APPLICATION OF FUZZY TOPSIS MODEL FOR CONTAINER PORT SELECTION CONSIDERING ENVIRONMENTAL FACTORS

2021 ◽  
Vol 161 (A3) ◽  
Author(s):  
A Ergin ◽  
I Eker
Keyword(s):  
Cost Efficiency ◽  
Fuzzy Topsis ◽  
Container Port ◽  
Container Transportation ◽  
Ideal Situation ◽  
Port Selection ◽  
Order Preference ◽  
Container Ports ◽  
The City ◽  
Inner Parts

Container ships are the type of ships that produce the most emissions in maritime transport. In container transportation not only in navigation but also at container ports, a lot of emissions are formed. Ports are generally close by and highly interacted with the inner parts of the city, the impacts of the gas emissions are quite high on people. The study investigated port selection criteria, in terms of cost, efficiency and especially in terms of environmental impacts in order to create awareness. Container port selection problem was solved using fuzzy TOPSIS (The Technique for Order Preference by Similarity to Ideal Situation) method considering the perspective of carriers. In the study, the container port selection was carried out among the four largest container ports in Turkey.

Application of Fuzzy TOPSIS Model for Container Port Selection Considering Environmental Factors

2019 ◽  
Vol 161 (A3) ◽  
Keyword(s):  
Cost Efficiency ◽  
Fuzzy Topsis ◽  
Container Port ◽  
Container Transportation ◽  
Ideal Situation ◽  
Port Selection ◽  
Order Preference ◽  
Container Ports ◽  
The City ◽  
Inner Parts

Container ships are the type of ships that produce the most emissions in maritime transport. In container transportation not only in navigation but also at container ports, a lot of emissions are formed. Ports are generally close by and highly interacted with the inner parts of the city, the impacts of the gas emissions are quite high on people. The study investigated port selection criteria, in terms of cost, efficiency and especially in terms of environmental impacts in order to create awareness. Container port selection problem was solved using fuzzy TOPSIS (The Technique for Order Preference by Similarity to Ideal Situation) method considering the perspective of carriers. In the study, the container port selection was carried out among the four largest container ports in Turkey.

Evaluating hotel websites through the use of fuzzy AHP and fuzzy TOPSIS

2020 ◽  
Vol 13 (12) ◽  
pp. 3747-3765
Author(s):  
Rahmi Baki
Keyword(s):  
Information Quality ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Step Method ◽  
Analytic Hierarchy ◽  
Website Evaluation ◽  
Content Type ◽  
Ideal Situation ◽  
Order Preference ◽  
Hotel Websites

Purpose The purpose of this study is to develop a useful, effective and comprehensive approach to facilitate the evaluation of hotel websites. Design/methodology/approach The paper examines the literature evaluating e-commerce sites, particularly that is focused on hotel, tourism and travel. Moreover, 5 criteria and 19 sub-criteria are identified, and a two-step method is proposed for the assessment of hotel websites whereby the global weights of the proposed criteria are determined by the fuzzy analytic hierarchy process, and hotel websites are ranked through the fuzzy technique for order preference by similarity to ideal situation. Findings The results show that the leading criteria to effectively evaluate hotel websites are trust and information quality and that the most important sub-criteria are special discounts, assurance and reservation information. Practical implications This research offers practical advice to increase understanding of the determinants of an effective hotel website so that appropriate strategies can be developed to convert a website visitor into a customer. Originality/value The study aims to contribute to businesses operating in the tourism sector which seeks to increase the effectiveness of their websites by identifying criteria and proposing a methodology for hotel website evaluation.

scholarly journals A Use of Fuzzy TOPSIS to Improve the Network Selection in Wireless Multiaccess Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Mouad Mansouri ◽  
Cherkaoui Leghris
Keyword(s):  
Fuzzy Topsis ◽  
Analytic Network Process ◽  
Vertical Handover ◽  
Network Selection ◽  
Mobile Terminals ◽  
Access Technology ◽  
Ideal Situation ◽  
Network Process ◽  
Selection Step ◽  
Order Preference

Constantly faster, mobile terminals are developing, as well as wireless networks, to satisfy the growth of “Always Best Connected” demand. Users nowadays want to access the best available wireless network, either from 3GPP or IEEE group technologies, wherever they are, without losing their sessions. Consequently, mobile terminals must seamlessly transfer the communications to another access technology (vertical handover) if needed, as they often move into heterogeneous wireless environments. This work aims to optimize the network selection step in the vertical handover process. Multiattribute Decision-Making methods naturally fit this context. Nevertheless, they make wrong handover decisions sometimes, due to imprecise data collected from the metrics. This manuscript presents the use of a hybrid method, combining the fuzzy technique for order preference by similarity to the ideal situation and fuzzy analytic network process, in the network selection, to improve the quality of service and avoid, as much as possible, unnecessary handovers. The results demonstrate that this combination is the best, compared to the other methods of the same type in the network selection context.

