AccScience Publishing / IJOSI / Volume 8 / Issue 2 / DOI: 10.6977/IJoSI.202406_8(2).0001
ARTICLE

Developingfavorite distribution mode of fresh food donations with grey relation analysis and TRIZ

Chih-Yung Wang1* Tzong-Ru (Jiun-Shen) Lee2 Ville Isoherranen3 Shiou-Yu Chen4
Show Less
1 Department of Business Administration, Ming Chuan University, Taiwan
2 Department of Marketing, National Chuan Hsin University, Taiwan
3 School of Technology, Vaasa University of Applied Sciences, Vaasa, Finland
4 Department of Shipping & Transportation Management, National Taiwan Ocean University, Taiwan
Submitted: 19 December 2023 | Revised: 8 March 2024 | Accepted: 8 April 2024 | Published: 1 June 2024
© 2024 by the 10.6977/IJoSI.202406_8(2).0001. Licensee AccScience Publishing, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Taiwan currently grapples with the intricate task of balancing its food supply and demand, resulting in the emergence of critical food surplus and waste issues. To address this pressing challenge, the government has turned to food dona-tion initiatives led by public associations and private corporations to alleviate food waste concerns. Nevertheless, a significant obstacle remains in the form of the efficient and effective distribution of these fresh food donations from the supply side to the demand side. Therefore, this study aims to pioneeran innovative and optimized distribution model for fresh food donations employing TRIZ (Theory of Inventive Problem Solving) and grey relational analysis.Through an in-depth analysis of questionnaire data gathered from the public, this research uncovers the most favored distribution model, namely, "Government-invited third-party logistics providers (3PLs) to voluntarily manage distri-bution services, alongside the provision of preferential subsidies or tax incentives." Building upon these findings, this study offers valuable recommendations for governmental agricultural authorities and other stakeholders within the fresh food donation supply chain, serving asa cornerstone for sustainable food management practices.

