Dominant Innovation Design for Smart Products-Service Systems (PSS): Strategies and Case Studies

Lee, Jay; Kao, Hung-An

doi:10.1109/srii.2014.25

Cited by 13 publications

(15 citation statements)

References 7 publications

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“…One of the challenges for Industry 4.0 manufacturing is to design and develop embedded services assisting in a flexible way the effective management of machine equipment tools by reducing downtimes and costs (Mobley 2002;Russell and Norvig 2010;Lee and Kao, 2014;Sang et al, 2020;Zonta et al, 2020;Sang et al, 2021). Our work focused on the design and development of a predictive maintenance model for Industry 4.0 (i.e., Predictive Maintenance for Industry 4.0) which utilizes the proposed predictive maintenance scheduling for multiple machine components (i.e., Predictive Maintenance Schedule for Multiple Machines and Components) by taking into account machine data such as operation, condition, and maintenance data.…”

Section: Discussionmentioning

confidence: 99%

A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0

Sang

Vrieze

2021

Front. Big Data

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The Industry 4.0 paradigm is the focus of modern manufacturing system design. The integration of cutting-edge technologies such as the Internet of things, cyber–physical systems, big data analytics, and cloud computing requires a flexible platform supporting the effective optimization of manufacturing-related processes, e.g., predictive maintenance. Existing predictive maintenance studies generally focus on either a predictive model without considering the maintenance decisions or maintenance optimizations based on the degradation models of the known system. To address this, we propose PMMI 4.0, a Predictive Maintenance Model for Industry 4.0, which utilizes a newly proposed solution PMS4MMC for supporting an optimized maintenance schedule plan for multiple machine components driven by a data-driven LSTM model for RUL (remaining useful life) estimation. The effectiveness of the proposed solution is demonstrated using a real-world industrial case with related data. The results showed the validity and applicability of this work.

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Section: Discussionmentioning

confidence: 99%

A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0

Sang

Vrieze

2021

Front. Big Data

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“…The same S-D logic has been recently adopted in a concept of Product-Service Systems (PSS) by Pawar et al (2009). PSS term is widely used in Scandinavia to describe the concept of total service solution to satisfy unmet customers' need through a system of products, services, networks and infrastructure (Lee and Kao, 2014).…”

Section: Into the World Of Servicesmentioning

confidence: 99%

From walls to experience – servitization of workplaces

Petrulaitiene

Korba

Nenonen

et al. 2018

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Purpose New ways of working challenge workplace management: increasing mobility and diminishing organizational boundaries require re-evaluation of both workplace design and service delivery. However, structures and processes of workplace management are still traditional, and managers, together with outsourced facility service providers, often do not succeed at fulfilling the needs of mobile employees. The aforementioned changes stimulate discussions in many areas in both industry and academy. Nevertheless, workplace literature from business perspective seems to be scarce. In this paper, the focus is on workplace service offering for mobile knowledge workers. This paper aims to study the current state of workplace servitization. To answer this, the authors identify value offering elements that are used in office business market to deliver workplace as a service. Design/methodology/approach This study follows multiple case study methodology including five case studies. Primary data were collected through interviews with workplace service providers. Secondary data included observations and publicly available data. The authors took business model design approach to study selected business offerings. Findings The results indicate that workplace business models include elements of servitization on various levels. Physical space is no longer the central offering in the office business; instead, it acts as a component on which the service portfolio is built. The highest value from workplace comes from experience-related service offerings. Originality/value Academically, research contributes to the workplace management studies by providing servitization perspective to a topic previously approached with a more technical and psychological point of view. This study can also support service providers and customer organizations in their quest to make service provision more flexible and experience-oriented.

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“…Discusses the interaction between the products, manufacturers and end users. 14 (Lee and Kao, 2014) Innovation Manufacturing Industry…”

Section: Manufacturing Industrymentioning

confidence: 99%

“…The requirements are divided into CP and PS to initiate the ideation. The requirements are evaluated using innovation matrix, QFD techniques (Lee and Kao, 2014). The planning stage then follows, where the modules, up/down-gradeability, constraints, business model and resources requirements are planned (Mehrsai et al, 2014;Kuhlenkötter et al, 2017a;Kuhlenkötter et al, 2017b).…”

Section: Cppss Designmentioning

confidence: 99%

Towards Systematic Design of Cyber-Physical Product-Service Systems

Rizvi¹,

Chew²

2018

Proceedings of the DESIGN 2018 15th International Design Conference

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Modern businesses are servitizing their offerings into product-service system to achieve customized value co-creation and superior customer satisfaction. PSS are evolving to incorporate cyber-physical capabilities to form a CPPSS. It enables real-time sensing, networking, and decision-making to enhance customization, sustainability, flexibility, and profitability. This paper presents a systematic literature review of CPPSS from which basic building blocks and principles are derived for the synthesis of a proposition for a new integrated definition and meta-model of its holistic design process.

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Dominant Innovation Design for Smart Products-Service Systems (PSS): Strategies and Case Studies

Cited by 13 publications

References 7 publications

A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0

A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0

From walls to experience – servitization of workplaces

Towards Systematic Design of Cyber-Physical Product-Service Systems

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