Congratulations Syed Azad Chowhery, Licentiate in Mechanical Engineering!

Congratulations Syed Azad Chowhery, Licentiate in Mechanical Engineering!

Syed Azad Chowdhery presented his licentiate thesis entitled “A data-driven approach for Product-Service Systems design: Using data and simulation to understand the value of a new design concept” in front of an interested audience both present, and via online, on Friday afternoon.

Syed presented the context and motivation for his research and then took the audience through research methodology and findings (thesis consists of a summary part and three individual research publications) and then landed in a summary of his findings.

The licentitate thesis “crew”. Johan Wall (supervisor), Mehdi Tarkian (opponent), Syed Azad Chowdhery, Marco Bertoni (supervisor), Tobias Larsson (Supervisor/examiner).

Opponent for the day was the researcher Mehdi Tarkian of Linköping University. Mehdi went went deeper into details to press Syed and enrich the knowledge around the material and in order to get a sense of how Syed had approached the research and also on how conclusion where made.

At the end also the audience had the chance to ask questions on the research.

Examiner Professor Tobias Larsson then concluded by declaring that Syed had passed the exam and achieved the licentiate degree.

Besides the examiner the supervisors of Syed has been Assistant Professor Johan Wall and Associate Professor Marco Bertoni.

Thesis abstract

Global challenges such as increasingly competitive markets, low-cost competition, shorter lead time demands, and high quality/value output are transforming the business model of the company to focus beyond the performance requirements. In order to meet these challenges, companies are highly concerned with the customer perceived value, which is to connect the product with the customer in a better way and become more proactive to fulfil the customer needs, via function-oriented business models and Product-Service Systems.

In literature, the conceptual phase is distinguished as the most critical phase of the product development process. Many authors have recognized the improvement of design in the conceptual phase as the mean to deliver a successful product in the market. At the decision gate, where concepts are selected for further development, the design team needs knowledge/data about the long-term consequences of their early decision, to see how changes in design propagate to the entire lifecycle of the product.

The main goal of the thesis is to describe how the design of Product-Service Systems in the conceptual phase can be improved through the use of a data-driven approach. The latter provides an opportunity to enhance decision making and to provide better support at the early development phase. The study highlights how data are managed and used in current industrial setting and indicates the room for improvement with current practices. The thesis further provides guidelines to efficiently use data into the modelling and simulation activities to increase design knowledge. As a result of this study, a data-driven approach emerged to support the early design decision.

 The thesis presents initial descriptive study findings from the empirical investigations, showing a model-based approach that creates awareness about the value of a new design concept, thus acting as a key enabler to use data in design. This will create a link between the product engineering characteristic to the high-level attributes of customer satisfaction and provider’s long-term profitability. The preliminary results indicate that the application of simulation models to frontload the early design stage creates awareness about how performance can lead to value creation, helping multidisciplinary teams to perform quick trade-off and what-if analysis on design configurations. The proposed framework shows how data from various sources are used through a chain of simulations to understand the entire product lifecycle. The proposed approach holds a potential to improve the key performance indicators for Product-Service Systems development: lead time, design quality, cost and most importantly deliver a value-added product to the customer.

Keywords: Engineering design, data-driven design, conceptual phase, Value-Driven Design, Product-Service Systems

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