International Journal of Collaborative Engineering http://www.inderscience.com/browse/index.php?journalID=161&year=2009&vol=1&issue=1/2 Inderscience Publishers Ltd en-uk International Journal of Collaborative Engineering 1745-0039 1745-0047 © 2009 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijce_scoverijce.jpg http://www.inderscience.com/browse/index.php?journalID=161&year=2009&vol=1&issue=1/2 http://www.inderscience.com/link.php?id=27438 Collaborative engineering requires collaborative group decisions. This paper presents foundations for a collaborative group decision model, and offers suggestions on how to implement such a model. Specifically, decision analysis techniques are explained to provide a sound foundation and a helpful tool to guide collaborative group decisions. These techniques do not oversimplify the realities of collaborative group decisions. They explicitly knowledge differences of judgements and values among group members and offer a constructive framework to account for these differences in the decision process. The foundations of collaborative group decisions
Ralph L. Keeney
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 4 - 18
Collaborative engineering requires collaborative group decisions. This paper presents foundations for a collaborative group decision model, and offers suggestions on how to implement such a model. Specifically, decision analysis techniques are explained to provide a sound foundation and a helpful tool to guide collaborative group decisions. These techniques do not oversimplify the realities of collaborative group decisions. They explicitly knowledge differences of judgements and values among group members and offer a constructive framework to account for these differences in the decision process.

]]> 10.1504/IJCE.2009.027438 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 4 - 18 Ralph L. Keeney The Fuqua School of Business, Duke University, 1 Towerview Drive, Durham, NC 27708, USA collaborative decisions group decisions collaboration decision analysis collaborative engineering decision making. 2009-07-24T23:20:50-05:00 1 1/2 4 18 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27437 The development of complex engineering systems requires collaboration and negotiation. It is to make correct decisions based on customer needs, Functional Requirements, Design Parameters, and Process Variables. There are two basic elements: the system and the process used for collaboration and negotiation. The system is to assure that the project has the best information and knowledge. Systems and processes are needed to minimise the cost of development, to execute the project on schedule, and to deliver a highly robust, efficient and reliable product. This paper proposes heuristic rules for collaboration and negotiation based on axiomatic design theory and complexity theory. Designing and engineering through collaboration and negotiation
N.P. Suh
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 19 - 37
The development of complex engineering systems requires collaboration and negotiation. It is to make correct decisions based on customer needs, Functional Requirements, Design Parameters, and Process Variables. There are two basic elements: the system and the process used for collaboration and negotiation. The system is to assure that the project has the best information and knowledge. Systems and processes are needed to minimise the cost of development, to execute the project on schedule, and to deliver a highly robust, efficient and reliable product. This paper proposes heuristic rules for collaboration and negotiation based on axiomatic design theory and complexity theory.

]]> 10.1504/IJCE.2009.027437 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 19 - 37 N.P. Suh The Park Centre for Complex Systems, Massachusetts Institute of Technology, Cambridge, MA 02139, USA collaboration negotiation engineering systems axiomatic design complexity collaborative engineering collaborative design customer needs functional requirements design parameters process variables. 2009-07-23T23:20:50-05:00 1 1/2 19 37 2009-07-23T23:20:50-05:00 http://www.inderscience.com/link.php?id=27439 Collaborative engineering is a dynamic socio-technical activity where a team of stakeholders works collaboratively to make group decisions based on collective rationality. This paper examines various impossibility conditions and possibility requirements for the existence of collective rationality from both theoretical and practical standpoints. Arrow's Impossibility Theorem is examined in light of the special characteristics of collaborative engineering problems. Since from a theoretical standpoint, no social welfare function can satisfy Arrow's rationality conditions of group decisions, this paper suggests some practical methods to guide collaborative engineering teams through teamwork and task-work iterations to approach collective rationality systematically when making group decisions. Collective rationality of group decisions in collaborative engineering
Stephen C-Y. Lu
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 38 - 74
Collaborative engineering is a dynamic socio-technical activity where a team of stakeholders works collaboratively to make group decisions based on collective rationality. This paper examines various impossibility conditions and possibility requirements for the existence of collective rationality from both theoretical and practical standpoints. Arrow's Impossibility Theorem is examined in light of the special characteristics of collaborative engineering problems. Since from a theoretical standpoint, no social welfare function can satisfy Arrow's rationality conditions of group decisions, this paper suggests some practical methods to guide collaborative engineering teams through teamwork and task-work iterations to approach collective rationality systematically when making group decisions.

