A control model for object virtualization in supply chain management
Verdouw, C.N. ; Beulens, A.J.M. ; Reijers, H.A. ; Vorst, J.G.A.J. van der - \ 2015
Computers in Industry 68 (2015). - ISSN 0166-3615 - p. 116 - 131.
information-systems - intelligent products - science research - design science - internet - things - life - technology - framework - demand
Due to the emergence of the Internet of Things, supply chain control can increasingly be based on virtual objects instead of on the direct observation of physical objects. Object virtualization allows the decoupling of control activities from the handling and observing of physical products and resources. Moreover, virtual objects can be enriched with information that goes beyond human observation. This will allow for more advanced control capabilities, e.g. concerning tracking and tracing, quality monitoring and supply chain (re)planning. This paper proposes a control model for object virtualization in supply chain management, which is based on a multiple case study in the Dutch floriculture. It includes a typology of distinct mechanisms for object virtualization, which discerns reference objects and future projections next to the representation of real physical objects. The control model helps to define feasible redesign options for the virtualization of supply chain control. It is also of value as a basis to define the requirements for information systems that enable these redesign options.
A framework for modelling business processes in demand-driven supply chains
Verdouw, C.N. ; Beulens, A.J.M. ; Trienekens, J.H. ; Vorst, J.G.A.J. van der - \ 2011
Production Planning & Control 22 (2011)4. - ISSN 0953-7287 - p. 365 - 388.
operations management - information-systems - science research - design science - technology - organizations - opportunities - orientation - challenges - redesign
Demand-driven supply chains are highly dynamic networks of different participants with different allocations of business processes and different modes of control and coordination. Companies must be able to take part in multiple supply chain configurations concurrently and to switch rapidly to new or adjusted configurations. This imposes stringent demands on information systems and requires a modelling approach that (1) combines high-level models for supply chain design with detailed models for engineering the accompanying information systems and (2) enables rapid instantiation of specific supply chain configurations from a repository of standard building blocks. This article designs a process modelling framework that enhances such an approach. Building on the terminology and process definitions provided by the Supply Chain Operations Reference model, it models supply chain configurations as specific sets of transformations, control systems and coordination mechanisms. The designed modelling framework is applied in a case study in the Dutch flower industry.