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The purpose of this study is to identify the elements of the product-service system (PSS) business model of a Brazilian company that has been running it for almost 50 years. It describes the PSS business model and gives special attention to the financial aspects of PSS implementation and to contingent factors of this emerging country.

The research is based on a single case study. Data have been collected through interviews and document analysis. Results and implications are obtained using Canvas framework to structure information and comparison between theory and practice.

Results described in this paper show that the PSS design and implementation can be strongly influenced by financial and contingent factors. This case indicates that the implementation of PSS business models can follow diverse paths and configurations to fit with companies’ organizational features, local regulations and economic factors, including mixed transactional models and less demanding financial assessments.

This paper provides a roadmap of lessons learned from a multinational manufacturer that has been following the PSS business model for almost 50 years. This paper offers key insights concerning financial aspects and contingency factors that might influence servitization adoption.

The purpose of this paper is to propose and describe a method that uses recurrent problems to increase the efficiency and effectiveness of the diagnosis of new product development (NPD) processes and supports the identification of improvement opportunities. The proposed method, called Diagile, is based on recurrent current reality trees (CRTs) and is a new way of building CRTs that includes best project management practices, and the identification and prioritization of improvement opportunities. To support the execution of the method, recurrent problems were identified and a computational tool to aid the diagnosis, a database of improvement opportunities and an automated spreadsheet to prioritize improvement projects were developed.

The proposed method was evaluated through a controlled experiment at a multinational manufacturer of office supplies.

The results achieved confirm that the use of the Diagile method increases the diagnostic efficiency and effectiveness when compared to diagnoses performed by the traditional CRT method.

The validity of the method must be tested on a larger scale, since this work involved only one controlled experiment for this purpose. The experiment involved the participation of postgraduate research assistants, who cannot be considered specialists in the diagnosis of NPD. One could question whether the method will be as helpful for proficient users as well. The authors did not have proficient users available to run the experiment. However, the authors believe that such a specialist would save time in carrying out a diagnosis with Diagile, and also be more effective in validating the diagnosis. However, this assumption could not be tested here and can therefore be considered a limiting factor of the experiment. Nevertheless, the positive results of the evaluations of the companies and users of the two case studies corroborate the statement that the objective of this work was attained.

The greater efficiency and effectiveness provided by the proposed Diagile method was also evident in the identification and prioritization of improvement opportunities. The experimental group drew up a more relevant and coherent list of improvement projects than the control group, and provided documentation for these projects in the form of project charts. The authors believe these results can be of a great impact if implemented by practitioners.

This paper proposes a new way to perform diagnostic of NPD process. In particular, this process is well known to be highly strategic, nevertheless, normally excluded out of improvement initiatives because of its complexity. The diagnostic method proposed is a powerful tool to assist practitioners finding systemic improvement opportunities, expanding the assessment to all dimensions of a business process, e.g. people, technology and process activities.

This work explores the potential benefits of aligning the strategic planning process with a BPM program in a clinical research center (CRC). The purpose of this paper is to define a process for executing strategic planning oriented towards the promotion of a BPM program.

The method applied is action research. This allowed the solution of a practical problem and at the same time the proposition of a new approach to promote BPM in alignment with strategy, which was synthesized in the model presented.

The analysis and structuring of the strategic planning process, with the assessment of the as-is situation, were adequate as a preparation step for the first cycle of a BPM program in the CRC. Based on lessons learned along the research project, a model was proposed for the strategic planning process oriented towards promoting BPM.

The model was conceived from a single application at a CRC, through a cycle of action research. This is one of the limitations of this work. The model was not yet sufficiently tested in other contexts. This represents opportunities for future research.

The evaluation step in the action research cycle revealed that the organization in focus was satisfied with the results. New management practices in the organizations in focus were implemented as a result of this work.

Process improvement initiatives are a novelty in the CRC context, and this work may serve as a reference for CRC managers seeking to improve overall performance. The proposed model in this work indicates that a BPM program should start with strategic planning. An initial assessment of the as-is situation of the organization in focus was performed based on the analysis of the undesirable effects in the organization’s management practices, using a technique of the Theory of Constraints. The use of this technique facilitated the identification of solutions to the root causes identified in the assessment. The level of the assessment was deeper in comparison to results obtained with traditional tools used in strategic planning processes. The assessment supports the definition of actions oriented to solving the majority of the management dysfunctions of the organization in focus.

The purpose of this paper is to propose a method for adopting an Internet of Things (IoT) enabled product-service system (PSS) considering business model and product enhancements. The method focusses on business process implications of IoT. The paper also discusses a real application of the proposed method to the machinery industry.

Considering the IoT technologies available, failure mode and effects analysis is applied to identify what should be monitored in the product to minimize potential product failures. In parallel, in order to assist the company in deciding which PSS strategy to be followed, a Configurator of PSS proposals is applied. The results are derived to define the IoT architecture and the business process design supported by the selected IoT technologies.

The main findings include the proposed IoT-enabled PSS adoption method, illustrated by the description of the application and its assessment. In addition, the identification of key process areas that are impacted by IoT is offered, namely: remote machine setup; corrective and predictive maintenance; material supply; product pricing; and information reporting.

The application of the method proposed is limited to one company. Future work includes extending the application of the method to other units of analysis.

The method proposed can be considered by companies willing to increase product-service revenues based on IoT technologies.

The IoT-enabled PSS adoption method is an approach grounded on the intersection theories of PSSs and the more technology-oriented IoT developments.

