This study contributes to the assessment of the sustainable food system in Thailand, showing that governance, distribution and storage lead to technological innovation under uncertainties. Prior studies to evaluate attributes of the sustainable food system under uncertainties are lacking. By nature, the sustainable food system has various attributes and applies the fuzzy Delphi method to construct a valid set of measurements of qualitative information. This study uses a fuzzy decision-making trial and evaluation laboratory method to visualize the causal-effect interrelationships among the proposed attributes. The food system needs to include governance and behavioral changes to assess quality, food waste and production. Practical solutions must focus on enhancing environmental friendliness, product labeling for authenticity arguments, and the reuse and recycling of products. The results show that production assessment and distribution and storage lead to technological innovation.
|Number of pages||18|
|Journal||Journal of Industrial and Production Engineering|
|Early online date||18 Jul 2021|
|Publication status||Published - 2 Jan 2022|
Bibliographical noteThis is an Accepted Manuscript version of the following article, accepted for publication in Journal of Industrial and Production Engineering, Tseng, M-L, Lim, M, Ali, MH, Christianti, G & Juladachah, P 2022, 'Assessing the sustainable food system in Thailand under uncertainties: governance, distribution and storage drive technological innovation', Journal of Industrial and Production Engineering, vol. 39, no. 1, pp. 1-18.
It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
FunderMinistry of Science and Technology, Taiwan (109-2622-E-468 −002 -)
- Sustainable food system
- causal-effect analysis
- fuzzy delphi method
- fuzzy dematel
- multi-criteria decision making
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering