IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v87y2023ipas0038012123000629.html
   My bibliography  Save this article

The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model

Author

Listed:
  • Abbas, Hasnain
  • Zhao, Lindu
  • Gong, Xi
  • Faiz, Narmeen

Abstract

Perishable food supply chain required special attention concerning “timely delivery supervision” that may have quality, safety and environmental effects throughout with transportation duration aspects which leads to create economic differences of product value. Consequently, the development of food quality and safety has achieved significant importance. Therefore, the development of perishable food supply chain transportation network needed to more explored to fill the gap of timely supervision. Respectively, the multi-objective conceptual simulation model is developed to optimize the cost, environmental effect, quality and safety, and the appropriate transportation facility at field level connected with perishable food supply chain transportation system. In this study, perishable food lifetime variations are significantly structured as the Weibull random approach, and product perishability is supposed to be influenced by transport refrigerator application, which is assumed as the decision variable. Apart from, multiple vehicle types and multiple perishable food types are taken. The perishable food supply chain case is examined and, the associations and interrelations of all aspects of sustainability are studied, which is known as the multi-objective model of sustainability. According to the findings, by emphasising the cost factors for highly perishable commodities, the supply chain's environmental impact may increase by 108%, and the social impact may rise by 45% for transportation networks with field refrigeration facilities. Additionally, a 23% increase in economic awareness could increase supply chain structure design sustainability by 137%. Environmental impact and the unpredictability of perishable foods are also seen as important variables that might have a variety of effects on the supply chain's structure and operation. This study contributes the cold supply chain's sustainable development objectives while enhancing the quality and safety of perishable products. The results propose that policy makers can significantly decrease the environmental and social effects of the supply chain even without considerably compromising the cost aspect.

