Empirical study on quality management for product-service systems in industrial environment

2016 ◽  
Vol 22 (5) ◽  
pp. 969-978 ◽  
Author(s):  
Florian Pasch ◽  
Christoffer Rybski ◽  
Roland Jochem
Keyword(s):  
Quality Management ◽  
Value Creation ◽  
Manufacturing Industry ◽  
Individual Performance ◽  
Service Systems ◽  
Content Type ◽  
Product Service ◽  
Study Results ◽  
E Mail ◽  
Product Service Systems

Purpose – To achieve long-term customer retention a comprehensive and individual performance is increasingly important for companies from the manufacturing industry. A possibility to meet this challenge is given by Industrial Product-Service Systems (IPS2). The purpose of this paper is to discuss the results of a current study on quality management for IPS². Design/methodology/approach – After a short introduction to the topic of IPS² the paper takes the study design as its structure. It gives an overview of the demography and results of the study and ends with a conclusion. Findings – Concerning the choice of products and services the results show that customer individual performances prevail. Closely related to that is the tender of services, which are meanwhile a part of the performance offer in all industries. All in all there are already first types of IPS². The quality perception exceeds the conformance of specific requirements. Reliability and perceived quality are becoming increasingly important. An integration of customers into the quality management is the exception. Regarding the quality management in value creation chains it can be outlined that quality goals are mostly company-wide but not for the entire value creation chain. Cross-company standardized processes exist in least cases. This also applies to cross-linked CAQ-systems. Communication of quality problems is handled mainly via e-mail. Quality management in value creation chains needs a common buildup of competencies by joint trainings. In practice it is barely there. Even if the potential is seen, partners and suppliers mostly will not be considered. Originality/value – The paper considers the study results from different angles and shows the potentials of the IPS² approach. Thereby it investigates different approaches to offer a combined product-service system.

scholarly journals SUSTAINABILITY THROUGH THE DIGITALIZATION: EXPLORING POTENTIALS AND DESIGNING VALUE CO-CREATION ARCHITECTURES FOR PRODUCT-SERVICE-SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2871-2880
Author(s):  
Michel Scholtysik ◽  
Jannik Reinhold ◽  
Christian Koldewey ◽  
Roman Dumitrescu
Keyword(s):  
Value Creation ◽  
Manufacturing Industry ◽  
Social Issues ◽  
Positive Impact ◽  
Digital Technologies ◽  
Service Systems ◽  
Product Service ◽  
Product Service Systems

AbstractDigitalization and sustainability are major challenges for today's manufacturing industry. While digitalization is characterized by the incorporation of digital technologies in the products and services as well as the value creation architectures, sustainability requires them to balance economic, environmental and social issues. In both areas, especially Product Service Systems (PSS) are constantly gaining importance. This results in so called smart PSS that integrate digital technologies as well as sustainable PSS which aim at a positive impact on sustainability. Both two concepts cannot be clearly delimited since smart PSS might be designed for sustainability as well and sustainable PSS might be used with digital technologies. This paper aims to investigate the interrelations. To that, digitalization patterns of products and services are evaluated regarding their sustainable impact. The evaluation is conducted by a survey in research and industry. Furthermore, the design of the underlying value creation architecture is investigated. Here, a methodology is proposed enabling companies to optimize their value creation architecture.

scholarly journals Exploring product–service systems in the digital era: a socio-technical systems perspective

2020 ◽  
Vol 32 (4) ◽  
pp. 897-913 ◽  
Author(s):  
Ai Qiang Li ◽  
Nicholas Rich ◽  
Pauline Found ◽  
Maneesh Kumar ◽  
Steve Brown
Keyword(s):  
Digital Technologies ◽  
Service Systems ◽  
Content Type ◽  
Digital Era ◽  
Main Challenge ◽  
Product Service ◽  
Human Skills ◽  
Technical Systems ◽  
The Impact ◽  
Product Service Systems

PurposeIn the age of Industry 4.0, digital advancement is reshaping manufacturing models towards product–service systems (PSS). The drivers, readiness and challenges to move to a PSS model are not well understood, and the exploitation of the digital era presents the gap of this research.Design/methodology/approachThe research was conducted using semi-structured interviews in six manufacturers. Two forum debates were also conducted to supplement and validate the findings.FindingsSocial and economic motivations rather than environmental considerations were driving the change to PSS. Digital technologies could be an important driver if manufacturers reached a certain PSS maturity level. A high level of technical readiness was offset by a low level of social investments and the strategic development of human resources. Value co-creation was a main challenge though manufacturers had the advantage of digital connectivity, which indicated new human requirements; the greater the enabling power of digital technologies, the greater the need for advanced human skills.Practical implicationsHuman resource management has underpinned lean models; yet, the role of employees within PSS is underdeveloped despite the impact of staff in exploiting digitalisation and value co-creation. A “learning organisation” and socio-technical fit are required for the “diffusion of innovation” of PSS.Originality/valueThis research attempted to explore drivers, readiness and challenges for PSS from a socio-technical systems (STS) perspective. Three levels of PSS maturity with STS features were derived from the research, providing guidance for manufacturers.

