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
N1 - Publisher Copyright:
© 2018, IFIP International Federation for Information Processing.
PY - 2018
Y1 - 2018
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 - von Cieminski, Gregor
A2 - Kiritsis, Dimitris
A2 - Lee, Gyu M.
A2 - Moon, Ilkyeong
A2 - Park, Jinwoo
PB - Springer New York LLC
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2018
Y2 - 26 August 2018 through 30 August 2018
ER -