]]> 10.1504/IJCE.2009.027439 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 38 - 74 Stephen C-Y. Lu The IMPACT Research Laboratory, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA collective rationality group decisions collaborative engineering decision making collaboration Arrow impossibility theory teamwork task work. 2009-07-24T23:20:50-05:00 1 1/2 38 74 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27440 The pervasive expansion of computers and internet has change the way people collaborate. Cybercollaboratories for collaborative engineering in form of web boards, blogs, e-mails, and instant messaging have become de facto mainstream communication channels. This paper reviews the new framework set after these technologies and presents how collaborative creativity and innovation can be modelled and supported using computational models. The paper continues presenting an innovation-support model based on the usage of genetic algorithms as computational metaphors of human innovation. The paper also discuses the results achieved using the proposed technologies in real-world collaborative creative processes. The innovation pump: supporting creative processes in collaborative engineering
Xavier Llora, David E. Goldberg
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 75 - 97
The pervasive expansion of computers and internet has change the way people collaborate. Cybercollaboratories for collaborative engineering in form of web boards, blogs, e-mails, and instant messaging have become de facto mainstream communication channels. This paper reviews the new framework set after these technologies and presents how collaborative creativity and innovation can be modelled and supported using computational models. The paper continues presenting an innovation-support model based on the usage of genetic algorithms as computational metaphors of human innovation. The paper also discuses the results achieved using the proposed technologies in real-world collaborative creative processes.

]]> 10.1504/IJCE.2009.027440 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 75 - 97 Xavier Llora David E. Goldberg Data-Intensive Technologies and Applications, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, 1205 W. Clark Street, Urbana, IL 61801, USA. ' Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, 104 S. Mathews Avenue, Urbana, IL 61801, USA creativity innovation modelling computer-supported innovation collaborative creative processes interactive GAs genetic algorithms collaborative engineering web boards blogs emails instant messaging collaboration. 2009-07-24T23:20:50-05:00 1 1/2 75 97 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27441 This paper analyses and discusses from various points of views to what extent Theory of Inventive Problem Solving (TRIZ) and its generalisation (OTSM) could contribute to the Engineering as Collaborative Negotiation (ECN) process instrumentation and evolution. First, decision-making and optimisation approach are compared with OTSM-TRIZ problem stating approach and overall strategies to perform steps of the ECN process are deduced. Then, it is briefly shown how OTSM-TRIZ deals with exploration and construction concepts that should both take place in ECN process. Finally, a general description of the Problem Flow Networks (PFN) approach based on OTSM-TRIZ technologies is given to show how it could be used within ECN process. Enhancing ECN's abilities to address inventive strategies using OTSM-TRIZ
Nikolai Khomenko, Roland De Guio, Denis Cavallucci
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 98 - 113
This paper analyses and discusses from various points of views to what extent Theory of Inventive Problem Solving (TRIZ) and its generalisation (OTSM) could contribute to the Engineering as Collaborative Negotiation (ECN) process instrumentation and evolution. First, decision-making and optimisation approach are compared with OTSM-TRIZ problem stating approach and overall strategies to perform steps of the ECN process are deduced. Then, it is briefly shown how OTSM-TRIZ deals with exploration and construction concepts that should both take place in ECN process. Finally, a general description of the Problem Flow Networks (PFN) approach based on OTSM-TRIZ technologies is given to show how it could be used within ECN process.

