Abstract The paper presents an approach where the iterative replication of Discrete Event Simulations on future operational scenarios is used to derive data-driven design merit functions. The presented contribution proposes an extension of the EVOKE (Early Value Oriented Design Exploration with Knowledge Maturity) approach determining when and how the experience-based judgment about maximization, minimization, optimization, […]
Read More
Abstract The emergence of IoT has propelled the traditionally known Product-Service System (PSS) to be characterized by smarter technologies, enabling them to collect and process data from the operational stage and facilitate communication between the customer and the provider. Commonly referred to as Smart Product-Service Systems (Smart PSS), these systems promise to create value at […]
Read More
Abstract The digitalization era has brought about unprecedented challenges for the manufacturing industries, pushing them to deliver solutions that encompass both product and service-related dimensions, known as Product-service Systems. This paper presents a number of lessons learned in the process of integrating the analysis of operational data as decision support in engineering design based on […]
Read More
Abstract The paper presents a systematic literature review investigating definitions, uses, and application of data-driven design in the concept development process. The analysis shows a predominance of the use of text mining techniques on social media and online reviews to identify customers’ needs, not exploiting the opportunity granted by the increased accessibility of IoT in cyber-physical systems. […]
Read More
ABSTRACT: The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product Value Streams of a product innovation process and indicates how data-driven activities shall be structured and organised in relation to the different phases of a […]
Read More
Abstract Ubiquitous and pervasive computing holds great potential in the domain of Product-Service Systems to introduce a model-driven paradigm for decision support. Data-driven design is often discussed as a critical enabler for developing simulation models that comprehensively explore the PSS design space for complex systems, linking of performances to customer and provider value. Emerging from […]
Read More
Roberto Sala joins the Product Development Research Lab until the end of February 2020 to strengthen our research on data-driven decision-methods for PSS delivery. Roberto graduated in Management Engineering at Politecnico di Milano and is now a final year PhD student at the department of Department of Management, Information and Production Engineering at University of […]
Read More
ABSTRACT The paper discusses the role and the challenges of integrating Data-Driven Design (DDD) models in the product innovation process. Firstly, based on academic literature on the Product Innovation Value Streamsand on Model-Based Decision Supports, the paper highlights how and when the use of DDD models can support a more effective product innovation process. Secondly, it […]
Read More
ABSTRACT The construction industry is ripe for disruption through innovative solutions that provide added productivity. Equipment manufacturers are attempting to disrupt their industry with investments in autonomy, electrification and product-service system business models. Designing solutions that will operate in completely new systems or modify an existing complex system require new approaches to address the uncertainty […]
Read More
PDRL (Product Development Research Lab) was well represented at the conference with six research papers and hosted a workshop on “Design of Product-Service Systems (Extended Reality technologies for PSS design)”.
Read More