Value Aggregation for Collaborative Design Decision-Making

2006 ◽  
pp. 291-299 ◽  
Keyword(s):  
Decision Making ◽  
Collaborative Design ◽  
Design Decision

A Multidisciplinary Framework to Model Complex Team-Based Product Development

2016 ◽  
Vol 138 (6) ◽  
Author(s):  
Shun Takai
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Product Development ◽  
Decision Analysis ◽  
Collaborative Design ◽  
Equilibrium Analysis ◽  
Design Decision ◽  
Behavioral Game Theory ◽  
Behavioral Game ◽  
Team Project

This paper investigates a multidisciplinary framework that simulates design decisions in a complex team-based product development in which engineers simultaneously work on a team project and individual projects. The proposed framework integrates collaborative design with (1) equilibrium analysis, (2) uncertainty modeling based on behavioral game-theory results, and (3) noncooperative decision making using decision analysis. In the proposed framework, noncooperative decision making is used to simulate engineers’ decisions about team-project commitment and to analyze potential free riding. Collaborative design is used to model design outcomes when engineers commit to the team project. Equilibrium analysis and behavioral game-theory results are used to infer uncertainty about other engineers’ decisions. Decision analysis is used to calculate expected values of decision alternatives. The proposed framework and the design decision making model are illustrated using a pressure vessel design as a team project conducted by two engineers: a design engineer and a materials engineer.

Collaborative design decision-making as social process

2018 ◽  
Vol 44 (3) ◽  
pp. 294-311 ◽  
Author(s):  
Chris Campbell ◽  
Wolff-Michael Roth ◽  
Alfredo Jornet
Keyword(s):  
Decision Making ◽  
Collaborative Design ◽  
Social Process ◽  
Design Decision

An Integrative Bargaining Paradigm for Investigating Multidisciplinary Design Tradeoffs

1994 ◽  
Vol 38 (16) ◽  
pp. 1028-1032 ◽  
Author(s):  
Clifford E. Brown ◽  
Jonathan A. Selvaraj ◽  
Brian S. Zaff ◽  
Michael D. McNeese ◽  
Randall D. Whitaker
Keyword(s):  
Decision Making ◽  
Collaborative Design ◽  
Research Effort ◽  
Multidisciplinary Design ◽  
Design Decision ◽  
Design Teams ◽  
Experimental Paradigm ◽  
Initial Report ◽  
Initial Validation ◽  
Design Tradeoffs

In design teams, decision making entails negotiation among parties pursuing common goals with potentially divergent interests and objectives (Bucciarelli, 1988). In multidisciplinary design teams, these parties negotiate from perspectives further biased by their respective backgrounds, expertise, and roles. System design can be improved if we better understand how technical data are communicated and assimilated, how mutually advantageous tradeoffs are discovered, and how the managing of design tradeoffs can best be supported. As part of our larger research effort in Collaborative Design Technology, we are examining the processes by which integrative design tradeoffs are realized, in preparation for enhancing these processes through data visualization and communication tools facilitating mutual understanding and consensual decision making. This initial report describes our work to date in creating and validating an experimental paradigm to serve as a testbed for subsequent studies of multidisciplinary design practice. This paper describes the paradigm and the initial attempts to demonstrate its ecological validity. This initial validation effort involved a comparison of novices and experts in the field of design and their performance on the design decision making task. We found that experts performed better than novices on the design task, which provided initial validation support for the experimental paradigm.

A Context-Based Approach to Engineering Design Negotiation

2005 ◽  
Author(s):  
Mathieu Geslin ◽  
Yan Jin
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Collaborative Design ◽  
Large Scale ◽  
Research Direction ◽  
Distributed Artificial Intelligence ◽  
Future Research ◽  
Design Decision ◽  
Context Model ◽  
Engineering Design Problems

Complex and large-scale engineering design problems require a collaborative approach in order to be completed in a timely manner. Designers involved in such work are making collaborative design decision, and often have to negotiate to address intricate problems and resolve their discrepancies while exploring the design space, generating new ideas and compromising for agreement. Advances in negotiation research have been made in social psychology, distributed artificial intelligence, and decision theory, but few have been applied to design. We advocate that design context information is of paramount importance in the decision-making process. In this paper, an argumentation-based negotiation model is introduced to support collaborative design decision-making. This model relies on clear design context model, argument model, negotiation protocol and strategies. In this paper, we successively detail each of these components and conclude with a discussion on a real-world case example and our future research direction.

