Shelf life modelling for first-expired-first-out warehouse management

Hertog, Maarten; Uysal, Ismail; Carthy, Ultan Mc; Verlinden, Bert M.; Nicolaı̈, Bart

doi:10.1098/rsta.2013.0306

Cited by 95 publications

(83 citation statements)

References 53 publications

(63 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We start our discussion with an article providing a general overview of how the relationship between food quality losses and transport conditions can be modelled and how this information can be used to optimize the management of the supply chain [2]. The centrepieces of this Theme Issue are three case studies on how to reduce losses and improve quality by using better quality monitoring, biological modelling of the shelf life and FEFO adjustments:…”

Section: Discussionmentioning

confidence: 99%

“…Although most of the models presented in this Theme Issue [2][3][4][5] include factors such as humidity and atmospheric gas concentrations, they all agree on the point that temperature is the most critical factor influencing quality. The spread of models presented in this Theme Issue shows that there is no unique approach.…”

Section: Definition and Selection Of The Shelf Life Modelmentioning

confidence: 99%

“…The shelf life mainly depends on temperature deviations during transport and storage [2]. Simply knowing the maximum or peak temperature as measured in most commercial supply chains is not particularly helpful.…”

Section: Making Use Of Shelf Life Information For Supply Chain Planningmentioning

confidence: 99%

See 2 more Smart Citations

Reducing food losses by intelligent food logistics

Jedermann

Nicometo

Uysal

et al. 2014

Phil. Trans. R. Soc. A.

Self Cite

187

126

View full text Add to dashboard Cite

The need to feed an ever-increasing world population makes it obligatory to reduce the millions of tons of avoidable perishable waste along the food supply chain. A considerable share of these losses is caused by non-optimal cold chain processes and management. This Theme Issue focuses on technologies, models and applications to monitor changes in the product shelf life, defined as the time remaining until the quality of a food product drops below an acceptance limit, and to plan successive chain processes and logistics accordingly to uncover and prevent invisible or latent losses in product quality, especially following the first-expired-first-out strategy for optimized matching between the remaining shelf life and the expected transport duration. This introductory article summarizes the key findings of this Theme Issue, which brings together research study results from around the world to promote intelligent food logistics. The articles include three case studies on the cold chain for berries, bananas and meat and an overview of different post-harvest treatments. Further contributions focus on the required technical solutions, such as the wireless sensor and communication system for remote quality supervision, gas sensors to detect ethylene as an indicator of unwanted ripening and volatile components to indicate mould infections. The final section of this introduction discusses how improvements in food quality can be targeted by strategic changes in the food chain.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Definition and Selection Of The Shelf Life Modelmentioning

confidence: 99%

See 1 more Smart Citation

Reducing food losses by intelligent food logistics

Jedermann

Nicometo

Uysal

et al. 2014

Phil. Trans. R. Soc. A.

Self Cite

187

126

View full text Add to dashboard Cite

show abstract

“…The additional information gained from sensors from IP can be incorporated in quality-change models during the complete distribution process, leading to knowledge about product quality status at its finally destination (Hertog et al 2014). This advanced logistics decision-making is called 'qualitycontrolled logistics' (QCL) (Van der Vorst et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Options for reducing food waste by quality-controlled logistics using intelligent packaging along the supply chain

Heising

Claassen

Dekker

2017

Food Additives & Contaminants: Part A

View full text Add to dashboard Cite

Optimising supply chain management can help to reduce food waste. This paper describes how intelligent packaging can be used to reduce food waste when used in supply chain management based on quality-controlled logistics (QCL). Intelligent packaging senses compounds in the package that correlate with the critical quality attribute of a food product. The information on the quality of each individual packaged food item that is provided by the intelligent packaging can be used for QCL. In a conceptual approach it is explained that monitoring food quality by intelligent packaging sensors makes it possible to obtain information about the variation in the quality of foods and to use a dynamic expiration date (IP-DED) on a food package. The conceptual approach is supported by quantitative data from simulations on the effect of using the information of intelligent packaging in supply chain management with the goal to reduce food waste. This simulation shows that by using the information on the quality of products that is provided by intelligent packaging, QCL can substantially reduce food waste. When QCL is combined with dynamic pricing based on the predicted expiry dates, a further waste reduction is envisaged. ARTICLE HISTORY

show abstract

“…The transport operator can initiate measurements to remedy obvious mistakes such as wrong temperature set points. Products that are still acceptable for consumption with a reduced shelf life that is insufficient for extended transport routes can be assigned to immediate sale in nearby locations [3].…”

Section: Introductionmentioning

confidence: 99%

Communication techniques and challenges for wireless food quality monitoring

Jedermann

Pötsch

Lloyd

2014

Phil. Trans. R. Soc. A.

View full text Add to dashboard Cite

Remote measurement of product core temperature is an important prerequisite to improve the cool chain of food products and reduce losses. This paper examines and shows possible solutions to technical challenges that still hinder practical applications of wireless sensor networks in the field of food transport supervision. The high signal attenuation by water-containing products limits the communication range to less than 0.5 m for the commonly used 2.4 GHz radio chips. By theoretical analysis of the dependency of signal attenuation on the operating frequency, we show that the signal attenuation can be largely reduced by the use of 433 MHz or 866 MHz devices, but forwarding of messages over multiple hops inside a sensor network is mostly unavoidable to guarantee full coverage of a packed container. Communication protocols have to provide compatibility with widely accepted standards for integration into the global Internet, which has been achieved by programming an implementation of the constrained application protocol for wireless sensor nodes and integrating into IPv6-based networks. The sensor's battery lifetime can be extended by optimizing communication protocols and by in-network pre-processing of the sensor data. The feasibility of remote freight supervision was demonstrated by our full-scale ‘Intelligent Container’ prototype.

show abstract

Shelf life modelling for first-expired-first-out warehouse management

Cited by 95 publications

References 53 publications

Reducing food losses by intelligent food logistics

Reducing food losses by intelligent food logistics

Options for reducing food waste by quality-controlled logistics using intelligent packaging along the supply chain

Communication techniques and challenges for wireless food quality monitoring

Contact Info

Product

Resources

About