Consumer Preferences for Information on Taiwan’s Pork Traceability System

A study on Chinese consumer preferences for food traceability information using best-worst scaling

“…“Picking/slaughtering date” and “history of illness and taking protective measures” are the most preferred information items in the case of pork. These findings are consistent with Chen et al [ 34 ] in the sense that Taiwanese consumers also ranked “slaughtering date” as one of the attributes that they were most concerned about. However, measures similar to “history of illness and taking protective measures” were only ranked in the mid-range by Taiwanese consumers [ 34 ].…”

“…These findings are consistent with Chen et al [ 34 ] in the sense that Taiwanese consumers also ranked “slaughtering date” as one of the attributes that they were most concerned about. However, measures similar to “history of illness and taking protective measures” were only ranked in the mid-range by Taiwanese consumers [ 34 ]. The reason that “history of illness and taking protective measures” was ranked as one of the top two preferred traceable information items in China could be partly due to the continuing incidents of selling pork from diseased or dead pigs, or “zombie meat,” in the past several years.…”

“…In this study, we identified the main types of information about which consumers are concerned and the relative importance of various types of information, and we found consumers showed varying preferences regarding different food categories. The results of this study should encourage both the Chinese government and industry to present information that meets consumer demands via a traceable information sharing platform that will reduce consumer information asymmetries, increase the reliability of products [ 34 ], and lessen the consumer trust crisis [ 19 ]. Furthermore, the implementation of a traceable information sharing platform will not only save the time that consumers spend on information seeking [ 34 ], but also promote consumer supervision of the food industry.…”

Optimal Design of an Olive Oil Mill by Means of the Simulation of a Petri Net Model

“…Number of available lorries, or equivalent transportation means, for supplying the raw olives to the olive oil mill c 2 Number of discs or bags for pressing the olive paste in the traditional method c 3 Number of hydraulic presses available in the traditional method c 4 Number of cool stainless steel silos for storing the resulting virgin olive oil c 5 Number of hammer crushers c 6 Number of disc crushers c 7 Number of depitting machines c 8 Number of knife crushers c 9 Number of mixers for malaxation c 10 Number of pumps for conveying the olive paste to the horizontal decanter (three-phase decanter centrifugator). c 11 Number of three-phase decanter centrifugators c 12 Number of pumps for conveying the olive paste to the horizontal decanter (two-phase decanter centrifugator) c 13 Number of two-phase decanter centrifugators c 14 Number of vertical centrifuges Configuration alternative to the traditional method for obtaining high-quality olive oil d 3 Decantation for separating the oil and the vegetation water d 4 Vertical centrifuge for separating the oil and the vegetation water d 5 Hammer crusher d 6 Disc crusher d 7 Depitting machine d 8 Knife crusher d 9 Three-phase decanter centrifugator d 10 Two-phase decanter centrifugator d 11 Sinolea method d 12 Two-and-a-half-phase decanter centrifugator…”

“…In Section 3.1, the model of the olive oil manufacturing facility in process of being designed is presented and explained. Section 3.2 deals with the decision-making methodology that can be [2] International Journal of Quality and Reliability Management ANP-GP Quality in the food-processing industry Bruzzone and Longo [3] International Journal of Food Engineering Java-based simulation tool Manufacturing system operating in the hazelnuts industry sector Chang [4] British Food Journal ANP þ TOPSIS New food product Chen et al [5] Information Technology Journal ANP Food traceability Kirezieva et al [6] Trends in Food Science and Technology DSS Food management Mhango et al [7] Renewable Agriculture and Food Systems DSS Food diversification Mendoza and Prabhu [8] Forest Ecology and Management AHP Sustainable forest management Quang et al [9] Agricultural Systems Mathematical Programmingbased Multi-Agent Systems…”