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Article

Jolly Puri and Meenu Verma

This paper is focused on developing an integrated algorithmic approach named as data envelopment analysis and multicriteria decision-making (DEA-MCDM) for ranking…

Abstract

Purpose

This paper is focused on developing an integrated algorithmic approach named as data envelopment analysis and multicriteria decision-making (DEA-MCDM) for ranking decision-making units (DMUs) based on cross-efficiency technique and subjective preference(s) of the decision maker.

Design/methodology/approach

Self-evaluation in data envelopment analysis (DEA) lacks in discrimination power among DMUs. To fix this, a cross-efficiency technique has been introduced that ranks DMUs based on peer-evaluation. Different cross-efficiency formulations such as aggressive and benevolent and neutral are available in the literature. The existing ranking approaches fail to incorporate subjective preference of “one” or “some” or “all” or “most” of the cross-efficiency evaluation formulations. Therefore, the integrated framework in this paper, based on DEA and multicriteria decision-making (MCDM), aims to present a ranking approach to incorporate different cross-efficiency formulations as well as subjective preference(s) of decision maker.

Findings

The proposed approach has an advantage that each of the aggressive, benevolent and neutral cross-efficiency formulations contribute to select the best alternative among the DMUs in a MCDM problem. Ordered weighted averaging (OWA) aggregation is applied to aggregate final cross-efficiencies and to achieve complete ranking of the DMUs. This new approach is further illustrated and compared with existing MCDM approaches like simple additive weighting (SAW) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prove its validity in real situations.

Research limitations/implications

The choice of cross-efficiency formulation(s) as per subjective preference of the decision maker and different orness levels lead to different aggregated scores and thus ranking of the DMUs accordingly. The proposed ranking approach is highly useful in real applications like R and D projects, flexible manufacturing systems, electricity distribution sector, banking industry, labor assignment and the economic environmental performances for ranking and benchmarking.

Practical implications

To prove the practical applicability and robustness of the proposed integrated DEA-MCDM approach, it is applied to top twelve Indian banks in terms of three inputs and two outputs for the period 2018–2019. The findings of the study (1) ensure the impact of non-performing assets (NPAs) on the ranking of the selected banks and (2) are enormously valuable for the bank experts and policy makers to consider the impact of peer-evaluation and subjective preference(s) in formulating appropriate policies to improve performance and ranks of underperformed banks in competitive scenario.

Originality/value

To the best of the authors’ knowledge, this is the first study that has integrated both DEA and MCDM via OWA aggregation to present a ranking approach that can incorporate different cross-efficiency formulations and subjective preference(s) of the decision maker for ranking DMUs.

Details

Data Technologies and Applications, vol. 54 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

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Article

Abdollah Noorizadeh, Mahdi Mahdiloo and Reza Farzipoor Saen

The purpose of this paper is to propose a data envelopment analysis (DEA) method for customers' evaluation.

Abstract

Purpose

The purpose of this paper is to propose a data envelopment analysis (DEA) method for customers' evaluation.

Design/methodology/approach

This paper introduces a variable return to scale (VRS) cross‐efficiency (one of the DEA models) to evaluate customers. This new model can consider ratio values and give a complete ranking of customers.

Findings

It is found that the proposed model can evaluate customers in a multi criteria context; does not demand weights from the decision maker; and can consider both the ratio and absolute numbers. An aggressive form of the VRS model is formulated to evaluate the peer‐appraisal value of customers instead of self‐appraisal.

Originality/value

To the best of the authors' knowledge, there is no reference that uses cross‐efficiency model with the ratio values for customers' evaluation.

Details

Journal of Business & Industrial Marketing, vol. 28 no. 7
Type: Research Article
ISSN: 0885-8624

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Article

Corrado lo Storto

The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and…

Abstract

Purpose

The purpose of this paper is to propose a methodological framework that combines several data envelopment analysis (DEA) models to deal with the problem of evaluating and ranking advanced manufacturing technologies (AMTs) without introducing any subjectivity in the analysis.

Design/methodology/approach

The methodology follows a two-phase procedure. First, the relative efficiency of every technology is calculated by implementing different DEA cross-efficiency models generating the same number of high-order indicators as efficiency vectors. Second, high-order indicators are used as outputs in a SBM-DEA super-efficiency model to obtain a comprehensive DEA-like composite indicator.

