Optimization model as a decision support system for participating in public tenders for feeding programs

Helio Fuchigami, Maico Roris Severino, Athanasios Rentizelas, Andrea Tuni, Lie Yamanaka

Research output: Contribution to conferenceAbstract

Abstract

Communities of small family farmers are among the poorest and most vulnerable segments of Brazilian society, so any increase in their disposable income would make a significant difference in their living standards. In response to this social problem, Brazilian authorities have developed programs to encourage family farming (such as the PAA - Food Acquisition Program and the PNAE - National School Feeding Program, in English), giving family farmers priority to the provision of agricultural products and food to schools and public institutions. However, farmers face a challenge both in deciding which public calls they subscribe to and in distributing their products to schools and public institutions. They struggle also in identifying which areas and contracts to compete for, leading to reduced participation of vulnerable farmers in government programs specifically designed to support them. To this end, a decision support system (DSS) based on an optimization model was developed to address this problem. The DSS allows farmers to identify which bids to attend based on a two-phase-gate process, which evaluates bids based on their individual profitability as well as on a geographical area value concentration criteria.

Conference

Conference30th European Conference on Operational Research
Abbreviated titleEURO
CountryIreland
CityDublin
Period23/06/1926/06/19
Internet address

Fingerprint

decision support systems
farmers
social problems
governmental programs and projects
agricultural products
profitability
income
farming systems

Keywords

  • developing countries
  • optimization modeling
  • programming, mixed-integer

Cite this

Fuchigami, H., Severino, M. R., Rentizelas, A., Tuni, A., & Yamanaka, L. (2019). Optimization model as a decision support system for participating in public tenders for feeding programs. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.
Fuchigami, Helio ; Severino, Maico Roris ; Rentizelas, Athanasios ; Tuni, Andrea ; Yamanaka, Lie. / Optimization model as a decision support system for participating in public tenders for feeding programs. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.
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abstract = "Communities of small family farmers are among the poorest and most vulnerable segments of Brazilian society, so any increase in their disposable income would make a significant difference in their living standards. In response to this social problem, Brazilian authorities have developed programs to encourage family farming (such as the PAA - Food Acquisition Program and the PNAE - National School Feeding Program, in English), giving family farmers priority to the provision of agricultural products and food to schools and public institutions. However, farmers face a challenge both in deciding which public calls they subscribe to and in distributing their products to schools and public institutions. They struggle also in identifying which areas and contracts to compete for, leading to reduced participation of vulnerable farmers in government programs specifically designed to support them. To this end, a decision support system (DSS) based on an optimization model was developed to address this problem. The DSS allows farmers to identify which bids to attend based on a two-phase-gate process, which evaluates bids based on their individual profitability as well as on a geographical area value concentration criteria.",
keywords = "developing countries, optimization modeling, programming, mixed-integer",
author = "Helio Fuchigami and Severino, {Maico Roris} and Athanasios Rentizelas and Andrea Tuni and Lie Yamanaka",
year = "2019",
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note = "30th European Conference on Operational Research, EURO ; Conference date: 23-06-2019 Through 26-06-2019",
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Fuchigami, H, Severino, MR, Rentizelas, A, Tuni, A & Yamanaka, L 2019, 'Optimization model as a decision support system for participating in public tenders for feeding programs' 30th European Conference on Operational Research, Dublin, Ireland, 23/06/19 - 26/06/19, .

Optimization model as a decision support system for participating in public tenders for feeding programs. / Fuchigami, Helio; Severino, Maico Roris; Rentizelas, Athanasios; Tuni, Andrea; Yamanaka, Lie.

2019. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.

Research output: Contribution to conferenceAbstract

TY - CONF

T1 - Optimization model as a decision support system for participating in public tenders for feeding programs

AU - Fuchigami, Helio

AU - Severino, Maico Roris

AU - Rentizelas, Athanasios

AU - Tuni, Andrea

AU - Yamanaka, Lie

PY - 2019/6/24

Y1 - 2019/6/24

N2 - Communities of small family farmers are among the poorest and most vulnerable segments of Brazilian society, so any increase in their disposable income would make a significant difference in their living standards. In response to this social problem, Brazilian authorities have developed programs to encourage family farming (such as the PAA - Food Acquisition Program and the PNAE - National School Feeding Program, in English), giving family farmers priority to the provision of agricultural products and food to schools and public institutions. However, farmers face a challenge both in deciding which public calls they subscribe to and in distributing their products to schools and public institutions. They struggle also in identifying which areas and contracts to compete for, leading to reduced participation of vulnerable farmers in government programs specifically designed to support them. To this end, a decision support system (DSS) based on an optimization model was developed to address this problem. The DSS allows farmers to identify which bids to attend based on a two-phase-gate process, which evaluates bids based on their individual profitability as well as on a geographical area value concentration criteria.

AB - Communities of small family farmers are among the poorest and most vulnerable segments of Brazilian society, so any increase in their disposable income would make a significant difference in their living standards. In response to this social problem, Brazilian authorities have developed programs to encourage family farming (such as the PAA - Food Acquisition Program and the PNAE - National School Feeding Program, in English), giving family farmers priority to the provision of agricultural products and food to schools and public institutions. However, farmers face a challenge both in deciding which public calls they subscribe to and in distributing their products to schools and public institutions. They struggle also in identifying which areas and contracts to compete for, leading to reduced participation of vulnerable farmers in government programs specifically designed to support them. To this end, a decision support system (DSS) based on an optimization model was developed to address this problem. The DSS allows farmers to identify which bids to attend based on a two-phase-gate process, which evaluates bids based on their individual profitability as well as on a geographical area value concentration criteria.

KW - developing countries

KW - optimization modeling

KW - programming, mixed-integer

UR - https://www.euro2019dublin.com/

M3 - Abstract

ER -

Fuchigami H, Severino MR, Rentizelas A, Tuni A, Yamanaka L. Optimization model as a decision support system for participating in public tenders for feeding programs. 2019. Abstract from 30th European Conference on Operational Research, Dublin, Ireland.