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.

scholarly journals Using the Grey-TOPSIS Method to Assess the Functioning of the Occupational Risk Management

2019 ◽  
Vol 290 ◽  
pp. 12027
Author(s):  
Joanna Tabor
Keyword(s):  
Risk Management ◽  
Research Work ◽  
Point Of View ◽  
Occupational Risk ◽  
Assessment Process ◽  
Manufacturing Companies ◽  
Topsis Method ◽  
Work Safety ◽  
Furniture Manufacturing ◽  
Grey Systems Theory

The objective of this paper is to analyse the possibility to use the Grey-TOPSIS method to assess the occupational risk management (ORM), in the situation whereby linguistic variables were used in the assessment process. The TOPSIS method has already been in use for a number of years to assess alternative solutions in many areas other than the work safety area. This paper remedies some shortcomings in using the Grey Systems Theory (GST) in ORM, and constitutes an original application of Grey-TOPSIS in the work safety area. Considering that assessment of the ORM process involves estimation of performance particular components of this process, the eight sub-processes were adopted for assessment purposes. The degree of fulfilment of a given sub-processes was assigned a respective verbal grade from Completely Wrong to Perfect. In performing this assessment, systems being in place in four furniture-manufacturing companies were selected to minimise impacts of external factors upon the ORM in these companies. By using the Grey-TOPSIS method, it was possible to rank these companies from the point of view of functioning of the ORM process, and to identify the best and the weakest company in this respect. Further research work should be conducted with the aim to develop some new hybrid, multi-criterion assessment methods, which will develop within the frameworks of the GST.

scholarly journals Multi-Criteria Decision Making Using TOPSIS Method Under Fuzzy Environment. Application in Spillway Selection

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 637 ◽  
Author(s):  
Vasiliki Balioti ◽  
Christos Tzimopoulos ◽  
Christos Evangelides
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Northern Greece ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Optimum Type ◽  
Topsis Technique ◽  
Selection Of

The selection of an appropriate spillway has a significant effect to the construction of a dam and several procedures and considerations are needed. In the past, this selection of the type of the spillway was arbitrary and sometimes with bad results. Recently the Multiple Criteria Decision Making theory has given the possibility to make a decision about the optimum form of a spillway under complex circumstances. In this paper, the above method is used and especially the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for the selection of a spillway for a dam in the district of Kilkis in Northern Greece—‘Dam Pigi’. As the criteria were fuzzy and uncertain, the Fuzzy TOPSIS method is introduced together with the AHP (Analytic Hierarchy Process), which is used for the evaluation of criteria and weights. Five types of spillways were selected as alternatives and nine criteria. The criteria are expressed as triangular fuzzy numbers in order to formulate the problem. Finally, using the Fuzzy TOPSIS method, the alternatives were ranked and the optimum type of spillway was obtained.

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 APPLICATION OF TOPSIS METHOD IN PRIORITIZATION OF HIGHWAY BRIDGES FOR SEISMIC RETROFITTING

2014 ◽  
Vol 6 (3) ◽  
pp. 114-123 ◽  
Author(s):  
Ali Yousefi ◽  
Mohd Sanusi S. Ahamad ◽  
Taksiah A. Majid
Keyword(s):  
Decision Making ◽  
Highway Bridges ◽  
Seismic Retrofitting ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Highway Network ◽  
Order Preference ◽  
Multiple Alternative ◽  
Topsis Technique ◽  
Alternative Routes

The process of bridges seismic retrofitting in the highway network is extremely costly and time consuming. In addition, the constraint on resources prevents the retrofitting of all the bridges at the same time. Besides, the bridges must be prioritized with simultaneous consideration of multiple criteria, including technical and socioeconomic aspect. This study intends to identify the major criteria and consider them simultaneously for prioritization of highway bridges additionally provides an effective technique for weighing these criteria. In this research, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method as a Multi-Criteria Decision-Making (MCDM) model is applied. TOPSIS method enables decision makers to deal with problems involving a large number of alternatives (bridges) and criteria. This methodology reduces multiple alternative (bridge) performances into a single value (ranking score) to facilitate the decision-making process for determination of the most suitable bridges for retrofitting. Suggested criteria include structural vulnerability, seismic hazard, anticipated service life, average daily traffic, interface with other lifelines, alternative routes and bridge importance. Moreover, relative importance (weight) of the criteria is assigned using Analytic Hierarchy Process (AHP) technique. The proposed method is applied to a real case of the Isfahan highway network.

