• Title/Summary/Keyword: order completion time

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An Establishment of Guideline and Evaluation Items for Before-and-After Study in Railroad Construction Projects (철도건설공사 사후평가 항목 및 지침 수립방안)

  • Kim, Yeon Kyu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.2D
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    • pp.315-322
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    • 2011
  • The Korea government set a Act called as Before and After Study for a huge SOC projects in order to check their feasibility again at the time of design, construction and completion period. However, the evaluation items and analysis method are so vague that its effectiveness has been challenged. Especially railroad projects need to be evaluated differently by railroad construction types and rolling stocks. This paper suggests the evaluation items as a common items and exclusive items on the type of construction and rolling stocks. Also data collection in the standardized form and GIS techniques and are introduced to analyze evaluation items effectively.

Development of An On-line Scheduling Framework Based on Control Principles and its Computation Methodology Using Parametric Programming (실시간 일정계획 문제에 대한 Control 기반의 매개변수 프로그래밍을 이용한 해법의 개발)

  • Ryu, Jun-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.12
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    • pp.1215-1219
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    • 2006
  • Scheduling plays an important role in the process management in terms of providing profit-maximizing operation sequence of multiple orders and estimating completion times of them. In order to takes its full potential, varying conditions should be properly reflected in computing the schedule. The adjustment of scheduling decisions has to be made frequently in response to the occurrence of variations. It is often challenging because their model has to be adjusted and their solutions have to be computed within short time period. This paper employs Model Predictive Control(MPC) principles for updating the process condition in the scheduling model. The solutions of the resulting problems considering variations are computed using parametric programming techniques. The key advantage of the proposed framework is that repetition of solving similar programming problems with decreasing dimensionis avoided and all potential schedules are obtained before the execution of the actual processes. Therefore, the proposed framework contributes to constructing a robust decision-support tool in the face of varying environment. An example is solved to illustrate the potential of the proposed framework with remarks on potential wide applications.

Enhancing Business Process Efficiency using TOC (TOC를 이용한 업무프로세스 효율성 향상)

  • Bae Hye-Rim;Rhee Seung-Hyun;Cha Nam-Wook
    • The Journal of Information Systems
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    • v.15 no.1
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    • pp.169-189
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    • 2006
  • Recently, many companies are trying to survive in a competitive business environment and they employ various kinds of information systems. Business Process Management (BPM) system is a software system that integrated enterprise information systems based on processes, which is considered an essential element for managing inner and outer processes. Though the BPM system has been applied to major processes only so far, companies begin to extends target processes applied into enterprise wide. In such settings, not only exact but also efficient management of processes is required. The efficiency of BPM has two perspectives: one is the performance of users that handle assigned tasks, and the other is the performance of the Business Process (BP) engine that carries out execution of processes. In this paper, in order to deal with the seconde perspective, we develop Drum, Buffer, and Rope (DBR) method, which have been considered innovative Theory of Constraint (TOC) method in manufacturing domain, for efficient management of processes. A new method, BP-DBR, has been developed, and we show that it is effective for business processes. The effectiveness of the method has been proved in terms of efficiency measures such as average process completion time and average number of completed processes, through a series of simulations on real banking processes.

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A Design and Implementation of Multimedia Contents Delivery System Using the ZigBee (ZigBee를 활용한 멀티미디어 Contents Delivery 시스템 설계 및 구현*)

  • Kim, Min-Sung;Chung, Yeong-Jee
    • Journal of Information Technology Services
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    • v.9 no.2
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    • pp.151-161
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    • 2010
  • Recently, as the era of ubiquitous has arrived, an infrastructure for the short-distance wireless communication has been extended socially, and thus a variety of services are being proposed. The Multimedia Contents Delivery System using the ZigBee, in particular, has an important stance in enlargement of a variety of services in the aspect of individual-oriented service support though Wireless Personal Area Network (WPAN). Nonetheless, the ZigBee, or the IEEE 802.15.4 Standard, has many restrictions on the Multimedia Contents Delivery System due to the low data transport rate. In order to improve the ZigBee which presents a limit on the transport rate at the IEEE 802.15.4 Standard, this thesis has designed the burst mode which is a method of transmitting a certain amount of data in block units at a high speed without any stoppage until the completion of the transmission. Also, to provide a Multimedia Contents Delivery Service with an application of the normal data transmission mode, it improved the transmission performance of the ZigBee. In addition, for the Multimedia Contents Delivery Service under the ubiquitous environment, it designed and implemented a broadcasting Multimedia Contents Delivery System based on the ZigBee to conduct a comparative analysis on the data transmission performance according to the transmission method.

Effective Management Methods of the 7 Physical Education Curriculum (제7차 체육과 교육과정의 효과적 운영 방안)

  • Kim, Young-Sik;Lee, Yeon-Sook
    • The Journal of Korean Society for School & Community Health Education
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    • v.4
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    • pp.157-169
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    • 2003
  • This research was intended to have a grasp of the problems in physical education curriculum, After making an alternative plans of effective management. those were integrated and analyzed their own relations on the purpose of suggesting alternative plans to foster professionality of physical education teacher in order to improve real class of physical education. For this purpose, I referred to sundry records related with instruction of physical education teacher and also conducted a survey with 10 interviews such as researchers of central government education administration, and school commissioners in the ministry's provincial offices of education, professors in the university of pre-teacher training, and teachers involved in physical education. The conclusions were as follows; Physical education curriculum should be organized to reduce and diversify of the sport contents in various levels. Also, it should instruct students based on physical educational knowledge, and it is made up to know the achievement of goals through evaluation tools and development of rules having propriety and reliability. Such a physical educational curriculum developed from real class should inform continuously throughout the Ministry of Education & Human Resources Development and educational organization of physical education teachers and network of the school and mass media. So, it makes most people's recognition raise up, and we need discretionary authority of physical education teacher about time allocation of 45 minutes or 50 minutes for variety of lessons. And we need systematic installation such as reorganization of completion field in level of school.

