Collaborative multidisciplinary decision making using game theory and design capability indices

Xiao, Angran; Zeng, Saixing; Allen, Janet K.; Rosen, David W.; Mistree, Farrokh

doi:10.1007/s00163-005-0007-x

Cited by 71 publications

(32 citation statements)

References 26 publications

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“…Trappey et al [158], between engineering disciplinary teams for collaborative decision making, Xiao et al [159], and the design of an aero-structural aircraft wing shape optimisation, with the design space split into two supplementary subspaces assigned to two virtual players of an adapted non-cooperative game,…”

Section: Game Theory In Engineering Designmentioning

confidence: 99%

Development and application of a value driven design assessment framework to an unmanned air system design

Papageorgiou

2018

2018 Advances in Science and Engineering Technology International Conferences (ASET)

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The work presented in this thesis concerns the development of a value driven engineering design assessment framework and its application to the conceptual design of an Unmanned Air System (UAS) to be utilised in a defence application. This research demonstrates the implementation of the value driven design philosophy in this framework, identifying value enhancing designs, with value not converted to monetary worth and as perceived by all stakeholders involved. A multi-criteria and multi-stakeholder decision making analysis is adopted to address their preferences as well as to study their interacting strategic choices. The ultimate objective of this framework is to convert engineering design to a decision making analysis with multiple conflicting objectives of multiple stakeholders considered.This framework is capable of providing a product definition and estimation of all performance and cost related attributes for the conceptual phase. However, instead of pertaining to a single aircraft concept, a broad range of combinations of UAS configurations and geometries is generated by systematically searching alternative concepts and design configurations through a novel parameterization of the aircraft geometric topologies.Value, related to the designed system's capabilities or performance and lifecycle cost, is used to compare different alternatives in the decision making of engineering design through the appropriate value model. Following a valuefocused approach, a novel multi-attribute value model is introduced for objectively capturing the stakeholder's preferences and expectations. Furthermore, a more sophisticated multi-attribute utility model, based on standard Multi-attribute Utility Theory, is employed in the evaluation.Game Theory as an optimization tool is used to develop a novel hybrid cooperative/non-cooperative non-zero sum, complete information game among all involved stakeholders as players. This game successfully addresses the stakeholders' preferences in a functional outcome-focused way, resolving the high indeterminacy of the alternative designs through a cooperative game. At the same time, their strategic interactions are captured in a process-focused non-cooperative game. Hence, the optimal design is identified through the simultaneous employment of the Nash bargaining solution and the Nash equilibrium.i

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Section: Game Theory In Engineering Designmentioning

confidence: 99%

Development and application of a value driven design assessment framework to an unmanned air system design

Papageorgiou

2018

2018 Advances in Science and Engineering Technology International Conferences (ASET)

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“…The Nash equilibrium constitutes the set of all players' strategic choices and their corresponding payoffs, if each player has chosen a strategy and no player can benefit by changing their strategy, while the other players keep theirs unchanged. Nash equilibrium was employed in many engineering design cases, for example in the engineering asset management between maintenance chain participants in a negotiation model (Trappey, Trappey and Ni 2013), between engineering disciplinary teams for collaborative decision making (Xiao et al 2005), and the design of an aero-structural aircraft wing shape optimisation (Desideri 2012).…”

Section: Game Theory In Engineering Decision Makingmentioning

confidence: 99%

Quantum-based Decision Making Under Uncertainty in the Presence of Entanglement for the Development of Optimal Strategies in Engineering Design

Papageorgiou¹,

Kamperi²

2017

SET

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The work presented concerns the development of a quantum-based decision making model utilised in the identification of optimal strategies in engineering design under uncertainty in a quantum-like entangled decision making, assessing intention interference. Several experiments and decision making paradoxes have manifested the deficiency of rationality assumption employed by classical decision making theory, with humans often violating the hypotheses of the expected utility theory and Game Theory by making irrational choices. Quantum Decision Theory (QDT) is the basis of the proposed decision making model, since only this theory can be employed to develop an operational tool in any social interplay, given the preferences of the individuals/players, to assess the quantum probabilities of their strategies. The decision makers' brain is assumed of a dual nature, with brain processes divided to conscious and subconscious constituent parts and the computed quantum strategic probabilities consisted of two parts, the first one being rationality related and the other one capturing biases, emotions and feelings. Hence, given a priori the preferences of the decision makers, this model can be utilised as an operational tool for decision making under uncertainty in the presence of entanglement assessing the quantum probabilities of the players' strategies in any engineering design. This quantum-based decision making model, identifying the optimal strategic choices of the stakeholders involved, is employed in the presented conceptual design of an Unmanned Air System (UAS), based on both the stakeholders' rationality, personal intuitive feelings and behavioural biases.

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“…Game Theory as an optimisation tool, modelling decision interactions among rational players as noncooperative games, has been applied in numerous engineering design cases. Nash equilibrium was employed in the engineering asset management between maintenance chain participants in a negotiation model (Trappey, Trappey and Ni 2013), between engineering disciplinary teams for collaborative decision making (Xiao et al 2005), and the design of an aero-structural aircraft wing shape optimisation (Desideri 2012). The selection of players varies from actual persons, agents to aircraft components evaluated (Runyan et al 2010) or using different disciplines/technologies (Habbal, Petersson and Thellner 2004).…”

Section: Application Of Game Theory In Engineering Designmentioning

confidence: 99%

Value modelling for multi-stakeholder and multi-objective optimisation in engineering design

Papageorgiou

Eres

Scanlan

2016

Journal of Engineering Design

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The work presented culminates in the development of a value model used in the conceptual phase of engineering design, with the preferences of more than one stakeholder addressed in the Multi-Stakeholder and Multi-Objective Optimization. The "value" of proposed solutions is assessed in an objective way both from performance and economic perspectives, while the optimal solution is identified based on the needs of the user and manufacturer, as major stakeholders. This novel value model for consistent value assessment synthesizes the multiattribute value/utility analysis with the Game Theory and Analytic Hierarchy Process (AHP) assessment methodologies. During the multi-criteria decision analysis, the deficiencies, introduced by the arbitrary numerical scales used in AHP to convert the linguistic preferences of the user between the various attributes to numerical values, are resolved. The preferences of a group of experts/decision makers are synthesized in the group value model through the extraction of weighting factors from the individuals' AHP pairwise comparison matrices. Moreover, Game Theory is used in a hybrid cooperative/bargaining, non-cooperative non-zero sum game between the stakeholders as players, identifying the optimal design through the simultaneous employment of the Nash bargaining solution and the Nash equilibrium.

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Collaborative multidisciplinary decision making using game theory and design capability indices

Cited by 71 publications

References 26 publications

Development and application of a value driven design assessment framework to an unmanned air system design

Development and application of a value driven design assessment framework to an unmanned air system design

Quantum-based Decision Making Under Uncertainty in the Presence of Entanglement for the Development of Optimal Strategies in Engineering Design

Value modelling for multi-stakeholder and multi-objective optimisation in engineering design

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