scholarly journals Penerapan Metode Topsis Untuk Pemilihan Vendor Terbaik

2021 ◽  
Vol 11 (2) ◽  
pp. 19-30
Author(s):  
Derman Janner Lubis ◽  
Nur Amalina Anindita
Keyword(s):  
Calculation Method ◽  
Research Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Decision Matrix ◽  
Relative Closeness ◽  
The Matrix ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of

The selection of vendors to work on a project is an activity that must be carried out effectively and precisely so that the project is carried out in accordance with business needs and does not suffer losses. To get the best vendor ranking, you can use the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) calculation method. TOPSIS method is a method that generates rankings by calculating the distance between the best solution and the worst solution. The steps to calculate using TOPSIS are identification of alternatives and their values, create a decision matrix, normalize the matrix, calculate the normalization matrix, look for positive and negative solutions, calculate the distance between positive and negative solutions, and calculate relative closeness and sort preferences. In this study using 8 criteria and 5 alternative vendors. Research method using research and development. This method will produce a prototype. The results of the calculation of TOPSIS obtained vendor c who gets the highest score and vendor b with the lowest rank

scholarly journals A Consensus Measure of Expert Judgment in the Fuzzy TOPSIS Method

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 204 ◽  
Author(s):  
Paweł Ziemba ◽  
Aneta Becker ◽  
Jarosław Becker
Keyword(s):  
Fuzzy Numbers ◽  
Fuzzy Topsis ◽  
Topsis Method ◽  
Aggregation Method ◽  
Average Value ◽  
Expert Opinions ◽  
Order Preference ◽  
Consensus Measure ◽  
Individual Expert ◽  
The Ideal

In the case of many complex, real-world decision problems solved with the participation of a group of experts, it is important to capture the uncertainty of opinions and preferences expressed. In such situations, one can use many modifications of the technique for order preference by similarity to the ideal solution (TOPSIS) method, for example, based on fuzzy numbers. In fuzzy TOPSIS, two aggregation methods of fuzzy expert opinions dominate, the first based on the average value technique and the second one extended by the minimum and maximum functions for determining the support of the aggregated fuzzy number. An important disadvantage of both techniques is the fact that the agreement degree of expert opinions is not taken into account. This article proposes the inclusion of the modified procedure for aggregating individual expert opinions, taking into account the degree of agreement of their opinions (called the similarity aggregation method—SAM) and the ranking of experts into the fuzzy TOPSIS method. The fuzzy TOPSIS method extended in this way was used to solve the decision problem of recruiting employees by a group of experts. As part of the solution, the modified SAM was compared with aggregation procedures based on the average value and min-max (minimum and maximum) support. The results of the conducted research indicate that SAM allows fuzzy numbers to be obtained, characterized by less imprecision and greater stability than the other two considered aggregation procedures.

Strategies for Integrating Quality, Environmental, Safety and Health Management Systems

2013 ◽  
Vol 315 ◽  
pp. 894-898 ◽  
Author(s):  
Musli Mohammad ◽  
Mohd Rasid Osman ◽  
Rosnah Mohd Yusuff ◽  
Ibrahim Masood ◽  
Mohd Shahir Yahya ◽  
...  
Keyword(s):  
Case Studies ◽  
Management System ◽  
Safety Management ◽  
Quality Management System ◽  
Health Management ◽  
Health And Safety ◽  
Environmental Safety ◽  
Management Systems ◽  
Manufacturing Companies ◽  
Safety And Health

This paper discusses the strategies for integrating Quality, Environmental, Safety and Health Management Systems based on survey and case studies results. Questionnaires were distributed to 87 companies that certified with both ISO9001 and ISO14001. Meanwhile, three case studies were conducted at the manufacturing companies that have integrated several management systems. There are two ways of integrating the management systems which are: (1) consecutive implementation of management systems followed by integration or (2) integrate the management systems simultaneously from the beginning. Based on survey and case studies, it was found that many organisations started with implementing individual management system first, and then followed by integrating the management systems. Almost all the survey respondents agreed that the sequence should start with establishing Quality Management System first, and then integrate with Environmental Management System and followed by Occupational Health and Safety Management System.

