scholarly journals Modelling the Accessibility Classification of Railway Lines: A case study of Northeast China railway network

2013 ◽  
Vol 25 (5) ◽  
pp. 467-474 ◽  
Author(s):  
Mian Yang ◽  
Y.J. Wang
Keyword(s):  
Northeast China ◽  
Decision Support Tool ◽  
Strategic Decision ◽  
Classification Model ◽  
Railway Network ◽  
Support Tool ◽  
China Railway

A major problem addressed in railway network planning relates to distinguishing the role of the railway line in the network, and making a reasonable classification of the lines based on their role. Accessibility has been widely used to measure the role of transportation infrastructure in various studies, but few quantitative models for the classification of the role have been presented yet. In this paper, the line accessibility classification model is proposed, which aims to distinguish the role of railway lines in the network and to classify the lines into different grades. The practicability of the model is demonstrated through the case study of Northeast China railway network where the railway lines in Northeast China can be classified into three grades. The line accessibility classification model is supposed to be a strategic decision support tool for planners and policy makers to determine the classification of railway lines.

Executives’ Decision Processes at the Front End of Major Projects: The Role of Context and Experience in Value Creation

2020 ◽  
pp. 875697282097722
Author(s):  
Denise Chenger ◽  
Jaana Woiceshyn
Keyword(s):  
Value Creation ◽  
Oil And Gas ◽  
Decision Processes ◽  
Strategic Decision ◽  
Decision Context ◽  
Front End ◽  
Risk Approach ◽  
Multiple Case

The front end of projects is strategically important; yet, how project concepts are identified, evaluated, and selected at the pre-project stage is poorly understood. This article reports on an inductive multiple-case study of how executives made such decisions in major upstream oil and gas projects. The findings show that in such a high-risk context, often an experienced executive makes these decisions alone and he creates value by facilitating growth. We identified three value-creating decision processes that varied by the executives’ risk approach and decision context. These processes depart from the formal project management prescriptions and the strategic decision-making literature.

scholarly journals The Importance of Environmental Factors in the Planning of Container Terminals: The Case Study of the Port of Augusta

2021 ◽  
Vol 11 (5) ◽  
pp. 2153
Author(s):  
Nadia Giuffrida ◽  
Maja Stojaković ◽  
Elen Twrdy ◽  
Matteo Ignaccolo
Keyword(s):  
Environmental Impact ◽  
Container Terminal ◽  
Decision Support Tool ◽  
Container Terminals ◽  
Mitigation Measures ◽  
Support Tool ◽  
Clean Environment ◽  
Different Levels

Container terminals are the main hubs of the global supply chain but, conversely, they play an important role in energy consumption, environmental pollution and even climate change due to carbon emissions. Assessing the environmental impact of this type of port terminal and choosing appropriate mitigation measures is essential to pursue the goals related to a clean environment and ensuring a good quality of life of the inhabitants of port cities. In this paper the authors present a Terminal Decision Support Tool (TDST) for the development of a container terminal that considers both operation efficiency and environmental impacts. The TDST provides environmental impact mitigation measures based on different levels of evolution of the port’s container traffic. An application of the TDST is conducted on the Port of Augusta (Italy), a port that is planning infrastructural interventions in coming years in order to gain a new role as a reference point for container traffic in the Mediterranean.

scholarly journals Performance assessment of alternative SSS networks by combining KPIs and factor-cluster analysis

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Patrizia Serra ◽  
Gianfranco Fancello
Keyword(s):  
Cluster Analysis ◽  
Performance Assessment ◽  
Decision Support Tool ◽  
Transport Systems ◽  
Quantitative Methodology ◽  
Support Tool ◽  
Performance Benchmarking ◽  
Relevant Variables ◽  
Quantitative Results