Keywords
Fresh Food Donation; Distribution Mode; Disadvantaged Groups; TRIZ; Grey Relational Analysis
References
  1. Abbade, E. B. (2020). Estimating the Nutritional Loss and the Feeding Potential Derived from Food Losses World-Wide. *World Development*, 134, 105038. https://doi.org/10.1016/j.worlddev.2020.105038
  2. Aysoy, C., Kirli, D. H., & Tumen, S. (2015). How Does a Shorter Supply Chain Affect Pricing of Fresh Food? Evidence from a Natural Experiment. *Food Policy*, 57, 104-113. https://doi.org/10.1016/j.food-pol.2015.10.003
  3. Barlagne, C., Bazoche, P., Thomas, A., Ozier-Lafon-taine, H., Causeret, F., & Blazy, J.-M. (2015). Promoting Local Foods in Small Island States: The Role of Information Policies. *Food Policy*, 57, 62-72. https://doi.org/10.1016/j.food-pol.2015.09.003
  4. Beske-Janssen, P., Johnson, M. P., & Schaltegger, S. (2015). 20 Years of Performance Measurement in Sustainable Supply Chain Management – What Has Been Achieved? *Supply Chain Management: An International Journal*, 20(6), 664-680. https://doi.org/10.1108/scm-06-2015-0216
  5. Bowersox, D. J., Closs, D. J., & Stank, T. P. (2000). Ten Mega-Trends That Will Revolutionize Supply Chain Logistics. *Journal of Business Logistics*, 21(2), 1-16. https://www.proquest.com/scholarly-journals/ten-mega-trends-that-will-revolutionize-sup-ply/docview/212591409/se-2?accountid=12469
  6. Bukhman, I. (2021). The Ideas of TRIZ. In I. Bukhman (Ed.), *Technology for Innovation: How to Create New Systems, Develop Existing Systems and Solve Related Problems* (pp. 1-9). Springer Singapore. https://doi.org/10.1007/978-981-16-1041-7_1
  7. Chai, K.-H., Zhang, J., & Kay-Chuan, T. (2005). A TRIZ-Based Method for New Service Design. *Journal of Service Research: JSR*, 8(1), 48-66. https://www.proquest.com/scholarly-journals/triz-based-method-new-service-de-sign/docview/210509481/se-2?accountid=12469
  8. Chen, C.-K., Shie, A.-J., Wang, K.-M., & Yu, C.-H. (2015). An Ageing-in-Place Service Innovation Model by Using TRIZ Methodology. *Human Factors and Ergonomics in Manufacturing & Service Industries*, 25(2), 166-182. https://doi.org/10.1002/hfm.20536
  9. Cong, H., & Tong, L. H. (2008). Grouping of TRIZ Inventive Principles to Facilitate Automatic Patent Classification. *Expert Systems with Applications*, 34(1), 788-795. https://doi.org/10.1016/j.eswa.2006.10.015
  10. De Hooge, I. E., Oostindjer, M., Aschemann-Witzel, J., Normann, A., Loose, S. M., & Almli, V. L. (2017). This Apple Is Too Ugly for Me!: Consumer Preferences for Suboptimal Food Products in the Supermarket and at Home. *Food Quality and Preference*, 56, 80-92. https://doi.org/10.1016/j.food-qual.2016.09.012
  11. Gajanand, M. S., & Narendran, T. T. (2013). Green Route Planning to Reduce the Environmental Impact of Distribution. *International Journal of Logistics Research and Applications*, 16(5), 410-432. https://doi.org/10.1080/13675567.2013.831400
  12. Garrone, P., Melacini, M., & Perego, A. (2014). Opening the Black Box of Food Waste Reduction. *Food Policy*, 46, 129-139. https://doi.org/10.1016/j.food-pol.2014.03.014
  13. Gunasekaran, A., Williams, H. J., & McGaughey, R. E. (2005). Performance Measurement and Costing System in New Enterprise. *Technovation*, 25(5), 523-533. https://doi.org/10.1016/j.technovation.2003.09.010
  14. Jeeradist, T., Thawesaengskulthai, N., & Sangsuwan, T. (2016). Using TRIZ to Enhance Passengers' Perceptions of an Airline's Image through Service Quality and Safety. *Journal of Air Transport Management*, 53, 131-139. https://doi.org/10.1016/j.jairtra-man.2016.02.011
  15. Lan, H., Guo, L., & Sun, M. (2008). Study on the Distribution Modes Selection of the Regional Food Cold Chain. *2008 IEEE International Conference on Service Operations and Logistics, and Informatics*.
  16. Mokrane, S., Buonocore, E., Capone, R., & Franzese, P. P. (2023). Exploring the Global Scientific Literature on Food Waste and Loss. *Sustainability*, 15(6). https://doi.org/10.3390/su15064757
  17. Osvald, A., & Stirn, L. Z. (2008). A Vehicle Routing Algorithm for the Distribution of Fresh Vegetables and Similar Perishable Food. *Journal of Food Engineering*, 85(2), 285-295. https://doi.org/10.1016/j.jfoodeng.2007.07.008
  18. Pulina, P., & Timpanaro, G. (2012). Ethics, Sustainability and Logistics in Agricultural and Agri-Food Economics Research. *Italian Journal of Agronomy*, 7(3), e33-e33.
  19. Regazzoni, D., Pezzotta, G., Persico, S., Cavalieri, S., & Rizzi, C. (2013). Integration of TRIZ Problem Solving Tools in a Product-Service Engineering Process. *The Philosopher's Stone for Sustainability*, Berlin, Heidelberg.
  20. Retseptor, G. (2003). 40 Inventive Principles in Quality Management. *The TRIZ Journal*, 1, 25.
  21. Schanes, K., Dobernig, K., & Gözet, B. (2018). Food Waste Matters - A Systematic Review of Household Food Waste Practices and Their Policy Implications. *Journal of Cleaner Production*, 182, 978-991. https://doi.org/10.1016/j.jclepro.2018.02.030
  22. Secondi, L., Principato, L., & Laureti, T. (2015). Household Food Waste Behaviour in EU-27 Countries: A Multilevel Analysis. *Food Policy*, 56, 25-40. https://doi.org/10.1016/j.food-pol.2015.07.007
  23. Seminar, K. B. (2016). Food Chain Transparency for Food Loss and Waste Surveillance. *Journal of Developments in Sustainable Agriculture*, 11(1), 17-22. https://doi.org/10.11178/jdsa.11.17
  24. Shouhui, C., Jing, H., Shaopei, J., Wenli, Z., Zhongjie, Z., Jin, Z., & Huijun, Z. (2022). Classroom Teaching Design Based on TRIZ Inventive Principles. *The Theory and Practice of Innovation and Entrepreneurship*, 5(21), 150-152. http://www.cxcybjb.com/EN/abstract/article_4919.shtml
  25. Shukla, M., & Jharkharia, S. (2013). Agri-Fresh Produce Supply Chain Management: A State-of-the-Art Literature Review. *International Journal of Operations & Production Management*, 33(2), 114-158.
  26. Ullrich, C. A. (2012). Supply Chain Scheduling: Makespan Reduction Potential. *International Journal of Logistics Research and Applications*, 15(5), 323-336. https://doi.org/10.1080/13675567.2012.742045
  27. Van den Heuvel, F. P., de Langen, P. W., van Donselaar, K. H., & Fransoo, J. C. (2014). Proximity Matters: Synergies Through Co-location of Logistics Establishments. *International Journal of Logistics Research and Applications*, 17(5), 377-395. https://doi.org/10.1080/13675567.2013.870141
  28. Van Giesen, R. I., & de Hooge, I. E. (2019). Too Ugly, but I Love Its Shape: Reducing Food Waste of Suboptimal Products with Authenticity (and Sustainability) Positioning. *Food Quality and Preference*, 75, 249-259. https://doi.org/10.1016/j.food-qual.2019.02.020
  29. Zhang, J., Tan, K.-C., & Chai, K.-H. (2003). Systematic Innovation in Service Design through TRIZ. *The TRIZ Journal*, 9(1), 1013-1022.
Share
Back to top
International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing