Design for Ease-of-Repair: Insights From Consumers’ Repair Experiences

2016 ◽  
Author(s):  
Jida Huang ◽  
Behzad Esmaeilian ◽  
Sara Behdad
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Product Design ◽  
Consumer Electronics ◽  
Data Envelopment ◽  
Design Domain ◽  
Or Efficiency ◽  
Response Options ◽  
Dea Method

With the increasing attention on the role of consumer behavior in sustainable development, consideration of consumer’s product repair and reuse behavior is becoming more and more important in the product design domain. In order to investigate the product ease-of-repair and its effect on future product purchase and recommendation decisions made by consumers, this paper studies the main reasons that consumers were not able to repair a product based on a survey data collected by a wiki-based website that offers repair manuals for consumer electronics. Two main questions have been asked in the survey: what is the last thing you personally fixed? And why did you not succeed in fixing it. The information of these questions and the available response options have been used to compared eleven types of electronics in terms of their ease-of-repair. A list of design features (e.g. openability, accessibility, standardization, and modularity) that may increase the repair adoption by individual consumers has been discussed. In addition, a Data Envelopment Analysis (DEA) method was introduced to compare different categories of products in terms of reparability efficiency. The findings on how repair experiences or efficiency of repair for different categories of devices influence consumers’ future purchase and recommendation decisions have been presented.

Location Optimization of Rapeseed and Soybean Cultivation Areas Considering Economic, Climatic and Social Criteria

2018 ◽  
Vol 9 (3) ◽  
pp. 53-65
Author(s):  
Reza Babazadeh ◽  
Mohammad Voria Yavarirad ◽  
Ehsan Momeni Bashusqeh
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Present Article ◽  
Principle Component Analysis ◽  
Data Envelopment ◽  
Dea Model ◽  
Location Optimization ◽  
Principle Component ◽  
Pca Method ◽  
Dea Method

This article describes how among different oilseeds, rapeseed and soybean contain considerable amounts of protein and oil and have a specific role in agriculture and supplying food. Optimizing the cultivation areas of rapeseed and soybean based on sustainability factors will improve their productivity, economic, environmental, and social objectives. The goal of the present article is to investigate the background for cultivation of these two types of seeds using a data envelopment analysis (DEA) method. Sustainable development criteria including economic, climatic and social criteria are considered in assessing the candidate locations for cultivating soybean and rapeseed by DEA model. The proposed method is applied in Iran. The Principle Component Analysis (PCA) method is used to verify and validate the results of DEA model. Results show that the DEA model can be used as a powerful tool to optimize the cultivation areas of soybean and rapeseed.

scholarly journals Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 889
Author(s):  
Chia-Nan Wang ◽  
Hoang-Phu Nguyen ◽  
Cheng-Wen Chang
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Environmental Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Undesirable Output ◽  
Dea Model ◽  
Asian Economies ◽  
Dea Method ◽  
Bad Outputs

Sustainable development has become a global catchphrase in the recent development age. This leads to the growth of various methodologies in evaluating environmental efficiency, such as the Data Envelopment Analysis (DEA) method. The purpose of this study is to propose an extended DEA model, i.e., the undesirable output model, in measuring the relative eco-efficiency scores across nations. The study collected the data of inputs, namely bad outputs and good outputs of the top 20 Asian economies in the period of 2005–2019, and then estimated the environmental efficiency of each country and classified them. The results have shown that there are four nations having higher average environmental efficiency than others. Japan is a good example of sustainable development that simultaneously balances economic development and environmental protection. The study has also discussed possible solutions for improvement to the group of nations with low environmental efficiency. Contributing to applying a novelty extended DEA model, this work recommends a more precise model, taking the weight of outputs into account for further studies.

scholarly journals Selecting Suitable, Green Port Crane Equipment for International Commercial Ports

2021 ◽  
Vol 13 (12) ◽  
pp. 6801
Author(s):  
Guo-Ya Gan ◽  
Hsuan-Shih Lee ◽  
Yu-Jwo Tao ◽  
Chang-Shu Tu
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Protection ◽  
Green Energy ◽  
Programming Approach ◽  
Data Envelopment ◽  
Container Handling ◽  
Dea Method ◽  
Green Port ◽  
Large Container ◽  
Gantry Cranes

