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

Papageorgiou, Evangelos; Eres, Hakki; Scanlan, James P.

doi:10.1080/09544828.2016.1214693

Cited by 22 publications

(11 citation statements)

References 69 publications

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“…Instead of assuming the game is zero-sum, a hybrid model is created that manages stakeholder expectations in a functional way, as well as identifying and modelling important decisions that have to be made for the bargaining process to continue. It provides a single, all-accounting solution for a design based on stakeholder preferences and design requirements (Papageorgiou 2016).…”

Section: Complexity Management Methodsmentioning

confidence: 99%

Perspectives on Managing Emergent Risk due to Rising Complexity in Aerospace Systems

DeTurris

Palmer

2018

INCOSE International Symp

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Managing complexity in the aerospace industry is essential for effective development of modern engineered systems. Preventing emergent risk while maintaining cost and schedule discipline is the main objective for addressing uncontrolled self‐organization due to complexity. Emergent risk can be quantified by viewing systems from multiple stakeholder and design perspectives to more accurately assess unforeseen behaviors. Methods for dealing with complexity that come from the systems, organizational and complexity science perspectives are considered and transposed into an aerospace context. This survey highlights commonalities between complexity management methods, systems design models, and elements of systems thinking that can be used to predict and prepare for emergent behavior in the system. Using new points‐of‐view in design gives practicing engineers more information with which to view and manipulate system properties. Ultimately, the solution for managing complexity lies in multidisciplinary collaboration in order to solve problems that span multiple academic domains.

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Section: Complexity Management Methodsmentioning

confidence: 99%

Perspectives on Managing Emergent Risk due to Rising Complexity in Aerospace Systems

DeTurris

Palmer

2018

INCOSE International Symp

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“…Several methods for making decisions based on multiple value attributes exist (Ross et al 2010;Papageorgiou, Eres, and Scanlan 2016). In this paper, we use multi-attribute utility theory, as presented by Keeney and Raiffa (1993).…”

Section: Multi-attribute Utility Theorymentioning

confidence: 99%

Ill-Structured Commercial Ship Design Problems: The Responsive System Comparison Method on an Offshore Vessel Case

Pettersen

Rehn

Garcia

et al. 2018

Journal of Ship Production and Design

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In this paper, we address difficulties in ill-structured ship design problems. We focus on issues related to evaluation of commercial system performance, involving perceptions of value, risk and time, to better understand trade-offs at the early design stages. Further, this paper presents a two-stakeholder offshore ship design problem. The Responsive Systems Comparison (RSC) method is applied to the case to untangle complexity, and to address how one can structure the problem of handling future contextual uncertainty to ensure value robustness. Focus is on alignment of business strategies of the two stakeholders with design decisions through exploration and evaluation of the design space. Uncertainties potentially jeopardizing the value propositions are explicitly considered using epoch-era analysis. The case study demonstrates the usefulness of the RSC method for structuring ill-structured design problems.

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“…Instead of assuming the game is zero-sum, a created hybrid model manages stakeholder expectations in a functional way, as well as identifying and modelling important decisions for the bargaining process to continue. It provides a single, all-accounting solution for a design based on stakeholder preferences and design requirements (Papageorgiou 2016).…”

Section: Interfaces Interactions Interdependenciesmentioning

confidence: 99%

Perspectives on Managing Emergent Risk Due to Rising Complexity in Aerospace Systems

DeTurris

Palmer

2018

INSIGHT

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Managing complexity in the aerospace industry is essential for effective development of modern engineered systems. Preventing emergent risk while maintaining cost and schedule discipline is the main objective for addressing uncontrolled self‐organization due to complexity. Engineers can quantify emergent risk by viewing systems from multiple stakeholder and design perspectives to assess unforeseen behaviors more accurately. In aerospace engineers consider and transpose methods for dealing with complexity that come from the systems, organizational, and complexity science perspectives. This survey highlights commonalities between complexity management methods, systems design models, and elements of systems thinking that can help engineers predict and prepare for emergent behavior in the system. Using new points‐of‐view in design gives practicing engineers more information with which to view and manipulate system properties. The solution for managing complexity lies in multidisciplinary collaboration to solve problems that span multiple academic domains.

show abstract

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

Cited by 22 publications

References 69 publications

Perspectives on Managing Emergent Risk due to Rising Complexity in Aerospace Systems

Perspectives on Managing Emergent Risk due to Rising Complexity in Aerospace Systems

Ill-Structured Commercial Ship Design Problems: The Responsive System Comparison Method on an Offshore Vessel Case

Perspectives on Managing Emergent Risk Due to Rising Complexity in Aerospace Systems

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