• Title/Summary/Keyword: Business Automation

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Automation and Common Utilization Plans of Job and Organization Analysis of Producing Institutions (생산기관 직제분석 자동화 및 공통 활용 방안)

  • Kang, Yoona;Park, Tae-yeon;Kim, Hyunjin;Oh, Hyo-Jung
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.81-99
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    • 2021
  • Job and organization analysis of producing institutes is a task that identifies the history of transition and major business functions for various record-producing institutions and must be performed in common within the archives, and many workers must jointly refer to the relevant knowledge. However, in the field, a limited number of people in charge are individually performing by manual work, and the results are not shared. Therefore, this study aims to reduce the work burden of workers through the automation of the job and organization analysis process and build basic resources that can be commonly used by the archives. This study subdivided the task of job and organization analysis into manual, semi-automation, and automation parts by performing FGI with the practitioner of the archive and suggested ways to realize it. In addition, we derive the basic analysis data that can be commonly referenced in the electronic records management process, and by verifying the results through practitioners, efficient use of knowledge resources is suggested. Furthermore, by establishing a standardized work process, we intend to lay the foundation to support consistent and systematic work performance.

RPA Log Mining-based Process Automation Status Analysis - An Empirical Study on SMEs (RPA 로그 마이닝 기반 프로세스 자동화 현황 분석 - 중소기업대상 실증 연구)

  • Young Sik Kang;Jinwoo Jung;Seonyoung Shim
    • Journal of Intelligence and Information Systems
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    • v.29 no.1
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    • pp.265-288
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    • 2023
  • Process mining has generally analyzed the default logs of Information Systems such as SAP ERP, but as the use of automation software called RPA expands, the logs by RPA bots can be utilized. In this study, the actual status of RPA automation in the field was identified by applying RPA bots to the work of three domestic manufacturing companies (cosmetic field) and analyzing them after leaving logs. Using Uipath and Python, we implemented RPA bots and wrote logs. We used Disco, a software dedicated to process mining to analyze the bot logs. As a result of log analysis in two aspects of bot utilization and performance through process mining, improvement requirements were found. In particular, we found that there was a point of improvement in all cases in that the utilization of the bot and errors or exceptions were found in many cases of process. Our approach is very scientific and empirical in that it analyzes the automation status and performance of bots using data rather than existing qualitative methods such as surveys or interviews. Furthermore, our study will be a meaningful basic step for bot behavior optimization, and can be seen as the foundation for ultimately performing process management.

A Method for Business Process Analysis by using Decision Tree (의사결정나무를 활용한 비즈니스 프로세스 분석)

  • Hur, Won-Chang;Bae, Hye-Rim;Kim, Seung;Jeong, Ki-Seong
    • The Journal of Society for e-Business Studies
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    • v.13 no.3
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    • pp.51-66
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    • 2008
  • The Business Process Management System(BPMS) has received more attentions as companies increasingly realize the importance of business processes. However, traditional BPMS has focused mainly on correct modeling and exact automation of process flow, and paid little attention to the achievement of final goals of improving process efficiency and innovating processes. BPMS usually generates enormous amounts of log data during and after execution of processes, where numerous meaningful rules and patterns are hidden. In the present study we employ the data mining technique to find out useful knowledge from the complicated process log data. A data model and a system framework for process mining are provided to help understand the existing BPMS. Experiments with the simulated data demonstrate the effectiveness of the model and the framework.

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e-Lollapalooza: A Process-Driven e-Business Service Integration System fore-Logistics Services

  • Kim, Kwang-Hoon;Ra, Il-Kyeun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.1 no.1
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    • pp.33-51
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    • 2007
  • There are two newly emerging research issues in the enterprise information systems literature. One is the scalability issue for rapidly increasing choreographic volumes between interrelated organizations. The other is the business intelligence issue for traceable and monitorable business processes and services interchanging e-Business data and applications across organizations. Based upon these emerging issues, through a functional extension of the ebXML technology we have developed a process-driven e- Business service integration (BSI) system, which is named ‘e-Lollapalooza’. It consists of three major components ? the Choreography Modeler coping with the processdriven collaboration issue, the Runtime & Monitoring Client for coping with the business intelligence issue and the EJB-based BSI Engine coping with the scalability issue. This paper particularly focuses on the e-Lollapalooza’s development aspects for supporting the ebXML-based choreography and orchestration among the engaged organizations in a process-driven multiparty collaboration for e-Logistics and e- Commerce services. Here, it is fully deployed in an EJB-based middleware computing environment for e-Logistics process automation and B2B choreography.

A Case Study on Farmers' Participation in Farmland Bank : Focusing on Long-term Leasing Business of Farmland in Gangwon Province (참여농가 사례분석을 통한 농지장기임대차사업 개선방안에 관한 연구 : 강원도를 중심으로)

  • Yi, Hyangmi;Kim, Mi Young
    • Journal of Korean Society of Rural Planning
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    • v.20 no.3
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    • pp.55-66
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    • 2014
  • Under high agricultural automation in rice farming, cultivation acreage expansion can be considered for the economies of scale. Also, considering the circumstances of higher ratio in leased farms than independent farms, Long-term Leasing Business of Farmland can be the most public and transparent method to expand cultivation acreage for lease farming. Therefore, this research observes the various factors such as application motives, satisfaction, and demands of Long-term Leasing Business of Farmland, which the importance is on the rise and serves as a means to increase agricultural expansion, as well as its operational performance analysis. The research results and implications are as follows. Long-term Leasing Business of Farmland have positive effects such as ensuring stable farming through documental contract, providing convenience because the lease contractor requires no meetings during the contract period, providing opportunities to expand the farm size, and acquiring economical gain which is linked to satisfaction aspects of the businesses. On the other hand, demands such as strengthened business advertisement, writing business documents by correlating with related organizations, and clear lease price configuration were made by the businesses. To bring improvements, this research proposes; 1) expanding support to related businesses, 2) providing convenience through related organization correlations, and 3) configuring clear lease prices considering the regional conditions.

