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Purpose To propose a method for adopting an Internet of Things (IoT) enabled Product-Service System (PSS) considering business model and product enhancements. The method focuses on business process implications of IoT. The paper also discusses a real application of the proposed method to the machinery industry. Design/methodology/approach Considering the IoT technologies available, Failure Mode and Effects Analysis (FMEA) 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. Findings 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. Research limitations/implications 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. Practical implications The method proposed can be considered by companies willing to increase product-service revenues based on IoT technologies. Originality/value The IoT-enabled PSS adoption method is an approach grounded on the intersection theories of Product-Service Systems and the more technology-oriented IoT developments.

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Product development is considered as an interdisciplinary undergraduate course with a central role in engineering education. In this sense, this paper demonstrates an experience of a product development undergraduate course based on a project-based learning (PBL) perspective. PBL has been discussed in the literature as one of the most effective teaching frameworks for engineering courses, but there is still scarce research on PBL implementation in engineering education in developing countries. The course scope was reviewed to include engineering management content and to face some barriers for PBL implementation highlighted in the literature. The student activities were organized in four development phases following a structured stage-gate development process. The results achieved include a higher level of learning perception and increased complexity of products generated by students. Besides demonstrating the improvements in the course, this paper contributes to PBL empirical body of knowledge by exploring a successful initiative and its outcomes. KeywordsEngineering education. New product development. Design process. Project-based learning. PBL.How to cite this article: Zancul, E. S., Sousa-Zomer, T. T., & Cauchick-Miguel, P. A. (2017). Project-based learning approach: improvements of an undergraduate course in new product development. Production, 27(spe), e20162252. http://dx

Additive manufacturing (AM) has been used to produce complex parts usually in small batch sizes. Recently, AM has been gaining importance with the development of new production technologies encompassing a wider range of materials. These new technologies allow broader AM application in the industry, beyond traditional usage in rapid prototyping. As a result, the number of parts being produced by AM technologies has been increasing. The differences among AM production technologies and the specific capabilities and restrictions of each available manufacturing machine result in complex manufacturing process definition. Moreover, process technology knowledge in the area is still limited to few professionals. In order to support process manufacturing to evaluate which AM technology would be best suited to produce a particular part, this paper presents a method for selecting the AM process based on the technical specifications of a part. The method relies on Analytic Hierarchy Process (AHP) to rank the most appropriate technologies and machines. Relevant parameters of the main machines available in the market were raised. These parameters are considered in the selection of machines able to produce a particular part considering its specifications. Practical applications of the method resulted in adequate responses to support manufacturing process definition.