Closed

PRM Forecasting and Resourcing Tool

Descriptions

To accommodate the continuing growth of the Airport and the increasing number of disabled travellers requiring assistance at the airport, an opportunity to implement a PRM forecasting tool has been identified in order to further improve the quality of the airport assistance service and support on-going efficiencies into the future.Aims— improved accuracy and consistency of long range PRM forecasting and associated resources required for budget setting,— improved accuracy of daily PRM forecasts and daily resource planning for better tactical deployment of resource,— on-going automated analysis of ‘actual’ data to identify potential efficiency gains,— export forecasts and ‘actual’ data to further improve the accuracy of general terminal capacity planning projects,— reduce labour costs associated with generating similar types of forecasts and reports manually,— allow for simple multi-user access / interface to reduce reliance on a limite.

Timeline

Published Date :

31st Oct 2019 6 years ago

Deadline :

14th Nov 2019 6 years ago

Contract Start :

N/A

Contract End :

N/A

Tender Regions

Keywords

algorithm development

trend forecasting suite

evidence modeling tool

time series forecasting

data trend engine

simulation engine

data science toolkit

complex systems analyzer

data visualization tools

risk projection tool

predictive modeling engine

hypothesis testing module

statistical forecasting system

scientific data modeling tool

scientific computation modules

research computation platform

forecast modeling software

mathematical modeling tool

equation solver interface

simulation environment creation

algorithm analysis software

numerical analysis software

scenario simulation engine

time-series analysis platform

regression analysis modules

predictive analytics engine

statistical analysis coding

optimization algorithm suite

mathematical solver integration

predictive forecasting engine

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Workflows

Status :

Closed

Procedure :

N/A

Suitable for SME :

N/A

Nationwide :

No

Assign to :

Tender Progress :

0%

Details

Notice Type :

Tender

Tender Identifier :

IT-378-246-T: 2024 - 001

Tenderbase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk