• 제목/요약/키워드: Performance approach goal

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A Delphi Approach to the Development of an Integrated Performance Measurement and Management Model for a Car Assembler

  • Shawyun, Teay
    • Industrial Engineering and Management Systems
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    • 제7권3호
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    • pp.214-227
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    • 2008
  • Today's dynamic competitiveness requires an organization to improve its performance measurement and management. Quality Management Systems (QMS) abound, the main ones being: ISO series, Malcolm Baldridge National Quality Award (MBNQA), European Forum for Quality Management (EFQM), Six Sigma Business Scorecard and the Balanced Scorecard. Based on the literature, the IPMMM (Integrated Performance Measurement and Management Model) identified 7 key synthesized factors: leadership, strategy management and policy, customer and market, learning and growth, partnership and resources, internal processes and business results that are employed to investigate the key performance indicators of a car assembler using the Delphi methodology. In the 2 rounds of Delphi panels consisting of 20 senior management personnel, the $1^{st}$ round of 198 indicators in the IPMMM yielded 90 indicators. The $2^{nd}$ round yielded 43 performance indicators with 18 rated as critical based on the % assigned in the $1^{st}$ and $2^{nd}$ priority rating of "very important factor" and "key performance indicator" that must be ranked high on both of the priorities. The very critical indicators appeared to be: defect percentage and first time capability (tie in $1^{st}$ place) and revenue, goal setting, customer satisfaction index, on-time delivery, brand image, return on investment, Claim Occurrence Ratio, and debt being ranked from $3^{rd}$ to $10^{th}$. It can be surmised that an organization can identify and develop an appropriate set of performance indicators through the Delphi methodology and implement and manage them based on the Balanced Scorecard.

최적 경유점을 갖는 전역 DWA에 기반한 이동로봇의 주행 (Mobile Robot Navigation based on Global DWA with Optimal Waypoints)

  • 함종규;박중태;송재복
    • 제어로봇시스템학회논문지
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    • 제13권7호
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    • pp.624-630
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    • 2007
  • The dynamic window approach(DWA) is a well known technique for reactive collision avoidance. It shows safe and efficient performance in real-world experiments. However, a robot can get stuck in local minima because no information about the connectivity of the free space is used to determine the motion. The global DWA can solve this problem of local minima by adding a navigation function. Even with the global DWA, it is still difficult for a robot to execute an abrupt change in its direction, for example, entering from the corridor to a doorway. This paper proposes a modified global DWA using the included angles of waypoints extracted from an optimal path. This scheme enables the robot to decelerate in advance before turning into the doorway. Therefore the robot can reach the goal position more safely and efficiently at high speeds.

A control allocation sterategy based on multi-parametric quadratic programming algorithm

  • Jeong, Tae-Yeong;Ji, Sang-Won;Kim, Young-Bok
    • 수산해양기술연구
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    • 제49권2호
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    • pp.153-160
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    • 2013
  • Control allocation is an important part of a system. It implements the function that map the desired command forces from the controller into the commands of the different actuators. In this paper, the authors present an approach for solving constrained control allocation problem in vessel system by using multi-parametric quadratic programming (mp-QP) algorithm. The goal of mp-QP algorithm applied in this study is to compute a solution to minimize a quadratic performance index subject to linear equality and inequality constraints. The solution can be pre-computed off-line in the explicit form of a piecewise linear (PWL) function of the generalized forces and constrains. The efficiency of mp-QP approach is evaluated through a dynamic positioning simulation for a vessel by using four tugboats with constraints about limited pushing forces and found to work well.

Multi-Objective Soft Computing-Based Approaches to Optimize Inventory-Queuing-Pricing Problem under Fuzzy Considerations

  • Alinezhad, Alireza;Mahmoudi, Amin;Hajipour, Vahid
    • Industrial Engineering and Management Systems
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    • 제15권4호
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    • pp.354-363
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    • 2016
  • Due to uncertain environment, various parameters such as price, queuing length, warranty, and so on influence on inventory models. In this paper, an inventory-queuing-pricing problem with continuous review inventory control policy and batch arrival queuing approach, is presented. To best of our knowledge, (I) demand function is stochastic and price dependent; (II) due to the uncertainty in real-world situations, a fuzzy programming approach is applied. Therefore, the presented model with goal of maximizing total profit of system analyzes the price and order quantity decision variables. Since the proposed model belongs to NP-hard problems, Pareto-based approaches based on non-dominated ranking and sorting genetic algorithm are proposed and justified to solve the model. Several numerical illustrations are generated to demonstrate the model validity and algorithms performance. The results showed the applicability and robustness of the proposed soft-computing-based approaches to analyze the problem.

아동의 ADHD 진단 보조를 위한 기계 학습 기반의 뇌전도 분류 (Machine Learning-Based EEG Classification for Assisting the Diagnosis of ADHD in Children)

  • 김민기
    • 한국멀티미디어학회논문지
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    • 제24권10호
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    • pp.1336-1345
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    • 2021
  • Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders in children. The diagnosis of ADHD in children is based on the interviews and observation reports of parents or teachers who have stayed with them. Since this approach cannot avoid long observation time and the bias of observers, another approach based on Electroencephalography(EEG) is emerging. The goal of this study is to develop an assistive tool for diagnosing ADHD by EEG classification. This study explores the frequency bands of EEG and extracts the implied features in them by using the proposed CNN. The CNN architecture has three Convolution-MaxPooling blocks and two fully connected layers. As a result of the experiment, the 30-60 Hz gamma band showed dominant characteristics in identifying EEG, and when other frequency bands were added to the gamma band, the EEG classification performance was improved. They also show that the proposed CNN is effective in detecting ADHD in children.

