Decision making - Product Development Research Lab

A data-driven design framework for early stage PSS design exploration

14th February 2020
No Comment

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 […]

Sharing

Supporting Early Stage Set-Based Concurrent Engineering with Value Driven Design

12th December 2019
1 Comment

Abstract Set-Based Concurrent Engineering is commonly adopted to drive the development of complex products and systems. However, its application requires design information about a future product that is often not mature enough in the early design stages, and that it is not encompassing a service and lifecycle- oriented perspective. There is a need for manufacturers […]

Sharing

Life cycle simulation to support cross-disciplinary decision making in early PSS design

22nd June 2019
1 Comment

ABSTRACT The development of early-stage simulation capabilities is a critical step in the quest for ‘frontloading’ early stage PSS design activities, reducing the cost and risk for rework associated with sub-optimal decisions. This paper describes how life cycle simulations, based on a Discrete Event approach, can be applied to support cross-disciplinary decision making in PSS design, facilitating […]

Sharing

Data Visualization in Conceptual Design: Developing a Prototype to Support Decision Making

10th September 2018
1 Comment

ABSTRACT In recent years, data visualization has received a lot of attention and widely applicate in many areas. Data is a treasure, a lot of valuable information hidden inside. While visualizing the hidden information concisely and intuitively is a critical task. In this paper, we explore how data visualization could support conceptual design. A specific […]

Sharing

PDRL at MOSIM’18: Master thesis work candidate to Young Research Award

3rd September 2018
1 Comment

How do we deal with the visualization of complex data to improve the conceptual design stage? This was the topic of the paper presented by Xin Yi, former MSPI student at BTH, and now a PhD student at University of Toulouse (INSA) at the 12thInternational Conference on Modeling, Optimization and Simulation that took place in […]

Sharing

Role and Challenges of Data-Driven Design in the Product Innovation Process

13th June 2018
1 Comment

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 […]

Sharing

On knowledge maturity and biased nature of staged decision making in a high consequence industry

25th May 2018
1 Comment

ABSTRACT This paper explores and problematizes decision-making in a high-consequence industry which is characterized by the stage-gate process. We showcase that decision-makers do not differentiate between the types of knowledge used for modelling decisions and calculation of risks. This makes them susceptible to incorporating cognitive distortions—biases—into the stage-gate process. We conclude by amending the risk […]

Sharing

Model-based decision support for value and sustainability assessment: applying machine learning in aerospace product development

25th May 2018
2 Comments

ABSTRACT This paper presents a prescriptive approach toward the integration of value and sustainability models in an automated decision support environment enabled by machine learning (ML). The approach allows the concurrent multidimensional analysis of design cases complementing mechanical simulation results with value and sustainability assessment. ML allows to deal with both qualitative and quantitative data […]

Sharing

A model-driven decision arena: Augmenting decision making in early design

14th May 2018
3 Comments

ABSTRACT A wide variety of expert competencies, transcending traditional disciplines, are needed to foresee and evaluate the impact of decisions in the conceptual phase of engineering design. Where this previously was a trade-off regarding design and development of the pure physical artefact it is now a complex ambiguity game involving all disciplines touching a solution […]

Sharing

Mining data to design value: a demonstrator in early design

6th October 2017
No Comment

ABSTRACT The paper presents a study run to verify the applicability of data mining algorithms as decision support in early design stages of a product development project. The paper describes a two-stage scenario providing the rationale for the application of data science in engineering design. Furthermore, it describes a demonstrator showing how data can be […]

Sharing