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Study of Integrated Production-Distribution Planning Using Simulation and Genetic Algorithm in Supply Chain Network (공급사슬네트워크에서 시뮬레이션과 유전알고리즘을 이용한 통합생산분배계획에 대한 연구)

  • Lim, Seok-Jin
    • Journal of the Korea Safety Management & Science
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    • v.22 no.4
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    • pp.65-74
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    • 2020
  • Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

Performance Evaluation of Microservers to drive for Cloud Computing Applications (클라우드 컴퓨팅 응용 구동을 위한 마이크로서버 성능평가)

  • Myeong-Hoon Oh
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.85-91
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    • 2023
  • In order to utilize KOSMOS, the performance evaluation results are presented in this paper with CloudSuite, an application service-based benchmark program in the cloud computing area. CloudSuite offers several distinct applications as cloud services in two parts: offline applications and online applications on containers. In comparison with other microservers which have similar hardware specifications of KOSMOS, it was observed that KOSMOS was superior in all CloudSuite benchmark applications. KOSMOS also showed higher performance than Intel Xeon CPU-based servers in an offline application. KOSMOS reduced completion time during executing Graph Analytics by 30.3% and 72.3% compared to two Intel Xeon CPU-based servers in an experimental configuration of multiple nodes in KOSMOS.

Resource-constrained Scheduling at Different Project Sizes

  • Lazari, Vasiliki;Chassiakos, Athanasios;Karatzas, Stylianos
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.196-203
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    • 2022
  • The resource constrained scheduling problem (RCSP) constitutes one of the most challenging problems in Project Management, as it combines multiple parameters, contradicting objectives (project completion within certain deadlines, resource allocation within resource availability margins and with reduced fluctuations), strict constraints (precedence constraints between activities), while its complexity grows with the increase in the number of activities being executed. Due to the large solution space size, this work investigates the application of Genetic Algorithms to approximate the optimal resource alolocation and obtain optimal trade-offs between different project goals. This analysis uses the cost of exceeding the daily resource availability, the cost from the day-by-day resource movement in and out of the site and the cost for using resources day-by-day, to form the objective cost function. The model is applied in different case studies: 1 project consisting of 10 activities, 4 repetitive projects consisting of 40 activities in total and 16 repetitive projects consisting of 160 activities in total, in order to evaluate the effectiveness of the algorithm in different-size solution spaces and under alternative optimization criteria by examining the quality of the solution and the required computational time. The case studies 2 & 3 have been developed by building upon the recurrence of the unit/sub-project (10 activities), meaning that the initial problem is multiplied four and sixteen times respectively. The evaluation results indicate that the proposed model can efficiently provide reliable solutions with respect to the individual goals assigned in every case study regardless of the project scale.

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Many-objective joint optimization for dependency-aware task offloading and service caching in mobile edge computing

  • Xiangyu Shi;Zhixia Zhang;Zhihua Cui;Xingjuan Cai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1238-1259
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    • 2024
  • Previous studies on joint optimization of computation offloading and service caching policies in Mobile Edge Computing (MEC) have often neglected the impact of dependency-aware subtasks, edge server resource constraints, and multiple users on policy formulation. To remedy this deficiency, this paper proposes a many-objective joint optimization dependency-aware task offloading and service caching model (MaJDTOSC). MaJDTOSC considers the impact of dependencies between subtasks on the joint optimization problem of task offloading and service caching in multi-user, resource-constrained MEC scenarios, and takes the task completion time, energy consumption, subtask hit rate, load variability, and storage resource utilization as optimization objectives. Meanwhile, in order to better solve MaJDTOSC, a many-objective evolutionary algorithm TSMSNSGAIII based on a three-stage mating selection strategy is proposed. Simulation results show that TSMSNSGAIII exhibits an excellent and stable performance in solving MaJDTOSC with different number of users setting and can converge faster. Therefore, it is believed that TSMSNSGAIII can provide appropriate sub-task offloading and service caching strategies in multi-user and resource-constrained MEC scenarios, which can greatly improve the system offloading efficiency and enhance the user experience.

A Study on the Effects of PMV Thermal Environment and Illumination on Visual Performance (PMV 온열 환경과 조도가 시작업 성능에 미치는 영향에 대한 연구)

  • Kim, Hyung-Sun;Kim, Hyoung-Tae;Kim, Hyoung-Sik;Kuwak, Won-Tack;Kim, Jin Ho
    • Science of Emotion and Sensibility
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    • v.17 no.2
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    • pp.55-62
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    • 2014
  • In this study, a questionnaire was developed to assess error search and correction tasks, and an analysis was performed on the accuracy of the tasks and the time required for their completion in order to identify the effects of LED light source illumination on visual performance according to changes in a predicted mean vote(PMV) thermal environment. In addition, a subjective evaluation was performed by conducting a survey on the level of visual fatigue experienced during the tasks. In the experiment, four types of PMV thermal environments were established according to PMV values in the temperature range of $(17{\pm}1-29{\pm}1)^{\circ}C$ and the humidity range of $(50{\pm}5-60{\pm}5)%$, and the LED light source illumination was divided into three types: 400lx, 700lx, and 1000lx. The experimental results confirmed that the accuracy of the error search(LED p value=0.058, PMV*LED p value=0.083) and correction tasks and the time required(LED p value=0.004, PMV p value=0.000) for their completion were affected by changes in both the PMV thermal environment and the LED light source illumination, whereas a significant difference in visual fatigue was observed only in the PMV thermal environment(p value=0.003).