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1 – 10 of over 2000Zainab Asim, Syed Aqib Aqib Jalil, Shakeel Javaid and Syed Mohd Muneeb
This paper aims to develop a grey decentralized bi-level multi-objective programming (MOP) model. A solution approach is also proposed for the given model. A production and…
Abstract
Purpose
This paper aims to develop a grey decentralized bi-level multi-objective programming (MOP) model. A solution approach is also proposed for the given model. A production and transportation plan for a closed loop supply chain network under an uncertain environment and different scenarios is also developed.
Design/methodology/approach
In this paper, we combined grey linear programming (GLP) and fuzzy set theory to present a solution approach for the problem. The proposed model first solves the given problem using GLP. Membership functions for the decision variables under the control of the leader and for the goals are created. These membership functions are then used to generate the final solutions.
Findings
This paper provides insight for fomenting the decision-making process while providing a more flexible approach in uncertain logistics problems. The deviations of the final solution from the individual best solutions of the two levels are very little. These deviations can further be reduced by adjusting the tolerances associated with the decision variables under the control of the leader.
Practical implications
The proposed approach uses the concept of membership functions of linear form, and thus, requires less computational efforts while providing effective results. Most of the organizations exhibit decentralized decision-making under the presence of uncertainties. Therefore, the present study is helpful in dealing with such scenarios.
Originality/value
This is the first time, formulation of a decentralized bi-level multi-objective model under a grey environment is carried out as per the best knowledge of the authors. A solution approach is developed for bi-level MOP under grey uncertainty.
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A. Hadi-Vencheh, Zahra Ghelej Beigi and Kobra Gholami
The purpose of this paper is to consider the following problem; if the manager of the parallel network systems wants to add new sub-decision making units (sub-DMUs) to each…
Abstract
Purpose
The purpose of this paper is to consider the following problem; if the manager of the parallel network systems wants to add new sub-decision making units (sub-DMUs) to each parallel network system, he/she wants to know how much new fuzzy inputs allocate to new sub-DMUs and how much outputs these new sub-DMUs produce such that the efficiency of each parallel network system improve or preserve.
Design/methodology/approach
Resource allocation and target setting is a famous topic in management science, therefore many managers attention to this field. Data envelopment analysis is one approach to apply the resource. Resource allocation and target setting is a famous topic in management science, therefore many managers attention to this field. Data envelopment analysis is one approach to apply the resource allocation and target setting. In real application the structure of many DMUs are network and the data of them are imprecise. In this work first the authors calculate the fuzzy efficiency of parallel systems by common set of weights method, after that the authors propose an approach to find how much fuzzy inputs allocate to new sub-DMUs, and how much new fuzzy outputs produce, where the efficiency of each parallel network system improve or preserve.
Findings
It is found the value of inputs and outputs of new sub-DMUs, where the efficiency of each system not worse than before.
Practical implications
The method can be used in many organizations such as banks, chain stores, car factory, etc.
Originality/value
For the first time the authors allocate new sub-DMUs to each system, and the data of paper are fuzzy numbers.
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Taqi N. Al‐Faraj, Abdulaziz S. Alidi and Khalid A. Bu‐Bshait
Details a data envelopment analysis (DEA) study of bank branches,where the bank branches are considered as the decision‐making units(DMUs). The Charnes, Cooper and Rhodes (CCR…
Abstract
Details a data envelopment analysis (DEA) study of bank branches, where the bank branches are considered as the decision‐making units (DMUs). The Charnes, Cooper and Rhodes (CCR) ratio is used to evaluate the relative efficiency of each branch. The relative efficiency is computed utilizing specific input and output factors. The study has been applied to a set of branches of one of the largest commercial banks in Saudi Arabia in an attempt to evaluate the relative efficiency of these branches in order to improve the quality of services and utilize the available resources more efficiently.
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Taqi N. Al‐Faraj and Abdulaziz S. Alidi
Data Envelopment Analysis (DEA) is a procedureto measure the relative efficiency of decision‐makingunits in situations where there are multipleinputs and outputs with no obvious…
Abstract
Data Envelopment Analysis (DEA) is a procedure to measure the relative efficiency of decision‐making units in situations where there are multiple inputs and outputs with no obvious objective way of aggregating these multiple inputs and outputs into a meaningful index of productive efficiency. A systematic application of DEA in Saudi Arabia is presented – carried out at a small college to assess the relative efficiency of teaching staff. The DEA technique and the data are described, and the results of the analysis are discussed.
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Rashmi Malhotra, D.K. Malhotra and Robert Nydick
The economic crisis has its roots in the financial services industry, but it certainly impacted the higher education in a way that has far-reaching implications for the colleges…
Abstract
The economic crisis has its roots in the financial services industry, but it certainly impacted the higher education in a way that has far-reaching implications for the colleges and universities in the United States. With unemployment rates of 8% and above, it made it difficult for families to send their kids to colleges and as a result colleges faced decline in enrollments and pressure to cut costs. Discount rates at almost all universities with an average size of 8,000 or less went up significantly. Academic departments at various universities came under pressure to get leaner and perform better with fewer resources. In this study, we benchmark the financial performance of public universities and private universities against each other as well as against themselves over the years by using data envelopment analysis model. The study also compares universities, public and private, with less than 3,000 students and more than 3,000 students against each other as well as over a period of time. The study is important as it will help university policy makers identify their strengths and weaknesses so that they can capitalize on their strong academic programs and make changes to fix weaker academic programs.
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Rashmi Malhotra, D. K. Malhotra, Elizabeth Mariotz and Raymond R. Poteau
In this chapter, we evaluate the dollar amount spent on advertising relative to sales, profit margin, and growth rates to study the effectiveness of advertising in today’s retail…
Abstract
In this chapter, we evaluate the dollar amount spent on advertising relative to sales, profit margin, and growth rates to study the effectiveness of advertising in today’s retail environment, and whether it leads directly to higher sales and increased profits affording positive earnings for the investor. The study illustrates the use of data envelopment analysis (DEA) technique to benchmark 16 apparel firms to evaluate the effectiveness of their advertising dollars on the sales, profit margin, growth, return on assets (ROA), return on equity (ROE), and return on investment (ROI).
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The global financial meltdown of late 2008 threatened the survival of many banks, insurance companies, automakers, and other institutions, further contributing to the economic…
Abstract
The global financial meltdown of late 2008 threatened the survival of many banks, insurance companies, automakers, and other institutions, further contributing to the economic slowdown already underway in the United States and abroad. The ensuing recession has negatively impacted on the airline industry in the United States with losses running into billions. In this chapter, we illustrate the use of data envelopment analysis (DEA), an operations research technique, to analyze the operating efficiency of the US airline industry by benchmarking a set of ratios that assess the operating efficiency of a firm against its peers. DEA clearly brings out the airline(s) that is (are) operating more efficiently in comparison to other airlines in the industry, and points out the areas that poorly performing airlines need to improve.
Aibing Ji, Hui Liu, Hong-jie Qiu and Haobo Lin
– The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs).
Abstract
Purpose
The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs).
Design/methodology/approach
Using the Choquet integrals as aggregating tool, the authors give a novel DEA model to evaluate the efficiencies of DMUs.
Findings
It extends DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form. At last, the authors use the numerical examples to illustrate the performance of the proposed model.
Practical implications
The proposed DEA model can be used to evaluate the efficiency of the DMUs with multiple interactive inputs and outputs.
Originality/value
This paper introduce a new DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form.
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Rashmi Malhotra, Raymond R. Poteau and D.K. Malhotra
This study develops a multidimensional framework using data envelopment analysis (DEA) as a benchmarking tool to assess the performance of the commercial banks in India. Using the…
Abstract
This study develops a multidimensional framework using data envelopment analysis (DEA) as a benchmarking tool to assess the performance of the commercial banks in India. Using the DEA approach, this study compares the relative performance of 35 banks against one another with 8 variables as the benchmark parameters. This study finds that most of the banks are consistently performing well over a period from 2005 to 2009. The study also shows the areas in which inefficient banks are lagging behind and how they can improve their performance to bring them at par with the efficient commercial banks.