Suggested Citation

  • Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
  • Handle: RePEc:eee:soceps:v:87:y:2023:i:pa:s0038012123000629
    DOI: 10.1016/j.seps.2023.101562
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123000629
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101562?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. Yoon, Seong No & Lee, DonHee & Schniederjans, Marc, 2016. "Effects of innovation leadership and supply chain innovation on supply chain efficiency: Focusing on hospital size," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 412-421.
    2. Aman Bhatnagar & Prem Vrat & Ravi Shankar, 2019. "Multi-criteria clustering analytics for agro-based perishables in cold-chain," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 563-593, May.
    3. Saeid Jafarzadeh Ghoushchi & Shabnam Rahnamay Bonab & Ali Memarpour Ghiaci & Gholamreza Haseli & Hana Tomaskova & Mostafa Hajiaghaei-Keshteli, 2021. "Landfill Site Selection for Medical Waste Using an Integrated SWARA-WASPAS Framework Based on Spherical Fuzzy Set," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    4. Singha Mahapatra, Maheswar & Mahanty, Biswajit, 2020. "Policies for managing peak stock of food grains for effective distribution: A case of the Indian food program," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    5. Torkayesh, Ali Ebadi & Alizadeh, Reza & Soltanisehat, Leili & Torkayesh, Sajjad Ebadi & Lund, Peter D., 2022. "A comparative assessment of air quality across European countries using an integrated decision support model," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    6. Sari, Kazim & Suslu, Murat, 2018. "A modeling approach for evaluating green performance of a hotel supply chain," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 53-60.
    7. Kiambi, Stella & Alarcon, Pablo & Rushton, Jonathan & Murungi, Maurice K. & Muinde, Patrick & Akoko, James & Aboge, Gabriel & Gikonyo, Stephen & Momanyi, Kelvin & Kang'ethe, Erastus K. & Fèvre, Eric M, 2018. "Mapping Nairobi's dairy food system: An essential analysis for policy, industry and research," Agricultural Systems, Elsevier, vol. 167(C), pages 47-60.
    8. Fakheri, Sajjad & Bahrami-Bidoni, Zeynab & Makui, Ahmad & Pishvaee, Mir Saman & Santibanez Gonzalez, Ernesto DR., 2022. "A sustainable competitive supply chain network design for a green product under uncertainty: A case study of Iranian leather industry," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    9. Yazdani, Morteza & Torkayesh, Ali Ebadi & Chatterjee, Prasenjit & Fallahpour, Alireza & Montero-Simo, Maria Jose & Araque-Padilla, Rafael A. & Wong, Kuan Yew, 2022. "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    10. Paul, Tripti & Mondal, Sandeep & Islam, Nazrul & Rakshit, Sandip, 2021. "The impact of blockchain technology on the tea supply chain and its sustainable performance," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Reardon, Thomas & Echeverria, Ruben & Berdegué, Julio & Minten, Bart & Liverpool-Tasie, Saweda & Tschirley, David & Zilberman, David, 2019. "Rapid transformation of food systems in developing regions: Highlighting the role of agricultural research & innovations," Agricultural Systems, Elsevier, vol. 172(C), pages 47-59.
    12. Halloran, Afton & Clement, Jesper & Kornum, Niels & Bucatariu, Camelia & Magid, Jakob, 2014. "Addressing food waste reduction in Denmark," Food Policy, Elsevier, vol. 49(P1), pages 294-301.
    13. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    14. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    15. Kumar, Anish & Mangla, Sachin Kumar & Kumar, Pradeep & Song, Malin, 2021. "Mitigate risks in perishable food supply chains: Learning from COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    16. Yang, Zhiwei & Chen, Xiaohong & Pan, Ruixu & Yuan, Quan, 2022. "Exploring location factors of logistics facilities from a spatiotemporal perspective: A case study from Shanghai," Journal of Transport Geography, Elsevier, vol. 100(C).
    17. Shao, Xue-Feng & Liu, Wei & Li, Yi & Chaudhry, Hassan Rauf & Yue, Xiao-Guang, 2021. "Multistage implementation framework for smart supply chain management under industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    18. Aman Bhatnagar & Prem Vrat & Ravi Shankar, 2019. "Multi-criteria clustering analytics for agro-based perishables in cold-chain," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 563-593, May.
    19. Stekelorum, Rebecca & Laguir, Issam & ElBaz, Jamal, 2020. "Can you hear the Eco? From SME environmental responsibility to social requirements in the supply chain," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    20. Malesios, Chrisovalantis & De, Debashree & Moursellas, Andreas & Dey, Prasanta Kumar & Evangelinos, Konstantinos, 2021. "Sustainability performance analysis of small and medium sized enterprises: Criteria, methods and framework," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    21. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia, 2021. "Environmental sustainability and service quality beyond economic and financial indicators: A performance evaluation of Italian water utilities," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    22. Bogataj, Marija & Bogataj, Ludvik & Vodopivec, Robert, 2005. "Stability of perishable goods in cold logistic chains," International Journal of Production Economics, Elsevier, vol. 93(1), pages 345-356, January.
    23. van Donselaar, K. & van Woensel, T. & Broekmeulen, R. & Fransoo, J., 2006. "Inventory control of perishables in supermarkets," International Journal of Production Economics, Elsevier, vol. 104(2), pages 462-472, December.
    24. Maharjan, Rajali & Hanaoka, Shinya, 2020. "A credibility-based multi-objective temporary logistics hub location-allocation model for relief supply and distribution under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    25. De Bruecker, Philippe & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon & Demeulemeester, Erik, 2018. "A model enhancement approach for optimizing the integrated shift scheduling and vehicle routing problem in waste collection," European Journal of Operational Research, Elsevier, vol. 266(1), pages 278-290.
    26. Beaulieu, Martin & Bentahar, Omar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    27. Ghanbarzadeh-Shams, M. & Ghasemy Yaghin, R. & Sadeghi, A.H., 2022. "A hybrid fuzzy multi-objective model for carpet production planning with reverse logistics under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    28. Khan, Syed Abdul Rehman & Razzaq, Asif & Yu, Zhang & Shah, Adeel & Sharif, Arshian & Janjua, Laeeq, 2022. "Disruption in food supply chain and undernourishment challenges: An empirical study in the context of Asian countries," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    29. Marcus Brandenburg & Tobias Rebs, 2015. "Sustainable supply chain management: a modeling perspective," Annals of Operations Research, Springer, vol. 229(1), pages 213-252, June.
