Abstract
PurposeThe need to flexibly react to changing demands and to cost-efficiently manage customized production even for lot size of one requires a dynamic and holistic integration of service-based processes within and across enterprises of the value chain. In this context, this paper aims at presenting ODERU, the authors’ novel pragmatic approach for automatically implementing service-based manufacturing processes at design and runtime within a cloud-based elastic manufacturing platform.Design/methodology/approachODERU relies on a set of semantic annotations of business process models encoded into an extension of the business process model and notation (BPMN) 2.0 standard. Leveraging the paradigms of semantic SOA and XaaS, ODERU integrates pattern-based semantic composition of process service plans with QoS-based optimization based on multi-objective constraint optimization problem solving.FindingsThe successful validation of ODERU in two industrial use cases for maintenance process optimization and automotive production in the European project CREMA revealed its usefulness for service-based process optimization in general and for significant cost reductions in maintenance in particular.Originality/valueODERU provides a pragmatic and flexible solution to optimal service composition with the following three main advantages: full integration of semantic service selection and composition with QoS-based optimization; executability of the generated optimal process service plans by an execution environment as they include service assignments, data flow (variable bindings) and optimal variable assignments; and support of fast replanning in a single model and plan.
Highlights
About a decade ago, the fourth industrial revolution, known as Industry 4.0, has been ushered by the introduction of the Internet of ings and Services into the manufacturing environment
E satisfaction of user-speci ed functional requirements by the use case pilot was tested in respective test scenarios and cases with user-de ned criteria of success. e values of business-social performance indicators (BSPI) that were targeted by the industrial user partner for machinery maintenance comply with corresponding user-speci ed business requirements
We presented ODERU, a novel solution for the semantic composition of process service plans for annotated process models that are optimal with respect to given functional and nonfunctional requirements, and showcased the practical bene ts of its use in manufacturing
Summary
The fourth industrial revolution, known as Industry 4.0, has been ushered by the introduction of the Internet of ings and Services into the manufacturing environment. To rise up to this challenge, Industry 4.0 applications basically operate on the principles and use of autonomous cyber-physical systems with selfcon guring properties for integrated production across the entire value chain. E envisioned integration of optimal service-based processes within and across the enterprise of dynamic value chains requires, in particular, smart tool support for an automated generation of process service plans that are optimal with respect to both, functional and non-functional QoS-based requirements at design time and runtime. At goes beyond the capability of conventional BPM (business process modeling) systems To this end, we developed a novel pragmatic solution called ODERU (Optimization tool for DEsign and RUntime).
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