• Title/Summary/Keyword: Time-Cost Optimization

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A Study on Improving Formability of Stamping Processes with Segmented Blank Holders using Artificial Neural Network and Genetic Algorithm (인공신경망과 유전 알고리즘을 이용한 분할 블랭크 홀더 스탬핑 공정의 성형성 향상에 관한 연구)

  • G. P. Kim;S. D., Goo;M. S. Kim;G. M. Han;S. W. Jun;J. S. Lee;J. H. Kim
    • Transactions of Materials Processing
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    • v.32 no.5
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    • pp.276-286
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    • 2023
  • The field of sheet metal forming using press technology has become essential in modern mass production systems. Draw bead is often used to enhance formability. However, optimal draw bead design often requires excessive time and cost due to iterative experimentation and sometimes results in some defects. Given these challenges, there is a need to enhance formability by introducing segmented blank holders without draw beads. In this paper, the feasibility of a localized holding strategy using segmented blank holders is evaluated without the use of draw beads. The possibility for improving the formability was evaluated by utilizing a combination of the forming limit diagram and the wrinkle pattern-based defect indicators. Artificial neural networks were used for predicting defect indicators corresponding to arbitrary input holding forces and the NSGA-II optimization algorithm is used to find optimum blank holder forces yielding better defect indicators than the original process with drawbeads. Using optimum holding forces obtained from the proposed procedure, the stamping process with the segmented blank holders can yield better formability than the conventional process with drawbeads.

A Survey on the Mobile Crowdsensing System life cycle: Task Allocation, Data Collection, and Data Aggregation

  • Xia Zhuoyue;Azween Abdullah;S.H. Kok
    • International Journal of Computer Science & Network Security
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    • v.23 no.3
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    • pp.31-48
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    • 2023
  • The popularization of smart devices and subsequent optimization of their sensing capacity has resulted in a novel mobile crowdsensing (MCS) pattern, which employs smart devices as sensing nodes by recruiting users to develop a sensing network for multiple-task performance. This technique has garnered much scholarly interest in terms of sensing range, cost, and integration. The MCS is prevalent in various fields, including environmental monitoring, noise monitoring, and road monitoring. A complete MCS life cycle entails task allocation, data collection, and data aggregation. Regardless, specific drawbacks remain unresolved in this study despite extensive research on this life cycle. This article mainly summarizes single-task, multi-task allocation, and space-time multi-task allocation at the task allocation stage. Meanwhile, the quality, safety, and efficiency of data collection are discussed at the data collection stage. Edge computing, which provides a novel development idea to derive data from the MCS system, is also highlighted. Furthermore, data aggregation security and quality are summarized at the data aggregation stage. The novel development of multi-modal data aggregation is also outlined following the diversity of data obtained from MCS. Overall, this article summarizes the three aspects of the MCS life cycle, analyzes the issues underlying this study, and offers developmental directions for future scholars' reference.

On the optimum design of reinforcement systems for old masonry railway tunnels

  • Ghyasvand, Soheil;Fahimifar, Ahamd;Nejad, Fereidoon Moghadas
    • Geomechanics and Engineering
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    • v.28 no.2
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    • pp.145-155
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    • 2022
  • Safety is a most important parameters in underground railway transportation; Also stability of underground tunnel is very important in tunneling engineering. Design of a reliable support system requires an evaluation of both ground demand and support capacity. Iran's traditional railway tunnels are mainly supported with masonry structures or unsupported in high quality rock masses. A decrease in rock mass quality due to changes in groundwater regime creep and fatigue in rock and similar phenomena causes tunnel safety to decrease during time. The case study is an old tunnel in Iran, called "Keshvar"; it is more than 50 years old railway organization. In operating this Tunnel, until the several problems came up based on stability and leaking water. The goal of study is evaluation of the various reinforcement systems for supporting of the tunnel. The optimal selection of the reinforcement system is examined using TOPSIS Fuzzy method in light of the looming and available uncertainties. Several factors such as; the tunnel span, maintenance, drainage, sealing, ventilation, cost and safety were based to choose the method and system of designing. Therefore, by identifying these parameters, an optimal reinforcement system was selected and introduced. Based on optimization system for analysis, it is revealed that the systematic rock bolts and shotcrete protection had a most appropriate result for these kind of tunnel in Iran.

