scholarly journals Using analytic hierarchy process for evaluating different types of nanofluids for engine cooling systems

2019 ◽  
Vol 23 (5 Part B) ◽  
pp. 3199-3208
Author(s):  
Asli Abdulvahitoglu
Keyword(s):  
Thermal Conductivity ◽  
Analytic Hierarchy Process ◽  
Automotive Industry ◽  
Thermophysical Properties ◽  
Analytic Hierarchy ◽  
Cooling Systems ◽  
Attribute Weights ◽  
Engine Cooling ◽  
Different Types ◽  
Hierarchy Process

The radiator is an important heat exchanger for cooling the engine. Usually, water and ethylene glycol are used in vehicles as cooling fluids. However, these fluids have lower thermal conductivity. In the automotive industry, coolants with better characteristics are being searched to develop more efficient engines. In recent years, nanofluids have become more attractive to car manufacturers, with higher thermal conductivity to increase heat transfer. In this study, the analytic hierarchy process is used to structure the decision problem and to attribute weights to criteria. Three types of nanofluid (Cu-water, NiO-water, and CuO-water) were evaluated. Among the thermophysical properties of nanofluid, the most important one is calculated as the thermal conductivity and also the Cu-water is determined as the most suitable coolant in terms of thermophysical properties among the evaluated nanofluid.

Feasibility Study of Additive Manufacturing Technology Implementation in Malaysian Automotive Industry Using Analytic Hierarchy Process

2014 ◽  
Vol 903 ◽  
pp. 450-454 ◽  
Author(s):  
Siti Lydia Rahim ◽  
Shajahan Maidin
Keyword(s):  
Additive Manufacturing ◽  
Analytic Hierarchy Process ◽  
Automotive Industry ◽  
Technology Implementation ◽  
Analytic Hierarchy ◽  
Direct Production ◽  
Existing Problems ◽  
Automotive Parts ◽  
Speed Up ◽  
Hierarchy Process

Additive Manufacturing (AM) is the direct production of finished goods using additive fabrication techniques. AM done in parallel batch production can provide a large advantage in speed and cost. Currently, the efforts to utilize AM concept and technology have several problems particularly in Malaysian automotive industry. Such existing problems have discouraged the enhancement of process and product development of automotive industry. In providing the solution, by implementing AM technology, there is potential to speed up the development of automotive parts and move towards mass customization. Several issues have been discovered by discussion with PROTON. This paper presents the critical decision factors in implementing AM in Malaysian automotive industry. Analytic hierarchy process (AHP) is used to develop the framework of decision making in order to assess the factor affecting the AM implementation. The study shows that the main factors affects the implementations of AM are financial, technological, organization and design practice. The most important aspect to be considered is the investment cost. Finally, the information presented in this paper can also assist a potential user in choosing to implement or not to implement AM technology. Keywords:Additive Manufacturing, Analytic Hierarchy Process,Automotive Industry

A Method for the Virtual Enterprise to Select its Partners

2011 ◽  
Vol 204-210 ◽  
pp. 1057-1061
Author(s):  
Wen Yong Zhou ◽  
Yun Fei He ◽  
Jing Zhang
Keyword(s):  
Analytic Hierarchy Process ◽  
Virtual Enterprise ◽  
Virtual Enterprises ◽  
Ideal Solution ◽  
Analysis Model ◽  
Analytic Hierarchy ◽  
Multiple Factors ◽  
Different Types ◽  
Order Preference ◽  
Hierarchy Process

Multiple factors are required to take into consideration when evaluating the performance of candidates. This paper formulates selecting partners for virtual enterprises as a multi-criteria analysis model, and presents an effective approach by Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity Ideal Solution (TOPSIS) for solving the problem. A relatively complete database of indicators for different types of candidate is established first. AHP and entropy are simultaneously uesd to weight these indicators. An empirical example is conducted to illustrate the application of this model. The result shows that the approach can reflect the information emitted by the ratios used.

Feasibility Study of Additive Manufacturing Technology Implementation in Malaysian Automotive Industry Using Analytic Hierarchy Process

2013 ◽  
Vol 465-466 ◽  
pp. 715-719 ◽  
Author(s):  
Siti Lydia Rahim ◽  
Shajahan Maidin
Keyword(s):  
Additive Manufacturing ◽  
Analytic Hierarchy Process ◽  
Automotive Industry ◽  
Technology Implementation ◽  
Analytic Hierarchy ◽  
Direct Production ◽  
Existing Problems ◽  
Automotive Parts ◽  
Speed Up ◽  
Hierarchy Process

Additive Manufacturing (AM) is the direct production of finished goods using additive fabrication techniques. AM done in parallel batch production can provide a large advantage in speed and cost. Currently, the efforts to utilize AM concept and technology have several problems particularly in Malaysian automotive industry. Such existing problems have discouraged the enhancement of process and product development of automotive industry. In providing the solution, by implementing AM technology, there is potential to speed up the development of automotive parts and move towards mass customization. Several issues have been discovered by discussion with PROTON. This paper presents the critical decision factors in implementing AM in Malaysian automotive industry. Analytic hierarchy process (AHP) is used to develop the framework of decision making in order to assess the factor affecting the AM implementation. The study shows that the main factors affects the implementations of AM are financial, technological, organization and design practice. The most important aspect to be considered is the investment cost. Finally, the information presented in this paper can also assist a potential user in choosing to implement or not to implement AM technology. Keywords:Additive Manufacturing, Analytic Hierarchy Process,Automotive Industry

scholarly journals USING THE ANALYTIC HIERARCHY PROCESS TO ASSESS THE IMPACT OF INTERNAL CONTROL WEAKNESSES ON FIRM PERFORMANCE

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Amanda Lyn Wilford ◽  
Lawrence D. Bodin ◽  
Lawrence A. Gordon
Keyword(s):  
Firm Performance ◽  
Analytic Hierarchy Process ◽  
Internal Control ◽  
Analytic Hierarchy ◽  
Sarbanes Oxley ◽  
Different Types ◽  
The Analytic Hierarchy Process ◽  
The Impact ◽  
Hierarchy Process ◽  
Binary Measure

Since the passage of the Sarbanes-Oxley Act (SOX) of 2002, many studies have examined the impact of material weaknesses in internal control systems (MWICS) on firm performance. Overall, these studies indicate that a negative association exists between poor internal control and firm performance. Prior research suggests that the above noted association between internal control and firm performance should be affected by both the actual number and the different types of MWICS. However, this stream of research has focused on using a binary measure for internal control and has not considered the combined impact that the different types of MWICS may have on firm performance. In this study, we create and introduce a new internal control index, derived from the Analytic Hierarchy Process (AHP). We then show that more information regarding the impact of MWICS can be obtained through our AHP index measure as opposed to the binary measure that is commonly used. These findings have important implications for a firm’s stakeholders (e.g., managers, stockholders, creditors, financial analysts, employees, and auditors).

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