Performance evaluation of small-batch container delivery systems used in lean manufacturing – Part 1: system stability and distribution of container starts

2013 ◽  
Vol 51 (2) ◽  
pp. 555-567 ◽  
Author(s):  
Yavuz A. Bozer ◽  
David D. Ciemnoczolowski
Keyword(s):  
Performance Evaluation ◽  
Lean Manufacturing ◽  
Delivery Systems ◽  
System Stability

scholarly journals Popularity Prediction of Videos in IPTV Systems

2015 ◽  
Vol 1 (3) ◽  
pp. 385
Author(s):  
Reyhaneh Ghavami ◽  
Alireza Abdollahpouri ◽  
Zhila Bahrami ◽  
Parham Moradi
Keyword(s):  
Neural Network ◽  
Performance Evaluation ◽  
Service Providers ◽  
Video On Demand ◽  
Content Delivery ◽  
Delivery Systems ◽  
On Demand ◽  
Simulation Based ◽  
Popularity Prediction

Video on demand (VoD) service in IPTV is a bandwidth-hungry application. It has been argued that the distribution of popularity of videos can be well measured using a Zipf-like distribution in which top 10% of the videos account for nearly 90% of requests. In this article, we propose a neural network based method to predict the popularity of videos in an IPTV system. The popularity prediction can be used by service providers for video placement in content delivery systems or hierarchical servers and hence it can lead to bandwidth save. Simulation-based performance evaluation of our proposed method confirms a significant accuracy in the prediction of the popularity of the videos.

scholarly journals Performance Evaluation of Pole Placement and Linear Quadratic Regulator Strategies Designed for Mass-Spring-Damper System Based on Simulated Annealing and Ant Colony Optimization

2021 ◽  
Vol 27 (11) ◽  
pp. 15-31
Author(s):  
Huthaifa Al-Khazraji ◽  
Luay T. Rasheed
Keyword(s):  
Performance Evaluation ◽  
Simulated Annealing ◽  
State Feedback ◽  
Linear Quadratic Regulator ◽  
The State ◽  
Ant Colony ◽  
System Stability ◽  
Pole Placement ◽  
Linear Quadratic ◽  
Mass Spring

This paper investigates the performance evaluation of two state feedback controllers, Pole Placement (PP) and Linear Quadratic Regulator (LQR). The two controllers are designed for a Mass-Spring-Damper (MSD) system found in numerous applications to stabilize the MSD system performance and minimize the position tracking error of the system output. The state space model of the MSD system is first developed. Then, two meta-heuristic optimizations, Simulated Annealing (SA) optimization and Ant Colony (AC) optimization are utilized to optimize feedback gains matrix K of the PP and the weighting matrices Q and R of the LQR to make the MSD system reach stabilization and reduce the oscillation of the response. The Matlab software has been used for simulations and performance analysis. The results show the superiority of the state feedback based on the LQR controller in improving the system stability, reducing settling time, and reducing maximum overshoot. Furthermore, AC optimization shows significant advantages for optimizing the parameters of PP and LQR and reducing the fitness value in comparison with SA optimization

Modeling and performance evaluation of agility coupled with sustainability for business planning

2017 ◽  
Vol 36 (1) ◽  
pp. 109-128 ◽  
Author(s):  
Adarsh Kumar Singh ◽  
Sekar Vinodh
Keyword(s):  
Performance Evaluation ◽  
Lean Manufacturing ◽  
Ad Hoc ◽  
Holistic Approach ◽  
Contributing Factors ◽  
Environmental Aspect ◽  
Content Type ◽  
Wide Range ◽  
And Performance ◽  
Manufacturing Organization

Purpose Agility and sustainability are different manufacturing paradigms. Ideally, companies should merge the two concepts so as to enhance competitive advantage. Agility, which has evolved from lean manufacturing, is the ability of an enterprise to respond quickly to a wide range of customer demands. On the other hand sustainability is a condition in which a company optimizes economic, social and environmental factors by taking into account indirect and long-term consequences. Merging the two concepts could result in holistically improving the system, by fulfilling performance without depleting available resources. Thus, identifying and simultaneously improving two areas with common goals could lead to developing a successful and an emerging enterprise. The paper aims to discuss these issues. Design/methodology/approach The authors identify agility-sustainability criteria which complement each other from amongst a set of differentiating criteria. The conceptual model is built by integrating five enablers with 25 criteria and 75 attributes. The combined criteria are modeled using graph theory which considers interdependencies and contributing factors on the organization. Within each enabler, the authors investigate the interdependencies between criteria and focus further on those that have potential to improve overall score. The methodology was applied in a manufacturing organization that operates on ad hoc basis depending on projects’ availability. Findings The model determines a range of values for extreme scenarios under theoretical and practical situations, along with the current level of business. The scenarios are tested for assessing performance by identifying the gaps in the weaker areas. Research limitations/implications Approach can serve as a managerial tool for monitoring performance of the organization along agility and sustainability dimensions. Further, government entities can use the approach in devising policy for improving economies by considering holistic approach rather than only environmental aspect. Biased and conflicting opinions of experts might deter chances for comprehensive and consistent decision. Originality/value The study integrates a framework for modeling and performance evaluation for a system that incorporates agility and sustainability characteristics. The study will enable practicing managers and decision makers to identify suitable characteristics that would simultaneously improve an organization’s agile performance by considering aspects of sustainability.

