scholarly journals Decision-Making in Planning International Freight Transport

2020 ◽  
pp. 1-14
Author(s):  
Dariusz Masłowski ◽  
Małgorzata Dendera-Gruszka ◽  
Ewa Kulińska ◽  
Joanna Rut
Keyword(s):  
Decision Making ◽  
Research Methods ◽  
Service Providers ◽  
Freight Transport ◽  
Transport Service ◽  
Generalized Model ◽  
International Transport ◽  
Decision Making Model ◽  
Existing Data

The planning of international freight transport is one of the most important tasks carried out in transport companies. The aim of this publication is to improve the process of planning international transport by creating a generalized model presented on an example in Europe and a decision-making model developed for it. In the field of research methods, the methods of observation of transport service providers and analysis of existing data were used.

Environmentally responsible freight transport service providers' assessment under data-driven information uncertainty

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aalok Kumar ◽  
Ramesh Anbanandam
Keyword(s):  
Decision Making ◽  
Emerging Economies ◽  
Service Providers ◽  
Freight Transportation ◽  
Freight Transport ◽  
Data Driven ◽  
Transport Service ◽  
Content Type ◽  
Environmentally Responsible ◽  
Transport Industry

PurposeFreight transportation practices accounted for a significant share of environmental degradation and climate change over the years. Therefore, environmentally responsible transport practices (ERTPs) become a serious concern of freight shippers and transport service providers. Past studies generally ignored the assessment of ERTPs of freight transport companies during a transport service contract. To bridge the above literature gap, this paper proposed a hierarchical framework for evaluating freight transport companies based on ERTPs.Design/methodology/approachIn a data-driven decision-making environment, transport firm selection is affected by multiple expert inputs, lack of information availability, decision-making ambiguity and background of experts. The evaluation of such decisions requires a multi-criteria decision-making method under a group decision-making approach. This paper used a data-driven method based on the intuitionistic fuzzy-set-based analytic hierarchy process (IF-AHP) and VIseKriterijumska Kompromisno Rangiranje (IF-VIKOR) method. The applicability of the proposed framework is validated with the Indian freight transport industry.FindingsThe result analysis shows that environmental knowledge sharing among freight transport actors, quality of organizations human resource, collaborative green awareness training programs, promoting environmental awareness program for employees and compliance of government transport emission law and practice have been ranked top five ERTPs which significantly contribute to the environmental sustainability of freight transport industry. The proposed framework also ranked freight transport companies based on ERTPs.Research limitations/implicationsThis research is expected to provide a reference to develop ERTPs in the emerging economies freight transport industry and contribute to the development of a sustainable freight transport system.Originality/valueThis study assesses the environmental responsibility of the freight transportation industry. The emerging economies logistics planners can use proposed framework for assessing the performance of freight transportation companies based on ERTPs.

scholarly journals Linear Regression Approach to Predict Crop Yield

2020 ◽  
Vol 9 (1) ◽  
pp. 40-44
Author(s):  
R. Murugan ◽  
Flaize Sara Thomas ◽  
G. Geetha Shree ◽  
S. Glory ◽  
A. Shilpa
Keyword(s):  
Decision Making ◽  
Linear Regression ◽  
Crop Yield ◽  
Yield Prediction ◽  
Agricultural Field ◽  
Large Dataset ◽  
Science System ◽  
Regression Approach ◽  
Decision Making Model ◽  
Existing Data

The agriculture plays a very big and important role for the country’s growth. The agriculture science system facing lots of problems from the environmental change. Machinelearning (ML) is the best approach to overcome the problems by building the good and effective solutions. Crop yield prediction include prediction of yield for the crop by analyzing the existing data by considering several parameters like weather, soil, water and temperature etc. This project addresses and defines the predicting yield of the crop based on the previous year’s data using Linear Regression algorithm. The approach of this project is to solve the problem of cost loss. Real agricultural data is used for making the models and the models tested with the samples. The prediction model will help the end users (farmers) to predict the crop yield before cultivation of the crop onto the agricultural field. To predict the accurate results Linear Regression machine algorithm is used. The presence of large dataset will help to improve the decision making model.

scholarly journals Assessment of Rail Freight Transport Service Quality

2012 ◽  
Vol 13 (3) ◽  
pp. 188-192 ◽  
Author(s):  
Ramūnas Palšaitis ◽  
Andrejus Ponomariovas
Keyword(s):  
Service Quality ◽  
Service Providers ◽  
Freight Transport ◽  
Rolling Stock ◽  
Transport Service ◽  
Self Assessment ◽  
Rail Freight ◽  
Transportation Service ◽  
Service Quality Evaluation ◽  
Survey Results