The study of a full cycle semi-automated business process re-engineering: A comprehensive framework

  • Lee, Sanghwa;Sutrisnowati, Riska A.;Won, Seokrae;Woo, Jong Seong;Bae, Hyerim
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.103-109
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    • 2018
  • This paper presents an idea and framework to automate a full cycle business process management and re-engineering by integrating traditional business process management systems, process mining, data mining, machine learning, and simulation. We build our framework on the cloud-based platform such that various data sources can be incorporated. We design our systems to be extensible so that not only beneficial for practitioners of BPM, but also for researchers. Our framework can be used as a test bed for researchers without the complication of system integration. The automation of redesigning phase and selecting a baseline process model for deployment are the two main contributions of this study. In the redesigning phase, we deal with both the analysis of the existing process model and what-if analysis on how to improve the process at the same time, Additionally, improving a business process can be applied in a case by case basis that needs a lot of trial and error and huge data. In selecting the baseline process model, we need to compare many probable routes of business execution and calculate the most efficient one in respect to production cost and execution time. We also discuss the challenges and limitation of the framework, including the systems adoptability, technical difficulties and human factors.

Development of Inventory Control System for Large-scale Retailers using Neural Network and (s*,S*) Policy (신경회로망과 (s*,S*) 정책을 이용한 대규모 유통업을 위한 재고 관리 시스템의 개발)

  • 김우주
    • The Journal of Information Systems
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    • v.6 no.1
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    • pp.223-256
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    • 1997
  • Since the business scales of retailing companies become to be very large and the number of items dealt increases explosively, automation of inventory management becomes one of the most important issues to solve in retailing industry. In order to accomplish this automation of inventory management, there must be a great need to a method which can perform real-time decision making on inventory control in an automatic fashion, while communicating with inventory information systems like POS system and automatic warehousing system. But even in this circumstance, there are also many obstructions to such automation like varying demands, limited capacity of warehouse and exhibition room, need for strategic consideration on inventory control, etc., in a real sense. Due to these reasons, it seems very difficult that most large-scaled retailing companies get fully automated inventory management system. To overcome those difficulties and reflect them into inventory control, we propose a automated inventory control methodology for retailing industry based on neural network and policy model. Especially, policy model is devised to deal with dynamic varying demands and using this model, strategic goals on inventory can be considered into inventory control mechanism. Our proposed approach is implemented in workstation and its performance is also empirically verified also against to real case of one of the major retailing firm in Korea.

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Automation Technique of Testing User Interface of Web Application (웹 어플리케이션의 사용자 인터페이스 테스트 자동화 기법)

  • Kwon, Young-Ho;Choi, Eun-Man
    • The KIPS Transactions:PartD
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    • v.10D no.2
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    • pp.293-300
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    • 2003
  • As Internet has grown rapidly and been more complex by technology in connection with Web and requirement of business, qualify and reliability of Web application are getting important. It is necessary to study about testing method along with design technique specially in Web application. This paper explains automation method of user interface test to make test cases about user input form with HTML pages using by built-in browser objects. Examples shows the possibility of testing automation with Javascript objects get mapped. Overhead of writing Javascript can be reduced by making script generator. Generated test scripts are repeatedly used in regression testing Web-based application.

A Framework for Supporting RFID-enabled Business Processes Automation

  • Moon, Mi-Kyeing
    • Journal of information and communication convergence engineering
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    • v.9 no.6
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    • pp.712-720
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    • 2011
  • Radio frequency identification (RFID) is an established technology and has the potential, in a variety of applications, to significantly reduce cost and improve performance. As RFID-enabled applications will fulfill similar tasks across a range of processes adapted to use the data gained from RFID tags, they can be considered as software products derived from a common infrastructure and assets that capture specific ions in the domain. This paper discusses a framework that supports the development of RFID-enabled applications based on a business process family model (BPFM), explicitly representing both commonalities and variabilities. To develop this framework, common activities are identified from RFID-enabled applications and the variabilities in the common activities are analyzed in detail using variation point concepts. Through this framework, RFID data is preprocessed, and thus, RFID-enabled applications can be developed without having to process RFID data. Sharing a common model and reusing assets to deploy recurrent services may be considered an advantage in terms of economic significance and the overall product quality afforded.

Extended Trigger Modelling for the Workflow Analysis and Design: Case of Telecommunication Company (워크플로 분석/설계를 위한 확장 트리거 모델링: 전화국 사례)

  • Han, Dong-Il;Park, Sei-Kwon
    • IE interfaces
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    • v.9 no.3
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    • pp.236-248
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    • 1996
  • Most of business enterprises today struggle with the coordination of work which is one of the most challenging problems in the business environment. And the situation becomes worse by the increasing complexity and uncertainty. In this paper, suitability of workflow technology for the modelling, optimization, and automation in the complex business structures is discussed. Also, in the abscence of a fully fledged method for analysis and design of workflow systems, this paper proposes a method, ETM(Extended Trigger Modelling), which can solve several problems in other methods. The proposed ETM approach consists of three stages such as situation analysis stage, activity coordination stage and implementation preparation stage. A modelling case of the proposed procedure is also presented.

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