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Using Sensor-Based Measurement Technology to Reduce the Environmental Impact of Perishable Goods

Using Sensor-Based Measurement Technology to Reduce the Environmental Impact of Perishable Goods

Alexander Ilic, Thorsten Staake, Elgar Fleisch
Copyright: © 2012 |Pages: 18
ISBN13: 9781609605858|ISBN10: 1609605853|EISBN13: 9781609605865
DOI: 10.4018/978-1-60960-585-8.ch009
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MLA

Ilic, Alexander, et al. "Using Sensor-Based Measurement Technology to Reduce the Environmental Impact of Perishable Goods." Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions, edited by Pietro Evangelista, et al., IGI Global, 2012, pp. 137-154. https://doi.org/10.4018/978-1-60960-585-8.ch009

APA

Ilic, A., Staake, T., & Fleisch, E. (2012). Using Sensor-Based Measurement Technology to Reduce the Environmental Impact of Perishable Goods. In P. Evangelista, A. McKinnon, E. Sweeney, & E. Esposito (Eds.), Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions (pp. 137-154). IGI Global. https://doi.org/10.4018/978-1-60960-585-8.ch009

Chicago

Ilic, Alexander, Thorsten Staake, and Elgar Fleisch. "Using Sensor-Based Measurement Technology to Reduce the Environmental Impact of Perishable Goods." In Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions, edited by Pietro Evangelista, et al., 137-154. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-585-8.ch009

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Abstract

Perishable goods are still a major challenge for supply chains. Temperature fluctuations and other disruptions can occur at various stages of a distribution network. Without sensor technologies, these disruptions are often not detectable in early stages of the supply chains. As a result, losses accumulate at the end of supply chains where a lot of energy as already invested for delivering these goods up to this point. This chapter shows how sensor technologies can enable a new way of data-driven decision making at the distribution stage of a supply chain. It demonstrates when and how sensors can be used for smart removal and sorting decisions. The results indicate that these decisions can reduce the environmental impact and even increase profits significantly.

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