Responding to the increasing global need for environmental protection, a green port balances economic vibrancy with environmental protection. However, because exhaust emissions (e.g., CO2 or sulfide) are difficult to monitor around ports, data on such emissions are often incomplete, which hinders research on this topic. The present study aimed to fill this gap in this topic. To remedy this problem, this study formulated a new data envelopment analysis (DEA) method for collecting CO2 emissions data at their source. This method was applied to collect real-world operating data from a large container-handling company in Taiwan. Specifically, we provide a real example using a novel green energy index to account for undesirable outputs. Our main objective was to formulate two methods that combine: (1) data envelopment analysis based on a modified slack-based measure, and (2) a multi-choice goal programming approach. The contributions of this paper included the finding that rubber-tired gantry cranes are the greenest and should be used in ports. Finally, our findings aid port managers in selecting port equipment that provides the best balance between environmental protection and profitability.

scholarly journals Benchmarking—A Way of Finding Risk Factors in Business Performance

2021 ◽  
Vol 14 (5) ◽  
pp. 221
Author(s):  
Jarmila Horváthová ◽  
Martina Mokrišová ◽  
Mária Vrábliková
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Heat Supply ◽  
Business Performance ◽  
Data Envelopment ◽  
Performance Factors ◽  
Best Value ◽  
Target Values ◽  
Dea Method ◽  
Comparison Of The Results

The purpose of this study was to emphasize that the Data Envelopment Analysis (DEA) method is an important benchmarking tool which provides necessary information for improving business performance. To fulfil the abovementioned goal, we used a sample of 48 Slovak companies involved in the field of heat supply. As their position in the economic and social environment of the country is essential, considerable attention should be paid to improving their performance. In addition to the DEA method, we applied the Best Value Method (BVM). We found that DEA is a highly important benchmarking tool, as it provides benchmarks for units that have problems with performance and helps us to reveal risk performance factors. The DEA method also allows us to determine target values of indicators. The originality of this paper is in its comparison of the results of the BVM and the DEA methods.

scholarly journals The Efficiency of Non-Bank Financial Intermediaries: Empirical Evidence from Malaysia

2008 ◽  
Author(s):  
Fadzlan Sufian
Keyword(s):  
Risk Factors ◽  
Data Envelopment Analysis ◽  
Empirical Evidence ◽  
Financial Institutions ◽  
Economies Of Scale ◽  
Financial Intermediaries ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Parametric Data ◽  
Dea Method

This paper investigates the performance of Malaysian non-bank financial institutions during the period of 2000-2004. Several efficiency estimates of individual NBFIs are evaluated using the non-parametric Data Envelopment Analysis (DEA) method. The findings suggest that during the period of study, scale inefficiency outweighs pure technical inefficiency in the Malaysian NBFI sector. We find that the merchant banks have exhibited a higher, technical efficiency compared to their peers. The empirical findings suggest that scale efficiency tends to be more sensitive to the exclusion of risk factors, implying that potential economies of scale may be overestimated when risk factors are excluded.  

scholarly journals Bad Debt and Cost Efficiency in Vietnamese Commercial Banks

2015 ◽  
Vol 22 (1) ◽  
pp. 125-140
Author(s):  
Vinh Nguyen Thi Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Efficiency ◽  
Commercial Banks ◽  
Direct Relationship ◽  
Data Envelopment ◽  
Dea Method ◽  
Two Stages ◽  
The Cost ◽  
The Relationship ◽  
Bad Debt

The paper aims at exploring the relationship between bad debt and cost efficiency in Vietnamese commercial banks in the years 2007 – 2013. The research includes two stages: (i) Measuring the cost efficiency of banks by non-parameter Data Envelopment Analysis (DEA) method suggested by Coelli (2005); and (ii) Applying the Tobit model to identify two-way effects of bad debt and bank cost efficiency. The results show that the cost efficiency in Vietnamese commercial banks is 52.6% and there exists a direct relationship between bad debt and cost efficiency.

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