Arslan, Farrukh and Singh, Bhopendra and Sharma, D.K and Regin, R. and Steffi, R. and Suman Rajest, S. (2021) Optimization Technique Approach to Resolve Food Sustainability Problems. 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE). pp. 25-30.
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Abstract
the authors suggest possible arrangements
between different supermarket chains in this study, using a
strategic methodology and game theory to develop a modern,
with generations to come, effectively diets. The authors will specifically acknowledge service providers and sellers of vegetarian (vegetarian) but semi (or non-vegetarian) foods. The strategic approach being used by authors offers a model of mathematical game theory that could help vegan food
manufacturers get easier entrants and free substantial ads.
Besides that, the template could allow non-vegetarian food
producers to turn to vegan and vegetarian production
seamlessly. In particular, the authors suggest an
arrangement between McDonald's and Muscle of Wheat
since they assume that without the aid of a major food
supplier already on the market, Wheat's strength will not
reach a global market. The game theory model describes an
irregular R&D partnership between McDonald's and
strength of Wheat. Demand for food items that are organic,
nutritious, and environmentally friendly has been growing.
In response, producers' market natural or other qualitydifferentiated foods, often claiming to have implemented good habits focused on environmental welfare. These goods have unfalsifiable consistency characteristics, as well. Because the seller may deceive the buyer with a baseless assertion, the manufacturer who maximizes profit can earn a better price with lower production costs. The research addressed in this paper indicates that the availability of highquality certificates requires regular agreements and thirdparty oversight. Policy implications of this research are recorded for national organic food criteria.
Item Type: | Article |
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Subjects: | Mathematics > Real Analysis |
Divisions: | Mathematics |
Depositing User: | Mr IR Admin |
Date Deposited: | 16 Sep 2024 05:40 |
Last Modified: | 16 Sep 2024 05:40 |
URI: | https://ir.vistas.ac.in/id/eprint/6164 |