scholarly journals Assessing the Health Vulnerability Caused by Climate and Air Pollution in Korea Using the Fuzzy TOPSIS

2019 ◽  
Vol 11 (10) ◽  
pp. 2894 ◽  
Author(s):  
Hyun-Joo Bae ◽  
Jung Eun Kang ◽  
Yu-Ra Lim
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Health Effects ◽  
Urban Areas ◽  
Fuzzy Topsis ◽  
Air Pollution Control ◽  
Ideal Situation ◽  
Vulnerability Indicators ◽  
Order Preference ◽  
High Degree

The effects of climate change and air pollution on health have become major topics of discussion and conducting an assessment on the vulnerabilities of climate change is essential to providing a solution for it. This study assesses human vulnerability to the health effects of climate change and ozone. We classified 27 detailed vulnerability indicators into eight categories and assessed the vulnerability of 249 jurisdictions in South Korea by applying the Fuzzy Technique for Order Preference by Similarity to Ideal Situation method. The results indicated that metropolitan and major urban areas were more vulnerable than other areas. Furthermore, factors such as air pollution, meteorological conditions, a vulnerable environment, the distribution of disease, health/medical capacities, and air pollution control had a significant impact on vulnerability. A validity analysis was on the vulnerability assessment results and the number of new patients diagnosed with diseases associated with the cardiovascular system; the results indicated a 66.9% correlation, signifying a considerably high validity. The proposed method for assessing vulnerabilities in terms of the health effects of air pollution is objective and based on data; thus, it is expected to present a high degree of applicability. The results can also be a critical foundation upon which to establish health policies.

scholarly journals Fuzzy TOPSIS Model for Assessment of Environmental Sustainability: A Case Study with Patient Judgements

Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1985
Author(s):  
María Carmen Carnero
Keyword(s):  
Health Care ◽  
Continuous Improvement ◽  
Patient Group ◽  
Environmental Sustainability ◽  
Fuzzy Topsis ◽  
Hospital Environment ◽  
Ideal Situation ◽  
Order Preference ◽  
Patient Groups ◽  
Corporate Social

Health care organisations have broadened their commitment to corporate social responsibility, since, as well as providing health care to patients, their activities negatively affect world pollution. This is a result of the products and technologies they use, the resources they consume, the waste they produce, and the buildings they occupy and operate. This, in turn, affects the health of the community. For this reason, a growing number of health care organisations have become involved in improvements to environmental sustainability, in order to promote public health. These improvements need to be controlled by a system whose effects can be assessed within a process of continuous improvement. This research, therefore, sets out a model constructed by extension to a fuzzy environment of the technique for order preference by similarity to ideal situation (TOPSIS), to assess the environmental responsibility of health care organizations. The weights were obtained from judgements given by both an expert in environmental matters, and a group of patients, and the judgements of both types of stakeholder were combined. The model has been applied in a Spanish public hospital over a period of five years. The closeness coefficients obtained with the judgements from the patient group are on average 6.59% higher than those obtained from the expert, and so it can be said that patients are less demanding on environmental matters. The similarity of the models was assessed, by comparing the model that combines both sets of judgements with the model constructed from the judgements of the expert and the model built from the judgements of the patient groups. The similarity is seen to be high, but it is greater in the case of the ranking obtained from the patient judgements. The results in all cases suggest a low risk of a serious environmental problem in the hospital. Nonetheless, it also implies that there are opportunities for continuous improvement. The use of a model with judgements from a patient group was intended to take into account the increasingly important need to include the judgements and opinions of different stakeholders in decision and assessment processes in the hospital environment.

scholarly journals A Model for Developing Existing Ports Considering Economic Impact and Network Connectivity

2021 ◽  
Vol 13 (7) ◽  
pp. 3705
Author(s):  
Veterina Nosadila Riaventin ◽  
Sofyan Dwi Cahyo ◽  
Ivan Kristianto Singgih
Keyword(s):  
Network Connectivity ◽  
Economic Consequences ◽  
Real Problem ◽  
Container Transportation ◽  
Container Ports ◽  
Investment Priority ◽  
Time Required ◽  
Transportation Flows ◽  
Port Clusters

This study discusses the problem of determining which container port should be developed within an existing network and when this should be carried out. A case study of Indonesia’s port network is presented, where several new ports are to be improved to ensure smooth interisland transportation flows of goods. The effects of the investment on economic consequences and increased network connectivity are assessed. When improving the ports, we consider that the available budget limits the investment. The network connectivity is evaluated by considering the number of reachable ports from the developed ports or transportation time required from other ports within the same port cluster. Based on our knowledge, our study is the first one that discusses the investment problem in multiple container ports under single management, as well as its effects regarding the increase in container flows. The problem is introduced and three mathematical models are proposed and used to solve a real problem. The results show that different models have different improved aspects of container transportation flows—e.g., a balanced improvement of the whole port network (Model 2) and appropriate investment priority for port clusters (Model 3).

