Simulating Impact of Smart Product-Service Systems

Waves of digitalization and Industry 4.0 currently boost research and development activities for smart product-service systems. The usage of information technology within products (e.g., IoT) and services as well as processing big data leads to the development of novel product-service bundles like functional sales. One of the main barriers of smart PSS innovation is missing information on possible economic (cost/revenue) and ecological (environmental) impacts. This paper presents a novel simulation approach to overcome the named barrier. Methodologically, the paper is based on design science research to develop an appropriate approach. Our simulation model will be able to enhance transparency about the different forms and power of impact of smart PSS. Furthermore, the core of the new approach is the possible low threshold integration of existing data on business model and process model layers into the simulation. Finally, an existing use case demonstrates how the approach can be applied.

[1]  M. J. Simões-Marques,et al.  Modeling and Simulation in System Life Cycle , 2015 .

[2]  Alexandre Joyce,et al.  The triple layered business model canvas: A tool to design more sustainable business models , 2016 .

[3]  Alan R. Hevner,et al.  The Three Cycle View of Design Science , 2007, Scand. J. Inf. Syst..

[4]  Pavel Brazdil,et al.  Comparing Strategies of Collaborative Networks for R&D: An Agent-Based Study , 2013 .

[5]  Giancarlo Guizzardi,et al.  Can BPMN Be Used for Making Simulation Models? , 2011, EOMAS.

[6]  Michael Lieder,et al.  Towards Circular Economy implementation: an agent-based simulation approach for business model changes , 2017, Autonomous Agents and Multi-Agent Systems.

[7]  Sophie Hallstedt,et al.  Exploration of Simulation-Driven Support Tools for Sustainable Product Development , 2017 .

[8]  Reiko Heckel,et al.  Domain-specific discrete event modelling and simulation using graph transformation , 2014, Software & Systems Modeling.

[9]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[10]  Li Pheng Khoo,et al.  A survey of smart product-service systems: Key aspects, challenges and future perspectives , 2019, Adv. Eng. Informatics.

[11]  Alan R. Hevner,et al.  Design Research in Information Systems , 2010 .

[12]  Yves Ducq,et al.  A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation , 2020, Sustainability.

[13]  Claudio Sassanelli,et al.  Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case , 2020, Sustainability.

[14]  T S Baines,et al.  State-of-the-art in product-service systems , 2007 .

[15]  Yves Ducq,et al.  SLMToolBox: enterprise service process modelling and simulation by coupling DEVS and services workflow , 2016, Int. J. Simul. Process. Model..

[16]  Konstantinos Mykoniatis,et al.  Industry 4.0: The use of simulation for human reliability assessment , 2020 .

[17]  Günther Schuh,et al.  Introducing a methodology for smartification of products in manufacturing industry , 2019 .

[18]  S. R. Moro,et al.  Product-service systems benefits and barriers: an overview of literature review papers , 2020 .

[19]  Andrew A. West,et al.  A data-driven simulation to support remanufacturing operations , 2019, Comput. Ind..

[20]  Giuditta Pezzotta,et al.  Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis , 2017 .

[21]  Ruth Mugge,et al.  The Design of Smart Product-Service Systems (PSSs): An Exploration of Design Characteristics , 2015 .