A Review of Occupational Safety and Health Management Principles With Reference to the Needs of the Shipbuilding and Offshore Construction Industries: A Client Point of View

2005 ◽  
Author(s):  
Tania da Silva Barboza ◽  
Edmilson Soares Medeiros
Keyword(s):  
Environmental Impacts ◽  
Occupational Safety ◽  
Safety Management ◽  
Health Management ◽  
Integrated Management ◽  
Health And Safety ◽  
Point Of View ◽  
Management Systems ◽  
Safety Issues ◽  
Oil Companies

Accidents related to production, processing, storage and transportation of oil and its by-products have been studied extensively because of their social and environmental impacts. However, researchers have largely ignored accidents related to the construction of oil facilities, perhaps because such accidents involve a small group of people and result in smaller-scale environmental impacts. In this paper we discuss the major potential risks in every phase of an offshore unit construction. We identified the limitations of traditional safety management systems in coping with the critical problems related to safety issues. Many companies are using integrated management systems as the major tools to control risk. Such systems cover health, safety and environmental issues (HSE). PETROBRAS, the largest Brazilian oil company and one of the leading oil companies in the world, has adopted the HSE system. The system focuses on employee participation in implementation of the HSE system. We highlight leader commitment as one of the keys to good results. In many cases, management commitment is low, implying a need to convince them of the importance of health and safety performance to the future prosperity of their company. Contractual directives are baselines to build good relationships during the project. Another relevant point is to demand a management system like OHSAS 18001 from contractors. Awareness of health risks is generally below that of safety risks and emphasis should be placed on increasing understanding of the causes.

Multicriteria optimization of a novel degradable nonwoven mulch fabricated from recycled natural fibers using CV-TOPSIS technique

2021 ◽  
pp. 004051752110142
Author(s):  
Xian Liu ◽  
Changjie Chen ◽  
Xiaoxia Sun ◽  
Xinhou Wang
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Cropping Systems ◽  
Natural Fibers ◽  
Topsis Method ◽  
Comprehensive Evaluation Method ◽  
Yield And Quality ◽  
Order Preference ◽  
Topsis Technique ◽  
Beneficial Approach

Conventional polyethylene mulch is widely used in arid areas; however, excess residues have caused significant problems, such as tillage soil pollution, crop destruction, and food crisis. To solve these problems, new types of degradable nonwoven mulch fabricated from recycled natural fibers are proposed in this study, which are measured by field trial performances based on cotton yield and quality indicators, and prioritized by the Coefficient of Variation-Technique for Order Preference by Similarity to Ideal Solution (CV-TOPSIS) method. The results from this study indicate the suitability of the new mulch in cropping systems. Moreover, based on the CV-TOPSIS method, five mulch samples were prioritized as N-3 > N-4 > N-1 > N-2 > N-5, considering an agricultural evaluation. This study also confirmed that the CV-TOPSIS method was precise and robust for analyzing comprehensive agronomic assessments. The development of a new degradable nonwoven mulch provides a bidirectionally beneficial approach for recycling industrial waste fibers and for enhancing agricultural production. The comprehensive evaluation method for both crop quantity and quality introduces an efficient assessment of various mulch. In the future, deducing the parameters of the degradable nonwoven mulch design and optimizing this method requires further study.

scholarly journals IMPLEMENTATION TECHNIQUE METHOD FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) IN ASSESMENT OF DOG CHARACTERISTICS SYSTEM

2019 ◽  
Vol 2 (2) ◽  
pp. 171-180
Author(s):  
Christine ◽  
Halim Agung
Keyword(s):  
Assessment System ◽  
Ideal Solution ◽  
Topsis Method ◽  
Kennel Club ◽  
Order Preference ◽  
Filter Process ◽  
Negative Ideal Solution ◽  
Topsis Technique ◽  
Different Characteristics ◽  
Implementation Technique

Dogs are the most populated animals in 2016 according to a survey of pet populations by the UK's association of animal food makers (PFMA). With so many types of dogs and different characteristics, not all humans can choose the type of dog that suits their situation and condition. These non-conformities cause dogs to be dumped on the streets or abandoned without proper care. Therefore the dog characteristics assessment system is made which aims to facilitate the user in choosing the type of dog that is suitable for the user's situation and condition. This system is made using the TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution). This system is based on the data of dogs registered with the AKC (American Kennel Club). This system uses eight criteria, three criteria for the filter process and five criteria for the weighting process. Of the five weighting criteria, there are three cost attributes and two benefit attributes. In the TOPSIS method (Technique for Order Preference by Similarity to Ideal Solution) uses the principle that the chosen alternative must have the closest distance from the positive ideal solution and the longest (farthest) distance from the negative ideal solution. The results obtained from this assessment system are by theory-based testing 50 times with a 78% suitability match percentage. The conclusion obtained from this research is the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is quite efficient to be applied in a dog characteristic assessment system

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