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

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Applying Analytic Hierarchy Process (AHP) to choose a human factors technique: Choosing the suitable Human Reliability Analysis technique for the automotive industry

Safety Science ◽

10.1016/j.ssci.2017.05.007 ◽

2019 ◽

Vol 119 ◽

pp. 229-239 ◽

Cited By ~ 13

Author(s):

Alberto Petruni ◽

Evanthia Giagloglou ◽

Ewan Douglas ◽

Jie Geng ◽

Maria Chiara Leva ◽

...

Keyword(s):

Human Factors ◽

Analytic Hierarchy Process ◽

Reliability Analysis ◽

Automotive Industry ◽

Human Reliability ◽

Analytic Hierarchy ◽

Human Reliability Analysis ◽

Analysis Technique ◽

Hierarchy Process

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

Thermal Science ◽

10.2298/tsci180518241a ◽

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.

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Patent Evaluation Method of Automotive Parts Manufacturing Enterprise Based on Analytic Hierarchy Process and Fuzzy Matter-element Method

Advances in Intelligent and Soft Computing - Advances in Computer Science and Information Engineering ◽

10.1007/978-3-642-30126-1_48 ◽

2012 ◽

pp. 295-302

Author(s):

Jun Chen ◽

He Huang ◽

He Lu ◽

Jian Hu ◽

Gangyan Li

Keyword(s):

Analytic Hierarchy Process ◽

Evaluation Method ◽

Manufacturing Enterprise ◽

Analytic Hierarchy ◽

Automotive Parts ◽

Patent Evaluation ◽

Parts Manufacturing ◽

Hierarchy Process ◽

Element Method

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A Decision-Support Model for Additive Manufacturing Scheduling Using an Integrative Analytic Hierarchy Process and Multi-Objective Optimization

Applied Sciences ◽

10.3390/app10155159 ◽

2020 ◽

Vol 10 (15) ◽

pp. 5159

Author(s):

Kasin Ransikarbum ◽

Rapeepan Pitakaso ◽

Namhun Kim

Keyword(s):

Decision Support ◽

Additive Manufacturing ◽

Analytic Hierarchy Process ◽

Supply Chain Design ◽

Optimization Approach ◽

Multi Objective Optimization ◽

Analytic Hierarchy ◽

Multi Objective ◽

Trade Offs ◽

Hierarchy Process

Additive manufacturing (AM) became widespread through several organizations due to its benefits in providing design freedom, inventory improvement, cost reduction, and supply chain design. Process planning in AM involving various AM technologies is also complicated and scarce. Thus, this study proposed a decision-support tool that integrates production and distribution planning in AM involving material extrusion (ME), stereolithography (SLA), and selective laser sintering (SLS). A multi-objective optimization approach was used to schedule component batches to a network of AM printers. Next, the analytic hierarchy process (AHP) technique was used to analyze trade-offs among conflicting criteria. The developed model was then demonstrated in a decision-support system environment to enhance practitioners’ applications. Then, the developed model was verified through a case study using automotive and healthcare parts. Finally, an experimental design was conducted to evaluate the complexity of the model and computation time by varying the number of parts, printer types, and distribution locations.

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