Evaluation of Lean Manufacturing Systems Using MADM and Fuzzy TOPSIS

2014 ◽  
Vol 592-594 ◽  
pp. 2628-2638 ◽  
Author(s):  
T.G. Arul ◽  
C. Arumugam ◽  
P. Parthiban
Keyword(s):  
Lean Manufacturing ◽  
Manufacturing Systems ◽  
Value Added ◽  
Fuzzy Topsis ◽  
Global Market ◽  
Triangular Fuzzy Numbers ◽  
Management Philosophy ◽  
Order Preference ◽  
Indian Industries ◽  
Real World Situation

Lean manufacturing is a management philosophy derived from Toyota Production System (TPS) which aims to increase the overall values of the product or service provided to the customer through elimination of non-value added activities. In the era of globalisation, to remain competitive in the global market, many medium and small sized Indian industries adopt lean manufacturing. This paper focuses on implementation of lean manufacturing in Indian MSMEs. To examine the implementation, attributes which influence lean manufacturing are obtained and industries’ performances on these criteria are rated. In this paper, the methodology selected from many of the multi criteria models is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In the actual real world situation, because of the unreliable nature of the information gathered, the attributes are often not absolute and are imprecise. These data can be considered as fuzzy and the aim of this paper is to adopt TOPSIS decision making method to problems with fuzzy data. The rating and weights of each data are expressed as triangular fuzzy numbers. These attributes are then normalized and the TOPSIS methodology is carried out to determine the effect of implementing lean manufacturing technique in an industry. The best industry is identified by fuzzy TOPSIS on the basis of performance towards the considered attributes is consistent with results identified by TOPSIS.

Corporate sustainability assessment through fuzzy TOPSIS

2018 ◽  
Author(s):  
Eleonora Bottani ◽  
Marta Rinaldi ◽  
Federico Solari
Keyword(s):  
Sustainability Assessment ◽  
Corporate Sustainability ◽  
Reference Value ◽  
Fuzzy Topsis ◽  
Analysis And Evaluation ◽  
Sustainability Performance ◽  
Order Preference ◽  
Pros And Cons ◽  
Topsis Approach ◽  
Corporate Level

"The aim of this paper is to propose a decisionmaking methodology that enables the analysis and evaluation of sustainability at the corporate level. The proposed methodology grounds on two tools, namely the technique for order preference by similarity to ideal solution (TOPSIS) approach and fuzzy logic. The integration of these tools offers an effective way to deal with two typical issues of sustainability assessment, i.e.: 1) the fact that the company’s performance should be frequently evaluated against qualitative key performance indicators; and 2) the fact that to be meaningful, the company’s sustainability performance needs to be compared to a reference value, e.g. a threshold or benchmark, to evaluating how the company is distant from a target. The proposed approach has been applied to a real firm, operating in the food machinery industry, for testing purpose. The main pros and cons of the approach are described."

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals Fuzzy Topsis in the Assessment of OHS Management System

2019 ◽  
Vol 1 (1) ◽  
pp. 18-25
Author(s):  
Joanna Tabor
Keyword(s):  
Health And Safety ◽  
Fuzzy Topsis ◽  
Point Of View ◽  
Assessment Criteria ◽  
Management Systems ◽  
Manufacturing Companies ◽  
Topsis Method ◽  
Furniture Manufacturing ◽  
Order Preference ◽  
Topsis Technique

AbstractOccupational health and safety (OHS) management is a cycle of decision-making processes, many of which are in fact multi-criterion processes in nature. Therefore, it is important to look for and develop tools to support decision-makers in their actions aimed at improving work safety levels. The objective of this paper is to propose and verify the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method applied to compare and assess the ways OHS management systems function in different companies. The fuzzy TOPSIS method has already been used for a number of years in assessments of alternative solutions in many different areas, but the application that uses ordered fuzzy numbers is quite original in nature. It is especially beneficial to use the fuzzy approach in OHS management systems, as it makes it possible for experts to assess different criteria using most frequently used linguistic variables. The adopted approach was verified in the study of OHS management systems in four furniture manufacturing companies. Assessment criteria were requirements of the PN-N 18001: 2004 Standard. Thanks to the ordered fuzzy TOPSIS method, the analysed OHS management systems were streamlined from the point of view of 24 assessment criteria, and the best and the worst functioning system was identified. The approach presented here may constitute a significant tool for improving OHS management systems.

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