Performance evaluation of leading fabless integrated circuit design houses by using a multiple objective programming based data envelopment analysis approach

Chi Yo Huang, Gwo Hshiung Tzeng, Yun Ting Chen, Hueiling Chen

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The fabless integrated circuit (IC) design is one of the most important sectors of the semiconductor industry. In 2010, the total revenue of the fabless IC design sector had already hit US$59.6 billion, accounting for one-fifth of the total semiconductor industry revenue. Thus, understanding the efficiency of fabless IC design houses is critical not only for managers of fabless IC design houses, but semiconductor foundries and investors as well. However, very few researches have tried to benchmark fabless IC design houses. Most existing researches have focused on benchmarking the fabless IC design houses within a particular geographic area, such as Taiwan. Further, very few of the researches that tried to benchmark the world's leading fabless IC design houses introduced the traditional CCR or BCC Data Envelopment Analysis (DEA) models based on improper weight derivations. Such performance evaluation results were derived based on different bases of comparisons of decision-making units (DMUs). Therefore, the purpose of this paper is to evaluate the efficiency of the world's leading fabless IC design houses by introducing a new and reasonable Multiple Objectives Programming (MOP)-based DEA method with derivations of the efficiency achievement measure (EAM). The performance of the world's top forty fabless IC design houses will be evaluated. According to the analytic results, the strength and weakness of IC design houses can be demonstrated and strategies for enhancing the houses can be proposed. In the future, the proposed MOP based DEA method can serve as an appropriate method for performance evaluations.

Original languageEnglish
Pages (from-to)5899-5916
Number of pages18
JournalInternational Journal of Innovative Computing, Information and Control
Volume8
Issue number8
Publication statusPublished - 2012 Aug 1

Fingerprint

Multiple Objective Programming
Data envelopment analysis
Circuit Design
Data Envelopment Analysis
Integrated Circuits
Performance Evaluation
Semiconductors
Semiconductor materials
Sector
Integrated circuit design
Industry
Benchmark
Taiwan
Foundries
Benchmarking
Hits
Managers
Decision making
Decision Making

Keywords

  • Data envelopment analysis (DEA)
  • Fabless IC design house
  • Multiple objectives programming/efficiency achievement measure (MOP/EAM)
  • Semiconductor industry

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics

Cite this

@article{7328787602914b5c82855e29cf5ec027,
title = "Performance evaluation of leading fabless integrated circuit design houses by using a multiple objective programming based data envelopment analysis approach",
abstract = "The fabless integrated circuit (IC) design is one of the most important sectors of the semiconductor industry. In 2010, the total revenue of the fabless IC design sector had already hit US$59.6 billion, accounting for one-fifth of the total semiconductor industry revenue. Thus, understanding the efficiency of fabless IC design houses is critical not only for managers of fabless IC design houses, but semiconductor foundries and investors as well. However, very few researches have tried to benchmark fabless IC design houses. Most existing researches have focused on benchmarking the fabless IC design houses within a particular geographic area, such as Taiwan. Further, very few of the researches that tried to benchmark the world's leading fabless IC design houses introduced the traditional CCR or BCC Data Envelopment Analysis (DEA) models based on improper weight derivations. Such performance evaluation results were derived based on different bases of comparisons of decision-making units (DMUs). Therefore, the purpose of this paper is to evaluate the efficiency of the world's leading fabless IC design houses by introducing a new and reasonable Multiple Objectives Programming (MOP)-based DEA method with derivations of the efficiency achievement measure (EAM). The performance of the world's top forty fabless IC design houses will be evaluated. According to the analytic results, the strength and weakness of IC design houses can be demonstrated and strategies for enhancing the houses can be proposed. In the future, the proposed MOP based DEA method can serve as an appropriate method for performance evaluations.",
keywords = "Data envelopment analysis (DEA), Fabless IC design house, Multiple objectives programming/efficiency achievement measure (MOP/EAM), Semiconductor industry",
author = "Huang, {Chi Yo} and Tzeng, {Gwo Hshiung} and Chen, {Yun Ting} and Hueiling Chen",
year = "2012",
month = "8",
day = "1",
language = "English",
volume = "8",
pages = "5899--5916",
journal = "International Journal of Innovative Computing, Information and Control",
issn = "1349-4198",
publisher = "IJICIC Editorial Office",
number = "8",

}

TY - JOUR

T1 - Performance evaluation of leading fabless integrated circuit design houses by using a multiple objective programming based data envelopment analysis approach

AU - Huang, Chi Yo

AU - Tzeng, Gwo Hshiung

AU - Chen, Yun Ting

AU - Chen, Hueiling

PY - 2012/8/1

Y1 - 2012/8/1

N2 - The fabless integrated circuit (IC) design is one of the most important sectors of the semiconductor industry. In 2010, the total revenue of the fabless IC design sector had already hit US$59.6 billion, accounting for one-fifth of the total semiconductor industry revenue. Thus, understanding the efficiency of fabless IC design houses is critical not only for managers of fabless IC design houses, but semiconductor foundries and investors as well. However, very few researches have tried to benchmark fabless IC design houses. Most existing researches have focused on benchmarking the fabless IC design houses within a particular geographic area, such as Taiwan. Further, very few of the researches that tried to benchmark the world's leading fabless IC design houses introduced the traditional CCR or BCC Data Envelopment Analysis (DEA) models based on improper weight derivations. Such performance evaluation results were derived based on different bases of comparisons of decision-making units (DMUs). Therefore, the purpose of this paper is to evaluate the efficiency of the world's leading fabless IC design houses by introducing a new and reasonable Multiple Objectives Programming (MOP)-based DEA method with derivations of the efficiency achievement measure (EAM). The performance of the world's top forty fabless IC design houses will be evaluated. According to the analytic results, the strength and weakness of IC design houses can be demonstrated and strategies for enhancing the houses can be proposed. In the future, the proposed MOP based DEA method can serve as an appropriate method for performance evaluations.

AB - The fabless integrated circuit (IC) design is one of the most important sectors of the semiconductor industry. In 2010, the total revenue of the fabless IC design sector had already hit US$59.6 billion, accounting for one-fifth of the total semiconductor industry revenue. Thus, understanding the efficiency of fabless IC design houses is critical not only for managers of fabless IC design houses, but semiconductor foundries and investors as well. However, very few researches have tried to benchmark fabless IC design houses. Most existing researches have focused on benchmarking the fabless IC design houses within a particular geographic area, such as Taiwan. Further, very few of the researches that tried to benchmark the world's leading fabless IC design houses introduced the traditional CCR or BCC Data Envelopment Analysis (DEA) models based on improper weight derivations. Such performance evaluation results were derived based on different bases of comparisons of decision-making units (DMUs). Therefore, the purpose of this paper is to evaluate the efficiency of the world's leading fabless IC design houses by introducing a new and reasonable Multiple Objectives Programming (MOP)-based DEA method with derivations of the efficiency achievement measure (EAM). The performance of the world's top forty fabless IC design houses will be evaluated. According to the analytic results, the strength and weakness of IC design houses can be demonstrated and strategies for enhancing the houses can be proposed. In the future, the proposed MOP based DEA method can serve as an appropriate method for performance evaluations.

KW - Data envelopment analysis (DEA)

KW - Fabless IC design house

KW - Multiple objectives programming/efficiency achievement measure (MOP/EAM)

KW - Semiconductor industry

UR - http://www.scopus.com/inward/record.url?scp=84866050954&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84866050954&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84866050954

VL - 8

SP - 5899

EP - 5916

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

SN - 1349-4198

IS - 8

ER -