Modern Industrial Services

This open access book is an outcome of several years of research, practice, and teaching experience of the authors on the challenges that underpin the successful switch to services for manufacturing firms. Ideal for a student as well as a practitioner, the book describes the industrial services ecosystem, the barriers and challenges, and a roadmap for building service excellence. Curated cases are used to describe the current approaches in practice to overcome the barriers. The book also provides several tools, each with a short introduction, that the authors have used successfully in projects to help overcome the servitization barriers. Many of these tools are from management, design thinking, or service design. The service excellence roadmap is based on the development methodology and helps current and future business leaders to create their own individual roadmaps

The critical role of sensei in developing lean leaders

The aim of this paper is to illustrate how lean training initiatives developed through the intervention and support of a sensei can contribute to the development of lean leadership traits in team managers. The study is carried out on a single case study conducted in an Italian SME that recently implemented lean via 10 team managers. The assessment of the leadership was carried out at different stages of the project development, through direct observation and interviews conducted by three scholars and concerned the evaluation of a set leadership skills identified in literature. The results showed that mentoring actions of the sensei increase leadership abilities of people, stimulating them to teach others only when they are promoted with the top management sponsorship and endorsement. On the other hand, the study suggests that people show different propensity to improve their leadership skills, depending on their technical background and personal experiences.publishedVersio

The moderating role of just-in-time on sociotechnical practices' effect over quality and workers' health

Sociotechnical (ST) theory emphasizes the notion that the design and performance of new systems can be improved, and can only work satisfactorily within an organization if the social and the technical aspects are brought together and treated as interdependent aspects of a work system. The implementation of lean manufacturing (LM) principles and practices has become popular, despite increasing demand on the current and emerging workforce to achieve higher levels of quality and flexibility with lower costs. Exploratory studies that investigate how LM practices influence the effect of ST practices on performance are still scarce, and a holistic view of such a relationship is needed. In this context, this study aims at verifying the moderating effect of just-in-time (JIT) practices on the relationship between ST practices and the performance of quality and workers' health. We carried out a survey with 144 different companies from Southern Brazil that are undergoing a lean implementation. Results indicate that ST practices have a positive significant relationship with such performance, and the concurrent adoption of JIT does not undermine quality and workers' health

A systematic literature review on the stochastic analysis of value streams

Value stream analysis is a very useful approach in the identification of non-value adding wastes and developing a systemic plan for achieving process improvement. However, traditional value stream mapping fails in considering the inherent variability of processes, hence reinforcing improvements that might not lead to significant results. In this sense, the uncertainties associated with value streams become an issue that can be curbed with the integration of stochastic methods. By conducting a systematic literature review, this research evaluates the level of integration of stochastic methods into value stream analysis and identifies those stochastic methods that are widely adopted to address uncertainties in the value stream analysis. Results from the review indicate that the application of the existing stochastic methods into value stream analysis is still at its infancy and is not systematically integrated. In addition, the few studies that consider stochasticity of value streams weakly examines the effect that uncertainty sources entail on each other

Advances in Production Management Systems: Issues, Trends, and Vision Towards 2030

Since its inception in 1978, the IFIP Working Group (WG) 5.7 on Advances in Production Management Systems (APMS) has played an active role in the fields of production and production management. The Working Group has focused on the conception, development, strategies, frameworks, architectures, processes, methods, and tools needed for the advancement of both fields. The associated standards created by the IFIP WG5.7 have always been impacted by the latest developments of scientific rigour, academic research, and industrial practices. The most recent of those developments involves the Fourth Industrial Revolution, which is having remarkable (r)evolutionary and disruptive changes in both the fields and the standards. These changes are triggered by the fusion of advanced operational and informational technologies, innovative operating and business models, as well as social and environmental pressures for more sustainable production systems. This chapter reviews past, current, and future issues and trends to establish a coherent vision and research agenda for the IFIP WG5.7 and its international community. The chapter covers a wide range of production aspects and resources required to design, engineer, and manage the next generation of sustainable and smart production systems.acceptedVersio

The impact of Industry 4.0 on the relationship between TPM and maintenance performance

Purpose In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance. Design/methodology/approach Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research. Findings The authors’ findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects. Originality/value With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement