Scheduling Technique for Customised Parts with Modular Fixtures in On-Demand Fixture Manufacturing Cells

2018 ◽  
Author(s):  
Enrico Naidoo ◽  
Jared Padayachee ◽  
Glen Bright
Keyword(s):  
Manufacturing Cells ◽  
On Demand ◽  
Modular Fixtures ◽  
Scheduling Technique

scholarly journals ISSUES REGARDING MANAGEMENT OF MACHINING TOOLS, PARTS AND SUB-ASSEMBLIES IN FLEXIBLE MANUFACTURING CELLS

1970 ◽  
Vol 5 (1.) ◽  
Author(s):  
Florin Avram ◽  
Flaviu Birouaș ◽  
Arnold Nilgesz ◽  
Vlad Ovidiu Mihalca
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Cost Effective ◽  
Cell System ◽  
Vital Role ◽  
Manufacturing Cells ◽  
Environment Management ◽  
Manufacturing Cell ◽  
Flexible Manufacturing Cells ◽  
On Demand

This paper will be presenting the issues regarding management of machining tools, parts and sub-assemblies in the industrial environment present in flexible manufacturing cells, flexible manufacturing systems or flexible manufacturing multi-systems. In modern the factory environment, management plays vital role in assuring a quality on demand, cost effective and timely production planning. Without proper management performance is not guaranteed or controlled in a manufacturing cell system.

An efficient resource prediction–based scheduling technique for scientific applications in cloud environment

2019 ◽  
Vol 27 (2) ◽  
pp. 112-125 ◽  
Author(s):  
Gurleen Kaur ◽  
Anju Bala
Keyword(s):  
Virtual Machines ◽  
Cloud Environment ◽  
Scientific Applications ◽  
Time Error ◽  
Scientific Application ◽  
On Demand ◽  
Prediction Technique ◽  
Efficient Resource ◽  
Scheduling Technique ◽  
Resource Prediction

Cloud computing makes scientists to run complex scientific applications. The research community is able to access on-demand compute resources within a short span of time instead of experiencing peak demand bottlenecks. As the demand for cloud resources is dynamic and volatile in nature, this in turn affects the availability of resources during scheduling. In order to allocate sufficient resources for scientific applications with different execution requirements, it is necessary to predict the appropriate set of resources. To attain this objective, a resource prediction–based scheduling technique has been introduced which automates the resource allocation for scientific application in virtualized cloud environment. First, the proposed prediction model is trained on the dataset generated by concurrently deploying tasks of a scientific application on cloud. Then, the resources are scheduled based on the output of proposed prediction technique. The main objective of resource prediction–based scheduling technique is to efficiently handle the resources for virtual machines in order to reduce the execution time, error rate, and improve the accuracy.

Psychology 101, on demand

2008 ◽  
Author(s):  
Jamie Chamberlin
Keyword(s):  
On Demand

Haemophilia Registry of the Medical Committee of the Swiss Haemophilia Society

2009 ◽  
Vol 29 (S 01) ◽  
pp. S16-S18 ◽  
Author(s):  
B. Brand ◽  
N. von der Weid
Keyword(s):  
Quality Control ◽  
Infectious Diseases ◽  
Mutation Analysis ◽  
Clinical Data ◽  
Age Groups ◽  
Treatment Modalities ◽  
Global Survey ◽  
On Demand ◽  
Per Capita ◽  
Severity Of The Disease

SummaryThe Swiss Haemophilia Registry of the Medical Committee of the Swiss Haemophilia Society was established in 2000. Primarily it bears epidemiological and basic clinical data (incidence, type and severity of the disease, age groups, centres, mortality). Two thirds of the questions of the WFH Global Survey can be answered, especially those concerning use of concentrates (global, per capita) and treatment modalities (on-demand versus prophylactic regimens). Moreover, the registry is an important tool for quality control of the haemophilia treatment centres.There are no informations about infectious diseases like hepatitis or HIV, due to non-anonymisation of the data. We plan to incorporate the results of the mutation analysis in the future.

On-Line Calculation of Pulmonary Mechanics by Digital Computer

1978 ◽  
Vol 17 (04) ◽  
pp. 261-272 ◽  
Author(s):  
Y. Brault ◽  
G. Atlan ◽  
H. Lorino ◽  
A. Harf ◽  
A.-M. Lorino ◽  
...  
Keyword(s):  
Time Pressure ◽  
Lung Compliance ◽  
Pulmonary Mechanics ◽  
Close Correspondence ◽  
Standard Equipment ◽  
On Demand ◽  
On Line ◽  
The Subject ◽  
Ventilatory Mechanics ◽  
Computerized System

A system was built up around a minicomputer to process in real time pressure and flow signals collected during the course of three ventilatory mechanics tests: the calculation of the lung volume, the evaluation of the static lung compliance, the analysis of the forced expiratory performance. The subject is seated in an open body Plethysmograph, which allows for the instantaneous calculation of changes in the volume of his thorax and abdomen. The system is controlled through a graphics console which displays the sampled curves and the results of data processing. In addition, the signals can be stored on demand onto a magnetic tape so that the method can be tested and improved off line. The results obtained in healthy volunteers are highly reproducible. A close correspondence is found both in patients and volunteers between computer-derived and hand-calculated results. The computerized system has become a standard equipment of our Lung Function Department, where it allows for a rapid quantitative analysis of lung volumes, lung elasticity and bronchial airflow.

Sign in / Sign up

Export Citation Format

Share Document