A webGIS-based system for real time shelf life prediction

Sciortino, Rosanna; Micale, Rosa; Enea, Mario

doi:10.1016/j.compag.2016.07.004

Cited by 39 publications

(22 citation statements)

References 19 publications

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“…However, these estimates were obtained considering simple cold chains (generally 1 distribution system and a few retailers) with a constant temperature at each step and are therefore not very robust. More realistic estimates of the economic, social, and environmental contributions of management systems based on time–temperature measurement may now be possible as a result of the European FRISBEE project, during which hundreds of time–temperature histories of perishable food along the cold chain have been measured and compiled in an online database, in combination with geospatial systems detailing cold chain networks at national scales (Gwanpua and others ; LeBlanc and others ; Sciortino and others ). Efforts should be made to merge the recent knowledge of time–temperature conditions along current commercial cold chains with detailed geospatial descriptions of cold chain networks for accurate economic, social, and environmental forecasts.…”

Section: Discussionmentioning

confidence: 99%

Time–Temperature Management Along the Food Cold Chain: A Review of Recent Developments

Mercier

Villeneuve

Mondor

et al. 2017

Comp Rev Food Sci Food Safe

413

224

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The cold chain is responsible for the preservation and transportation of perishable foods in the proper temperature range to slow biological decay processes and deliver safe and high-quality foods to consumers. Studies show that the efficiency of the cold chain is often less than ideal, as temperature abuses above or below the optimal productspecific temperature range occur frequently, a situation that significantly increases food waste and endangers food safety. In this work, field studies on time-temperature conditions at each critical stage of the cold chain are reviewed to assess the current state of commercial cold chains. Precooling, ground operations during transportation, storage during display at retail and in domestic refrigerators, and commercial handling practices are identified and discussed as the major weaknesses in the modern cold chain. The improvement in efficiency achieved through the measurement, analysis, and management of time-temperature conditions is reviewed, along with the accompanying technical and practical challenges delaying the implementation of such methods. A combination of prospective experimental and modeling research on precooling uniformity, responsive food inventory management systems, and cold chains in developing countries is proposed for the improvement of the cold chain at the global scale.

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Section: Discussionmentioning

confidence: 99%

Time–Temperature Management Along the Food Cold Chain: A Review of Recent Developments

Mercier

Villeneuve

Mondor

et al. 2017

Comp Rev Food Sci Food Safe

413

224

View full text Add to dashboard Cite

show abstract

“…The shelf life of the products has been a longstanding problem in warehouses [79]. With the development of big data technology, it becomes possible to predict the shelf life of the products.…”

Section: Shelf Life Prediction With Multi-source Data Fusionmentioning

confidence: 99%

CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies

et al. 2018

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This paper discusses how the state-of-the-art techniques in cyber-physical systems facilitate building smart warehouses to achieve the promising vision of industry 4.0. We focus on four significant issues when applying CPS techniques in smart warehouses. First, efficient CPS data collection: when limited communication bandwidth meets numerous CPS devices, we need to make more effort to study efficient wireless communication scheduling strategies. Second, accurate and robust localization: localization is the basis for many fundamental operations in smart warehouses, but still needs to be improved from various aspects like accuracy and robustness. Third, human activity recognition: human activity recognition can be applied in human-computer interaction for remote machine operations. Fourth, multi-robot collaboration: smart robots will take the place of humans to accomplish most tasks particularly in a harsh environment, and smart and fully-distributed robot collaborating algorithms should be investigated. Finally, we point out some challenging issues in the future CPS-based smart warehouse, which could open some new research directions.

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“…Tracking and predicting the quality of perishable food was quite a difficult task before modern technologies were developed, such as radio frequency identification (RFID), wireless sensor technology and the humidity-temperature sensor. Nowadays, with these technologies and quality prediction models, we can predict the remaining shelf life of a perishable product as its quality, which is the main interest for retailers and customers [12][13][14][15]. According to Labuza [12], the quality degradation of perishable food is affected by several factors: the storage time, the ambient temperature, and the ambient atmosphere condition.…”

Section: Quality Deteriorationmentioning

confidence: 99%

The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation

Xiao

Yang

2016

Sustainability

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Abstract:Managing perishable food in a retail store is quite difficult because of the product's short lifetime and deterioration. Many elements, such as price, shelf space allocation, and quality, which can affect the consumption rate, should be taken into account when the perishable food retail chain is designed. The modern tracking technologies provide good opportunities to improve the management of the perishable food retail chain. In this research, we develop a mathematical model for a single-item retail chain and determine the pricing strategy, shelf space allocation, and order quantity to maximize the retailer's total profit with the application of tracking technologies. Then the single-item retail chain is extended into a multi-item one with a shelf space capacity and a simple algorithm is developed to find the optimal allocation of shelf space among these items. Finally, numerical experiments and real-life examples are conducted to illustrate the proposed models.

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A webGIS-based system for real time shelf life prediction

Cited by 39 publications

References 19 publications

Time–Temperature Management Along the Food Cold Chain: A Review of Recent Developments

Time–Temperature Management Along the Food Cold Chain: A Review of Recent Developments

CPS-Based Smart Warehouse for Industry 4.0: A Survey of the Underlying Technologies

The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation

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