Framework for the Integration of Service and Technology Strategies

Organised by: Cranfield UniversityAfter sales service is a highly profitable business for manufacturers of technology-driven products. Due to this fact competitors want to share in high profit margins. At the same time after sales business has to deal with an increasing range of variants of products and technologies, shorter life cycles and changing customer demands. In spite of these manifold challenges, often neither after sales departments are involved in the early product development stage nor are customer demands and technical parameters considered in the service development processes entirely. Therefore an integration of service and technology strategies is necessary. This paper presents a framework for this integration that visualises the complex interdependencies and interfaces between service as well as product and motor vehicle workshop technologies.Mori Seiki – The Machine Tool Compan

Semantic model-driven development of web service architectures.

Building service-based architectures has become a major area of interest since the advent of Web services. Modelling these architectures is a central activity. Model-driven development is a recent approach to developing software systems based on the idea of making models the central artefacts for design representation, analysis, and code generation. We propose an ontology-based engineering methodology for semantic model-driven composition and transformation of Web service architectures. Ontology technology as a logic-based knowledge representation and reasoning framework can provide answers to the needs of sharable and reusable semantic models and descriptions needed for service engineering. Based on modelling, composition and code generation techniques for service architectures, our approach provides a methodological framework for ontology-based semantic service architecture

Exploring Maintainability Assurance Research for Service- and Microservice-Based Systems: Directions and Differences

To ensure sustainable software maintenance and evolution, a diverse set of activities and concepts like metrics, change impact analysis, or antipattern detection can be used. Special maintainability assurance techniques have been proposed for service- and microservice-based systems, but it is difficult to get a comprehensive overview of this publication landscape. We therefore conducted a systematic literature review (SLR) to collect and categorize maintainability assurance approaches for service-oriented architecture (SOA) and microservices. Our search strategy led to the selection of 223 primary studies from 2007 to 2018 which we categorized with a threefold taxonomy: a) architectural (SOA, microservices, both), b) methodical (method or contribution of the study), and c) thematic (maintainability assurance subfield). We discuss the distribution among these categories and present different research directions as well as exemplary studies per thematic category. The primary finding of our SLR is that, while very few approaches have been suggested for microservices so far (24 of 223, ?11%), we identified several thematic categories where existing SOA techniques could be adapted for the maintainability assurance of microservices

Service Engineering Based on Service Oriented Architecture Methodology

Service Engineering (SE) and Service Oriented Architecture (SOA) originally reside on different plateaus of discipline. SE is defined as a set of activity introducing a new business service, while SOA is a technical approach to redefine an enterprise business processes as a set of IT enabled services. This paper proposes a SOA embedded SE framework as a comprehensive approach in re-defining business service and its IT implementation. After an introduction, a review of existing SE frameworks and SOA methodologies is presented in the paper. Afterward, a complete SE framework is proposed with several results on early case studies. A survey results are then presented to prove the usability and benefit of the proposed framework. The framework is designed and proposed to help practitioners and researchers to conduct service engineering by employing principles and methodology offered by SOA approach

Generic Role Model for the Systematic Development of Internal AI-based Services in Manufacturing

Latest research has shown that one challenge for the development and implementation of Industrial AI-based services is uncertainty of roles and responsibilities. To address this challenge, we developed a generic role model for the systematic development of AI-based services in manufacturing. The role model describes which roles are necessary within the development process of an Industrial AI-based service. Thereby, a distinction is made whether the roles are assigned to the “core team”, the “extended team” or participate in “supporting roles”. Furthermore, the model shows whether the roles are involved in the “Ideation” phase, the “Requirements and design” phase, the “Test” phase or the “Implementation and roll-out” phase. Based on desktop research, semi-structured interviews and expert workshops we identified 22 roles that are relevant to the development and implementation of Industrial AI-based services

Recombinant Service System Engineering

Although many methods have been proposed for engineering services and customer solutions, most of these approaches give little consideration to recombinant service innovation. In an age of smart products and smart data, we can, however, expect that many of future service innovations need to be based on adding, transferring, dissociating, and associating existing value propositions. The purpose of this paper is to outline what properties constitute recombinant service innovation and to identify if current service engineering approaches fulfill these properties. Based on a conceptual in-depth analysis of 24 service engineering methods, we identify that most methods focus on designing value propositions instead of service systems, view service independent of physical goods, are linear or iterative, and incompletely address the mechanisms of recombinant innovation. We discuss how these deficiencies can be remedied and propose a first conceptual model of a revised service system engineering approach

An Evolution Process For Service-Oriented Systems

Evolution of service-oriented systems is quite a new research area, which becomesmore and more important as engineering challenges move from enablingservice-orientation onto the maintenance and evolution of already developedservice-oriented systems. However, the development of suitable evolution processesand methodologies is still an open research problem. The evolution processpresented in this paper has been designed to address the evolution of serviceorientedsystems, which are technically built out of a set of service compositions.The presented process comprises phases and tasks compliant with ISO 20000.The underlying model of service-oriented system consisting of business processesand corresponding service composition models has also been presented. A traceabilitymodel and tools supporting change impact analysis have also beenprovisioned for. Preliminary industrial validation indicates that the evolutionprocess should be easy to adapt by the industry