TY - JOUR
T1 - Research directions in technology development to support real-time decisions of fresh produce logistics
T2 - A review and research agenda
AU - Villalobos, J. René
AU - Soto-Silva, Wladimir E.
AU - González-Araya, Marcela C.
AU - González-Ramirez, Rosa G.
N1 - Funding Information:
We would like to thank the Fulbright Commission of Chile, the Foundation for Food and Agricultural Research (Grant CA18-SS-0000000116 ) for its support for the realization of the work underlying this paper, as well as the CYTED program for its support of the thematic network BigDSS-Agro [Project P515RT0123].
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/12
Y1 - 2019/12
N2 - Recent developments in consumption patterns, lowering of trade barriers, the emergence of low cost/miniature sensors and information technologies, and advanced business analytics tools are changing the playing field on which most of the agri-food supply chains operate. The intelligent use of sensing and information technologies has the potential to start a new food revolution in which limited resources such as water, capital, transportation capacity and labor could be optimally exploited so that fresh food, in particular fruits and vegetables, get to the consumer with minimal or no food waste. One of the keys for making this vision a reality is transforming the data collected as these products traverse the supply chain into effective and efficient supply chain decisions. This transformation relies on that the underlying decision systems that take advantage of this data exist or can be developed. The aim of this paper is to provide an overview of the state of the art and challenges and opportunities emerging from the integration of sensing data and information into decision support systems for supply chain of fresh fruits and vegetables.
AB - Recent developments in consumption patterns, lowering of trade barriers, the emergence of low cost/miniature sensors and information technologies, and advanced business analytics tools are changing the playing field on which most of the agri-food supply chains operate. The intelligent use of sensing and information technologies has the potential to start a new food revolution in which limited resources such as water, capital, transportation capacity and labor could be optimally exploited so that fresh food, in particular fruits and vegetables, get to the consumer with minimal or no food waste. One of the keys for making this vision a reality is transforming the data collected as these products traverse the supply chain into effective and efficient supply chain decisions. This transformation relies on that the underlying decision systems that take advantage of this data exist or can be developed. The aim of this paper is to provide an overview of the state of the art and challenges and opportunities emerging from the integration of sensing data and information into decision support systems for supply chain of fresh fruits and vegetables.
KW - Decision making
KW - Fresh produce supply chain
KW - Information systems and technology
KW - Decision making
KW - Fresh produce supply chain
KW - Information systems and technology
UR - http://www.scopus.com/inward/record.url?scp=85075342944&partnerID=8YFLogxK
U2 - 10.1016/j.compag.2019.105092
DO - 10.1016/j.compag.2019.105092
M3 - Review article
AN - SCOPUS:85075342944
SN - 0168-1699
VL - 167
JO - Computers and Electronics in Agriculture
JF - Computers and Electronics in Agriculture
M1 - 105092
ER -