Research Article
Efficiency Measurement: An Application of Data Envelopment Analysis (DEA) on Natural Gas Marketing Companies in Bangladesh
Md. Nazmul Huda*
,
Md. Abdus Sabur
Issue:
Volume 10, Issue 1, March 2025
Pages:
1-12
Received:
14 February 2025
Accepted:
24 February 2025
Published:
11 March 2025
DOI:
10.11648/j.ajomis.20251001.11
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Views:
Abstract: Performance evaluation is crucial for companies to monitor their efficiency and economic status. In the context of the natural gas marketing companies in Bangladesh, their profitability has declined, leading to challenges in meeting demand. The main objective of the study is to measure the efficiency and total factor productivity changes. For five natural gas marketing companies, 10 years of data were analyzed to measure efficiency. Both non-financial indicators (input purchase units, workforce, No. of customers, length of distribution network, output- sales units) and financial indicators (input capital, cost of goods sold, operating expenses, total assets, output- profit) are used to measure efficient by applying Data envelopment analysis (DEA) and Malmquist DEA. Based on the result, newly established companies are more efficient, and the total factor productivity growth is better. To become more productive and move up to the position of an efficient company, the inefficient one should cut down on its excessive input components. The management should optimize employee use and renovate the distribution network with new technology. Innovation in technology and infrastructure development, such as AI systems for operation, leakage findings and maintenance, pressure control, online metering, and metering for all types of customers, can improve technological efficiency and reduce system loss.
Abstract: Performance evaluation is crucial for companies to monitor their efficiency and economic status. In the context of the natural gas marketing companies in Bangladesh, their profitability has declined, leading to challenges in meeting demand. The main objective of the study is to measure the efficiency and total factor productivity changes. For five ...
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Review Article
A Systematic Review, Comparison and Juxtaposition of the (Dual Fitting and Factor Revealing LP Technique), (the ESMVERE CPLEX Algorithms) and the (Data Envelopment Analysis and TOPSIS Technique)
Emmanuel Siyawo Mvere*
Issue:
Volume 10, Issue 1, March 2025
Pages:
13-37
Received:
4 June 2025
Accepted:
17 June 2025
Published:
1 August 2025
DOI:
10.11648/j.ajomis.20251001.12
Downloads:
Views:
Abstract: The objective of the present paper is to compare three location science methods. Two of the solutions discussed are practical real-world case studies, while the other method is used to reveal the approximation factor of an algorithm. We conduct an in-depth analysis of the originality, similarities, and differences of the three methods to unravel clarity on the conditions where each method may be applied, or where one method might be preferred over another. (1) The Data Envelopment Analysis (DEA)-Technique for Order Performance (preference) by Similarity to Ideal Solution (TOPSIS) technique is usable in many other areas of management science besides location analysis, however it is used in this case to guide the decision of selecting the best locations among alternatives. Hierarchical groups DEA super-efficiency and group TOPSIS technique is applied on mobile money agents’ locations in Harare Zimbabwe. (2) The ESMVERE algorithms introduce novel reformulations of the Uncapacitated Facility Location (UFL) and k-median problems which replace traditional distance matrices with Global Position System (GPS) based Euclidean Distance calculations. They are platform dependent solutions based on the CPLEX Optimization programming language (Opl). The solutions are used to solve a real-world problem which involve the near optimal siting of Hazardous Waste, Used Lead Acid Battery (ULAB), collection facilities in the Republic of Mauritius. (3) The Dual fitting with factor-revealing Linear Program (LP) technique is a location science approximation algorithm solution, used to analyze greedy algorithms that select facilities and connect the clients based on the dual solution information. The thrust of this review is to analyze the complexity, compare, contrast, and discuss the three location science techniques so as to classify them based on their purpose and area of application. Hence this review analyzes three papers and summarizes the main contributions of the three papers.
Abstract: The objective of the present paper is to compare three location science methods. Two of the solutions discussed are practical real-world case studies, while the other method is used to reveal the approximation factor of an algorithm. We conduct an in-depth analysis of the originality, similarities, and differences of the three methods to unravel cl...
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