]]> 10.1504/IJCE.2009.027441 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 98 - 113 Nikolai Khomenko Roland De Guio Denis Cavallucci INSA de Strasbourg, 24, bd de la victoire, F-67084 Strasbourg, France. ' INSA de Strasbourg, 24, bd de la victoire, F-67084 Strasbourg, France. ' INSA de Strasbourg, 24, bd de la victoire, F-67084 Strasbourg, France TRIZ theory of inventive problem solving OTSM ECN collaborative engineering collaborative negotiation collaboration decision making optimisation problem flow networks. 2009-07-24T23:20:50-05:00 1 1/2 98 113 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27442 Collaboration has always been a key driving force behind human civilisation, and an integral part of the engineering profession. Engineered systems such as manufacturing systems and information systems are generally complex. Knowledge is inextricably bound up with human cognition, and the management of knowledge occurs within a complex environment. It is also essential for those designing KM systems to consider the human and social factors at play in the production and use of knowledge. This paper presents a systems analysis and design approach to support the design information and the methodologies needed for both a comprehensive and consistent design process. Knowledge Management in collaborative engineering
Waguih ElMaraghy
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 114 - 124
Collaboration has always been a key driving force behind human civilisation, and an integral part of the engineering profession. Engineered systems such as manufacturing systems and information systems are generally complex. Knowledge is inextricably bound up with human cognition, and the management of knowledge occurs within a complex environment. It is also essential for those designing KM systems to consider the human and social factors at play in the production and use of knowledge. This paper presents a systems analysis and design approach to support the design information and the methodologies needed for both a comprehensive and consistent design process.

]]> 10.1504/IJCE.2009.027442 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 114 - 124 Waguih ElMaraghy Faculty of Engineering, Department of Industrial and Manufacturing Systems Engineering (IMSE), Intelligent Manufacturing Systems Centre (IMS), University of Windsor, Windsor, Ontario, N9B 3P4, Canada information technology KM knowledge management collaborative engineering engineering design system analysis system design collaboration design process. 2009-07-24T23:20:50-05:00 1 1/2 114 124 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27443 Designing complex systems requires collaboration among multiple engineers who coordinate to plan tasks, cooperate to resolve dependencies, and co-construct to identify shared objectives and solutions. While collaboration technologies have been developed to date, few can help designers negotiate effectively and reach agreement efficiently. In this paper, we propose an argumentation based engineering negotiation approach that provides a structured framework for designers to specify design situations, compose arguments, and make joint decisions by following various strategies. The details of the proposed approach are described and a case study is presented to demonstrate the effectiveness of the approach. Argumentation-based negotiation for collaborative engineering design
Yan Jin, Mathieu Geslin
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 125 - 151
Designing complex systems requires collaboration among multiple engineers who coordinate to plan tasks, cooperate to resolve dependencies, and co-construct to identify shared objectives and solutions. While collaboration technologies have been developed to date, few can help designers negotiate effectively and reach agreement efficiently. In this paper, we propose an argumentation based engineering negotiation approach that provides a structured framework for designers to specify design situations, compose arguments, and make joint decisions by following various strategies. The details of the proposed approach are described and a case study is presented to demonstrate the effectiveness of the approach.

]]> 10.1504/IJCE.2009.027443 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 125 - 151 Yan Jin Mathieu Geslin Department of Aerospace and Mechanical Engineering, University of Southern California, 3650 McClintock Ave., OHE-430, Los Angeles, CA 90089-1453, USA. ' Honda R&D Americas, Inc., 1900 Harpers Way, Torrance, CA 90501-2746, USA collaborative design engineering negotiation argumentation coordination cooperation decision making co-construction agreement engineering design collaborative engineering collaboration. 2009-07-24T23:20:50-05:00 1 1/2 125 151 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27444 Mass customisation aims to deliver customised products with near-mass production efficiency. To simultaneously achieve customisation and efficiency, mass customisation requires collaborative engineering efforts between customers and manufacturers, who usually have different preferences concerning customisation. Collaborative engineering offers new methodologies and tools to address some of the inherent conflicts in mass customisation; reciprocally, mass customisation offers a realistic and promising test bed for developing collaborative engineering theories and technologies. This paper explores the synergies between these two fields of study, sketches out the scenarios of applying collaborative engineering in mass customisation, and points out some directions for future research. Mass customisation as a collaborative engineering effort
Songlin Chen, Yue Wang, Mitchell M. Tseng
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 152 - 167
Mass customisation aims to deliver customised products with near-mass production efficiency. To simultaneously achieve customisation and efficiency, mass customisation requires collaborative engineering efforts between customers and manufacturers, who usually have different preferences concerning customisation. Collaborative engineering offers new methodologies and tools to address some of the inherent conflicts in mass customisation; reciprocally, mass customisation offers a realistic and promising test bed for developing collaborative engineering theories and technologies. This paper explores the synergies between these two fields of study, sketches out the scenarios of applying collaborative engineering in mass customisation, and points out some directions for future research.

