Railway’s Impact on Regional Socio-Economic Systems: Impact Degree Evaluation—A Case Study of Beijing-Shanghai Existing Line

2012 ◽  
Author(s):  
Xuemei Li ◽  
Dandan Liang ◽  
Yaodong Zhou
Keyword(s):  
Principal Component ◽  
Economic Systems ◽  
Data Envelopment ◽  
Future Planning ◽  
Railway Network ◽  
The Third ◽  
Operational Management ◽  
The Impact ◽  
Resource And Environment

This article establishes railway’s impact aggregative indicators by using Correlation Analysis and Principal Component Analysis. With the correlative data of Beijing-Shanghai existing line from 2000 to 2008, the paper evaluates the level of railway’s impact on regional socioeconomic systems through Data Envelopment Analysis (DEA) method. According to the DEA results, it can be divided into three levels: first level is Beijing and Shanghai; second is Tianjin, Jiangsu and Shandong; and the third is Hebei and Anhui. The results of this paper could be used as references for the future planning and operational management of Chinese railway network: (1) Railway’s influence on the starting and end station is stronger than that on the intermediate stations. In view of this, more railways or higher technical railways could be considered to build in the higher impact areas; (2) In order to meet the needs of passenger and freight transport, it’s better to separate passenger and freight lines; (3) Although the overall influence is lower at the middle stations, the impact on the systems of resource and environment is high.

Impact of merger on efficiency and productivity : a case study of commercial banks in Malaysia

1970 ◽  
Vol 5 (1) ◽  
pp. 77
Author(s):  
Mahadzir Ismail ◽  
Saliza Sulaiman ◽  
Hasni Abdul Rahim ◽  
Nordiana Nordin
Keyword(s):  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Data Envelopment ◽  
Master Plan ◽  
Before And After ◽  
Domestic Banks ◽  
The Impact ◽  
Efficiency And Productivity

The Financial Master Plan (2001- 2010) aims to enhance the capacity of banking industry so that higher effic iency and productivity can be reaped in the future. This study seeks to determine the impact of merger on the efficiency and productivity ofcommercial banks in Malaysia for the period 1995 until 2005. The study uses a non-parametric approach, nam ely DEA (data envelopment analysis?) to estimate the efficiency scores and to construct the Malmquist productivity index. To enable this estimation, three bank inputs and outputs are used. Amongst the findings are those banks exhibit higher efficiency score after the merger and thefo reign banks are more efficient than the local banks. Productivity of the banks is calculated in both periods, before and after the merger: The results show that, it is the local banks that have improved the most after the merger. The main source of productivity is technical change or innovation. The findings support the existing policy of having larger domestic banks in term of size.

scholarly journals Development of Performance Evaluation Indicators for Table Grape Packaging Units

2021 ◽  
Vol 13 (4) ◽  
pp. 2177
Author(s):  
Edson Kogachi ◽  
Adonias Ferreira ◽  
Carlos Cavalcante ◽  
Marcelo Embiruçu
Keyword(s):  
Performance Evaluation ◽  
Standard Deviation ◽  
Process Management ◽  
Principal Component ◽  
Table Grape ◽  
Data Envelopment ◽  
Table Grapes ◽  
Speed Performance ◽  
The Cost

In order to improve the process management of table grape packaging, its performance should be evaluated. However, the literature on performance evaluation indicators is scarce. To address this research gap, we propose a method for the development of performance evaluation indicators for table grape packaging units, which are characterized by labor-intensive and highly seasonal production processes in the agro-economic sector. The stages include the following: contextualizing table grape packaging units, selecting the performance objectives, selecting techniques to be used in the development of the indicators, and applying the method to the packaging units of table grapes. The techniques adopted in the development of the indicators aimed at the cost, quality, flexibility, reliability, and speed performance objectives were data envelopment analysis, principal component analysis, quantification of the batch, compliance with the program within the established deadline, and measurement of the execution time of the batch, respectively. The results obtained in the case study demonstrate that the correlations between the performance indicators do not indicate the need to disregard any of them. Furthermore, the standard deviation values for each indicator are similar. Thus, both results of correlations and standard deviation confirm the importance of the indicators chosen for the performance evaluation of table grape packaging.

