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THE JOURNAL OF INDUSTRIAL TECHNOLOGY


Volume 16, No. 01, Month JANUARY, Year 2020, Pages 15 - 30


Multi-criteria decision analysis-based orientation selection problem for integrated 3d printing and subtractive manufacturing

Kasin Ransikarbum


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This study examines the orientation selection problem for the three-dimensional printing (3DP) and subtractive manufacturing technologies by comparing the 3D Fused Deposition Modeling (FDM), the 3D Stereolithography (SLA), and the lathe machine for assembly part production. Whereas materials used for 3D FDM are Acrylonitrile-Butadiene-Styrene (ABS) and Polylactic Acid (PLA) thermoplastics and material used for 3D SLA is resin; the material used for lathe machine is solid ABS. The orientation directions analyzed for 3DP assembly parts are from 0 degrees, 45 degrees, 90 degrees, and 180 degrees, respectively. Data are then collected for the comparative study from various criteria, which are consumed material, production time, production cost, support material, production accuracy, assembly, and surface quality. Then, we use the multi-criteria decision analysis (MCDA) techniques by starting with the Data Envelopment Analysis (DEA) to analyze the relative efficiency of each manufacturing technology group and each material type. Then, multiple factors are analyzed using the Analytic Hierarchy Process (AHP) to assess the criteria weight based on the preference of a decision-maker. The Linear Normalization analysis is then later used to find the best alternative of orientation direction. The results show that production orientation with 0 degrees provides the best orientation alternative superior in terms of minimal consumed material, production cost, and support material. In addition, dissimilar technologies are found to affect production criteria and preferences from decision-makers are also found to impact how the production alternatives are ranked.


Keywords

Three-Dimensional Printing, Orientation Selection Problem, Multi-Criteria Decision Analysis, Data Envelopment Analysis, Analytic Hierarchy Process, Linear Normalization



THE JOURNAL OF INDUSTRIAL TECHNOLOGY


Published by : Research and Academic Supports Division College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
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