An integrated data envelopment approach for evaluating the meat companies efficiency

Abstract

The purpose of this study is to apply the assurance region (AR) concept to restrict the range of input-output weights with expert opinions in the data envelopment approach (DEA). Opinions from 34 experts were collected by a questionnaire in order to rank the importance of cost and revenue sources and measure the influence of business factors with the fuzzy analytic hierarchy process (FAHP). This article suggests that a DEA with AR specification in variable weights can present realistic results to measure and rank the performance of twenty meat auction companies (MAC) in Taiwan. We categorise MACs into four groups by decomposing their two revenue sources with auction and slaughter priority and recommend the managerial strategies for each group to improve operational efficiency. This consideration is more critical for small samples or industries that are close to the spatial competitive market structure.<br />

The Efficiency of Smallholder Rubber Plantations and the Factors That Influence It: A Case Study in Indonesia

“…Several studies have been conducted to analyze farming efficiency using Data Envelopment Analysis (DEA) including Tang et al [11], Le et al [12], Horvat et al [13], Chien and Chi [14], Wysokiński et al [15], Ibrahim et al [16], and Aziz and Chowdhury [17], but these use time series data. This study uses cross-sectional data with the CRS (constant returns to scale), and VRS (variable returns to scale) approaches to the DEA model.…”

The Fuzzy DEA-Based Manufacturing Service Efficiency Evaluation and Ranking Approach for a Parallel Two-Stage Structure of a Complex Product System on the Example of Solid Waste Recycling

“…Since it is difficult for the acquisition process of fixed values to avoid subjectivity and randomness, taking fixed values as input and output would generate evaluation errors [41]. To better fit the actual situation, many researchers have combined fuzzy sets with DEA [23,32,42], and the essence is to apply data fuzzification to DEA, among which triangle fuzzy numbers are more commonly used [43]. MR Soltani et al [44] integrated fuzzy numbers and two-stage DEAs to build an efficiency evaluation model for the efficiency evaluation of some industrial workshops in Iran.…”