That confounded system performance measure: A demonstration.

1959 ◽  
Vol 66 (3) ◽  
pp. 178-182 ◽  
Author(s):  
F. V. Taylor ◽  
H. P. Birmingham
Keyword(s):  
System Performance ◽  
Performance Measure ◽  
System Performance Measure

Modeling and Analysis of Multi-Product Manufacturing Systems With Two Machines and One Buffer

2019 ◽  
Author(s):  
Jing Huang ◽  
Qing Chang ◽  
Jorge Arinez
Keyword(s):  
System Performance ◽  
Manufacturing Systems ◽  
Performance Measure ◽  
Buffer System ◽  
Product System ◽  
Modeling And Analysis ◽  
Product Manufacturing ◽  
Production Orders ◽  
System Performance Measure ◽  
Flow Conservation

Abstract The ability to process multiple product types is an important criterion for evaluating the flexibility of a manufacturing system. The system dynamics of a multi-product system is quite distinct from that of a single-product system. A modeling method for the multi-product system is proposed based on dynamic systems and flow conservation. Based on the model, this paper places its emphasis on the analysis of a two-machine-one-buffer system with two product variants. The system performance measure of a multi-product system is proposed based on production orders. The system performance of two-machine-one-buffer systems is discussed in full details. The conditions for the system achieving the best performance are derived. Finally, several numerical experiments are conducted to validate the propositions on two-machine-one-buffer system.

Estimation of ISO12233 Edge Spatial Frequency Response from Natural Scene Derived Step-Edge Data

2021 ◽  
Author(s):  
Oliver van Zwanenberg ◽  
Sophie Triantaphillidou ◽  
Robin B. Jenkin ◽  
Alexandra Psarrou
Keyword(s):  
Spatial Frequency ◽  
Frequency Response ◽  
System Performance ◽  
Performance Measure ◽  
Natural Scenes ◽  
Natural Scene ◽  
Performance Measurements ◽  
Camera System ◽  
Edge Based ◽  
System Performance Measure

The Natural Scene derived Spatial Frequency Response (NS-SFR) is a novel camera system performance measure that derives SFRs directly from images of natural scenes and processes them using ISO12233 edge-based SFR (e-SFR) algorithm. NS-SFR is a function of both camera system performance and scene content. It is measured directly from captured scenes, thus eliminating the use of test charts and strict laboratory conditions. The effective system e-SFR can be subsequently estimated from NS-SFRs using statistical analysis and a diverse dataset of scenes. This paper first presents the NS-SFR measuring framework, which locates, isolates, and verifies suitable step-edges from captures of natural scenes. It then details a process for identifying the most likely NS-SFRs for deriving the camera system e-SFR. The resulting estimates are comparable to standard e-SFRs derived from test chart inputs, making the proposed method a viable alternative to the ISO technique, with potential for real-time camera system performance measurements.

scholarly journals PEMODELAN SISTEM ANTREAN PELAYANAN BUS JALUR BARAT TERMINAL TIRTONADI KOTA SURAKARTA DENGAN METODE BAYESIAN

2021 ◽  
Vol 10 (3) ◽  
pp. 466-475
Author(s):  
Nurul Khasanah ◽  
Sugito Sugito ◽  
Yuciana Wilandari
Keyword(s):  
System Performance ◽  
Prior Information ◽  
Bayesian Method ◽  
Service System ◽  
Performance Measure ◽  
The West ◽  
Queue System ◽  
Service Patterns ◽  
Bus Service ◽  
System Performance Measure

Tirtonadi is the largest bus station in Surakarta City. The departure line is devided into two lines, namely west line and east line. The west line serves buses to the west of Surakarta City. The number of buses that enter and leave the station every day causes bus queues. Modeling the queue system and analyzing the system performance measure aims to determine wether the bus service system is good or not. The queue system model is obtained by finding the distribution of arrival patterns and service patterns using the Bayesian method. This method is used because it combines the information from the current research and the prior information from the previous research. The queueing condition of the five lanes in the west line meets steady state conditions because the utility value is less than 1. The queue displant is First Come First Service (FCFS) with unlimited customers and unlimited calling sources. Based on the posterior distribution, the queue system of service bus is (GAMM/IG/1):(GD/∞/∞) for Solo-Jakarta-Bandung lane and Pedesaan lane, while for Solo-Purwokerto-Cilacap, Solo-Yogyakarta, and Solo-Semarang has the queue system (GAMM/GAMM/1):(GD/∞/∞). The queue system of service bus for each lane has good services based on the value of system performance measure. 

scholarly journals ANALISIS ANTREAN BUS NONPATAS AKAP DAN AKDP JALUR TIMUR TERMINAL TIRTONADI KOTA SURAKARTA

2018 ◽  
Vol 7 (3) ◽  
pp. 303-313
Author(s):  
Rosalina Aprilda Sitomurang ◽  
Sugito Sugito ◽  
Moch. Abdul Mukid
Keyword(s):  
Steady State ◽  
System Performance ◽  
Human Life ◽  
Performance Measure ◽  
Queuing Systems ◽  
Service Capacity ◽  
Utility Value ◽  
Queue Model ◽  
System Performance Measure ◽  
First In First Out

