• Title/Summary/Keyword: workflow analysis

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Influence of Relationship Factors on Collaborative IT Activities and Firm Performance (기업간 관계요인이 협업적 IT 활동과 기업성과에 미치는 영향)

  • Jang, Si-Young;Choi, Young-Jin
    • Korean Management Science Review
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    • v.23 no.2
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    • pp.1-16
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    • 2006
  • With the diffusion of the Internet, firms try to electronically collaborate with their partners in order to cut costs and gain profits. This, electronic Partnership, called 'Collaborative IT' is quite popular between large purchase enterprises and small-to-medium sized sub-contractors. This study investigates such relations. This study proposes three groups of research variables-interorganizational relationship, collaborative IT activity, and firm performance. the interorganizational relationship consists of trust, commitment, and asymmetry of commitment. Collaborative IT activity is composed of information sharing and workflow integration. The ultimate dependent variable is firm performance. It is hypothesized that the relationship factors influence the level of collaborative IT activity, while the latter in turn affects the firm performance. The relationship factors nay also directly affect the dependent variable. In addition, collaborative IT motive, as a moderating variable, may influence the causal relationship. By means of survey, ore hundred and eighty-two responses were obtained. Most sample companies are small-sized, in the manufacturing sector. The analysis of data reveals that both trust and commitment positively affects the level of collaborative IT activity, while asymmetry of commitment has negative effects. The workflow integration is significantly related with firm performance. Information sharing, however, has no signific3nt effects. Furthermore, asymmetry of commitment shows reverse relationship with firm performance. Collaborative IT motive works as a moderating variable between information sharing and firm performance. Finally, workflow integration is believed to mediate between relationship factors and firm performance.

Pattern-based Analysis of Ubiquitous Process Design Based on Active Rules (능동형 규칙 기반 유비쿼터스 프로세스 설계의 워크플로우 패턴 분석)

  • Jung, Jae-Yoon;Park, Jong-Hun
    • The Journal of Society for e-Business Studies
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    • v.14 no.1
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    • pp.35-56
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    • 2009
  • Many process modeling techniques, such as Petri-net, UML Activity Diagram, and EPC, are used to design process models. In this paper, we analyze ubiquitous process design based on workflow patterns. In particular, we focus on process design using active rules that have the form of Event-Condition-Action, and deal with the WS-ECA language, which was devised for ubiquitous web services coordination. We first check whether workflow patterns can be designed with ECA rules, and we then provide WS-ECA representations for ECA rules of the patterns. The contribution of this paper is that ECA rule-based process models were presented based on workflow patterns and they can be a guideline for ubiquitous process modeling.

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Strategy Planning of Digital Shipbuilding Simulation byWorkflow Analysis of Production Planning in a Shipyard (조선소 생산계획 업무 프로세스 분석을 통한 디지털 선박생산 시뮬레이션 적용 전략 수립)

  • Lee, Kwangkook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.8
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    • pp.1761-1768
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    • 2013
  • Digital shipbuilding is a technology to reduce the total cost and lead time inevitably made by reschedule and rework in a shipyard. Strategic planning should be undertaken in order to have an effect on the applicable field. We aim at planning a strategy of digital shipbuilding technology by analysis of production planning workflow in this paper. In the basis of BPR methodology, the as-is business process is analyzed to build an workflow model, and derive the bottleneck business process. We dig into the inside details of the process to illustrate an diagram of the core improvement opportunities, and perform process simulation not only to create the application scenarios but also to expect the main effects. The application strategy will make a basic sketch to save both the production cost and time for high quality products in the shipyards.

Developing A Document-based Work-flow Modeling Support System A Case-based Reasoning Approach

  • Kim, Jaeho;Woojong Suh;Lee, Heeseok
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.06a
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    • pp.445-454
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    • 2001
  • A workflow model is useful fur business process analysis and has often been implemented for office automation through information technology. Accordingly, the results of workflow modeling need to be systematically managed as information assets. In order to manage the modeling process effectively, it is necessary to enhance the efficiency of their reuse. Therefore, this paper creates a Document-barred Workflow Modeling Support System (DWMSS) using a case-based reasoning (CBR) approach. It proposes a system architecture, and the corresponding modeling process is developed. Furthermore, a repository, which consists of a case base and vocabulary base, is built. A carte study is illustrated to demonstrate the usefulness of th is system.

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A Study of Artificial Intelligence Generated 3D Engine Animation Workflow

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.286-292
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    • 2023
  • This article is set against the backdrop of the rapid development of the metaverse and artificial intelligence technologies, and aims to explore the possibility and potential impact of integrating AI technology into the traditional 3D animation production process. Through an in-depth analysis of the differences when merging traditional production processes with AI technology, it aims to summarize a new innovative workflow for 3D animation production. This new process takes full advantage of the efficiency and intelligent features of AI technology, significantly improving the efficiency of animation production and enhancing the overall quality of the animations. Furthermore, the paper delves into the creative methods and developmental implications of artificial intelligence technology in real-time rendering engines for 3D animation. It highlights the importance of these technologies in driving innovation and optimizing workflows in the field of animation production, showcasing how they provide new perspectives and possibilities for the future development of the animation industry.

Analysis of Whole Transcriptome Sequencing Data: Workflow and Software

  • Yang, In Seok;Kim, Sangwoo
    • Genomics & Informatics
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    • v.13 no.4
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    • pp.119-125
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    • 2015
  • RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification.