Findings

The framework is implemented to evaluate a sample of flexible manufacturing systems. Comparing it to other methods, results show that the methodology provides reliable information for AMTs selection and effective support to management decision-making.

Originality/value

This paper contributes to the body of knowledge about the utilization of DEA to select AMTs. The framework has several advantages: a discriminating power higher than the basic DEA models; no subjective judgment relative to weights necessary to aggregate single indicators and choice of aggregation function; no need to perform any transformation normalizing original data; independence from the unit of measurement of the DEA-like composite indicator; and great flexibility and adaptability allowing the introduction of further variables in the analysis.

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Book part

Yong Zha, Liang Liang, Jie Wu and Zhimin Huang

As a Data Envelopment Analysis (DEA) extension tool, cross-evaluation method was developed to evaluate Decision Making Units’ (DMUs) performances in a competitive…

Abstract

As a Data Envelopment Analysis (DEA) extension tool, cross-evaluation method was developed to evaluate Decision Making Units’ (DMUs) performances in a competitive situation with limited demand. It identifies DMUs with best performances and rank them by applying peer evaluation mode instead of self-evaluation mode. However, it has limitations in efficiency improvement. That is, it fails to give direct information on how to improve efficiencies of the inefficient DMUs. In this chapter, we propose an alternative way to apply cross-evaluation in efficiency improvement. First, an appropriate and feasible suggestion is proposed to minimize the variation between the weights of a DMU's own optimal Charnes-Cooper-Rhodes (CCR) efficiency and the weights guaranteeing its cross-efficiency score. We exploit several transformations to convert nonlinear programming into a linear one. As a result, an overall optimal set of the weights is obtained, which precisely illustrate the preferences of decision makers and exact characteristics of production process of the evaluated DMU. A further discussion is advanced to examine the existence of non-uniqueness of the weights and to differentiate various sets of the optimal weights by suggesting a unique feasible set of multipliers to best represent the alternative weights selection criterion. Moreover, we develop several models to reallocate the inputs and outputs of inefficient DMUs with minimum amelioration as well as consideration of the preference of decision makers. Finally, we apply our models to evaluate competitive advantages of Chinese cities.

Details

Applications in Multicriteria Decision Making, Data Envelopment Analysis, and Finance
Type: Book
ISBN: 978-0-85724-470-3

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Article

Rodrigo Restrepo and Juan G. Villegas

The purpose of this paper is to present a case study in which data envelopment analysis (DEA) is used to evaluate and classify the suppliers of a Colombian motorcycle…

Abstract

Purpose

The purpose of this paper is to present a case study in which data envelopment analysis (DEA) is used to evaluate and classify the suppliers of a Colombian motorcycle assembly company. This tool allows the integration of several attributes into single performance measures (cross-efficiency and diversity efficiency) and subsequent classification based on the values obtained for these two metrics.

Design/methodology/approach

The classification uses a methodology based on two main tools. The first is an input-oriented cross-efficiency DEA model with ordinal variables to evaluate the suppliers’ performance, and the second is a classification of these into categories that identifies those with good performance for features that make them outstanding.

Findings

The assembly company segments its suppliers according to supply frequency. The results show that suppliers working under a just-in-time system achieve superior performance with respect to other suppliers.

Practical implications

The application of this methodology in a real-world case illustrates how DEA can be a useful tool to support the evaluation and classification of suppliers (a process of increasing complexity given the current trend to include multiple strategic measures together with classical operational measures). Moreover, the methodology illustrated in the study can be adapted to other similar settings.

Originality/value

The main contributions of this paper are twofold. First, to the best of our knowledge, this is the first study to illustrate the use of DEA in a real case related to supplier evaluation. Second, the presence of ordinal variables (e.g. quality or environmental ratings) gives rise to DEA variants seldom used in this context.

Propósito

Este artículo presenta un caso de estudio en el que se utiliza análisis envolvente de datos (DEA) para evaluar y clasificar los proveedores de una ensambladora colombiana de motocicletas. Dicha herramienta permite integrar múltiples atributos en dos medidas de desempeño (eficiencia cruzada y de diversidad) y la posterior clasificación de éstos con base en los valores obtenidos para ambas medidas.

Diseño/metodología/enfoque

La clasificación usa una metodología basada en dos herramientas. La primera es un modelo DEA de eficiencia cruzada orientado a las entradas con variables ordinales que se usa para evaluar el desempeño de los proveedores. La segunda es una clasificación de los proveedores en categorías para identificar aquellos con buen desempeño en algunas características que los hacen sobresalientes.

Resultados

La compañía segmenta sus proveedores de acuerdo con la frecuencia de abastecimiento. Los resultados muestran que los proveedores que operan bajo justo a tiempo (Just-in-time, JIT) tienen un desempeño superior con respecto a los demás proveedores.

Implicaciones prácticas

La aplicación de esta metodología en un caso real ilustra como DEA es una herramienta útil para apoyar la evaluación y clasificación de proveedores (un proceso de complejidad creciente gracias a la tendencia actual de incluir medidas estratégicas junto a las medidas operacionales comúnmente utilizadas). Además, la metodología utilizada puede adaptarse fácilmente a otras situaciones similares.

Originalidad/valor

Las contribuciones de este artículo son dos. Primero, hasta donde sabemos, este es el primer estudio que ilustra el uso de DEA en un caso real de evaluación de proveedores. Segundo, la presencia de variables ordinales (por ejemplo, evaluaciones de calidad y medioambiente) resultan en modelos DEA que son poco utilizados en este contexto.

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Article

Marcello Braglia and Alberto Petroni

In an era of global sourcing, the firm’s success often hinges on the most appropriate selection of its suppliers. Supplier selection is sometimes very complicated, owing…

Abstract

In an era of global sourcing, the firm’s success often hinges on the most appropriate selection of its suppliers. Supplier selection is sometimes very complicated, owing to a variety of uncontrollable and unpredictable factors which affect the decision. Describes a multiple attribute utility theory based on the use of data envelopment analysis (DEA), aimed at helping purchasing managers to formulate viable sourcing strategies in the changing market place. An application of the methodology using actual data retrieved from a firm operating in the bottling industry is illustrated. DEA has proved to be capable of handling multiple conflicting attributes inherent in supplier selection while simultaneously trading‐off key supplier selection criteria.

Details

International Journal of Physical Distribution & Logistics Management, vol. 30 no. 2
Type: Research Article
ISSN: 0960-0035

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Article

Qian Yu and Fujun Hou

The traditional data envelopment analysis (DEA) model as a non-parametric technique can measure the relative efficiencies of a decision-making units (DMUs) set with exact…

Abstract

Purpose

The traditional data envelopment analysis (DEA) model as a non-parametric technique can measure the relative efficiencies of a decision-making units (DMUs) set with exact values of inputs and outputs, but it cannot handle the imprecise data. The purpose of this paper is to establish a super efficiency interval data envelopment analysis (IDEA) model, an IDEA model based on cross-evaluation and a cross evaluation-based measure of super efficiency IDEA model. And the authors apply the proposed approach to data on the 29 public secondary schools in Greece, and further demonstrate the feasibility of the proposed approach.

Design/methodology/approach

In this paper, based on the IDEA model, the authors propose an improved version of establishing a super efficiency IDEA model, an IDEA model based on cross-evaluation, and then present a cross evaluation-based measure of super efficiency IDEA model by combining the super efficiency method with cross-evaluation. The proposed model cannot only discriminate the performance of efficient DMUs from inefficient ones, but also can distinguish between the efficient DMUs. By using the proposed approach, the overall performance of all DMUs with interval data can be fully ranked.

Findings

A numerical example is presented to illustrate the application of the proposed methodology. The result shows that the proposed approach is an effective and practical method to measure the efficiency of the DMUs with imprecise data.

Practical implications

The proposed model can avoid the fact that the original DEA model can only distinguish the performance of efficient DMUs from inefficient ones, but cannot discriminate between the efficient DMUs.

Originality/value

This paper introduces the effective method to obtain the complete rank of all DMUs with interval data.

