stocks in Pastures in the Savannas of Brazil through Ecosystem Modeling on a Regional Scale," Land, MDPI, vol. 12(1), pages 1-12, December.
    18. Bieńkowski, Jerzy & Holka, Małgorzata & Dąbrowicz, Radosław & Jankowiak, Janusz, 2018. "Carbon Footprint of Beef Cattle in a Conventional Production System: a Case Study of a Large-Area Farming Enterprise in the Wielkopolska Region," Problems of World Agriculture / Problemy Rolnictwa Światowego, Warsaw University of Life Sciences, vol. 18(33, Part ), September.
    19. Pedro Henrique Presumido & Fernando Sousa & Artur Gonçalves & Tatiane Cristina Dal Bosco & Manuel Feliciano, 2018. "Environmental Impacts of the Beef Production Chain in the Northeast of Portugal Using Life Cycle Assessment," Agriculture, MDPI, vol. 8(10), pages 1-19, October.
    20. Newton, Peter & Agrawal, Arun & Wollenberg, Lini, 2013. "Interventions for achieving sustainability in tropical forest and agricultural landscapes," CAPRi working papers 110, International Food Policy Research Institute (IFPRI).

    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:164:y:2015:i:c:p:462-471. 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.