Optimization Models of Food Processing Wild-Growing Products with Expert Assessments
- 10.2991/iwci-19.2019.19How to use a DOI?
- mathematical modeling; wild-growing food resources; expert assessments; clusters
The paper proposes models for maximizing cluster incomes for the harvesting of wild-growing products, taking into account the areas and possible fishing volumes, yields of taiga resources, labor costs and production costs. A multi-criteria linear programming problem and problems with interval and random parameters are considered. The analysis of the initial data used to model cluster activity is given. The labor costs for obtaining forest products, the yield of wild-growing plants and the cost of production are proposed to determine by expert means in the form of average and interval estimates. The results of optimization of the procurement of food wild-growing products for potential clusters of the Irkutsk region were obtained
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yaroslav Ivanyo AU - Sofia Petrova PY - 2019/09 DA - 2019/09 TI - Optimization Models of Food Processing Wild-Growing Products with Expert Assessments BT - Proceedings of the VIth International Workshop 'Critical Infrastructures: Contingency Management, Intelligent, Agent-Based, Cloud Computing and Cyber Security' (IWCI 2019) PB - Atlantis Press SP - 108 EP - 113 SN - 1951-6851 UR - https://doi.org/10.2991/iwci-19.2019.19 DO - 10.2991/iwci-19.2019.19 ID - Ivanyo2019/09 ER -