In Brazil, institutional markets emerged as an opportunity for family farmers to distribute their produce and secure and income. However, the lengthy bureaucratic process and relatively high cost associated to the bidding process for such markets determine the challenge faced by family farmers to decide which public calls to subscribe to in order to distribute their products to schools and public institutions through governmental programs as PAA and PNAE. This research proposes a Decision Support System (DSS) based on a mathematical model to help the farmers in the bid/no-bid decision. Based on the individual profitability of the products and the geographical area value concentration criterion, the DSS suggests to the farmers which bids to attend in order to obtain the expected highest profit if the bids are secured.
|Number of pages||8|
|Publication status||Published - 15 Jul 2019|
|Event||25th International Joint Conference on Industrial Engineering and Operations Management - Novi Sad, Serbia|
Duration: 15 Jul 2019 → 17 Jul 2019
|Conference||25th International Joint Conference on Industrial Engineering and Operations Management|
|Period||15/07/19 → 17/07/19|
- institutional markets
- public bidding
- family farmers
- decision support system
- mixed integer linear programming
Fuchigami, HY., Barbosa, LQ., Severino, MR., Rentizelas, A., & Tuni, A. (2019). A decision support model for assisting smallholder farmers on bidding to supply to institutional markets. Paper presented at 25th International Joint Conference on Industrial Engineering and Operations Management, Novi Sad, Serbia.