AHP as a strategic decision-making tool to justify machine tool selection

2004 ◽  
Vol 146 (3) ◽  
pp. 365-376 ◽  
Author(s):  
Mustafa Yurdakul
2013 ◽  
Vol 24 (1) ◽  
Author(s):  
Edmundas Kazimieras Zavadskas ◽  
Mohammad Hasan Aghdaie ◽  
Sarfaraz Hashemkhani Zolfani

Author(s):  
Gordon Bowen ◽  
Deidre Bowen

Social media is seen very much as a marketing tool and there is little in the literature that considers its use as a strategic decision making tool. This conceptual paper is an attempt to redress the balance. Social media user-generated content from blogs or consumer feedback are methods that social media can support effective strategic decision making. However, the business and organisational environments are influential on the effective of the data collected and ultimately its analysis. The decision making approach – single or multistage are significant influencers on the quality of the decisions. Multistage decision making is supportive of controversial decision making, which leads to better utilisation of the information and consequently, better decision making. Ultimately, robust decision making is underpinned by the effectiveness of the decision making process.


2013 ◽  
Vol 315 ◽  
pp. 196-205 ◽  
Author(s):  
Nguyen Huu Tho ◽  
Siti Zawiah Md Dawal ◽  
Nukman Yusoff ◽  
Farzad Tahriri ◽  
Hideki Aoyama

Decision making for machine tool selection is intractable work of managers due to the factors involving the vague and imprecise information. The degree of hesitation is considered in the experts judgment. In this paper, an integration of the intuitionistic fuzzy (IF) Entropy and TOPSIS method are utilized to solve the vague information for decision-making process in machine tool selection. In particular, the weights of criteria are calculated by the IF Entropy and the TOPSIS is employed to determine the priority of alternative. The results of the numerical example show this integration is practical and easy to use for engineers and managers in the companies.


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