Work Structure Based Collaborative Engineering Design

Author(s):  
Li Zhao ◽  
Yan Jin

Collaborative engineering design requires multiple people working together to achieve a common goal. Data sharing approach and workflow management approach have been developed to support collaborative design, but the disconnection of these two approaches has led to problems of efficiency and adaptability. In this paper, we propose a work structure based approach for collaborative design. Our goal is to improve process efficiency and adaptability by integrating management processes with engineering details and allowing designers to make certain managerial decisions through peer coordination. For a specific task, a work structure is a network of engineering work items connected by dynamically acquired engineering dependencies. It is used to generate multiple processes from which the one that best fits the current situation is dynamically determined through coordination among team participants. In order to capture engineering dependencies and associate engineering details, an adaptive work process model is developed that explicitly represents engineering work, work structure, and processes. Based on this model, a set of operations and algorithms are developed for intelligent agents to provide coordination support. Experiments have shown that by following this approach, engineering design processes can dynamically adapt to both requirement and resource changes, and the process efficiency can be significantly improved.

Author(s):  
Li Zhao ◽  
Yan Jin

Abstract Collaborative engineering involves multiple engineers and managers working together to develop engineering products. As the engineering problems become more and more complicated, new technologies are required to achieve better effectiveness and efficiency. While process models management and technologies have been developed to support engineering design, most of them apply only to routine design tasks and do not explicitly deal with the change of processes during execution. Our research proposes a process-driven framework to support collaborative engineering. The framework is composed of a process model that captures both high level and low level activity dependencies, an agent network that monitors process execution and facilitates coordination among engineers, and a Petri-net based modeling tool to represent and analyze process features and predict the performance of engineering processes. In this paper, we first describe a simple collaborative design problem and our proposed ActivePROCESS collaborative engineering framework. After that we present our Petri-net based analytical model of collaborative design process and discuss the model along with a case example.


Author(s):  
Kai-Lu Wang ◽  
Yan Jin

Abstract Collaborative engineering design involves coordination among designers. While coordination in most cases entails explicit communication between designers, the real reason for designers to coordinate with each other is not for communication but for resolving engineering dependencies. In the field of collaborative engineering research, various computer models and tools have been developed to facilitate communication among designers aiming to improve their communication efficiency for coordination. We argue that in order to provide effective and purposeful coordination support, one must understand how engineering dependencies evolve and propagate in different phases, of design, from problem definition, conceptual design, to detail design. In our research on collaborative design, we take a dependency-based approach, i.e., to explicitly capture and manipulate dependencies and create design processes and support tools based on explicit understanding of underlying dependencies. The long term goal of our research is to develop a dependency-based coordination framework that consists of a formal model of engineering dependencies and coordination mechanisms, mapping between the dependencies and coordination methods, and guidelines and procedures for dependency-based work process design and management. This paper describes our current status of developing a formal model of engineering dependencies.


Author(s):  
Gu¨l E. Okudan ◽  
Deborah J. Medeiros

This paper reviews recent developments and persisting challenges in facilitating collaborative engineering design. The review has two foci: 1) design information and representations, and 2) engineering workstations. Recent developments regarding these foci are discussed for their contribution to facilitating collaborative design. The paper concludes with directing attention to current challenges and recommendations for research.


Author(s):  
STEPHEN C.-Y. LU ◽  
JIAN CAI

Collaborative engineering design involves various stakeholders with different perspectives. The design process is relatively complex and difficult to handle. Various conflicts always happen among the design tasks and affect the design team performance. Therefore, to represent the collaborative design process and capture the evolution of design perspectives in a structured way, it is critical to manage the design conflicts and improve the collaborative design productivity. This article provides a generic collaborative design process model based on a sociotechnical design framework. This model has a topological format and adopts process analysis techniques from Petri Nets. By addressing both the technical and social aspects of collaborative design activities, it provides a mechanism to identify the interdependencies among design tasks and perspectives of different stakeholders. Based on this design process model, a methodology of detecting and handling the design conflicts is developed to support collaborative design coordination.


Author(s):  
Jonathan Sauder ◽  
Yan Jin

Students are frequently trained in a variety of methodologies to promote their creativity in the collaborative environment. Some of the training and methods work well, while others present challenges. A collaborative stimulation approach is taken to extend creative cognition to collaborative creativity, providing new insights into design methodologies and training. An experiment using retrospective protocol analysis, originally conducted to identify the various types of collaborative stimulation, revealed how diversity of past creative experiences correlates with collaborative stimulation. This finding aligns with previous research. Unfortunately, many current engineering design education programs do not adequately provide opportunities for diverse creative experiences. As this study and other research has found, there is a need to create courses in engineering design programs which encourage participation in diverse creative activities.


Author(s):  
Heiko Henning Thimm

Today’s companies are able to automate the enforcement of Environmental, Health and Safety (EH&S) duties through the use of workflow management technology. This approach requires to specify activities that are combined to workflow models for EH&S enforcement duties. In order to meet given safety regulations these activities are to be completed correctly and within given deadlines. Otherwise, activity failures emerge which may lead to breaches against safety regulations. A novel domain-specific workflow meta data model is proposed. The model enables a system to detect and predict activity failures through the use of data about the company, failure statistics, and activity proxies. Since the detection and prediction methods are based on the evaluation of constraints specified on EH&S regulations, a system approach is proposed that builds on the integration of a Workflow Management System (WMS) with an EH&S Compliance Information System. Main principles of the failure detection and prediction are described. For EH&S managers the system shall provide insights into the current failure situation. This can help to prevent and mitigate critical situations such as safety enforcement measures that are behind their deadlines. As a result a more reliable enforcement of safety regulations can be achieved.


2000 ◽  
Author(s):  
Patricia M. Jones ◽  
Beth A. Brucker ◽  
Van J. Woods ◽  
Blessing F. Adeoye

2018 ◽  
Author(s):  
Tehya Stockman ◽  
Claire Kincaid ◽  
Thomas Heale ◽  
Steven Meyer ◽  
Alexandra Strong

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