Leveraging Circular Economy through a Methodology for Smart Service Systems Engineering

Product Service Systems (PSS) and Smart Services are powerful means for deploying Circular Economy (CE) goals in industrial practices, through dematerialization, extension of product lifetime and efficiency increase by digitization. Within this article, approaches from PSS design, Smart Service design and Model-based Systems Engineering (MBSE) are combined to form a Methodology for Smart Service Architecture Definition (MESSIAH). First, analyses of present system modelling procedures and systems modelling notations in terms of their suitability for Smart Service development are presented. The results indicate that current notations and tools do not entirely fit the requirements of Smart Service development, but that they can be adapted in order to do so. The developed methodology includes a modelling language system, the MESSIAH Blueprinting framework, a systematic procedure and MESSIAH CE, which is specifically designed for addressing CE strategies and practices. The methodology was validated on the example of a Smart Sustainable Street Light System for Cycling Security (SHEILA). MESSIAH proved useful to help Smart Service design teams develop service-driven and robust Smart Services. By applying MESSIAH CE, a sustainable Smart Service, which addresses CE goals, has been developed

Utilization of Product Lifecycle Data from PLM Systems in Platforms for Industrial Symbiosis

Industrial Symbiosis represents a promising approach to foster the transformation towards a circular economy. To involve businesses in Industrial Symbiosis, online platforms and input-output matching tools for facilitating the exchange of by-products have been provided by industry organizations and facilitators. Regarding the discrete parts and product manufacturing industry (DPPM), little success is being reported for such platforms and tools. Within the scope of this research, a list of Input-Output matching tools was analysed regarding data sources which are currently used for input-output Matching. Specifications of by-products in the DPPM industry were reviewed in order to identify a list of requirements for data sources. Shortcomings of the currently existing input-output matching tools were identified and suggestions for additional data sources used for input-output matching in IS in DPPM were given. Results show that datasets currently used do not include organisational data sources such as Product Data Management (PDM) systems, Enterprise Resource Planning (ERP) systems, Supply Chain Management (SCM) systems, and or Manufacturing Execution Systems (MES)

Leveraging Circular Economy through a Methodology for Smart Service Systems Engineering

Product Service Systems (PSS) and Smart Services are powerful means for deploying Circular Economy (CE) goals in industrial practices, through dematerialization, extension of product lifetime and efficiency increase by digitization. Within this article, approaches from PSS design, Smart Service design and Model-based Systems Engineering (MBSE) are combined to form a Methodology for Smart Service Architecture Definition (MESSIAH). First, analyses of present system modelling procedures and systems modelling notations in terms of their suitability for Smart Service development are presented. The results indicate that current notations and tools do not entirely fit the requirements of Smart Service development, but that they can be adapted in order to do so. The developed methodology includes a modelling language system, the MESSIAH Blueprinting framework, a systematic procedure and MESSIAH CE, which is specifically designed for addressing CE strategies and practices. The methodology was validated on the example of a Smart Sustainable Street Light System for Cycling Security (SHEILA). MESSIAH proved useful to help Smart Service design teams develop service-driven and robust Smart Services. By applying MESSIAH CE, a sustainable Smart Service, which addresses CE goals, has been developed

Target-driven selection and scheduling of methods for sustainable product development

A large number of methods have been developed in order to systematically consider sustainability as a design criterion in the product development process. However, further support is required to help product development teams to assess the applicability of the existing methods in the specific design contexts. In order to address this problem, the Design Decision Support Assistant (DDSA)—an IT-based assistance system—has been developed to support product development teams in the selection, scheduling, and application of sustainable product design methods in the product development process. The backbone of the assistant is a method repository comprising 29 methods for sustainable product development as well as a method taxonomy to enable the selection and scheduling of suitable methods for achieving sustainability-related design targets. This article introduces the concept of the DDSA, details its practical prototypical implementation, and illustrates its application in a case study

An Efficiency-Oriented Batch Reduction Procedure for Hazardous Material

Human activities generate more hazard wastes (HWs) than can be handled by the technologies available. Due to the rapid growth of industrial and commercial activities in past decades, the products as well as the wastes containing Hazardous Materials (HMs) have increased drastically in both volume and type. Avoiding and treating HMs thus represents a crucial task for the industry on the pathway to a sustainable future. In the present paper, an Efficiency-Oriented Batch Reduction Procedure (EO-BRP) is introduced, which aims at supporting plants in reducing the use of HMs. EO-BRP has been validated by reducing the HMs in three different production sites. The results show an increase of efficiency by allowing the analysis of a large number of different materials in a shorter processing time