A Model of Collaborative Design Decision Making Using Timed Petri-Net

2006 ◽  
Author(s):  
Zhiqiang Chen ◽  
Zahed Siddique
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Petri Net ◽  
Collaborative Design ◽  
Process Model ◽  
Design Decision ◽  
Design Problems ◽  
Design Variables ◽  
And Performance ◽  
Improved Design

This paper presents a Petri-net process model that captures the dependency relationships of design decision making and information exchanges among multiple design problems in a distributed environment. The Model of Distributed Design (MDD) allows quantitative representation of a collaborative design process in which designers from multiple disciplines can effectively work together. The MDD is developed based on the Petri-net graph, which allows various performance analysis to be performed to evaluate and improve a collaborative design process. In this paper, the compromise Decision Support Problem (c-DSP) formulation is used to describe the design problems and the Petri-net is utilized to explicitly describe the propagation of shared design variables and the interactions. The applicability of the model is demonstrated through an example design problem that requires collaboration among four design disciplines. The design processes based on the example are modeled and then analyzed to obtain process features and performance evaluations. Based on the analysis results, an improved design process is given which shortens the design time.

scholarly journals Integrating Value Considerations in the Decision Making for the Design of Biorefineries

2020 ◽  
Vol 26 (6) ◽  
pp. 2927-2955
Author(s):  
Mar Palmeros Parada ◽  
Lotte Asveld ◽  
Patricia Osseweijer ◽  
John Alexander Posada
Keyword(s):  
Decision Making ◽  
Complex Systems ◽  
Research And Development ◽  
Design Process ◽  
Design Decision ◽  
Value Sensitive Design ◽  
Design Practice ◽  
Novel Approach ◽  
Design Alternatives ◽  
Biobased Production

AbstractBiobased production has been promoted as a sustainable alternative to fossil resources. However, controversies over its impact on sustainability highlight societal concerns, value tensions and uncertainties that have not been taken into account during its development. In this work, the consideration of stakeholders’ values in a biorefinery design project is investigated. Value sensitive design (VSD) is a promising approach to the design of technologies with consideration of stakeholders’ values, however, it is not directly applicable for complex systems like biorefineries. Therefore, some elements of VSD, such as the identification of relevant values and their connection to a technology’s features, are brought into biorefinery design practice. Midstream modulation (MM), an approach to promoting the consideration of societal aspects during research and development activities, is applied to promote reflection and value considerations during the design decision making. As result, it is shown that MM interventions during the design process led to new design alternatives in support of stakeholders' values, and allowed to recognize and respond to emerging value tensions within the scope of the project. In this way, the present work shows a novel approach for the technical investigation of VSD, especially for biorefineries. Also, based on this work it is argued that not only reflection, but also flexibility and openness are important for the application of VSD in the context of biorefinery design.

Arrow's Theorem and Engineering Design Decision Making

1999 ◽  
Vol 11 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Michael J. Scott ◽  
Erik K. Antonsson
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Design Decision ◽  
Arrow’S Theorem ◽  
Arrow's Theorem

scholarly journals Systems Thinking in Tolerance and Quality-related Design Decision-making

Procedia CIRP ◽  
2015 ◽  
Vol 27 ◽  
pp. 59-64 ◽  
Author(s):  
Steven Hoffenson ◽  
Rikard Söderberg
Keyword(s):  
Decision Making ◽  
Systems Thinking ◽  
Design Decision ◽  
Related Design

scholarly journals Building the Sun4Cast System: Improvements in Solar Power Forecasting

2018 ◽  
Vol 99 (1) ◽  
pp. 121-136 ◽  
Author(s):  
Sue Ellen Haupt ◽  
Branko Kosović ◽  
Tara Jensen ◽  
Jeffrey K. Lazo ◽  
Jared A. Lee ◽  
...  
Keyword(s):  
Decision Making ◽  
Value Chain ◽  
Solar Irradiance ◽  
Collaborative Design ◽  
Solar Power ◽  
Spatial Scales ◽  
Weather Prediction ◽  
Solar Array ◽  
Solar Power Forecasting ◽  
Power Forecasting

Abstract As integration of solar power into the national electric grid rapidly increases, it becomes imperative to improve forecasting of this highly variable renewable resource. Thus, a team of researchers from the public, private, and academic sectors partnered to develop and assess a new solar power forecasting system, Sun4Cast. The partnership focused on improving decision-making for utilities and independent system operators, ultimately resulting in improved grid stability and cost savings for consumers. The project followed a value chain approach to determine key research and technology needs to reach desired results. Sun4Cast integrates various forecasting technologies across a spectrum of temporal and spatial scales to predict surface solar irradiance. Anchoring the system is WRF-Solar, a version of the Weather Research and Forecasting (WRF) numerical weather prediction (NWP) model optimized for solar irradiance prediction. Forecasts from multiple NWP models are blended via the Dynamic Integrated Forecast (DICast) System, which forms the basis of the system beyond about 6 h. For short-range (0–6 h) forecasts, Sun4Cast leverages several observation-based nowcasting technologies. These technologies are blended via the Nowcasting Expert System Integrator (NESI). The NESI and DICast systems are subsequently blended to produce short- to midterm irradiance forecasts for solar array locations. The irradiance forecasts are translated into power with uncertainties quantified using an analog ensemble approach and are provided to the industry partners for real-time decision-making. The Sun4Cast system ran operationally throughout 2015 and results were assessed. This paper analyzes the collaborative design process, discusses the project results, and provides recommendations for best-practice solar forecasting.

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