scholarly journals Polymethyl Methacrylate Quality Modeling with Missing Data Using Subspace Based Model Identification

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1691
Author(s):  
Nikesh Patel ◽  
Kavitha Sivanathan ◽  
Prashant Mhaskar
Keyword(s):  
Missing Data ◽  
Least Squares ◽  
Partial Least Squares ◽  
Polymethyl Methacrylate ◽  
Model Identification ◽  
Principal Component ◽  
Quality Modeling ◽  
The Impact ◽  
Quality Measurements

This paper addresses the problem of quality modeling in polymethyl methacrylate (PMMA) production. The key challenge is handling the large amounts of missing quality measurements in each batch due to the time and cost sensitive nature of the measurements. To this end, a missing data subspace algorithm that adapts nonlinear iterative partial least squares (NIPALS) algorithms from both partial least squares (PLS) and principal component analysis (PCA) is utilized to build a data driven dynamic model. The use of NIPALS algorithms allows for the correlation structure of the input–output data to minimize the impact of the large amounts of missing quality measurements. These techniques are utilized in a simulated case study to successfully model the PMMA process in particular, and demonstrate the efficacy of the algorithm to handle the quality prediction problem in general.

The Impact of the Coronavirus (COVID-19) Pandemic on Airport Operations

2021 ◽  
pp. 558-582
Author(s):  
Güzide Karakuş ◽  
Fatma Selin Sak ◽  
Ahu Altınel
Keyword(s):  
Adverse Effects ◽  
Future Planning ◽  
Airport Operations ◽  
Exploratory Case Study ◽  
The World ◽  
The Impact

The coronavirus (COVID-19) pandemic, which started in China as of December 2019, has spread all over the world and caused different adverse effects in each country. The coronavirus has affected millions of people around the world and caused thousands of deaths. The pandemic, which causes us to question our knowledge to be true and is a new factor that should be seen as a risk in future planning, has brought new regulations in all vital activities. The fact that airline transportation is one of the sectors most affected by coronavirus determined the scope of the study. Within the scope of the study, exploratory case study was preferred and how airport operations were affected by the COVID-19 pandemic was illustrated.

scholarly journals Toward Sustainable Ferry Routes in Korea: Analysis of Operational Efficiency Considering Passenger Mobility Burdens

2020 ◽  
Vol 12 (21) ◽  
pp. 8819
Author(s):  
Thi Quynh Mai Pham ◽  
Gunwoo Lee ◽  
Hwayoung Kim
Keyword(s):  
High Efficiency ◽  
Principal Component ◽  
Analysis Data ◽  
Operational Efficiency ◽  
Vital Role ◽  
Maritime Transportation ◽  
Data Envelopment ◽  
Fuzzy C Means Clustering ◽  
The Impact ◽  
The Relationship

With its long coastline, and numerous inlets and offshore islands, coastal ferry industries play a vital role in Korean maritime transportation. This study focuses on the southwestern part of Korea, Mokpo (which has the most inhabited islands and the highest proportion of elderly island residents), and aims to evaluate the impact of passengers’ mobility burdens on the efficiency of ferry routes to achieve a better service for passengers. Integrated principal component analysis–data envelopment analysis and a fuzzy C-means clustering method were applied to analyze the efficiency of ferry routes in the Mokpo area. The efficiency results indicate that longer routes do not always achieve high-efficiency scores. The proportion of general passengers appears to influence the efficiency improvements of both general and subsidiary ferry routes. These findings can assist in better comprehending the relationship between passengers’ mobility burdens and ferry route efficiencies; this will enable the authorities and ferry management departments to develop appropriate policies and strategies and to reconstruct certain features of the inefficient routes, thereby increasing operational efficiency, reducing mobility burdens, and improving the convenience of ferry travel and sustainability of Korean passenger routes.

