2015
DOI: 10.1016/j.wasman.2015.08.033
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Quantity and quality of food losses along the Swiss potato supply chain: Stepwise investigation and the influence of quality standards on losses

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Cited by 81 publications
(80 citation statements)
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“…Processing methods for potatoes, tubers and vegetables, such as mechanical peeling and handling, can cause very high amounts of waste [64,65] and this may reflect the advanced technology of European food production systems. The soft nature of many fruits and vegetables makes them susceptible to damage during automated harvest and handling, although much research has been undertaken in this area in recent decades [56].…”
Section: Fw Drivers Related To Collateral Effects Of Modern Technologmentioning
confidence: 99%
See 1 more Smart Citation
“…Processing methods for potatoes, tubers and vegetables, such as mechanical peeling and handling, can cause very high amounts of waste [64,65] and this may reflect the advanced technology of European food production systems. The soft nature of many fruits and vegetables makes them susceptible to damage during automated harvest and handling, although much research has been undertaken in this area in recent decades [56].…”
Section: Fw Drivers Related To Collateral Effects Of Modern Technologmentioning
confidence: 99%
“…), consumers choose the food products that show the best external appearance, even when they know that the products left unselected on the shelves, in general, do not have inferior taste and nutritional qualities. The selective behaviour of consumers with respect to the aesthetical appearance of food, being transmitted from retailers and food services to all the upstream segments, affects the organization of the whole FSC and is considered a major FW driver [1,16,33,36,45,49,65,83,85,86].…”
Section: Fw Drivers Related To Consumers' Individual Behaviours That mentioning
confidence: 99%
“…We sort transactions as either fresh fruit or vegetable sales. Since it has been documented that low-quality products are more likely to be lost in the FLW literature [27], we define several variables for product quality. In accordance with the information contained in the dataset, the quality of produce is categorized based on a grading system classifying products into excellent, good, normal, and low-grade produce.…”
Section: Datasetsmentioning
confidence: 99%
“…Traditionally, customers measure product quality through infull and on-time deliveries and according to the company's ability to comply with certain product characteristics (Willersinn et al, 2015). For this reason, wineries and any other food SC must strive to provide quality products and meet established standards (Trienekens et al, 2014).…”
Section: Quality In the Supply Chainmentioning
confidence: 99%