scholarly journals Evaluating of the Promotion of Strategic Alliance of Medical Devices Industry with Data Envelopment Analysis

2021 ◽  
Vol 72 ◽  
pp. 137-148
Author(s):  
Kuan- Hung CHEN
Keyword(s):  
Sensitivity Analysis ◽  
Data Envelopment Analysis ◽  
Medical Devices ◽  
Strategic Alliance ◽  
Data Envelopment ◽  
Key Factors ◽  
Corporate Groups ◽  
Horizontal Alliance ◽  
Production Areas ◽  
Kaohsiung City

Applying Data Envelopment Analysis to evaluate efficiency in this study, representative enterprises, in major Medical devices industry production areas of Kaohsiung city, with cooperation with institutional consumers are studied. The research results are summarized as below. according to DEA, 1 DMU presents strong Medical devices industry strategic alliance efficiency, 4 DMUs show the Medical devices industry strategic alliance efficiency between 0.9 and 1, and 5 DMUs reveal the Medical devices industry strategic alliance efficiency lower than 0.9. 2. Sensitivity analysis is utilized for analyzing and finding out key factors in Medical devices industry strategic alliance, and the sensitivity to efficiency is understood by gradually removing inputs and outputs for DEA. According to the results to propose suggestions, it is expected to provide actual assistance for Medical devices industry strategic alliance and reinforce the cooperation between corporate groups and institutional consumers through intra-industry alliance and horizontal alliance.

scholarly journals Applications of DEA

2019 ◽  
Vol 8 (12) ◽  
pp. 3337-3341
Keyword(s):  
Sensitivity Analysis ◽  
Data Envelopment Analysis ◽  
Variable Selection ◽  
Efficiency Measurement ◽  
Data Envelopment ◽  
Selection Methods ◽  
Seminal Paper ◽  
The Public ◽  
Methodological Aspects

Data Envelopment Analysis (DEA), an efficiency measurement and benchmarking technique originated in 1978 with the publication of the seminal paper of Charnes et al (1978) has evolved into an important technique over the years. This paper attempts to critically review the various methodological aspects of DEA for application in any domain in the public or private sectors. In specific it reviews some of the important literature available on a) variable selection methods in DEA, b) Sensitivity analysis and ranking of DMUs and c) some of the applications it has been put into over the last four decades. The focus is on specific practical aspects of applying DEA in any particular field.

Perfect Partners of Mathematical Modeling with Technology in Risk Assessment

2016 ◽  
pp. 61-90
Author(s):  
William P. Fox
Keyword(s):  
Mathematical Modeling ◽  
Risk Assessment ◽  
Game Theory ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Linear Programming ◽  
Data Envelopment Analysis ◽  
Discrete Dynamical Systems ◽  
Data Envelopment ◽  
Multi Attribute Decision Making

This chapter discusses the use of mathematical modeling with technology in risk assessment in the broad area of operations research. The authors provide modeling as a process and illustrate suggested steps in the process. This chapter reviews some of the main modeling texts and provide a brief discussion of their processes. Many illustrative examples are provided to show the breadth of mathematical modeling. These examples cover such topics as discrete dynamical systems, game theory, multi-attribute decision making, data envelopment analysis with linear programming, and integer programming. The authors discuss the important of sensitivity analysis, as applicable. Several scenarios are used as illustrative examples of the process.

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