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Key challenge for mastering high uncertainty of both demand and supply is to attune products and business processes in the entire supply chain continuously to customer requirements. Product configurators have proven to be powerful tools for managing demand uncertainty. This paper assesses how configurators can be used for combined product and process(More)
Purpose – to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach – literature study and a case study in dairy industry, based on in-depth expert interviews. Findings – four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications – the(More)
The food and agribusiness is an important sector in European logistics with a share in the EU road transport of about 20%. One of the main logistic challenges in this sector is to deal with the high dynamics and uncertainty in supply and demand. This paper discusses the opportunities of Future Internet (FI) technologies to addresses the specific demands on(More)
Production processes in horticulture are increasingly industrialized. Greenhouses have developed towards high-tech production plants that are highly automated by advanced systems for climate control, irrigation, crop monitoring, harvesting, internal transportation, sorting and packaging. At the same time, horticultural production nowadays is a complex(More)
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(More)