The Study of Collaborative Work-Flow System Architecture for Optimization of Product Development in Enterprise (기업의 제품 개발업무 최적화를 위한 Collaborative Work-Flow System Architecture 연구)

  • Lee, Jae-Cheol;Bang, Heon;Ahn, Dae-Jung;Kim, Tae-Yun;Lee, Seung-Ho;Ryu, Yeong-Seon;Song, Byeong-Jae;Choi, Yeong-Jun;Ahn, Gye-Ho;Chang, Jeong-Ryeol;Cho, Sang-seok;Ryu Byeon-Gil;Hwang, Chang-Gyu
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.25-28
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    • 2001
  • Today enterprises are bringing forward the strong needs for the Global Work Space that is able to realize the collaboration of the virtual enterprise in order to achieve the rapid entrance to market, the quality improvement as well as the cost reduction of their new products. Especially, they are building the efficient Product Management Infrastructure in parallel with the real-time knowledge management for the information generated in the course of a product lifecycle and the Process Innovation making the Concurrent Engineering possible. Building a system in the web environment cannot be the entire effort to realize the Global Work Space within an enterprise that is an essential factor for the reduction of a product development period which in turn contributes to Time to Market. Various work models and processes are found in enterprises and many different application programs are developed and utilized to support these. This study proposes a scheme for the optimized Collaborative Workflow System Architecture that is able to take in and apply various application programs accompanied by the product development work process. Through this, we are to examine various limits and problems existing in the real-time collaborative system between enterprises and to reform these.

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Optimal Berth and Crane Scheduling Using Constraint Satisfaction Search and Heuristic Repair (제약만족 탐색과 휴리스틱 교정기법을 이용한 최적 선석 및 크레인 일정계획)

  • 류광렬;김갑환;백영수;황준하;박영만
    • Journal of Intelligence and Information Systems
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    • v.6 no.2
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    • pp.1-14
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    • 2000
  • The berth and crane scheduling problem in a container terminal encompasses the whole process of assigning berth to each ship, determining the duration of berthing, assigning container cranes to each ship, and determining the specific start and end time of each crane service, for all the ships scheduled to be arriving at the terminal during a certain scheduling horizon. This problem is basically a constraint satisfaction problem in which cranes and berths should be assigned in such a way that all the spatial and temporal constraints are satisfied without any interference. However, it is also an optimization problem because the requested arrival and departure time should be met for as many of the scheduled ships as possible, while the operation cost of the terminal should be minimized. In this paper, we present an effective and efficient approach to solving this type of problem, which combines constrain satisfaction search and heuristic repair. We first employ a constraint satisfaction search to find a feasib1e solution. Then, the feasible solution is modified to a more optimal one by iteratively applying our heuristic repair operations within the framework of constraint satisfaction search. Experimental results with a real data from Pusan East Container Terminal showed that our approach can derive a schedule of satisfactory quality in a very short time.

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Delay Optimization Algorithm for the High Speed Operation of FPGAs (FPGA를 고속으로 동작시키기 위한 지연시간 최적화 알고리듬)

  • Choi, Ick-Sung;Lee, Jeong-Hee;Lee, Bhum-Cheol;Kim, Nam-U
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.37 no.7
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    • pp.50-57
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    • 2000
  • We propose a logic synthesis algorithm for the design of FPGAs operating at high speed. FPGA is a novel technology that provides programmability in the field. Because of short turnaround time and low manufacturing cost, FPGA has been noticed as an ideal device for system prototyping. Despite these merits, FPGA has drawbacks, namely low integration and long delay time comparing to ASIC. The proposed algorithm partitions a given circuit into subcircuits utilizing a kernel divisor such that the subcircuits can be performed at the same time, hence reducing the delay of the circuit. Experimental results on the MCNC benchmark show that the proposed algorithm is effective by generating circuits having 19.1% les delay on average, when compared to the FlowMap algorithm.