scholarly journals Impact Assessment on the Economic and Financial Indicators of the Implementation of Lean Management Model

2020 ◽  
Vol 12 (4) ◽  
pp. 49-69
Author(s):  
Fernando Acabado Romana
Keyword(s):  
Performance Evaluation ◽  
Leadership Style ◽  
Lean Manufacturing ◽  
Evaluation Method ◽  
Value Added ◽  
Financial Economic ◽  
Financial Indicators ◽  
Strategic Approach ◽  
Performance Evaluation Method ◽  
The Impact

AbstractObjective: Understand how the increased competitiveness encourages industries to seek solutions in order to maintain or increase their market share, promoting the manufacturing of quality products at reduced costs.Methodology: In this study, an in-company analysis regarding the Lean performance evaluation methods present in the literature as well as already implemented in the industry was performed, focusing on the gaps of present models and needs for future.Findings: New philosophies arise such as the Lean Manufacturing, which is based on continuous improvement, aiming at optimizing the production system, eliminating waste and using fewer resources.Value Added: Based on the results, and with the objective of allowing comprehensive assessment of Lean performance independently by the companies, and the determination of improvement actions, a Lean performance evaluation method was developed in order to understand the impact in financial and economic figures of the case study.Recommendations: Take into account the main concepts of the social sciences, such as Organizational Culture, Leadership Style and Strategic Approach, considering the link with the financial economic performance.

Performance analysis of public management teaching practice training based on artificial intelligence technology

2020 ◽  
pp. 1-14
Author(s):  
Yahong Ding
Keyword(s):  
Artificial Intelligence ◽  
Performance Evaluation ◽  
Performance Analysis ◽  
Economic Performance ◽  
System Performance ◽  
Public Management ◽  
Evaluation System ◽  
Teaching Practice ◽  
System Stability ◽  
Artificial Intelligence Technology

At present, it is difficult to quantify the performance of public management teaching practice. Inviewof this, based on artificial intelligence technology, this study imitates the economic performance evaluation method to introduce evaluation parameters, and adopts the analogy method to introduce the artificial intelligence economic performance evaluation system into the model proposed in this study. Moreover, this study combines with actual teaching needs to build a performance analysis model of public management teaching training based on artificial intelligence technology. In addition, this study uses a B/S structure to build the system, set functional modules based on demand analysis, and use an expert system to score. In order to study system performance and system stability in the context of big data, the system performance is studied through actual scoring and large amounts of data training. The research results show that the model proposed in this paper has a certain effect.

scholarly journals Performance evaluation of automated medicine delivery systems

2021 ◽  
Vol 147 ◽  
pp. 102242
Author(s):  
Wanying (Amanda) Chen ◽  
René B.M. De Koster ◽  
Yeming Gong
Keyword(s):  
Performance Evaluation ◽  
Delivery Systems

scholarly journals Development of Multi-Quadrotor Simulator Based on Real-Time Hypervisor Systems

Drones ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 59
Author(s):  
Muhammad-Faris Fathoni ◽  
Seo-Nah Lee ◽  
Yoon-Soo Kim ◽  
Ki-Il Kim ◽  
Kyong-Hoon Kim
Keyword(s):  
Performance Evaluation ◽  
Real Time ◽  
Response Times ◽  
Computation Time ◽  
System Stability ◽  
The Real ◽  
Time Extension ◽  
Time Requirements ◽  
And Performance ◽  
Quadrotor System

Today, simulator technology has been widely used as an important part of quadrotor development such as validation and testing. A good quadrotor simulator can simulate the quadrotor system as closely as possible to the real one. Therefore, in case of multi-quadrotor simulator, the simulator should not only can simulate a multi-quadrotor system, but also every quadrotor should be able to leverage their own resources. To solve this issues, in this paper, we present a hypervisor-based multi-quadrotor simulator. We used RT-Xen as hypervisor, a real-time Xen hypervisor. To ensure every quadrotor runs in real-time manner, we implemented quadrotor simulator in Litmus-RT which is a real-time extension of Linux. In this paper, we conducted some testing and performance evaluation for particular cases on our multi-quadrotor simulator: step-input responses, computation time, and response times. Based on the performance evaluation, our hypervisor-based multi-quadrotor simulator environment is proven to meet the real-time requirements. The results show that three important tasks in quadrotor system: Stability Controllability Augmented System (SCAS), Equation of Motion (EOM), and waypoint following task, are finished before their deadlines; in fact, 20 ms, 10 ms, and 40 ms before the deadlines for SCAS, EOM, and waypoint following, respectively.

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