scholarly journals Efficiency analysis of tempeh chips production using a data envelopment analysis

2021 ◽  
Vol 924 (1) ◽  
pp. 012055
Author(s):  
S A Mustaniroh ◽  
N Akhmad ◽  
M Kurniawan
Keyword(s):  
Data Envelopment Analysis ◽  
Production Process ◽  
Raw Materials ◽  
Employee Performance ◽  
Raw Material ◽  
Data Envelopment ◽  
Critical Problems ◽  
Using Data ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Abstract The Small Medium Enterprises (SMEs) clusters of tempeh chips face critical problems in the production process, i.e., the low quality of raw materials, defective products, and fluctuating sales. These issues affect their productivity, leading to impending improvements. One effort to increase productivity is to increase efficiency during the production process. The research objectives are to analyze and improve the efficiency of soybean chips production using Data Envelopment Analysis (DEA). The objects of research are 5 SMEs that are producing tempeh chips in the same classification. The results showed that the efficiency of production variables are losses, labor, and sales results. The efficiency value is 89.4%-100%, which shows that the production process runs inefficiently due to the high number of losses during the production process, inaccurate production targets, low product selling prices, and limited marketing. The suggested improvement for industries is to improve raw material planning and employee performance to reduce the number of losses that occurred, evaluate and upgrade the supply chain management, optimize social media marketing, and increase the competitiveness of tempeh chips products.

scholarly journals Analysis of Efficiency and Strategy for Increasing Efficiency through the Potential Improvement of the Company Using Data Envelopment Analysis Method (A Study of Cement Companies in Indonesia)

2021 ◽  
Vol 56 (3) ◽  
pp. 207-215
Author(s):  
Riko Hendrawan ◽  
Eddy Putra
Keyword(s):  
Data Envelopment Analysis ◽  
Quantitative Methods ◽  
Raw Materials ◽  
Stock Exchange ◽  
Raw Material ◽  
Data Envelopment ◽  
Labor Costs ◽  
Input Variables ◽  
Potential Improvement ◽  
Using Data

This research analyzes the efficiency of four of thirteen cement companies in Indonesia listed on the Indonesia Stock Exchange, namely Semen Indonesia Ltd., Solusi Bangun Indonesia Ltd., Indocement Tunggal Prakarsa Ltd., and Semen Baturaja Ltd. during the 2014-2018 period. This research employs quantitative methods with comparative and descriptive approaches, where the efficiency level was analyzed using the Data Envelopment Analysis (DEA). The input variables in this research are raw material costs, labor costs, total assets, and total equity, while the output variables are revenue and EBITDA. The analysis shows that respectively the average efficiency values are as follows: Semen Indonesia Ltd. (0.92), Solusi Bangun Indonesia Ltd (0.85), Semen Baturaja Ltd (0.8), and Indocement Tunggal Prakarsa Ltd (0.74). Considering these results, the potential improvements that can be done by Semen Baturaja Ltd. and Indocement Tunggal Prakarsa Ltd. are to increase the revenue and EBITDA, minimize the raw materials, and maximize the use of assets.

scholarly journals SINERGI INDUSTRI DAN UMKM BERBASIS KELEMBAGAAN : UPAYA PENINGKATAN PUBLIC PRIVATE PARTNERSHIP UNTUK DAYA SAING INDUSTRI NASIONAL

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Mohammad Zeqi Yasin ◽  
Intan Yanuarisma
Keyword(s):  
Data Envelopment Analysis ◽  
Descriptive Study ◽  
Public Private Partnership ◽  
Data Envelopment ◽  
Infrastructure Development ◽  
Private Partnership ◽  
Slowing Down ◽  
Input Variables ◽  
Small Medium Enterprises ◽  
Medium Enterprises

