Ontology-based systems engineering: A state-of-the-art review

Pattern-based Business Model Development for Cyber-Physical Production Systems

Advanced Technologies in Life Cycle Engineering

Over the last decade, Product-Service System (PSS) has been established as a prominent business model which promises sustainability. A great amount of literature work has been devoted to PSS issues, but there is fairly limited published work on integrated and easily applicable evaluation methodologies for PSS design, as well as a lack of Lean PSS approaches. Contributing to these directions, the present work introduces a framework for the evaluation and improvement of the Lean PSS design using key performance indicators (KPIs), Lean rules, and sentiment analysis, aiming to feed all the stages of PSS design lifecycle. According to the evaluation phase, a certain appropriate set of KPIs is selected and suggested to the PSS designer via a context-sensitivity analysis (CSA) tool through a pool, which have been identified after intensive literature survey, and systematically classified into five main categories: design, manufacturing, customer, environment, and sustainability. According to the same phase, sentiment analysis has been used to identify the polarity of the customer opinions regarding the PSS offerings. During the phase of Lean design assistance, Lean rules are selected using CSA and are suggested to the designer to ensure the minimization of wasteful activities. Enabler for the context awareness is the availability of feedback gathered from the manufacturing, shop-floor experts, and the different types of customers (business or final-product consumers), as well as the PSS lifecycle which the designer treats. The proposed framework is implemented in a software prototype and is applied in a mold-making industrial case study.

A Lean PSS design and evaluation framework supported by KPI monitoring and context sensitivity tools

In contrast to current product-oriented solutions, Industrial Product-Service Systems (IPS2) involve the integrated development of products and services, thereby guaranteeing high customer value. As a consequence, an IPS2 business model characteristically delivers value in a long-term customer relationship. To date, comprehensive research on the design and engineering of dynamic IPS2 business models has not been conducted, which has resulted in a lack of modeling and simulation methods that depict their dynamic behavior over the entire IPS2 life cycle. In order to fill this research gap, this paper focuses on an integrated business model design and engineering approach with System Dynamics.

Design and Engineering of Dynamic Business Models for Industrial Product-Service Systems

Delivering Industrial Product Service Systems (IPS2) is a strategic priority for many companies, since IPS2 represent an opportunity to differentiate from competitors and to build long-term customer relationships. However, these relationships have to be characterized, e.g. in terms of delivering value, generating revenues, and sharing risks, which can be done through a business model. Nevertheless, the existing research on business models lacks structure especially with regard to IPS2. To provide a first step into closing this research gap, this study aims at delivering an IPS2-specific business model ontology. Based on this, a case study of a solution provider is conducted.

M. Rese

Papers

An Ontology of Business Models for Industrial Product-Service Systems