A Study on an Evaluation Method for LCD TV Products Using Axiomatic Design based Hybrid AHP/DEA Model

Abstract

Domestic LCD TV market is composed of two groups of products produced by major firms and small and medium enterprises. The major companies make the price relatively high, but the other makes lower in the same sizes.The model of the low price products does not make consumers choice when they choose LCD TV. This makes the questions of capability between difference price products. The reason above mentioned, the firms that include group of comparatively lower price, are worried about not increasing sale because of prejudice. This study is to find any interrelationship and evaluate the efficiency between the products using performance, exterior and brand power of product. In order to do this, a hybrid AHP/DEA evaluation model for comparison/valuation of LCD TV products is developed. The proposed process is; first, to derive hierarchy structure of LCD TV evaluation criteria using axiomatic design, second, to calculate the score of each LCD TV product through AHP analysis including weight calculation of evaluation criteria, and last, to evaluate the efficiency of LCD TV product by applying DEA by defining product scores as output and prices as input. It concludes that the high price products shows good efficiency, but there are some products with good exterior and brand power, not performance, also presenting good efficiency.

Locating Core Modules through the Association between Software Source Structure and Execution

“…Despite its unconventional application, previous studies used DEA to evaluate software quality, performance, productivity, and efficiency [32][33][34][35][39][40][41][42][43][44][45][46]. In this study, DEA was used to analyze the association between SNA and software profiling results.…”

“…The CCR model estimates variable returns, wherein the relationship between inputs and outputs varies depending on the scale [32]. In 1984, Banker, Charnes, and Cooper [33] developed the BCC model, wherein the relationship between inputs and outputs can be estimated at certain rates, regardless of the scale [34,35].…”

“…DEA, a nonparametric method of measuring efficiency, can analyze the relationship between the software network structure derived by SNA and the execution frequency derived by profiling technique, which uses mathematical programming rather than regression [32][33][34][35]. This method can handle multiple inputs and outputs for each operational unit without assuming functional relationships.…”

“…This method can handle multiple inputs and outputs for each operational unit without assuming functional relationships. As it measures the relative efficiency of decision-making units (DMUs) using multiple input and output elements, DEA can calculate the functions' integrated weights, and those with high weighted values are more likely to be actual core functions [32][33][34][35]. This study derives the software function ranking through a combination of SNA, software profiling, and DEA techniques to verify whether the shortcomings of existing studies have improved and derives the core functions that affect software quality.…”