Pub Date : 2009-07-27DOI: 10.1504/IJCE.2009.027442
W. ElMaraghy
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.
{"title":"Knowledge Management in collaborative engineering","authors":"W. ElMaraghy","doi":"10.1504/IJCE.2009.027442","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027442","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116380024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-07-27DOI: 10.1504/IJCE.2009.027438
R. Keeney
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.
{"title":"The foundations of collaborative group decisions","authors":"R. Keeney","doi":"10.1504/IJCE.2009.027438","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027438","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121157309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-07-27DOI: 10.1504/IJCE.2009.027445
A. Bernard, N. Perry, P. Dépincé
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.
{"title":"Collaborative engineering as a basic concept for teaching structuration","authors":"A. Bernard, N. Perry, P. Dépincé","doi":"10.1504/IJCE.2009.027445","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027445","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127002838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-07-27DOI: 10.1504/IJCE.2009.027440
Xavier Llorà, D. Goldberg
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.
{"title":"The innovation pump: supporting creative processes in collaborative engineering","authors":"Xavier Llorà, D. Goldberg","doi":"10.1504/IJCE.2009.027440","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027440","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"28 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-07-27DOI: 10.1504/IJCE.2009.027439
S. Lu
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.
{"title":"Collective rationality of group decisions in collaborative engineering","authors":"S. Lu","doi":"10.1504/IJCE.2009.027439","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027439","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123115759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-07-27DOI: 10.1504/IJCE.2009.027443
Yan Jin, Mathieu Geslin
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.
{"title":"Argumentation-based negotiation for collaborative engineering design","authors":"Yan Jin, Mathieu Geslin","doi":"10.1504/IJCE.2009.027443","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027443","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132798425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-07-24DOI: 10.1504/IJCE.2009.027437
N. Suh
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.
{"title":"Designing and engineering through collaboration and negotiation","authors":"N. Suh","doi":"10.1504/IJCE.2009.027437","DOIUrl":"https://doi.org/10.1504/IJCE.2009.027437","url":null,"abstract":"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.","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134132633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.1504/ijce.2020.10033950
Graham Smith, E. LoGiudice, M. Walter, Kimberly M. Williams, S. Allred, C. Georgakakos, J. Cerra
{"title":"Cross-disciplinary learning in environmental engineering and landscape architecture","authors":"Graham Smith, E. LoGiudice, M. Walter, Kimberly M. Williams, S. Allred, C. Georgakakos, J. Cerra","doi":"10.1504/ijce.2020.10033950","DOIUrl":"https://doi.org/10.1504/ijce.2020.10033950","url":null,"abstract":"","PeriodicalId":275090,"journal":{"name":"International Journal of Collaborative Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131285620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：