Petri Net-based Coordination Component for Collaborative Design

Huang, Hong‐Zhong; Xu, Huifu; Zu, Xu

doi:10.1177/1063293x10379765

Cited by 7 publications

(3 citation statements)

References 12 publications

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“…The main difference between collaborative and collective design lies within the structuredness of the knowledge and the means of communication. In (Huang et al, 2010), authors distinguish the difference between 'tightly coupled collaborative design' -which requires project management tools and sophisticated coordination mechanisms among participants; and 'loosely coupled collaborative design' -which is based on social protocols and participants' abilities that do not require any explicit coordination. With the rise of the internet, loosely coupled collaborative networks such as Wikipedia (Panciera et al, 2009) have emerged, where people voluntarily self-organize and develop significant intellectual products as an expression of 'radically different types of collective intelligence' (Matthews et al, 2012).…”

Section: Background and Related Workmentioning

confidence: 99%

Collective design in 3D printing: A large scale empirical study of designs, designers and evolution

Özkil

2017

Design Studies

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Section: Background and Related Workmentioning

confidence: 99%

Collective design in 3D printing: A large scale empirical study of designs, designers and evolution

Özkil

2017

Design Studies

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“…To obtain the reliability of a complex system, the reliability model should be built to describe the failure logic relationship between the whole system and its compositions. In recent decades, various reliability modeling methods have been developed for complex systems, where some static and dynamic modeling techniques, including RBD model, fault tree (FT) model, binary decision diagrams model, Markov model, dynamic FT (DFT) model, and Petri net model have been applied.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Binary State Reliability Computation for a Complex System Based on Extended Bernoulli Trials: Multiple Autonomous Robots

Fazlollahtabar

Niaki

2017

Quality & Reliability Eng

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Availability of a system is a crucial factor for planning and optimization. The concept is more challenging for modern systems such as robots and autonomous systems consisting of a complex configuration of components. In this paper, a reliability evaluation framework is developed for a system of binary state autonomous robots in an automated manufacturing environment. In this framework, the concepts in functional block diagram, table of truth, and sum of state are employed simultaneously to develop a binary state reliability model. Due to inefficacy of the method for larger number of components involved in complex systems, an extension of the Bernoulli trials is proposed. In an implementation study, the effectiveness and computational efficiency of the proposed method are illustrated. In addition, an analysis on the failure rate using the maximum likelihood estimation and confidence interval is reported. Copyright © 2017 John Wiley & Sons, Ltd.

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“…Research in these non-military fields then provides some insight into approaches for integration. Emerging research in these areas indicates there is a connection between agreeing on a common conceptual model and the integration level of the resulting product [53], [54], [55]. In their research COA Action, Klein et al demonstrated that for experts in tactical decision making having a common conceptual model enables joint option awareness [56].…”

Section: Conceptual Models Planning and Designmentioning

confidence: 99%

Resilient Organizational Architectures for Command and Control

Levis¹

2014

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE fDD-MM-VyyYj ABSTRACTA formal definition of organizational resilience is articulated in which the three stages of avoidance, survival, and recovery are included. Three measures of performance. Capacity, Tolerance, and Flexibility are considered and several computable measures for each are defined. A case study of the resilience of a Maritime Operations Center operating in a contested cyber environment illustrate the research results. In addition, an approach for integrating and synchronizing the planning by functional components was developed. Finally, a domain specific approach was developed for using meta-modeling and multi-modeling to address the evaluation the design of C2 organizations. 5a. CONTRACT NUMBER. Enter all contract numbers as they appear in the report, e.g. F33315-86-C-5169. SUBJECT TERMS5b. GRANT NUMBER. Enter all grant numbers as they appear in the report, e.g. AFOSR-82-1234. 5c. PROGRAM ELEMENT NUMBER.Enter all program element numbers as they appear in the report, e.g. 61101 A.5e. TASK NUMBER. Enter all task numbers as they appear in the report, e.g. 05; RF0330201; T4112.5f. WORK UNIT NUMBER. Enter all work unit numbers as they appear in the report, e.g. 001; AFAPL30480105. AUTHOR(S). Enter name(s) of person(s)responsible for writing the report, performing the research, or credited with the content of the report. The form of entry is the last name, first name, middle initial, and additional qualifiers separated by commas, e.g. Smith, Richard, J, Jr. PERFORMING ORGANIZATION NAME(S) AND ADDRESS{ES). Self-explanatory. PERFORMING ORGANIZATION REPORT NUMBER.Enter all unique alphanumeric report numbers assigned by the performing organization, e.g. BRL-1234; AFWL-TR-85-4017-VOI-21-PT-2. " SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES).Enter the name and address of the organization(s) financially responsible for and monitoring the work. SPONSOR/MONITOR'S ACRONYM(S).Enter, if available, e.g. BRL, ARDEC, NADC. SPONSOR/MONITOR'S REPORT NUMBER(S).Enter report number as assigned by the sponsoring/ monitoring agency, if available, e.g. BRL-TR-829; -215. The overall objectives of the effo...

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Petri Net-based Coordination Component for Collaborative Design

Cited by 7 publications

References 12 publications

Collective design in 3D printing: A large scale empirical study of designs, designers and evolution

Collective design in 3D printing: A large scale empirical study of designs, designers and evolution

Binary State Reliability Computation for a Complex System Based on Extended Bernoulli Trials: Multiple Autonomous Robots

Resilient Organizational Architectures for Command and Control

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