The queuing system is a set of customers, services and a set of rules governing the arrival of its customers and services. Queue is a waiting phenomenon that is part of everyday human life. The queue is formed if the number of subscribers to be served exceeds the available service capacity. Queue phenomenon one of them seen in the queue nonpatas buses at Terminal Tirtonadi Surakarta. Nonpatas bus lanes studied include non-purpose buses Surabaya, Karanganyar, Wonogiri, Purwodadi and Pedesaan. The queue displant used is FIFO (First In First Out). For the five nonpatas bus lanes it meets steady state conditions because it has utility value less than 1. The selected model is a model that has the following 4 types of distributions: Erlang, Weibull, Gamma and Lognormal. The queue model generated for the five tracks (ERLA/ERLA/1):(GD/∞/∞) for Surabaya nonpatas buses, (ERLA/WEIB/1):(GD/∞/∞) for Karanganyar nonpatas buses, (GAMM/WEIB/1):(GD/∞/∞) for Wonogiri nonpatas buses, (ERLA/WEIB/1):(GD/∞/∞) for Purwodadi nonpatas buses, (WEIB/LOGN/1):(GD/∞/∞) for Pedesaan nonpatas buses. Based on the value of the system performance measure indicated that the five lines are queue system is good. Keywords: Beta, Erlang, FIFO, Gamma, Steady State Conditions, Lognormal, Queue Model, Queuing Systems, System Performance Measure, Weibull

scholarly journals Games People Play: Lessons on Performance Measure Gaming from New Zealand Comment on "Gaming New Zealand’s Emergency Department Target: How and Why Did It Vary Over Time and Between Organisations?"

2020 ◽  
Author(s):  
Lisa M. Lines
Keyword(s):  
Emergency Department ◽  
New Zealand ◽  
Performance Measurement ◽  
System Performance ◽  
Wait Time ◽  
Performance Measure ◽  
Health System Performance ◽  
Ed Visits ◽  
System Performance Measure ◽  
Over Time

For decades, observers have noted that gaming of performance measurement appears to be both endemic and endlessly creative. A recent study by Tenbensel and colleagues provides a detailed look at gaming of a health system performance measure—emergency department (ED) wait times—within four hospitals in New Zealand. Combined, these four hospitals handled more than 25% of the ED visits in the country each year. Tenbensel and colleagues examine whether the New Zealand ED wait time target was set appropriately and whether we can trust any performance measure statistics that are not independently verified or audited. Their thoughtprovoking examination is relevant to anyone working in quality improvement and provides a valuable set of tools for detecting gaming in performance measurement.

A Model for a Series Processing System

1967 ◽  
Vol 9 (1) ◽  
pp. 53-59
Author(s):  
Wellington E. Smith
Keyword(s):  
System Performance ◽  
Processing System ◽  
Predictive Ability ◽  
Performance Measure ◽  
Total System ◽  
Assembly Lines ◽  
Operator Performance ◽  
Total Performance ◽  
Manufacturing Assembly ◽  
System Effectiveness

Many processing systems, such as manufacturing assembly lines, can be described as a series of discrete operations performed on discrete units being processed. To evaluate the effectiveness of operators in such systems or to determine the best way to improve their performance, it is necessary to have a performance measure that relates to total system effectiveness. Current techniques measure operator performance in terms of time and errors, but they provide little predictive ability as to the effects of these parameters. To relate time and yield measures to a single criterion of system performance, a method has been developed for evaluating operator effectiveness in a series processing system that processes discrete items in large quantities. By recognizing and dealing with the fact that rejects at the end of series process are more expensive than at the beginning of the process, statements are developed for measuring performance in terms of its actual effect on the system. Concepts and methods are presented for measuring total system performance, performance of any segment of the system, total performance of any operator, and the effects of time and accuracy on operator performance.

scholarly journals Optimality Analysis in K-Policy – Generalized Erlang Service Queueing Model

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
S. Bhuvaneeswari ◽  
B. Ramesh Kumar ◽  
R. Solaiappan ◽  
S. Murugesan
Keyword(s):  
Performance Optimization ◽  
Fuzzy Numbers ◽  
Performance Measure ◽  
Mixed Integer ◽  
Programming Approach ◽  
Chi Square ◽  
Nonlinear Programs ◽  
Service Rates ◽  
System Performance Measure ◽  
Bulk Arrival

<div><p><em>This paper, we develops a nonlinear programming approach to construct the membership function of the performance measure in bulk arrival queueing system , in that the arrival and service rates are fuzzy numbers. The basic idea is transform to a “Generalized k – phase Erlang Fuzzy queue with infinite capacity to a family of conventional Generalized k – phase Erlang  Service queue with infinite capacity by applying - cut approach, and a pair of mixed integer nonlinear programs are formulated to calculate the upper and lower bound of the system performance measure at the different possibility level of . For practice use, the defuzzification of performance measures is also provided via Robust ranking method and carried out the defuzzification performance (Optimization)  using Chi square distribution of the goodness fit and to analyze the interval of confidence optimality. A numerical example is included.</em></p></div>

scholarly journals A Hybrid Analog-Digital Parameter Optimizer for ASTRAC II

SIMULATION ◽  
1965 ◽  
Vol 4 (6) ◽  
pp. 399-411 ◽  
Author(s):  
Baker Adams Mitchell
Keyword(s):  
Random Walk ◽  
Simple Random Walk ◽  
Performance Measure ◽  
Random Perturbations ◽  
Parameter Perturbation ◽  
Step Size ◽  
Digital To Analog Converters ◽  
Different Types ◽  
Nominal Parameter ◽  
System Performance Measure

A new automatic multiparameter optimizer for iter ative differential analyzers employs sequential ran dom parameter perturbation. The nominal parameter point changes whenever the random perturbations improve the system performance measure. Binary counters operate simple digital-to-analog converters to implement parameter storage, multiplication, and step-size changes. All-digital logic yields different types of random perturbations, viz., simple random walk, random walk with reflecting or absorbing bar riers, and various types of correlation over successive perturbations.

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