3D-Evaluation hybrider Lösungsansätze/3D evaluation of product-service systems

2020 ◽  
Vol 110 (07-08) ◽  
pp. 536-540
Author(s):  
Christian Köhler ◽  
Tobias Mahl ◽  
Dominik Lins ◽  
Dominik Arnold ◽  
Klaus Herrmann ◽  
...  
Keyword(s):  
Value Creation ◽  
Qualitative Evaluation ◽  
Service Systems ◽  
Evaluation Approach ◽  
Kleine Und Mittlere Unternehmen ◽  
Product Service ◽  
3D Evaluation ◽  
Product Service Systems

Der Beitrag beschreibt einen quantitativen und qualitativen Bewertungsansatz für Ideen beziehungsweise Konzepte hybrider Wertschöpfung für kleine und mittlere Unternehmen (KMU) unter Berücksichtigung existierender Fähigkeiten, erwarteter Erfolgspotenziale sowie dem Hybridisierungsgrad.   This paper describes a quantitative and qualitative evaluation approach for ideas or concepts of hybrid value creation for SMEs (small and medium-sized enterprises), taking into account existing capabilities, expected potential for success and the degree of hybridization.

scholarly journals Integrating Product-Service Systems into the manufacturing industry: Industry 4.0 perspectives

Procedia CIRP ◽  
2019 ◽  
Vol 83 ◽  
pp. 8-13 ◽  
Author(s):  
Trevor Bogani Shihundla ◽  
Khumbulani Mpofu ◽  
Olukorede Tijani Adenuga
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Service Systems ◽  
Product Service ◽  
Product Service Systems

scholarly journals Research on product-service systems: topic landscape and future trends

2021 ◽  
Vol 32 (9) ◽  
pp. 208-238
Author(s):  
Federico Barravecchia ◽  
Fiorenzo Franceschini ◽  
Luca Mastrogiacomo ◽  
Mohamed Zaki
Keyword(s):  
Latent Dirichlet Allocation ◽  
Learning Algorithm ◽  
Relevant Literature ◽  
Service Systems ◽  
Future Research ◽  
Future Trends ◽  
Research Topics ◽  
Content Type ◽  
Product Service ◽  
Product Service Systems

PurposeThe paper attempts to address the following research questions (RQs): RQ1: What are the main research topics within PSS research? RQ2: What are future trends for PSS research?Design/methodology/approachTwenty years of research (1999–2018) on product-service systems (PSS) produced a significant amount of scientific literature on the topic. As the PSS field is relatively new and fragmented across different disciplines, a review of the prior and relevant literature is important in order to provide the necessary framework for understanding current developments and future perspectives. This paper aims to review and organize research contributions regarding PSS. A machine-learning algorithm, namely Latent Dirichlet Allocation, has been applied to the whole literature corpus on PSS in order to understand its structure.FindingsThe adopted approach resulted in the definition of eight distinct and representative topics able to deal adequately with the multidisciplinarity of the PSS. Furthermore, a systematic review of the literature is proposed to summarize the state-of-the-art and limitations in the identified PSS research topics. Based on this critical analysis, major gaps and future research challenges are presented and discussed.Originality/valueOn the basis of the results of the topic landscape, the paper presents some potential research opportunities on PSSs. In particular, challenges, transversal to the eight research topics and related to recent technology trends and digital transformation, have been discussed.

Personalized configuration rules extraction in product service systems by using Local Cluster Neural Network

2015 ◽  
Vol 115 (8) ◽  
pp. 1529-1546 ◽  
Author(s):  
Jin Shen ◽  
Bin Wu ◽  
Li Yu
Keyword(s):  
Neural Network ◽  
Historical Data ◽  
Service Systems ◽  
Functional Requirements ◽  
Efficient Design ◽  
Local Cluster ◽  
Content Type ◽  
Rule Knowledge ◽  
Product Service ◽  
Product Service Systems

Purpose – Configuration systems are used as a means for efficient design of customer tailored product service systems (PSS). In PSS configuration, mapping customer needs with optimal configuration of PSS components have become much more challenging, because more knowledge with personalization aspects has to be considered. However, the extant techniques are hard to be applied to acquire personalized configuration rules. The purpose of this paper is to extract the configuration rule knowledge in symbolism formulation from historical data. Design/methodology/approach – Customer characteristics (CCs) are defined and introduced into the construction of configuration rules. Personalized PSS configuration rules (PCRs) are thereby proposed to collect and represent more knowledge. An approach combining Local Cluster Neural Network and Rulex algorithm is proposed to extract rule knowledge from historical data. Findings – The personalized configuration rules with CCs are able to alleviate the burden of customers in expressing functional requirements. Furthermore, in the long-term relationship with a customer in PSS realization, PSS offerings can be reconfigured according to the changing CCs with the guide of PCRs. Originality/value – The contribution of this paper lies in introducing the attribute of CCs into the antecedents of PCRs and proposing the neural networks-based approach to extracting the rule knowledge from historical data.

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