Details

Kybernetes, vol. 45 no. 4
Type: Research Article
ISSN: 0368-492X

Keywords

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Article

Sajeev Abraham George and Narayan Rangaraj

The paper aims to carry out a performance benchmarking study of the zones of Indian Railways (IR) to develop an alternate approach for measurement of aggregate operational…

Abstract

Purpose

The paper aims to carry out a performance benchmarking study of the zones of Indian Railways (IR) to develop an alternate approach for measurement of aggregate operational performance of the railway zones and to envisage its operations in a supply chain perspective, so as to gain academic and practical insights.

Design/methodology/approach

A case study research employing data envelopment analysis (DEA) methodology has been used, with the help of data obtained from the IR annual statistical statements published by the Ministry of Railways, Government of India.

Findings

Within the set of inputs and outputs considered, the exercise identified the best performing railway zones over the years and the efficiency trends. Some weaknesses of the conventional DEA were addressed by including the concept of cross‐efficiencies along with self‐efficiencies, by analyzing longitudinal data spread over four years and also by comparing the efficiencies with the operating ratios. To an extent, this study has also helped to understand the impact of the recent restructuring of the zones on their performance.

Originality/value

The study enables the reader to gain some valuable insights from a managerial perspective for IR so as to formulate strategies of its zones to foster better performance.

Details

Benchmarking: An International Journal, vol. 15 no. 5
Type: Research Article
ISSN: 1463-5771

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Article

Corrado lo Storto

The purpose of this paper is to present an objective decision-making framework and conduct a benchmarking study in the air cargo industry.

Abstract

Purpose

The purpose of this paper is to present an objective decision-making framework and conduct a benchmarking study in the air cargo industry.

Design/methodology/approach

The decision-making framework and benchmarking methodology evaluates the aircraft value for money (VfM) as a benefit-to-cost ratio calculated adopting a measure of relative efficiency. This efficiency score is measured as a comprehensive efficiency index obtained by combining several efficiency scores calculated by implementing four data envelopment analysis (DEA) models.

Findings

The framework is used to carry on a benchmarking study in the air cargo industry on a sample of 27 airplanes. The average VfM is 67.04 percent, with measurements between 39.96 and 116.03 percent. Only three airplanes achieve full VfM and behave as benchmarks to the remaining airplanes. Boeing B727-200 is a broad player in the market. Some old cargo models (DC 9-30F) deliver the same amount of VfM as more recent aircraft models (i.e. MD-11F and A300-600F).

Research limitations/implications

The decision-making framework and benchmarking methodology can usefully support managers to make sound decisions and plans. Even though DEA generates attributes weights to different alternatives that are independent of the buyer preferences, the framework flexibility allows introducing a weighting scheme to take into account the managers preferences for certain aircraft performance/functional features. It can easily include new functional/performance measurements and adapt the VfM measurement to the particular economic context, strategy, and business model of the airlines, or be transferred to different industries.

Originality/value

The framework combines technical, functional performance, and economic cost measurements to get a unique efficiency index to evaluate the airplane VfM.

Details

Benchmarking: An International Journal, vol. 24 no. 4
Type: Research Article
ISSN: 1463-5771

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Article

Avinandan Mukherjee, Prithwiraj Nath and Manabendra Nath Pal

Explores the linkage between performance benchmarking and strategic homogeneity of Indian commercial banks. Devises a method of benchmarking performance of Indian…

Abstract

Explores the linkage between performance benchmarking and strategic homogeneity of Indian commercial banks. Devises a method of benchmarking performance of Indian commercial banks using their published financial information. Defines performance by how a bank is able to utilize its resources to generate business transactions and is measured by their ratio, which is then called the efficiency. The concept of efficiency is critical from a marketing perspective. Methodologically, in order to overcome some of the shortcomings of simple efficiencies obtained through self‐appraisal of individual banks, a more “democratic” concept of cross‐efficiency evaluated with the process of peer‐appraisal has been brought in to benchmark the banks. Clusters banks based on similarity in business policy which offers a framework for competitive positioning in the target market and serves as a basis for long‐term strategic focus. Finds that the public sector banks generally outperform the private and foreign banks in this rapidly evolving and liberalizing sector.

Details

International Journal of Bank Marketing, vol. 20 no. 3
Type: Research Article
ISSN: 0265-2323

Keywords

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