]]> 10.1504/IJCE.2009.027444 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 152 - 167 Songlin Chen Yue Wang Mitchell M. Tseng Advanced Manufacturing Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong. ' Advanced Manufacturing Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong. ' Advanced Manufacturing Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong mass customisation collaborative engineering synergy collaboration. 2009-07-24T23:20:50-05:00 1 1/2 152 167 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27445 Engineering education is evolving in a global context. Projects activities allow students structuring and applying the knowledge learned while facing problems. But, when taking into account MultiDisciplinary Optimisation (MDO), it is necessary to model and to exploit the all context and technical constraints. Two elements lead such approach. First of all, roadmaps give structured processes for the resolution of project objectives. Then, MDO allows solving local problems. The collaborative engineering needs to achieve the final choices based on the indications of strategic inputs, roadmaps and MDO results. This paper relates concrete experiences and proposes some progress for future engineering education. Collaborative engineering as a basic concept for teaching structuration
A. Bernard, N. Perry, P. Depince
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 168 - 184
Engineering education is evolving in a global context. Projects activities allow students structuring and applying the knowledge learned while facing problems. But, when taking into account MultiDisciplinary Optimisation (MDO), it is necessary to model and to exploit the all context and technical constraints. Two elements lead such approach. First of all, roadmaps give structured processes for the resolution of project objectives. Then, MDO allows solving local problems. The collaborative engineering needs to achieve the final choices based on the indications of strategic inputs, roadmaps and MDO results. This paper relates concrete experiences and proposes some progress for future engineering education.

]]> 10.1504/IJCE.2009.027445 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 168 - 184 A. Bernard N. Perry P. Depince IRCCyN, Ecole Centrale de Nantes, Nantes, France. ' LGM²B, Bordeaux 1 University, Bordeaux, France. ' IRCCyN, Ecole Centrale de Nantes, Nantes, France collaborative engineering decision making MDO multidisciplinary optimisation teaching engineering education collaboration. 2009-07-24T23:20:50-05:00 1 1/2 168 184 2009-07-24T23:20:50-05:00 http://www.inderscience.com/link.php?id=27446 To support collaborative design in software engineering, we have built a socio-technical negotiation approach by integrating a Socio-Technical Co-construction Process (STCP) with an Argument-Based Negotiation Process (ABNP). The STCP provides rich contextual information of technical decisions and social interactions in a software design process. The ABNP provides STCP with a conflict resolution strategy by guiding software engineers to generate, exchange and evaluate their argument claims in negotiation activities. This paper reviews relevant research work and presents each step of this negotiation approach. In addition, this paper describes a prototype system which implements this new approach using the advanced web-based software technologies with the goal of demonstrating the enhanced negotiation capabilities in a dynamic socio-technical framework. A socio-technical negotiation approach for collaborative design in software engineering
Stephen C-Y. Lu, Nan Jing
International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 185 - 209
To support collaborative design in software engineering, we have built a socio-technical negotiation approach by integrating a Socio-Technical Co-construction Process (STCP) with an Argument-Based Negotiation Process (ABNP). The STCP provides rich contextual information of technical decisions and social interactions in a software design process. The ABNP provides STCP with a conflict resolution strategy by guiding software engineers to generate, exchange and evaluate their argument claims in negotiation activities. This paper reviews relevant research work and presents each step of this negotiation approach. In addition, this paper describes a prototype system which implements this new approach using the advanced web-based software technologies with the goal of demonstrating the enhanced negotiation capabilities in a dynamic socio-technical framework.

]]> 10.1504/IJCE.2009.027446 International Journal of Collaborative Engineering, Vol. 1, No. 1/2 (2009) pp. 185 - 209 Stephen C-Y. Lu Nan Jing The IMPACT Research Laboratory, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA. ' The IMPACT Research Laboratory, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA collaborative engineering socio-technical framework ECN engineering collaboration engineering negotiation collaborative software design collaborative design software engineering co-construction argument based negotiation. 2009-07-24T23:20:50-05:00 1 1/2 185 209 2009-07-24T23:20:50-05:00