기업의 제품개발역량과 IT역량이 융합능력을 통해 신제품 개발 성과에 미치는 영향 (Influence of Product Development Competence and IT Competence on NPD Performance through Convergence Capabilities)

  • 최상민;문태수
    • 한국정보시스템학회지:정보시스템연구
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    • 제29권3호
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    • pp.197-214
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    • 2020
  • Purpose This study examines the influence of product development competence and IT competence on new product development (NPD) performance in the context of Korean companies. To achieve this goal, this study presents and empirically tests a model of how NPD competence and IT competence can be exploited to positively influence NPD performance through convergence capabilities. Design/methodology/approach The NPD competence are based on the research construct developed by Zhang et al. (2013). IT competence is based on the research construct developed by Lu and Ramamurthy(2011) and the NPD performance are based on the performance construct developed by Sivadas and Dwyer (2000). To complete the investigation, we conducted a survey from Korean 1000 big companies, which enrolled in Korean stock market. Randomly contacted 171 Korean companies, including firms of all sizes and types. To test our hypotheses, structured equation model (SEM) with partial least squares (PLS) method was employed. Findings The findings indicate that NPD competence and IT competence are antecedent to convergence capabilities, while IT competence is higher influence than NPD competence. Also, convergence capabilities has very significant relationship with NPD performance. This study provides a better understanding of the relationship between NPD competence, IT competence, convergence capabilities, and NPD performance. So companies should focus on improving NPD and IT competence on NPD performance through convergence capabilities.

Influence of Competitor and Customer Orientation on Marketing Performance through IT Competence in Chinese SMEs

  • 우가인;문태수
    • 한국정보시스템학회지:정보시스템연구
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    • 제28권4호
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    • pp.131-153
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    • 2019
  • Purpose This study examines the roles of firm-level IT competence in the relationship between marketing orientation and marketing performance in the context of Chinese SMEs. To achieve this goal, this study presents and empirically tests a model of how competitor orientation and customer orientation can be exploited to positively influence marketing performance through IT competence. Design/methodology/approach The competitor orientation and customer orientation are based on the market orientation construct developed by Trainor et al. (2011). IT competence re based on the market orientation construct developed by Reitz et al. 2018) and the marketing performance are based on the performance construct developed by Hooley et al., (2005). To complete the investigation, we conducted a survey in China from February 2019 to April 2019. Randomly contacted 150 Chinese SMEs, including SMEs of all sizes and types. To test our hypotheses, partial least squares (PLS) method was employed. Findings The findings indicate that customer orientation is antecedent to IT competence, while competitor orientation has no significant relationship with IT competence. This study provides a better understanding of the connection between IT competence and firm performance. So companies should focus on shaping customer-oriented culture and training IT competence.

Post-earthquake fast building safety assessment using smartphone-based interstory drifts measurement

  • Hsu, Ting Y.;Liu, Cheng Y.;Hsieh, Yo M.;Weng, Chi T.
    • Smart Structures and Systems
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    • 제29권2호
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    • pp.287-299
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    • 2022
  • Rather than using smartphones as seismometers with designated locations and orientations, this study proposes to employ crowds' smartphones in buildings to perform fast safety assessment of buildings. The principal advantage of using crowds' smartphones is the potential to monitor the safety of millions of buildings without hardware costs, installation labor, and long-term maintenance. This study's goal is to measure the maximum interstory drift ratios during earthquake excitation using crowds' smartphones. Beacons inside the building are required to provide the location and relevant building information for the smartphones via Bluetooth. Wi-Fi Direct is employed between nearby smartphones to conduct peer-to-peer time synchronization and exchange the acceleration data measured. An algorithm to align the orientation between nearby smartphones is proposed, and the performance of the orientation alignment, interstory drift measurement, and damage level estimation are studied numerically. Finally, the proposed approach's performance is verified using large-scale shaking table tests of a scaled steel building. The results presented in this study illustrate the potential to use crowds' smartphones with the proposed approach to record building motions during earthquakes and use those data to estimate buildings' safety based on the interstory drift ratios measured.

An adaptive MAC protocol exploiting multiple paths in wireless mesh networks

  • Lee, Hyung-Keun;Yi, Joon-Hwan
    • 전기전자학회논문지
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    • 제13권1호
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    • pp.94-100
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    • 2009
  • In recent years, the wireless mesh network (WMN) has been an emerging technology to provide Internet access to fixed and mobile wireless devices. The main goal of this paper is the design and simulation of a new MAC protocol based on the multi-path routing information for wireless mesh networks. The information about multiple paths discovered in the network layer is exploited by the MAC layer in order to forward a frame over the best hop out of multiple hop choices. The performance of our approach is compared with conventional 802.11 MAC through the simulation. The results show that our scheme exhibits a significantly better performance rather than conventional 802.11 MAC protocol in terms of packet overhead, end-to-end throughput and delay.

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유전 알고리즘을 이용한 퍼지 제어기의 자동설계 (Automatic design of fuzzy controller using genetic algorithms)

  • 김대진;홍정철
    • 전자공학회논문지B
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    • 제33B권5호
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    • pp.138-151
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    • 1996
  • This paper proposes a genetic fuzzy controller ensemble (FCE) for improving the control performance of of fuzzy controller in the non-linear and complex problems. The design procedure of each fuzzy controller in the FCF consists of the following two stages, each of which is performed by different genetic algorithms. The first stage generates a fuzzy rule base that covers the training examples as many as possible. The second stage builds fine-tuned membership funcitons that make the control error as small as possible. These two stages are repeated independently upon the different partition patterns of input-output variables. The control performance of the proposed method is compared with that of wang and mendel's approach[1] in terms of either the percentage of successful controls reaching to the goal or the average traveling distance.

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