arrow
Return

Managing food traceability information using EPCIS framework

delete2011-04-01
delete64
PRE
AI
M
Maitri Thakur *
C
Carl-Fredrik Sørensen
F
Finn Olav Bjørnson
C
Charles R. Hurburgh
DOI:10.1016/j.jfoodeng.2010.11.012delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This paper introduces a new methodology for modeling traceability information using the EPCIS framework and UML statecharts. The method follows the approach of defining states and transitions in food production. A generic model is presented and evaluated based on its practical application by providing illustrations from two supply chains; frozen mackerel production and corn wet milling processes. All states and transitions for these processes as well as the information that needs to be captured for each state are indentified. This includes the product, process and quality information. The model presented in this paper is not just another process modeling tool but is used for mapping of food production processes to provide improved description and integration of traceability information. Information exchange technologies such as EPCIS are used for monitoring events based on logistic processes. Application of current EPCIS framework for managing food traceability information is presented by mapping the transitions identified in two product chains to the EPCIS events. The corresponding quality parameters to be linked to these EPCIS events are also identified. It was practical to map food production transitions for frozen mackerel to two EPCIS events; ObjectEvent and AggregationEvent. Because, EPCIS is based on discrete recording of events and event locations and corn wet milling is a continuous process, it was not possible to map transitions to AggregationEvent. Thus, quality parameters for transformation events for corn wet milling were linked to the subsequent ObjectEvent to provide certain extent of discretization. (C) 2010 Elsevier Ltd. All rights reserved.
Keywords:
Food traceability
States and transitions in food production
UML statecharts
EPCIS events
Mackerel production
Corn wet milling
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Food Engineering cover
Journal of Food Engineering
IF:
5.8
Papers:
1.1W
Citations:
3.3W

Organization

I
Iowa State University
Scholars:
2.1W
Papers: 1.8W
Citations: 2.5W
S
SINTEF
Scholars:
3.5K
Papers: 4.0K
Citations: 1
Cited Papers

Cited Papers

A New Racemase for 5-Monosubstituted Hydantoins
err1992-11-01
err0
PREAI
errMARKUS PIETZSCH; CHRISTOPH SYLDATK; FRITZ WAGNER
errShare
errSave
On Proposing Statecharts to Specify Performance Models
err2002-12-16
err0
PREAI
errNandamudi Lankalapalli Vijaykumar; Solon Venancio de Carvalho; Vakulathil Abdurahiman
errShare
errSave
Information models leveraging identification of returnable transport items
err2010-06-15
err12
PREAI
errSenneset, Gunnar; Midtstraum, Roger; Foras, Eskil; Vevle, Geir; Mykland, Ingvill H.
errShare
errSave
Managing traceability information in manufacture
err2003-10-01
err209
PREAI
errJansen-Vullers, MH; van Dorp, CA; Beulens, AJM
errShare
errSave
The importance of transformations for traceability - A case study of lamb and lamb products
err2009-09-01
err55
PREAI
errDonnelly, Kathryn Anne-Marie; Karlsen, Kine Mari; Olsen, Petter
errShare
errSave
Performance evaluation based on system modeling using Statecharts extensions
err2005-10-01
err14
PREAI
errFrancês, CRL; Oliveira, EDL; Costa, JCWA; Santana, MJ; Santana, RHC; Bruschi, SM; Vijaykumar, NL; de Carvalho, SV
errShare
errSave
errShare
errSave
Patterns and technologies for enabling supply chain traceability through collaborative e-business
err2008-03-01
err160
PREAI
errBechini, Alessio; Cimino, Mario G. C. A.; Marcelloni, Francesco; Tomasi, Andrea
errShare
errSave
researcher View more