抄録
This paper considers an agricultural supply chain management to find the best matching between farmers and retailers with contract according to their preferences. It is important to construct the agricultural production system to hold the win-win relationship considering transportation costs. Therefore, in this paper, a mathematical programming problem is formulated to find the optimal matching between farmers and retailers under several uncertainties. It is generally difficult to obtain the best solution directly in terms of multiobjectivity and uncertainty. Therefore, the flexible modeling and the efficient algorithm to obtain these optimal solutions are also developed using a data-driven approach using our proposed information system.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings |
| 編集者 | Ilkyeong Moon, Jinwoo Park, Gyu M. Lee, Dimitris Kiritsis, Gregor von Cieminski |
| 出版者 | Springer New York LLC |
| ページ | 43-49 |
| ページ数 | 7 |
| ISBN（印刷物） | 9783319997032 |
| DOI | |
| 出版物ステータス | Published - 2018 1 1 |
| イベント | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 - Seoul, Korea, Republic of 継続期間: 2018 8 26 → 2018 8 30 |
出版物シリーズ
| 名前 | IFIP Advances in Information and Communication Technology |
|---|---|
| 巻 | 535 |
| ISSN（印刷物） | 1868-4238 |
Other
| Other | IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018 |
|---|---|
| 国 | Korea, Republic of |
| 市 | Seoul |
| 期間 | 18/8/26 → 18/8/30 |
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ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
- Information Systems and Management
これを引用
Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers. / Hasuike, Takashi; Kashima, Tomoko; Matsumoto, Shimpei.
Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings. 版 / Ilkyeong Moon; Jinwoo Park; Gyu M. Lee; Dimitris Kiritsis; Gregor von Cieminski. Springer New York LLC, 2018. p. 43-49 (IFIP Advances in Information and Communication Technology; 巻 535).研究成果: Conference contribution
}
TY - GEN
T1 - Mathematical modelling for sustainable agricultural supply chain management considering preferences between farmers and retailers
AU - Hasuike, Takashi
AU - Kashima, Tomoko
AU - Matsumoto, Shimpei
PY - 2018/1/1
Y1 - 2018/1/1
N2 - This paper considers an agricultural supply chain management to find the best matching between farmers and retailers with contract according to their preferences. It is important to construct the agricultural production system to hold the win-win relationship considering transportation costs. Therefore, in this paper, a mathematical programming problem is formulated to find the optimal matching between farmers and retailers under several uncertainties. It is generally difficult to obtain the best solution directly in terms of multiobjectivity and uncertainty. Therefore, the flexible modeling and the efficient algorithm to obtain these optimal solutions are also developed using a data-driven approach using our proposed information system.
AB - This paper considers an agricultural supply chain management to find the best matching between farmers and retailers with contract according to their preferences. It is important to construct the agricultural production system to hold the win-win relationship considering transportation costs. Therefore, in this paper, a mathematical programming problem is formulated to find the optimal matching between farmers and retailers under several uncertainties. It is generally difficult to obtain the best solution directly in terms of multiobjectivity and uncertainty. Therefore, the flexible modeling and the efficient algorithm to obtain these optimal solutions are also developed using a data-driven approach using our proposed information system.
KW - Agricultural supply chain management
KW - Data-driven approach
KW - Mathematical programming
UR - http://www.scopus.com/inward/record.url?scp=85053259814&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053259814&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-99704-9_6
DO - 10.1007/978-3-319-99704-9_6
M3 - Conference contribution
AN - SCOPUS:85053259814
SN - 9783319997032
T3 - IFIP Advances in Information and Communication Technology
SP - 43
EP - 49
BT - Advances in Production Management Systems. Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - IFIP WG 5.7 International Conference, APMS 2018, Proceedings
A2 - Moon, Ilkyeong
A2 - Park, Jinwoo
A2 - Lee, Gyu M.
A2 - Kiritsis, Dimitris
A2 - von Cieminski, Gregor
PB - Springer New York LLC
ER -