‘The Sword of Avenging Justice’: Politics in Sutherland after the Third Reform Act

Rural History ◽  
2008 ◽  
Vol 19 (2) ◽  
pp. 179-199 ◽  
Author(s):  
ANNIE TINDLEY
Keyword(s):  
Nineteenth Century ◽  
Political Power ◽  
Political Life ◽  
National Politics ◽  
Scottish Highlands ◽  
The Third ◽  
General Decline ◽  
The Impact

AbstractThere has been much historical debate over the role of aristocratic landed families in local and national politics throughout the nineteenth century, and the impact of the First, Second and Third Reform Acts on that role. Additionally, the period from 1881 in the Scottish Highlands was one of acute political and ideological crisis, as the debate over the reform of the Land Laws took a violent turn, and Highland landowners were forced to address the demands of their small tenants. This article addresses these debates, taking as its case-study the ducal house of Sutherland. The Leveson-Gower family owned almost the whole county of Sutherland and until 1884 dominated political life in the region. This article examines the gradual breakdown of that political power, in line with a more general decline in financial and territorial influence, both in terms of the personal role of the Fourth and Fifth Dukes of Sutherland, and the broader impact of the estate management on the mechanics and expectations of politics in the county.

Assessment of performance using MPSS based DEA

2015 ◽  
Vol 22 (4) ◽  
pp. 624-642 ◽  
Author(s):  
Subhadip Sarkar
Keyword(s):  
Principal Component ◽  
Original Data ◽  
Data Envelopment ◽  
Data Set ◽  
Content Type ◽  
Cost Strategy ◽  
A New Technique ◽  
Most Productive Scale Size ◽  
Practical Implications

Purpose – Identification of the best school among other competitors is done using a new technique called most productive scale size based data envelopment analysis (DEA). The paper aims to discuss this issue. Design/methodology/approach – A non-central principal component analysis is used here to create a new plane according to the constant return to scale. This plane contains only ultimate performers. Findings – The new method has a complete discord with the results of CCR DEA. However, after incorporating the ultimate performers in the original data set this difference was eliminated. Practical implications – The proposed frontier provides a way to identify those DMUs which follow cost strategy proposed by Porter. Originality/value – A case study of six schools is incorporated here to identify the superior school and also to visualize gaps in their performances.

scholarly journals An Integration of Train Timetabling, Platforming and Routing-Based Cooperative Adjustment Methodology for Dealing with Train Delay

2020 ◽  
Vol 30 (07) ◽  
pp. 901-919
Author(s):  
Yinggui Zhang ◽  
Zengru Chen ◽  
Min An ◽  
Aliyu Mani Umar
Keyword(s):  
High Speed ◽  
Railway Network ◽  
High Speed Railway ◽  
Train Timetabling ◽  
Safety Risks ◽  
Train Operation ◽  
Train Operation Adjustment ◽  
And Control ◽  
The Impact

Train delay is a serious issue that can spread rapidly in the railway network leading to further delay of other trains and detention of passengers in stations. However, the current practice in the event of the trail delay usually depends on train dispatcher’s experience, which cannot manage train operation effectively and may have safety risks. The application of intelligent railway monitor and control system can improve train operation management while increasing railway safety. This paper presents a methodology in which train timetabling, platforming and routing models are combined by studying the real-time adjustment and optimization of high-speed railway in the case of the train delay in order to produce a cooperative adjustment algorithm so that the train operation adjustment plan can be obtained. MATLAB computer programs have been developed based on the proposed methodology and adjustment criteria have been established from knowledge data bases in order to calculate optimized solutions. A case study is used to demonstrate the proposed methodology. The results show that the proposed method can quickly adjust the train operation plan in the case of the train delay, restore the normal train operation order, and reduce the impact of train delay on railway network effectively and efficiently.

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