This study aims to determine the level of efficiency of the industry in Indonesia, build synergy concept of industrial and institutional-based Micro, Small, Medium Enterprises (MSME) in Indonesia and analyze the effect of synergy transmission industry and MSME to Public Private Partnership to improve infrastructure development in Indonesia. The method used to answer the purpose of this research is the method of Data Envelopment Analysis (DEA) and descriptive study. Referring to the Cobb-Douglas models, input variables used are the capital and the capital, while the variable output that is used is the output of 24 types of industry. The result indicates that the industry condition in Indonesia is slowing down. Deceleration parameters can be seen from the industry's contribution to GDP has decreased. In addition, the increase in PPP due to the increase in industrial efficiency will increase state revenues for infrastructure development in Indonesia

scholarly journals Strategies For Manufacturing Servitization Of Korean SMEs: By Using Data Envelopment Analysis

2016 ◽  
Vol 32 (2) ◽  
pp. 635 ◽  
Author(s):  
Seung Yin Ha ◽  
Gun Hee Lee ◽  
Bum Seok Kim
Keyword(s):  
Data Envelopment Analysis ◽  
Production Process ◽  
Product Differentiation ◽  
Mass Production ◽  
Business Processes ◽  
Business Management ◽  
Data Envelopment ◽  
Sales Channel ◽  
Customized Production ◽  
Using Data

This study examines the efficiency of Korean manufacturing SMEs through data envelopment analysis. We divide business processes into support activities (e.g., business management and product planning) and primary activities (e.g., production and sales and after-sales services) to measure the efficiency of each process by product module. Moreover, we verify the effect of manufacturing servitization by comparing between the efficiency of servitized and non-servitized firms. The result shows that support activities are generally more efficient than primary activities and that standardized mass production with option (module 2) and totally customized production (module 4) is more efficient than either standardized mass production without option (module 1) or customized assembly after standardized production (module 3). The results suggest that, as SMEs are small, they have an advantage in support activities but also lack production and sales channel infrastructure. Moreover, modules 2 and 4 are relatively efficient because they can increase their product values via product differentiation. In addition, servitized firms are more efficient than non-servitized firms in almost every process and module, implying that servitization in manufacturing is an effective way to improve product value. Finally, module 1 and the production process are relatively inefficient, while servitized firms have higher efficiency scores than do non servitized firms. Likewise, module 3 and sales and after-sales services are relatively inefficient, while servitized firms have higher efficiency scores than do non servitized firms. There results imply that servitization can be used by Korean manufacturing SMEs to develop efficiently and effectively.

Data Envelopment Analysis (DEA) in the Psychological Sciences

2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart
Keyword(s):  
Data Envelopment Analysis ◽  
Aggressive Behavior ◽  
Personality Traits ◽  
Educational Administration ◽  
Latent Variable ◽  
Organizational Management ◽  
Data Envelopment ◽  
Targeted Interventions ◽  
Component Skills ◽  
Using Data

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.

scholarly journals Performance Evaluation of Fishery Enterprises Using Data Envelopment Analysis—A Malmquist Model

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 469
Author(s):  
Chia-Nan Wang ◽  
Thi-Ly Nguyen ◽  
Thanh-Tuan Dang ◽  
Thi-Hong Bui
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Technological Progress ◽  
Data Envelopment ◽  
Domestic Economy ◽  
Factor Productivity ◽  
Sales Revenue ◽  
Business Efficiency ◽  
Using Data ◽  
Decision Making Units

In Vietnam, fishing is a crucial source of nutrition and employment, which not only affects the development of the domestic economy but is also closely related to exports, heavily influencing the economy and foreign exchange. However, the Vietnamese fishery sector has been facing many challenges in innovating production technology, improving product quality, and expanding markets. Hence, the fishery enterprises need to find solutions to increase labor productivity and enhance competitiveness while minimizing difficulties. This study implemented a performance evaluation from 2015 to 2018 of 17 fishery businesses, in decision making units (DMUs), in Vietnam by applying data envelopment analysis, namely the Malmquist model. The objective of the paper is to provide a general overview of the fishery sector in Vietnam through technical efficiency, technological progress, and the total factor productivity in the four-year period. The variables used in the model include total assets, equity, total liabilities, cost of sales, revenue, and profit. The results of the paper show that Investment Commerce Fisheries Corporation (DMU10) and Hoang Long Group (DMU8) exhibited the best performances. This paper offers a valuable reference to improve the business efficiency of Vietnamese fishery enterprises and could be a useful reference for related industries.

Sign in / Sign up

Export Citation Format

Share Document