Workflow of Cryo-Electron Microscopy and Status of Domestic Infrastructure

  • Choi, Ki Ju;Shin, Jae In;Lee, Sung Hun
    • Applied Microscopy
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    • v.48 no.1
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    • pp.6-10
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    • 2018
  • Cryo-electron microscopy (cryo-EM) allows the analysis of the near-native structures of samples such as proteins, viruses, and sub-cellular organelles at the sub-nano scale. With the recent development of analytical methods, this technique has achieved remarkable results. The importance of cryo-EM gained wide recognition due to last year's award of the Nobel Prize in Chemistry. To help promote the knowledge of this technique, this paper introduces the basic workflows of cryo-EM and domestic cryo-EM service institutes.

Information Engineering and Workflow Design in a Clinical Decision Support System for Colorectal Cancer Screening in Iran

  • Maserat, Elham;Farajollah, Seiede Sedigheh Seied;Safdari, Reza;Ghazisaeedi, Marjan;Aghdaei, Hamid Asadzadeh;Zali, Mohammad Reza
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.15
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    • pp.6605-6608
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    • 2015
  • Background: Colorectal cancer is a major cause of morbidity and mortality throughout the world. Colorectal cancer screening is an optimal way for reducing of morbidity and mortality and a clinical decision support system (CDSS) plays an important role in predicting success of screening processes. DSS is a computer-based information system that improves the delivery of preventive care services. The aim of this article was to detail engineering of information requirements and work flow design of CDSS for a colorectal cancer screening program. Materials and Methods: In the first stage a screening minimum data set was determined. Developed and developing countries were analyzed for identifying this data set. Then information deficiencies and gaps were determined by check list. The second stage was a qualitative survey with a semi-structured interview as the study tool. A total of 15 users and stakeholders' perspectives about workflow of CDSS were studied. Finally workflow of DSS of control program was designed by standard clinical practice guidelines and perspectives. Results: Screening minimum data set of national colorectal cancer screening program was defined in five sections, including colonoscopy data set, surgery, pathology, genetics and pedigree data set. Deficiencies and information gaps were analyzed. Then we designed a work process standard of screening. Finally workflow of DSS and entry stage were determined. Conclusions: A CDSS facilitates complex decision making for screening and has key roles in designing optimal interactions between colonoscopy, pathology and laboratory departments. Also workflow analysis is useful to identify data reconciliation strategies to address documentation gaps. Following recommendations of CDSS should improve quality of colorectal cancer screening.

BIM-based Lift Planning Workflow for On-site Assembly in Modular Construction Projects

  • Hu, Songbo;Fang, Yihai;Moehler, Robert
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.63-74
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    • 2020
  • The assembly of modular construction requires a series of thoroughly-considered decisions for crane lifting including the crane model selection, crane location planning, and lift path planning. Traditionally, this decision-making process is empirical and time-consuming, requiring significant human inputs. Recently, research efforts have been dedicated to improving lift planning practices by leveraging cutting-edge technologies such as automated data acquisition, Building Information Modelling (BIM) and computational algorithms. It has been demonstrated that these technologies have advanced lift planning to some degree. However, the advancements tend to be fragmented and isolated. There are two hurdles prevented a systematic improvement of lift planning practices. First, the lack of formalized lift planning workflow, outlining the procedure and necessary information. Secondly, there is also an absence of a shared information environment, enabling storages, updates and the distribution of information to stakeholders in a timely manner. Thus, this paper aims to overcome the hurdles. The study starts with a literature review in combination with document analysis, enabling the initial workflow and information flow. These were contextualised through a series of interviews with Australian practitioners in the crane-related industry, and systematically analysed and schematically validated through an expert panel. Findings included formalized workflow and corresponding information exchanges in a traditional lift planning practice via a Business Process Model and Notation (BPMN). The traditional practice is thus reviewed to identify opportunities for further enhancements. Finally, a BIM-based lift planning workflow is proposed, which integrates the scattered technologies (e.g. BIM and computational algorithms) with the aim of supporting lift planning automation. The resulting framework is setting out procedures that need to be developed and the potential obstacles towards automated lift planning are identified.

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Extension of the NEAMS workbench to parallel sensitivity and uncertainty analysis of thermal hydraulic parameters using Dakota and Nek5000

  • Delchini, Marc-Olivier G.;Swiler, Laura P.;Lefebvre, Robert A.
    • Nuclear Engineering and Technology
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    • v.53 no.10
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    • pp.3449-3459
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    • 2021
  • With the increasing availability of high-performance computing (HPC) platforms, uncertainty quantification (UQ) and sensitivity analyses (SA) can be efficiently leveraged to optimize design parameters of complex engineering problems using modeling and simulation tools. The workflow involved in such studies heavily relies on HPC resources and hence requires pre-processing and post-processing capabilities of large amounts of data along with remote submission capabilities. The NEAMS Workbench addresses all aspects of the workflows involved in these studies by relying on a user-friendly graphical user interface and a python application program interface. This paper highlights the NEAMS Workbench capabilities by presenting a semiautomated coupling scheme between Dakota and any given package integrated with the NEAMS Workbench, yielding a simplified workflow for users. This new capability is demonstrated by running a SA of a turbulent flow in a pipe using the open-source Nek5000 CFD code. A total of 54 jobs were run on a HPC platform using the remote capabilities of the NEAMS Workbench. The results demonstrate that the semiautomated coupling scheme involving Dakota can be efficiently used for UQ and SA while keeping scripting tasks to a minimum for users. All input and output files used in this work are available in https://code.ornl.gov/neams-workbench/dakota-nek5000-study.