EVALUATING HOTEL ADVERTISEMENTS EFFICIENCY USING DATA ENVELOPMENT ANALYSIS

This paper introduces popular methods for ranking alternatives with multiple inputs and multiple outputs in the DEA context. The ranking methods are based on different criteria. Consequently, the ranking of the alternatives are not always the same, particularly as regards the best alternative. The decision maker, however, must make an absolute decision as to the most favored alternative. This study proposes a new ranking method, which is based on the average of the highly correlated ranking method. The new method is applied on a case study of ranking hotels in Israel.

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EVALUATING HOTEL ADVERTISEMENTS EFFICIENCY USING DATA ENVELOPMENT ANALYSIS

Journal of Business Economics and Management ◽

10.3846/16111699.2005.9636103 ◽

2005 ◽

Vol 6 (3) ◽

pp. 145-153 ◽

Cited By ~ 6

Author(s):

Yossi Hadad ◽

Lea Friedman ◽

Aviad A. Israeli

Keyword(s):

Data Envelopment Analysis ◽

Decision Maker ◽

Ranking Method ◽

New Method ◽

Data Envelopment ◽

Ranking Methods ◽

Multiple Outputs ◽

Highly Correlated ◽

Using Data

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Measuring Efficiency of Knowledge Production in Health Research Centers Using Data Envelopment Analysis (DEA): A Case Study in Iran

Electronic physician ◽

10.19082/3266 ◽

2016 ◽

Vol 8 (11) ◽

pp. 3266-3271

Author(s):

Mohammad Meskarpour Amiri ◽

Taha Nasiri ◽

Seyed Hassan Saadat ◽

Hosein Amini Anabad ◽

Payman Mahboobi Ardakan

Keyword(s):

Data Envelopment Analysis ◽

Knowledge Production ◽

Health Research ◽

Data Envelopment ◽

Research Centers ◽

Measuring Efficiency ◽

Using Data

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Evaluation of Assembly Part Build Orientation in Additive Manufacturing Environment using Data Envelopment Analysis

MATEC Web of Conferences ◽

10.1051/matecconf/201929302002 ◽

2019 ◽

Vol 293 ◽

pp. 02002 ◽

Cited By ~ 1

Author(s):

Kasin Ransikarbum ◽

Rapeepan Pitakaso ◽

Namhun Kim

Keyword(s):

Data Envelopment Analysis ◽

Additive Manufacturing ◽

Process Planning ◽

Data Envelopment ◽

3D Objects ◽

Lathe Machine ◽

Subtractive Manufacturing ◽

Personal Use ◽

Using Data

Whereas Subtractive Manufacturing (SM) is a process by which 3D objects are constructed by cutting material away from a solid block of material, such as milling and lathe machine; Additive Manufacturing (AM) is a synonym for 3D printing and other processes by which 3D objects are constructed by successively depositing material in layers. Recently, AM has become widespread for both industrial and personal use thanks to the freedom and benefits it provides in designing parts, reducing lead time, improving inventory, and supply chain. However, few studies examine process planning issues in AM. In addition, existing studies focus on production of an individual part alone. In this study, we examine the assembly orientation alternatives’ efficiency using Data Envelopment Analysis (DEA) technique for different AM technologies and their associated materials under conflicting criteria. A case study of hardware fasteners using bolt and nut fabrication is illustrated in the study. Our results show that different AM technologies and materials clearly impact efficiency of part production and thus suggest optimal orientation in AM process planning platform.

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