This paper aims to describe the product development process (PDP) of companies in the textile industry, seeking to understand the dynamics of their management from different actors along the production chain.

Qualitative empirical research adopted a multiple case studies design in five large Brazilian organizations, each representing a link in the production chain.

Textile PDP follows structured steps. However, it is still an informal process. The use of methodologies and tools for decision-making and control gates throughout the process is limited. Performance indicators do not cover all dimensions of the PDP since sales and profit are the main parameters for assessing projects. The predevelopment macro phase varies according to the product type and the company's business model, whereas the postdevelopment macro phase is nonexistent. PDP projects are executed through collective efforts of multiple departments in cross-functional teams, except for the commodities firms.

The study allows managers of Brazilian textile companies to understand the best practices in the PDP and those that require more attention, taking into account different business models and sectors of the production chain.

Our results contribute to the literature and practitioners by providing an overview of PDP management in the textile industry, covering its different production chain actors, types of projects and companies' characteristics.

This study investigates the intellectual structure of the front-end of innovation (FEI) research field and elaborates a lifecycle model, which embraces the FEI progress and conceptual development.

This study analysed 355 papers published from 1987 to 2020 in the Scopus and Web of Science databases through bibliometrics, network analysis and content analysis.

This study reveals FEI research themes and topics and explores their evolution through three periods. In addition, following a lifecycle approach, it also sets the research field foundation and discusses the maturity and potential progress of the FEI intellectual structure.

This study complements the existing FEI reviews by capturing the most relevant topics in the area, showing how these topics relate to each other to form the intellectual domain and providing insights concerning the research progress through different lifecycle stages. It also extends the FEI database used in the other literature reviews.

The purpose of this paper is to report on a life cycle assessment (LCA)-based ecodesign teaching practice via university-industry collaboration in an industrial engineering undergraduate course.

A new course was designed and taught in the Industrial Engineering undergraduate course of a Federal University in Brazil. The course comprised explanatory lectures and a practical project developed in a partnership between the university and an industry partner where students had to develop Ecodesign proposals based on LCA to improve the environmental profile of both solid and reticulated paint brushes. To that end, students used the LCA software tool Umberto NXT v.7.1.13 (educational version), where they modeled the life cycle of four plastic brushes and assessed it using the impact categories of climate change and resource consumption, and the Ecoinvent v.3.3 database. After course completion, students, professors and industry collaborators were asked to provide feedback on the project performance and expectations.

The course design used was welcomed by both students and the industry partner. Students found the novel approach intriguing and useful to their future careers. The results also exceeded the industry partner’s expectations, as students formulated valuable insights. Professors observed that learning was made easier, as content was put into practice and internalized more easily and solidly. The approach was found to be a win-win-win.

Students acquired a fair share of knowledge on sustainability issues and potential existing trade-offs, which is valuable to industrial practices. The industry noticed the valuable contributions that academia can provide. The university profited from providing students with a real case challenging traditional teaching methods.

To the best of the authors’ knowledge, this is one of the first case studies to show how LCA and ecodesign teaching practice can support sustainability learning in an industrial engineering undergraduate course.

This study aims to develop a synthetic knowledge repository consisted of interrelated Web Ontology Language.

The ontology composes the main framework to categorize data of product life cycle with eco-design mode (PLC-EDM) and automatically infer specialists’ knowledge for data confirmation, eventually assisting the utilizations and generation of strategies toward decision-making

(i) utilization of a novel model with ontology mode for information reuse cross the different eco-design applications; (ii) generation of a sound platform toward life cycle evaluation; and (iii) implementation of the PLC-EDM model along the product generation process.

It cannot substitute an evaluation tool of life cycle. Certainly, this model does not predict the “target and range” and/or the depiction of the “utility module” that are basic activities in life cycle assessments as characterized through the international organization for standardization regulations.

As portion of this framework, a prototype Web application is presented which is applied to produce, reuse and verify knowledge of product life cycle.

By counting upon the ontology, the information conducted by the utilization is certainly semantically represented to promote the data sharing among various participants and tools. Besides, the data can be verified against possible faults by inferring over the ontology. Hence, a feasible way to a popular topic in the domain of eco-design applications extension in the industry.

The goals are: to lean on rigid modeling principles; and to promote the interoperability and diffusion of the ontology toward particular utilization demands.

To review the state-of-the-art in smart remanufacturing, highlighting key elements of an Industry 4.0 (I4.0) future that supports circular economy (CE) principles and offer a conceptual framework and research agenda to accelerate digitalisation in this sector.

The Scopus, Web of Science and ScienceDirect databases and search terms “Industry 4.0”, “Internet of things”, “Smart manufacturing” and “Remanufacturing” were used to identify and select publications that had evidence of a relationship between those keywords. The 329 selected papers were reviewed with respect to the triple bottom line (economic, social and environmental). The study benefited from advanced text quantitative processing using NVivo software and a complete manual qualitative assessment.

Changes in product ownership models will affect the remanufacturing industry, with the growth of product-service-systems seen as an opportunity to re-circulate resources and create value. This is being supported by changes in society, user expectations and workforce attributes. Key to the success of remanufacturing in an I4.0 future is the uptake of existing and emerging digital technologies to shorten and strengthen links between product manufacturers, users and remanufacturers.

Remanufacturing is recognised as a key CE strategy, which in turn is an important research area for development in our society. This article is the first to study “smart remanufacturing” for the CE. Its uniqueness lies in its focus on the remanufacturing industry and the sustainable application of I4.0 enablers. The findings are used to create a framework that links to the research agenda needed to realise smart remanufacturing.