Managing traceability information in manufacture

MH Jansen-Vullers*, CA van Dorp, AJM Beulens

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review


    In this paper, an approach to design information systems for traceability is proposed. The paper applies gozinto graph modelling for traceability of the goods flow. A gozinto graph represents a graphical listing of raw materials, parts, intermediates and subassemblies, which a process transforms into an end product, through a sequence of operations. Next, the graphical listing has been translated into a reference data model that is the basis for designing an information system for tracking and tracing.

    Materials that are modelled this way represent production and/or purchase lots or batches. The composition of a certain end product is then represented through modelling all its constituent materials along with their intermediate relations. By registering all relations between sub-ordinate and super-ordinate material lots, a method of tracking the composition of the end product is obtained. When the entire sequence of operations required for manufacturing an end product adheres to this registering of relations, a multilevel bill of lots can be compiled. That bill of lots then, provides the necessary information to determine the composition of a material item out of component items. These composition data can be used to recall any items having consumed a certain component of specific interest (e.g., deficient), but also to certify product quality or to pro-actively adjust production processes to optimise the product quality in relation to its production characteristics (e.g., scarcity, costs or time). (C) 2003 Elsevier Ltd. All rights reserved.

    Original languageEnglish
    Pages (from-to)395-413
    Number of pages19
    JournalInternational Journal of Information Management
    Issue number5
    Publication statusPublished - Oct 2003


    • product quality
    • tracking and tracing
    • traceability information management
    • reference models
    • information systems

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