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Study on Analysis of RTM Process to Manufacture Bogie Frame Skin Depending on Thickness (대차 프레임 스킨의 두께에 따른 RTM 공정 특성 분석 연구)

  • Kim, Moosun;Kim, Jung-Seok;Kim, Seung Mo
    • Composites Research
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    • v.28 no.6
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    • pp.372-377
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    • 2015
  • In this study, we analyzed process numerically when a bogie frame skin is manufactured by applying resin transfer molding process using composite material instead of steel. Processing time was compared based on the various thickness of bogie frame skin and the weight variation of a skin was also considered. As a result, RTM processing time decreases and the weight of a bogie reduces as the thickness of frame skin increases with the assumption that fiber volume is constant inside the skin. By considering these results as the information to estimate the production cost, trade-off between two fields, processing time and structural properties, can be performed in design optimization to produce bogie frame.

An Efficient Wrapper Design for SOC Testing (SOC 테스트를 위한 Wrapper 설계 기법)

  • Choi, Sun-Hwa;Kim, Moon-Joon;Chang, Hoon
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.41 no.3
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    • pp.65-70
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    • 2004
  • The SOC(System on Chip) testing has required the core re-use methodology and the efficiency of test method because of increase of its cost. The goal of SOC testing is to minimize the testing time, area overhead, and power consumption during testing. Prior research has concentrated on only one aspect of the test core wrapper design problem at a test time. Our research is concentrated on optimization of test time and area overhead for the core test wrapper, which is one of the important elements for SOC test architecture. In this paper, we propose an efficient wrapper design algorithm that improves on earlier approaches by also reducing the TAM(Test Access Mechanism) width required to achieve these lower testing times.

An Optimization Strategy of Task Allocation using Coordination Agent (조정 에이전트를 이용한 작업 할당 최적화 기법)

  • Park, Jae-Hyun;Um, Ky-Hyun;Cho, Kyung-Eun
    • Journal of Korea Game Society
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    • v.7 no.4
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    • pp.93-104
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    • 2007
  • In the complex real-time multi-agent system such as game environment, dynamic task allocations are repeatedly performed to achieve a goal in terms of system efficiency. In this research, we present a task allocation scheme suitable for the real-time multi-agent environment. The scheme is to optimize the task allocation by complementing existing coordination agent with $A^*$ algorithm. The coordination agent creates a status graph that consists of nodes which represent the combinations of tasks and agents, and refines the graph to remove nodes of non-execution tasks and agents. The coordination agent performs the selective utilization of the $A^*$ algorithm method and the greedy method for real-time re-allocation. Then it finds some paths of the minimum cost as optimized results by using $A^*$ algorithm. Our experiments show that the coordination agent with $A^*$ algorithm improves a task allocation efficiency about 25% highly than the coordination agent only with greedy algorithm.

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A Study on Development of 3-D Simulator for H-Beam Robot Cutting and Optimization of Cutting Using the Simulator (H-beam 로봇 절단용 3차원 시뮬레이터의 개발과 이를 이용한 절단 최적화에 관한 연구)

  • Park, Ju-Yong;Kim, Yong-Uk
    • Journal of Welding and Joining
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    • v.30 no.4
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    • pp.44-48
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    • 2012
  • H-beam used for stiffening the upper structure of ocean plant is cut in the various shapes. The cutting process of the H-beam is done manually and requires a long time and high cost. Therefore, automation of H-beam cutting is an important task. This research aims to develop a 3-D simulator to build the automatic H-beam cutting system and to determine the optimal cutting method. The automatic H-beam cutting system composes of 6 robots including 2 cutting robots hang to a crane and 1 conveyer. The appropriate system layout for covering the various sizes and types of H-beam was tested and determined using the simulator. The H-beam cutting system uses a hybrid type of plasma and gas cutting because of special cutting shapes of H-beam. The cutting area of each cutting method should be properly divided according to the size and shape of H-beam to shorten the total cutting time. Additionally the collision between a robot and a robot or a robot and H-beam should be avoided. The optimal cutting method for the shortest cutting time without the collision could be found for the various cutting conditions by use of the simulator. 2 simulation samples shows the availability of the simulator to find the optimal cutting method.