scholarly journals A STUDY FOR SUSTAINABLE DEVELOPMENT IN OPTOELECTRONICS INDUSTRY USING MULTIPLE CRITERIA DECISION MAKING METHODS

2015 ◽  
Vol 23 (2) ◽  
pp. 221-242 ◽  
Author(s):  
Chun-Chu LIU ◽  
An-Chin CHENG ◽  
Shih-Hui CHEN
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Multiple Criteria Decision Making ◽  
Operational Efficiency ◽  
Multiple Criteria ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Decision Making Unit ◽  
The Future ◽  
Constant Returns To Scale

This study assessed the operational efficiency of the optoelectronics industry in the Southern Taiwan Science Park (STSP) between 2007 and 2011 by using multiple criteria decision making methods (data envelopment analysis, Malmquist productivity index and Bootstrap). The data analysis showed that during the study period, meaning that the operational efficiency gap among manufacturers in STSP is widening. Among these manufacturers, eight manufacturers exhibited constant returns to scale, which was more than a half of the overall decision making unit (DMU), indicating that the operational scale of these manufacturers was nearing the optimal scale. Based on Malmquist productivity index (MPI) analysis, the factors that affect the operational efficiencies of optoelectronics manufacturers’ were as follow: operational cost, the number of employees, and the amount of fixed assets. The development should be focused on increasing technological efficiency and technological change in the future. Finally, based on Bootstrap, the results showed that the focus should be on the production technology while improving productive efficiency to ensure sustainable development of the entire domestic optoelectronics industry in the future.

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

scholarly journals Progress and Regress of Time Dependent Data and Application in Bank Branch

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
F. Hosseinzadeh Lotfi ◽  
Z. Taeb ◽  
S. Abbasbandy
Keyword(s):  
Decision Making ◽  
Commercial Bank ◽  
Spline Function ◽  
Time Dependent ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Dependent Data ◽  
Bank Branch ◽  
Decision Making Unit ◽  
Cubic Spline Function

To evaluate each decision making unit having time dependent inputs and outputs data, a new method has been developed and reported here. This method uses the Malmquist productivity index, and is a very simple function based on Cubic Spline function to determine the progress and regress of that unit. To show the capability of this developed method, the data of 9 branches of a commercial bank has been used, evaluated, and reported.

scholarly journals Reform of Chinese Universities in the Context of Sustainable Development: Teacher Evaluation and Improvement Based on Hybrid Multiple Criteria Decision-Making Model

2019 ◽  
Vol 11 (19) ◽  
pp. 5471 ◽  
Author(s):  
Sung-Shun Weng ◽  
Yang Liu ◽  
Yen-Ching Chuang
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Teacher Evaluation ◽  
Education Reform ◽  
Sustainable Development Goals ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Improvement Strategy ◽  
Development Goals

China is pushing universities to implement reforms in order to achieve the sustainable development goals, but with the development level of teachers becoming the key restricting factor. In this sense, teacher evaluation and improvement act as positive factors for China to achieve the 2030 sustainable development goals. Previous studies on teacher evaluation have usually assumed that the relationship between the evaluation criteria is independent, with the weights of each standard derived from this assumption. However, this assumption is often not in line with the actual situation. Decisions based on these studies are likely to waste resources and may negatively impact the efficiency and effectiveness of teachers’ sustainable development. This study developed an integrated model for the evaluation and improvement of teachers based on the official teacher evaluation criteria of China’s International Scholarly Exchange Curriculum (ISEC) programme and a multiple criteria decision-making methodology. First, a decision-making trial and a laboratory-based analytical network process were used to establish an influential network-relation diagram (INRD) and influential weights under ISEC standards. Next, an important performance analysis was used to integrate the weight and performance of each standard to produce a worst-performance criterion set for each university teacher. Finally, the worst performance set used an INRD to derive an improvement strategy with a cause–effect relationship for each teacher. This study chose a Chinese university that has implemented teaching reform for our case study. The results show that our developed model can assist decision-makers to improve their current evaluations of teachers and to provide a cause–effect improvement strategy for education reform committees and higher education institutions.

scholarly journals MCDM, operational research and sustainable development in the trans-border Lithuanian–German– Polish co-operation

2019 ◽  
Vol 11 (2) ◽  
pp. 7-18 ◽  
Author(s):  
Oleg Kaplinski ◽  
Friedel Peldschus ◽  
Joanicjusz Nazarko ◽  
Arturas Kaklauskas ◽  
Romualdas Baušys
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Operational Research ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Scientific School ◽  
Scientific Achievements

Abstract The article presents a description of scientific achievements concerning Multiple-Criteria Decision-Making (MCDM) methods attained as part of the cooperation between scientific centres of Lithuania, Germany and Poland with a special emphasis on the input by Professor Edmundas K. Zavadskas and his scientific school. The cooperation, which commenced in 1986, focused on “Colloquia” — the systematic, international scientific seminars. The article aimed to summarise and popularise the achievement of these “Colloquia” in the area of MCDM as well as spotlight the outstanding theoretical and application significance of accomplishments by Prof. Zavadskas. Also, the work presents the most recent MCDM methods developed by Prof. Zavadskas that improve the accuracy of calculations and extend the area of their application.

scholarly journals A New Grey Approach for Using SWARA and PIPRECIA Methods in a Group Decision-Making Environment

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1554
Author(s):  
Dragiša Stanujkić ◽  
Darjan Karabašević ◽  
Gabrijela Popović ◽  
Predrag S. Stanimirović ◽  
Muzafer Saračević ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Multiple Criteria Decision Making ◽  
Grey System Theory ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Grey System ◽  
Criteria Weights

The environment in which the decision-making process takes place is often characterized by uncertainty and vagueness and, because of that, sometimes it is very hard to express the criteria weights with crisp numbers. Therefore, the application of the Grey System Theory, i.e., grey numbers, in this case, is very convenient when it comes to determination of the criteria weights with partially known information. Besides, the criteria weights have a significant role in the multiple criteria decision-making process. Many ordinary multiple criteria decision-making methods are adapted for using grey numbers, and this is the case in this article as well. A new grey extension of the certain multiple criteria decision-making methods for the determination of the criteria weights is proposed. Therefore, the article aims to propose a new extension of the Step-wise Weight Assessment Ratio Analysis (SWARA) and PIvot Pairwise Relative Criteria Importance Assessment (PIPRECIA) methods adapted for group decision-making. In the proposed approach, attitudes of decision-makers are transformed into grey group attitudes, which allows taking advantage of the benefit that grey numbers provide over crisp numbers. The main advantage of the proposed approach in relation to the use of crisp numbers is the ability to conduct different analyses, i.e., considering different scenarios, such as pessimistic, optimistic, and so on. By varying the value of the whitening coefficient, different weights of the criteria can be obtained, and it should be emphasized that this approach gives the same weights as in the case of crisp numbers when the whitening coefficient has a value of 0.5. In addition, in this approach, the grey number was formed based on the median value of collected responses because it better maintains the deviation from the normal distribution of the collected responses. The application of the proposed approach was considered through two numerical illustrations, based on which appropriate conclusions were drawn.

Sign in / Sign up

Export Citation Format

Share Document