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Joint modeling of data flows and supply chains: approach compilation and model development

  • Purpose: Supply chain management is hardly connected with data and information flows nowadays. In times of Big Data, the value of data changes from a simple sharing of data into fields of high volumes and questioned relevance. Coming from a modeling perspective, a coergence of both sides is not completely fulfilled. Therefore, existing approaches from both sides are compiled, analyzed and a new approach for modeling data flows and supply chains jointly is suggested. Design/methodology/approach: The research roadmap of this exploratory research is designed as follows. A compilation of different approaches which are well established in practice was conducted in data flow modeling and in supply chain modeling. Moreover, a literature review on first joint efforts was made. As a conceptual approach, the joint model to conceptualize data flows in supply chain processes was developed.Findings: An insight worth remarkable is that data flow modeling approaches are very process-driven in most cases and therefore incorporate a process orientation. Detailed data specifications are not reflected in data flow and supply chain process modeling approaches. During the analysis, BPMN and SCOR are identified as useful foundations for a joint model integrating data flow specifications.Research limitations: Since this research acts as a basic iestigation on joint modeling, a research agenda to conduct further research is proposed. This includes the provision of empirical evidence from practitioners, the definition of a complete meta model of a joint approach and an integration of strategies how to cope with increasing data volumes. Practical implications: Practical implications are of high relevance since most notations and standards are practical-driven and derived from industry standards. The developed joint model delivers practitioners an efficient tool at hand to model supply chains together with data flows and acts also as an analysis tool for given supply chain constructs. Original/Value: In this paper, an approach useful for researchers and practitioners alike is developed. Since data flows and supply chains are modeled jointly, efficiency in supply chain planning and documentation can be increased. Value in research is created through a literature review on joint modeling, the proposition of a joint model and the suggestion of a research agenda.

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Metadaten
Document Type:Conference Proceeding
Language:English
Author:Iris Hausladen, Alexander Haas
Chairs and Professorships:Chair of IT-based Logistics
Year of Completion:2015
Tag:Data Management; Data and Information Flows; Information Management; Modeling; Modeling Notations; Process Management; SCOR; Supply Chain Management
Note:
27th NOFOMA, Molde, Norway, June 4-5, 2015
Content Focus:Academic Audience
Peer Reviewed:Yes
Licence (German):License LogoUrheberrechtlich gesch├╝tzt