Fruit and Vegetable Supply Chain Management (F&V SCM) requires more intelligent technology to improve postharvest loss prevention; however, the current technology has to be improved to reduce the lead times and perishability dynamics in an intelligent F&V supply chain. This can be achieved by developing a more accurate environmental monitoring using advanced measurement techniques and by introducing new gold nanoparticle sensors (Au-NP-sensors) which would allow direct sensing of rotting or decaying. This paper presents the possibility how to measure the impact of these technologies on the management of fruit and vegetable supply chains, i.e. from packaging, warehousing to fruit and vegetable distribution, and thus improving the supply chain safety by tracking and tracing cargo and its environment. The evaluation of these new technologies is proposed through the Net Present Value approach of extended MRP models.

Investments in smart nano-control systems in cold supply chains

BOGATAJ, DAVID;
2015

Abstract

Fruit and Vegetable Supply Chain Management (F&V SCM) requires more intelligent technology to improve postharvest loss prevention; however, the current technology has to be improved to reduce the lead times and perishability dynamics in an intelligent F&V supply chain. This can be achieved by developing a more accurate environmental monitoring using advanced measurement techniques and by introducing new gold nanoparticle sensors (Au-NP-sensors) which would allow direct sensing of rotting or decaying. This paper presents the possibility how to measure the impact of these technologies on the management of fruit and vegetable supply chains, i.e. from packaging, warehousing to fruit and vegetable distribution, and thus improving the supply chain safety by tracking and tracing cargo and its environment. The evaluation of these new technologies is proposed through the Net Present Value approach of extended MRP models.
2015
Proceedings of the 13th International Symposium on Operational Research, SOR 2015
9789616165457
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3235183
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