Efficiency and productivity analysis of Indian pharmaceutical industry using data envelopment analysis

2011 ◽  
Vol 10 (1) ◽  
pp. 121 ◽  
Author(s):  
H.S. Pannu ◽  
U. Dinesh Kumar ◽  
Jamal A. Farooquie
Keyword(s):  
Data Envelopment Analysis ◽  
Pharmaceutical Industry ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
Using Data ◽  
Efficiency And Productivity ◽  
Indian Pharmaceutical Industry

scholarly journals Analisis Perbandingan Produktifitas dan Efsiensi Pengiriman Material pada Sistem Aging dan Sistem Scheduling Route Menggunakan Analisis Produktifitas dan Data Envelopment Analysis (DEA)

2021 ◽  
Vol 5 (1) ◽  
pp. 77-85
Author(s):  
Indro Prakoso ◽  
M Baharuddin Wahit Tosaili ◽  
Tigar Putri Adhiana
Keyword(s):  
Data Envelopment Analysis ◽  
Delivery System ◽  
Data Envelopment ◽  
Productivity Analysis ◽  
System Productivity ◽  
Scheduling System ◽  
Track Record ◽  
Analysis Methodology ◽  
Using Data ◽  
Aging System

Productivity and efficiency are two main things that can be used as benchmarks for success from the Delivery section of the SCM department. Productivity is the main point in assessing whether the Delivery system in the warehouse is feasible or has not reached its target. In the last few periods after carrying out a track record of the historical data of the shipment of goods. It was found that in one week there were frequent deliveries to the same user drop point location, meaning that this could lead to waste & waste from inefficient work. In connection with that, a new system is implemented, the scheduling system, which is a delivery system for delivering material with a predetermined schedule every week. This research is intended to produce a productivity analysis that shows whether this new scheduling system can increase productivity and delivery efficiency when compared to an aging system or vice versa by using a productivity analysis methodology and efficiency level benchmarking using data envelopment analysis (DEA). The results of the aging system productivity analysis have a better value, namely 34%, while the scheduling system is 26%, but scheduling has a shorter distance so it can make savings. Meanwhile, in comparison to efficiency using benchmark factors, it is found that the aging system is more efficient with an optimum value of 1, and scheduling of 0.9855535 is considered inefficient.

scholarly journals ANALISIS KINERJA INDUSTRI MANUFAKTUR DI INDONESIA

2017 ◽  
Vol 17 (1) ◽  
pp. 183
Author(s):  
Etty Puji Lestari ◽  
Isnina WSU
Keyword(s):  
Data Envelopment Analysis ◽  
Market Share ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Government Policies ◽  
Data Envelopment ◽  
Industry Development ◽  
Industry Sector ◽  
Using Data ◽  
Efficiency And Productivity

The problems on the manufacturing industry in Indonesia, among others, the disparity level of efficiency and productivity of each sub-sector of the manufacturing industry in Indonesian. This occurs due to the imbalance in the structure and dominant market share for some particular type of business in each sub-sector is in the manufacturing sector. The study will analyze the performance of the manufacturing industry in Indonesia using Data Envelopment Analysis. The study states that there is a difference of efficiency at every level of the industry. Therefore, government policies relating to industry development is absolutely necessary to improve the performance of the industry sector.

scholarly journals An inquiry into the productivity of the Indian pharmaceutical industry: application of data envelopment analysis

2017 ◽  
Vol 14 (2) ◽  
pp. 145
Author(s):  
Umang gupta Kumar Gupta ◽  
Rohit Kapoor
Keyword(s):  
Data Envelopment Analysis ◽  
Pharmaceutical Industry ◽  
Data Envelopment ◽  
Pharmaceutical Firm ◽  
Financial Reports ◽  
The Past ◽  
The Common ◽  
Indian Pharmaceutical Industry ◽  
Decision Making Units ◽  
Future Growth

Pharmaceutical industry is an important and significant industry in India. The common practice by experts, would-be investors and stakeholders of a pharmaceutical firm is to observe the year-end or quarterly financial figures of a firm and then use them to assess the firm’s future growth and competitive standing against rivals. However, over the past few years, there is a strange environment in which paid consultants and scamsters are making false and conflicting claims in terms of the performance and future growth of the companies. The researchers, however, have attempted, by means of Data Envelopment Analysis (DEA), to get past all this by benchmarking the companies based on the conversion from input to outputs. The advantage of using DEA is that, by simply using the figures from the financial reports, it brings a more rigorous quantitative analysis to make a comparison of the peers with the best virtual firm in their neighborhood. The technique itself may suggest measures for improvement. It is illustrated in the analysis by observing the slacks and targets about various companies of the pharmaceutical sector, i.e., decision making units (DMU). 

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