Abstract Performance assessment is a fundamental tool to successfully monitor and manage logistics and transport systems. In the field of Short Sea Shipping (SSS), the performance of the various maritime initiatives should be analyzed to assess the best way to achieve efficiency and guide related policies. This study proposes a quantitative methodology which can serve as a decision-support tool in the preliminary assessment and comparison of alternative SSS networks. The research is executed via a Mediterranean case study that compares a hypothetical Mediterranean ro-ro SSS network developed in the framework of a past Euro-Mediterranean cooperation project with the network of existing ro-ro liner services operating in the area. Performance benchmarking of the two networks is performed using a set of quantitative Key Performance Indicators (KPIs) and applying a factor-cluster analysis to produce homogeneous clusters of services based on the relevant variables while accounting for sample heterogeneity. Quantitative results mostly confirm the overall better performance of the prospective network and demonstrate that using KPIs and factor-cluster analysis to investigate the performance of maritime networks can provide policymakers with a preliminary wealth of knowledge that can help in setting targeted policy for SSS-oriented initiatives.

Simulation in food catering industry. A dashboard of performance indicators

2018 ◽  
Author(s):  
Alessandro Tufano ◽  
Riccardo Accorsi ◽  
Andrea Gallo ◽  
Riccardo Manzini
Keyword(s):  
Decision Support Tool ◽  
Point Of View ◽  
High Price ◽  
Main Concern ◽  
Support Tool ◽  
Safety Control ◽  
Catering Industry ◽  
Trade Offs ◽  
Single Production

"Contract catering industry is concerned with the production of ready-to-eat meals for schools, hospitals and private companies. The structure of this market is highly competitive, and customers are rarely willing to pay a high price for this catering service. A single production sites may be demanded up to 10.000 meals per day and these operations can hardly be managed via rule of thumbs without any quantitative decision support tool. This situation is common at several stages of a food supply chain and the methodologies presented in this paper are addressed to any food batch production system with similar complexity and trade-offs. This paper proposes an original KPI dashboard, designed to control costs, time and quality efficiency and helping managers to identify criticalities. Special emphasis is given on food safety control which is the management’s main concern and must be carefully monitored in each stage of the production. To calculate the value of KPIs a Montecarlo simulation approach is used to deal with production complexity and uncertainty. A case study showcases the potential of simulation in this complex industrial field. The case study illustrates an application of the methodology on an Italian company suffering local recipe contamination. The company aims at defining the best standard for production, identifying cycles being sustainable from an economic and environmental point of view."

A Data-Driven Decision Support Tool at the service of Energy suppliers and Utilities for Tackling Energy Poverty: A case study in Greece

2021 ◽  
Author(s):  
Apostolos Arsenopoulos ◽  
Elissaios Sarmas ◽  
Andriana Stavrakaki ◽  
Ioanna Giannouli ◽  
John Psarras
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Data Driven ◽  
Energy Poverty ◽  
Support Tool

scholarly journals DECISION TREE C4.5 ALGORITHM FOR TUITION AID GRANT PROGRAM CLASSIFICATION (CASE STUDY: DEPARTMENT OF INFORMATION SYSTEM, UNIVERSITAS TEKNOKRAT INDONESIA)

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Heni Sulistiani ◽  
Ahmad Ari Aldino
Keyword(s):  
Decision Tree ◽  
Classification Model ◽  
Grant Program ◽  
C4.5 Algorithm ◽  
Long Time ◽  
The Right ◽  
Short Time ◽  
Tuition Fee

In pandemic era, almost everyone struggles for their life. College students are such example. They have difficulty in paying tuition fee to continue their study. Based on this problematic situation, Universitas Teknokrat Indonesia grants the students who have good academic performance with tuition fee aid program. Many variables used for determining the grant made it hard to make a decision in a short time or even takes very long time. To make it easier for management to decide who is the right student to get grant, it needs classification model. The purpose of this study is the classification of grant recipients by using decision tree C4.5 algorithm. That can determine whether a potential student can be accepted as an awardee or not. Then, the results of the classification are validated with ten-fold cross validation with an accuracy, precision and recall with the score of 87 % for all part. It means the model perform quite well to be implemented into system.

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