Manpower demand forecasting of Strategic Emerging Industry in China: Based on grey system methodology

This paper is based on the energy consumption annual data of China's 1990-2010 and uses the improved gray system model GM (1,1, α) for analyzing and testing, in order to determine the range of α values of the model. Thus, the range of data can be applied for predicting and analyzing the energy consumption of the next decade. It can be seen from the results that the model has a reasonable and practical significance. Finally, this paper summarizes the application of the model.

Download Full-text

Selecting the best periodic inventory control and demand forecasting methods for low demand items

Journal of the Operational Research Society ◽

10.1038/sj.jors.2600418 ◽

1997 ◽

Vol 48 (7) ◽

pp. 700-713 ◽

Cited By ~ 1

Author(s):

B Sani ◽

B G Kingsman

Keyword(s):

Inventory Control ◽

Demand Forecasting ◽

Forecasting Methods

Download Full-text

Research on Public Bicycle Demand Forecasting Based on Historical Data and BP Neural Network

CICTP 2020 ◽

10.1061/9780784483053.259 ◽

2020 ◽

Author(s):

Meiying Jian ◽

Jiayu Zhang

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Historical Data ◽

Demand Forecasting

Download Full-text

An Historical Information System Methodology for Analyzing Power Structures

History and Computing ◽

10.3366/hac.2001.13.3.265 ◽

2001 ◽

Vol 13 (3) ◽

pp. 265-282

Author(s):

Marc Wohlgensinger

Keyword(s):

Information System ◽

Power Structures ◽

Historical Information ◽

System Methodology ◽

Analyzing Power

Download Full-text

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

Journal of Business and Economics ◽

10.15341/jbe(2155-7950)/09.10.2019/006 ◽

2019 ◽

Vol 10 (9) ◽

pp. 852-860

Author(s):

Mahmoud Elsayed ◽

◽

Amr Soliman ◽

Keyword(s):

System Theory ◽

Grey System Theory ◽

Insurance Market ◽

Grey Model ◽

Loss Ratio ◽

Grey System ◽

Mathematical Technique ◽

Supervisory Authority ◽

Error Ratio ◽

Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

Download Full-text