Assessment of Rail Freight Transport Service Quality Investigations show a growth of requirements for goods transportation quality by rail. There is a need to analyse in details goods transportation system by rail to meet requirements of market and give extra boost to development transportation service quality. The purpose of the current article is to give a partial overview about the experts, freight forwarders and customers' survey results. The analysis of customers' answers showed that they are not fully satisfied with quality of the service. It was identified that freight forwarders and other transportation service providers must carry out regular self-assessment of performance against defined criteria of service. Clear and united criteria of cargo transportation quality by rail will make easier to choose transport mode, transport means and route. The survey data and literature analysis showed that there is a vast range of criteria to be proposed for rail service quality evaluation, but no one of the models is prevailing. The analysis showed that most often the mentioned criteria are linked with the information, rolling stock, reliability and punctuality.

An Integrated Multi Criteria Decision Making Model for Cloud Service Provider Selection

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0
Keyword(s):  
Decision Making ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Vast Number ◽  
The Right ◽  
Decision Making Model ◽  
Consistency Method

In the present scenario, it is inevitable for organizations to use the services offered through the cloud. As there are numerous cloud service providers, the users have a vast number of choices to get the desired service. For the long term success of any organization, it is important to choose the right cloud service provider. This paper focuses on proposing a new framework to select the best cloud service provider. While selecting the best service provider, using an appropriate method for finding out the weight of each criterion is very important as it directly impacts the ranking of candidate service providers. In this work, the Full Consistency Method (FUCOM) is employed for finding the weight of each criterion and Multi-Objective Optimization by Ratio Analysis (MOORA) is proposed for ranking the service provider. The integration of FUCOM with MOORA results in computing the reliable values of criteria weight and a simpler procedure for computing the overall score of the service provider. Hence a rational decision making is possible in selecting the best cloud service provider.

scholarly journals Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures

2021 ◽  
Vol 13 (21) ◽  
pp. 11783
Author(s):  
Verena Maria Stockhammer ◽  
Sarah Pfoser ◽  
Karin Markvica ◽  
Jürgen Zajicek ◽  
Matthias Prandstetter
Keyword(s):  
Decision Making ◽  
Service Providers ◽  
Negative Impact ◽  
Mode Choice ◽  
Freight Transport ◽  
Decision Makers ◽  
Accessible Information ◽  
Logistics Service Providers ◽  
Freight Mode Choice ◽  
Rational Behaviour

A basic assumption of many scientific theories on the topic of decision making is rational behaviour. However, previous authors assume the existence of behavioural biases in freight transport which impede rational decision making. Hardly any research exists on behavioural biases in freight transport. To address this gap, we carry out a systematic literature review on the influencing factors of freight mode choice and provide empirical evidence for the occurrence of behavioural biases in the logistics sector. Fifteen logistics service providers and six shippers are involved in interviews and a focus group to understand their mode choice process and derive information on the existence of behavioural biases. Several biases showed to exist in the practical decision-making process. For example, decision makers tend to avoid complex options (principle of least effort), they stick to already tried and tested options (status quo bias, zero-risk bias) and they tend to make decisions based on immediate and easily accessible information (availability bias). These biases distort the demand for sustainable freight transport. We therefore conclude with several motivational, cognitive and technological debiasing strategies to reduce the negative impact of behavioural biases in freight transport.

scholarly journals A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 259 ◽  
Author(s):  
Chun-Ho Chen
Keyword(s):  
Decision Making ◽  
Building Material ◽  
Supplier Selection ◽  
Service Providers ◽  
Evaluation Criteria ◽  
Multi Criteria Decision Making ◽  
Topsis Method ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Decision Making Model

The type of criterion weight can be distinguished according to different decision methods. Subjective weights are given by decision makers based on their knowledge, experience, expertise, and other factors. Objective weights are obtained through multi-step calculations of the evaluation matrix constructed from the actual information about the evaluation criteria of the alternatives. A single consideration of these two types of weights often results in biased results. In addition, in order to build an effective supply chain source, buyers must find suitable quality products and/or service providers in the process of supplier selection. Based on the above reasons, it is difficult to accurately select the appropriate alternative. The main contribution of this paper is to combine entropy weight, analytic hierarchy process (AHP) weight, and the technique for order preference by similarity to an ideal solution (TOPSIS) method into a suitable multi-criteria decision making (MCDM) solution. The TOPSIS method is extended with entropy-AHP weights, and entropy-AHP weights are used instead of subjective weights. A novel decision-making model of TOPSIS integrated entropy-AHP weights is proposed to select the appropriate supplier. Finally, we take the selection of building material suppliers as an example and use sensitivity analysis to show that the combination of the TOPSIS method based on entropy-AHP weights can effectively select the appropriate supplier.