    30. Vivian Hoffmann & Christine Moser, 2017. "You get what you pay for: the link between price and food safety in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 48(4), pages 449-458, July.
    31. Hoffmann, Vivian & Moser, Christine & Saak, Alexander, 2019. "Food safety in low and middle-income countries: The evidence through an economic lens," World Development, Elsevier, vol. 123(C), pages 1-1.
    32. Nicola Bianchessi & Stefan Irnich, 2019. "Branch-and-Cut for the Split Delivery Vehicle Routing Problem with Time Windows," Transportation Science, INFORMS, vol. 53(2), pages 442-462, March.
    33. Lin, Jinchai & Fan, Ruguo & Tan, Xianchun & Zhu, Kaiwei, 2021. "Dynamic decision and coordination in a low-carbon supply chain considering the retailer's social preference," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    34. D'Ambra, Luigi & Crisci, Anna & Meccariello, Giovanni & Della Ragione, Livia & Palma, Raffaela, 2021. "Evaluation of the social and economic impact of carbon dioxide (CO2) emissions on sustainable mobility using cumulative ordinal models: trend odds model," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    35. Martin Beaulieu & Omar Bentahar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Post-Print hal-03208957, HAL.
    36. Nair, D.J. & Grzybowska, H. & Fu, Y. & Dixit, V.V., 2018. "Scheduling and routing models for food rescue and delivery operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 18-32.
    37. Prem Vrat & Rachita Gupta & Aman Bhatnagar & Devendra Kumar Pathak & Vijayta Fulzele, 2018. "Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 601-627, November.
    38. Nili, Maryam & Seyedhosseini, Seyed Mohammad & Jabalameli, Mohammad Saeed & Dehghani, Ehsan, 2021. "A multi-objective optimization model to sustainable closed-loop solar photovoltaic supply chain network design: A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    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. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    2. Fakheri, Sajjad & Bahrami-Bidoni, Zeynab & Makui, Ahmad & Pishvaee, Mir Saman & Santibanez Gonzalez, Ernesto DR., 2022. "A sustainable competitive supply chain network design for a green product under uncertainty: A case study of Iranian leather industry," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. Hafiz Wasim Akram & Samreen Akhtar & Alam Ahmad & Imran Anwar & Mohammad Ali Bait Ali Sulaiman, 2023. "Developing a Conceptual Framework Model for Effective Perishable Food Cold-Supply-Chain Management Based on Structured Literature Review," Sustainability, MDPI, vol. 15(6), pages 1-28, March.
    4. Ghanbarzadeh-Shams, M. & Ghasemy Yaghin, R. & Sadeghi, A.H., 2022. "A hybrid fuzzy multi-objective model for carpet production planning with reverse logistics under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    5. Farajpour, Farnoush & Hassanzadeh, Alireza & Elahi, Shaban & Ghazanfari, Mehdi, 2022. "Digital supply chain blueprint via a systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Sarah Wairimu Kariuki & Vivian Hoffmann, 2022. "Can information drive demand for safer food? Impact of brand‐specific recommendations and test results on product choice," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 454-467, May.
    7. Basu R, Jothi & Abdulrahman, Muhammad D. & Yuvaraj, M., 2023. "Improving agility and resilience of automotive spares supply chain: The additive manufacturing enabled truck model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. Alla Mostepaniuk & Turgay Akalin & Mohammad Reza Parish, 2023. "Practices Pursuing the Sustainability of A Healthcare Organization: A Systematic Review," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    9. Khan, Syed Abdul Rehman & Razzaq, Asif & Yu, Zhang & Shah, Adeel & Sharif, Arshian & Janjua, Laeeq, 2022. "Disruption in food supply chain and undernourishment challenges: An empirical study in the context of Asian countries," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).
    11. Vivian Hoffmann & Christine M. Moser & Timothy J. Herrman, 2021. "Demand for Aflatoxin‐Safe Maize in Kenya: Dynamic Response to Price and Advertising," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 275-295, January.
    12. Michael Sony & Jiju Antony & Guilherme L. Tortorella, 2023. "Critical Success Factors for Successful Implementation of Healthcare 4.0: A Literature Review and Future Research Agenda," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    13. Zhu, Qingyun & Bai, Chunguang & Sarkis, Joseph, 2022. "Blockchain technology and supply chains: The paradox of the atheoretical research discourse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    14. Benzidia, Smaïl & Makaoui, Naouel & Subramanian, Nachiappan, 2021. "Impact of ambidexterity of blockchain technology and social factors on new product development: A supply chain and Industry 4.0 perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    15. Gallucci, Carmen & Santulli, Rosalia & Lagasio, Valentina, 2022. "The conceptualization of environmental, social and governance risks in portfolio studies A systematic literature review," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    16. Ming-Lang Tseng & Tat-Dat Bui & Ming K. Lim & Stephen Lewi, 2021. "A Cause and Effect Model for Digital Sustainable Supply Chain Competitiveness under Uncertainties: Enhancing Digital Platform," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    17. Furstenau, Leonardo Bertolin & Zani, Carolina & Terra, Stela Xavier & Sott, Michele Kremer & Choo, Kim-Kwang Raymond & Saurin, Tarcisio Abreu, 2022. "Resilience capabilities of healthcare supply chain and supportive digital technologies," Technology in Society, Elsevier, vol. 71(C).
    18. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
    19. Kumar, Anil & Naz, Farheen & Luthra, Sunil & Vashistha, Rajat & Kumar, Vikas & Garza-Reyes, Jose Arturo & Chhabra, Deepak, 2023. "Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach," Journal of Business Research, Elsevier, vol. 162(C).
    20. Antonio Fusco & Graziana Galeone & Federico Schimperna & Rosa Lombardi, 2021. "The impact of Gender diversity on Healthcare System and Leadership: A first SLR for the future research," MECOSAN, FrancoAngeli Editore, vol. 0(120), pages 7-19.

    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:soceps:v:87:y:2023:i:pa:s0038012123000629. 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/seps .

    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.