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Increased focus on safe and healthy food has resulted in the need for implementing electronic chain traceability. This poses challenges both regarding technical solutions and business processes. The purpose of this paper is to report from a research project where implementation in a value chain for farmed salmon is used to investigate these challenges.

The first step in the project was to establish a complete value chain for farmed salmon as a basis for further study. The second step was to use theoretical concepts of internal traceability and chain traceability as a basis for analyzing the status of each company regarding readiness to implement electronic chain traceability. The third step was to compare the final level of implementation in each company with the level of implementation readiness at the start of the project.

Implementation of electronic chain traceability may involve changes both in work processes and software systems. This study shows that a set of criteria regarding implementation readiness can be used to assess the challenges and risks involved. Coherence between implementation readiness and the final level of implementation is indicated.

This research is limited to companies in a specific food sector. The generalization of the results for use in other sectors needs to be investigated.

Because of the increasing demand for improving chain traceability, it can be expected that implementation readiness regarding electronic chain traceability solutions will be an important factor in selecting partners in food value chains.

The large number of companies involved in this study is a good basis for evaluating the complexity of implementing electronic chain traceability. This paper describes guidelines and assessment criteria for companies planning to implement such solutions.

New technology for equipping returnable transport items (RTI) with unique identification (e.g. RFID) give food industry companies new opportunities for improving business processes. The efficient exploitation poses new demands on the information technology systems in general and on the underlying information models in particular. This paper aims to introduce a generic information model where functionality for handling RTIs with unique identification is included.

Functional requirements are analysed based on process descriptions and use case examples from a real production environment. Detailed information modelling was then done in several iterations using entity‐relationship diagrams. Validation of the model was done based on use cases typical for the food industry.

The model described is developed within the broad scope of looking at opportunities for using wireless technology to improve business processes and traceability. This includes RFID, RF based sensors, sensor networks and real time location system (RTLS). It is vital that these large amounts of data are linked to identifiable entities for later retrieval and analysis. Unique identification of RTIs can be utilised to ensure that sensor data can be linked both to the RTI and to the content of the RTI. The links between the RTI and the content of the RTI are a basis for improving traceability.

Based on the information model, the next step is to develop a detailed specification for the implementation of the model. The results from the implementation will be used for further evaluation of the model, and might lead to improvements and changes in the model.

Enabling technologies like RFID often lead to changes in existing processes and systems. This work is a contribution to developing more stable and application‐independent information models in food processing companies.

The paper shows that leveraging unique identification of returnable transport items to provide a finer meshed granularity and increased operational visibility of traceable units will not only improve traceability but will also give a more precise basis for process improvements and product differentiation in a food business.