scholarly journals Transport Service Provider Perception of Barriers and Urban Freight Policies in Brazil

2019 ◽  
Vol 11 (24) ◽  
pp. 6890 ◽  
Author(s):  
Leise Kelli de Oliveira ◽  
Carla de Oliveira Leite Nascimento ◽  
Paulo Renato de Sousa ◽  
Paulo Tarso Vilela de Resende ◽  
Francisco Gildemir Ferreira da Silva
Keyword(s):  
Service Provider ◽  
Planning Process ◽  
Service Providers ◽  
Principal Component ◽  
Freight Transport ◽  
Transport Service ◽  
Urban Freight ◽  
Urban Freight Transport ◽  
Freight Planning ◽  
Freight Vehicles

The aim of this paper is to analyze the perceptions of the transport service providers on the barriers in urban freight transport and the restrictions imposed on freight vehicles, identifying which urban freight transport policies can improve this activity in Brazil. Principal component analysis allowed us to identify which are barriers in urban cargo transport and the restrictions imposed on freight vehicles. In addition, we evaluated freight policies that can improve the activity using probabilistic preference. We obtained the database from a web-based survey of transport service providers in Brazil. The results indicate that the urban freight vehicle restriction is related to congestion and availability of loading and unloading areas. The freight vehicle restriction is a result of the lack of information and data. The theft of cargo significantly impacts urban freight transport. Transport service provider company perceptions indicate an urban mobility plan as the most-required freight policy to improve freight mobility. To reduce the barriers to urban freight planning, an understanding of the problem involving the stakeholders is needed. To do so, the challenge is to change the culture in the transportation planning process by integrating various actors to create an urban logistics plan that generates opportunities for the city.

scholarly journals SATISFACTION AND LOYALTY IN B2B RELATIONSHIPS IN THE FREIGHT FORWARDING INDUSTRY: ADDING PERCEIVED VALUE AND SERVICE QUALITY INTO EQUATION

Transport ◽  
2018 ◽  
Vol 33 (5) ◽  
pp. 1184-1195 ◽  
Author(s):  
Irene Gil-Saura ◽  
Gloria Berenguer-Contri ◽  
Eugenia Ruiz-Molina
Keyword(s):  
Service Quality ◽  
Customer Loyalty ◽  
Service Providers ◽  
Perceived Value ◽  
Relevant Information ◽  
Freight Transport ◽  
Transport Service ◽  
Transport Modes ◽  
Freight Forwarder ◽  
Freight Forwarding

This paper focuses on analysing the determinants of satisfaction (service quality, perceived value), as well as its possible influence on customer loyalty of freight forwarders to freight transport service providers (by road/maritime/air) in Spain. To this end, we propose a causal model tested using information from 205 freight forwarders collected through personal interviews. The model was estimated using the Partial Least Squares (PLS) approach. Moreover, the existence of differences in the perceptions on the analysed variables between transport modes is tested through ANOVA. Results show that service quality has an influence on customer satisfaction, both directly, as well as through perceived value. In turn, it is confirmed the relationship between satisfaction with the transportation company and customer loyalty. Furthermore, there are significant differences in quality dimensions and satisfaction between transport modes. This study confirms the importance of service quality and perceived value to promote the link between chain actors: freight forwarder and transport service provider. The main aim of this research is to go deeper into the study of satisfaction and loyalty of freight forwarders to freight transport service providers. Findings provide evidence about differences in the dimensionality of service quality between B2C and B2B settings and, even in the latter, differences between freight forwarding services and other industries are observed. The present paper is one of the few studies that obtains relevant information about several transport modes simultaneously and the findings reinforce the notion that perceptive processes in each of them are different.

Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam

2019 ◽  
pp. 125-133
Author(s):  
Duong Truong Thi Thuy ◽  
Anh Pham Thi Hoang
Keyword(s):  
Decision Making ◽  
Commercial Banks ◽  
Decision Model ◽  
Business Models ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Making Model

Banking has always played an important role in the economy because of its effects on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversified. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam.

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