scholarly journals Evaluation and selection of transportation service provider by TOPSIS method with entropy weight

2021 ◽  
pp. 50-50
Author(s):  
Xu Wu ◽  
Cheng Zhang ◽  
Luojun Yang
Keyword(s):  
Service Provider ◽  
Entropy Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Entropy Weight ◽  
Transportation Service ◽  
Improved Technique ◽  
Criterion Method ◽  
Selection Of

In this paper, an improved technique for order of preference by similarity to ideal solution (TOPSIS) is proposed to select the optimal transportation service provider among several alternatives according to a multi-criterion method. An entropy method is embedded to determine the weights of different criteria and it is effective to avoid the subjectivity and arbitrary of choosing the weights. A case study demonstrates the proposed method is reasonable and valid for practical problems.

scholarly journals TOPSIS Method for Probabilistic Linguistic MAGDM with Entropy Weight and Its Application to Supplier Selection of New Agricultural Machinery Products

Entropy ◽  
2019 ◽  
Vol 21 (10) ◽  
pp. 953 ◽  
Author(s):  
Jianping Lu ◽  
Cun Wei ◽  
Jiang Wu ◽  
Guiwu Wei
Keyword(s):  
Supplier Selection ◽  
Scoring Function ◽  
Ideal Solution ◽  
Agricultural Machinery ◽  
Topsis Method ◽  
Entropy Weight ◽  
Suitable Alternative ◽  
Attribute Weights ◽  
Multiple Attribute ◽  
Selection Of

In multiple attribute group decision making (MAGDM) problems, uncertain decision information is well-represented by linguistic term sets (LTSs). These LTSs are easily converted into probabilistic linguistic sets (PLTSs). In this paper, a TOPSIS method is proposed for probabilistic linguistic MAGDM in which the attribute weights are completely unknown, and the decision information is in the form of probabilistic linguistic numbers (PLNs). First, the definition of the scoring function is used to solve the probabilistic linguistic entropy, which is then employed to objectively derive the attribute weights. Second, the optimal alternatives are determined by calculating the shortest distance from the probabilistic linguistic positive ideal solution (PLPIS) and on the other side the farthest distance of the probabilistic linguistic negative ideal solution (PLNIS). This proposed method extends the applications range of the traditional entropy-weighted method. Moreover, it doesn’t need the decision-maker to give the attribute weights in advance. Finally, a numerical example for supplier selection of new agricultural machinery products is used to illustrate the use of the proposed method. The result shows the approach is simple, effective and easy to calculate. The proposed method can contribute to the selection of suitable alternative successfully in other selection problems.

scholarly journals Analisis Pemilihan Vendor Terbaik dalam Pengiriman Produk Minuman dalam Kemasan Menggunakan Metode AHP dan Topsis di PT CS2 Pola Sehat

2020 ◽  
Vol 4 (1) ◽  
pp. 12-19
Author(s):  
Yonathan Yonathan
Keyword(s):  
Supply Chain ◽  
Service Provider ◽  
Topsis Method ◽  
Highest Weight ◽  
Transportation Service ◽  
Weight Value ◽  
The Right ◽  
Delay Factor ◽  
Selection Of

The process of distributing goods is precisely determined from the transportation service provider used. The transportation used will affect a supply chain can be fulfilled properly or not. The decision to choose the right vendor is based on the selection of criteria from each service provider that suits the needs of the company itself. The selection of the wrong criteria will have an impact on the services provided to customers, one of which is the delay factor. Delays that occur are dominated by shipping by land. Analysis of the selection of the right vendor is done by applying the AHP and TOPSIS methods. The criteria used consist of price, quality, delivery, flexibility and reliability. Application of AHP and TOPSIS methods will provide an assessment of each of these vendors so they can determine the best vendor. The selection of the best vendor starts from determining the weight of each predetermined criterion. Each criterion will be correlated with each other which will then be weighted by each criterion. The results of determining the best vendor are obtained with the highest weight value of 0.807 obtained by Japung using the TOPSIS method.

scholarly journals Sustainable Performance Evaluation: Evidence from Listed Chinese Mining Corporations

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 349
Author(s):  
Yuan Ma ◽  
Jingzhi Men ◽  
Mingyu Li ◽  
Xiaoyan Li
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Industrial Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
Entropy Weight ◽  
Four Dimensions ◽  
Sustainable Performance ◽  
Research Gap ◽  
Development Evaluation

Rapid industrial development has caused a series of environmental problems, which is not conducive to sustainable development of society as a whole. It is necessary to build a sustainable development evaluation system. Most of the existing literature has evaluated corporate sustainable performance from the economy, environment and society on the basis of triple bottom lines. Considering the research gap and the practice need, an evaluation system is established from four dimensions, referred to as economy, society, environment and responsibility management, and 29 indicators are designed to measure these four dimensions. Twenty seven listed Chinese mining corporations are selected as research samples, and the entropy-weight-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to calculate indicators’ weights. Results show that the four dimensions of sustainable performance weights from high to low are society, environment, economy, and management process.

Multicriteria assessment of the transportation service of the airport

2018 ◽  
Vol 123 ◽  
pp. 21-31
Author(s):  
Marek Drobny ◽  
Renata Żochowska ◽  
Aleksander Sobota
Keyword(s):  
Transportation Service ◽  
Multicriteria Assessment ◽  
Selection Of

The method of multicriteria assessment of the transportation service of the airport has been presented in the article. The several stages of the method have also been presented. The method of selection of criteria is one of the most important step in the process. The article describes the most important criteria, according to the authors, which have been took into account. The article contains the case study for the assessment of transportation service between Katowice Airport and the Katowice city. The selection of transportation means and course of the route have been the main difference between analysed variants.

scholarly journals Selection of the best location for solar plants in Turkey

2017 ◽  
Vol 26 (4) ◽  
pp. 52 ◽  
Author(s):  
Adnan Sozen ◽  
Amin Mirzapour ◽  
M. Tarik Çakir
Keyword(s):  
Data Envelopment Analysis ◽  
Solar Energy ◽  
Data Envelopment ◽  
Ideal Solution ◽  
Optimum Location ◽  
Topsis Method ◽  
Dea Efficiency ◽  
Solar Intensity ◽  
Location Identification ◽  
Selection Of

The unique properties of solar energy have led to increasing demands in various countries. In order to use solar energy effectively, environmental and geographical circumstances related to solar intensity must be considered. Different factors may affect the selection of suitable locations for solar plants. These factors must be considered concurrently for optimum location identification. This article presents an approach for the location of solar plants by data envelopment analysis (DEA). Efficiency scores over a twelve month period were evaluated by using a modified similarity to ideal solution (TOPSIS) method. This approach was applied to 30 different cities in different regions of Turkey.

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

Supplier Selection using MADM Method Under Uncertainty

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Mohammad Azadfallah
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Interval Data ◽  
Entropy Method ◽  
Ideal Solution ◽  
Topsis Method ◽  
Powerful Technique ◽  
Order Preference

In existing literature, there are several studies on supplier selection process, which opine that the suppliers information is usually incomplete and uncertain. Several methods have been proposed for solving this problem, one of which is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with interval data. There is no doubt that the TOPSIS with interval data method is a powerful technique in uncertain decision-making context. Despite its usefulness, it is logical that when data are imprecise, weight is imprecise too. To overcome this limit, the extended Shannons Entropy method with interval data is used. The main findings of this study confirm the effectiveness of the hybrid proposed models.

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