Selection of Additive Manufacturing Machine Using Analytical Hierarchy Process

Abstract

3D printing or additive manufacturing (AM) is considered to be the most important technology among the emerging technologies. 3D printing technology is considered as an alternative to the conventional manufacturer machine traditionally used in the manufacturing sector. 3D printing technology is generally classified into seven types. Each type of 3D printing technology has its separate own uniqueness (i.e., operation, material usage, and no wastage). The price of a manufactured item includes all its costs. The most important of these is to take into account the price of the machine being manufactured and the features of the machine. Moreover, the price of the product produced in AM will depend on all the costs required to produce it. Then, it is possible to reduce the cost of the product by choosing the AMM that has significant features and the right price. Therefore, this paper aims to solve a decision-making problem from the AMM selection by using one of the multicriteria decision-making (MCDM) tools, i.e., analytical hierarchy process (AHP). This paper outcome is meant to meet the expectation of end-users. As an initial step, the Micro, Small, and Medium Enterprise (MSME) company gets quotations from some AM companies to choose a type of AM machine known FDM for its structure product and doll product. The first step is to select the most appropriate machines based on cost, size/volume, extruder type, and weight of the machine. Criteria for AHP are derived from decision-makers. Also, in AHP, the pair-wise matrix is obtained from the decision-makers by answering the standard Saaty’s scale criteria questions. In this paper, such a selection method is explored. The outcome of this paper may vary depending on the expectations of the decision-makers. The end of this paper helps to choose the AMM with the right price and features to suit the decision-makers.

[Retracted] Investigation on Interlaminar Shear Strength and Moisture Absorption Properties of Soybean Oil Reinforced with Aluminium Trihydrate‐Filled Polyester‐Based Nanocomposites

“…SEM was used to examine the nanocomposite morphologies at the broken interface (after ILSS) (Carl Zeiss, supra-55). The images back up the prior results that the composites had reduced permeability due to uniform fibre distribution [35]. Pull-outs of fibres and fibre packs result in surface holes that can be observed in SEM.…”

A Recent Trend on Additive Manufacturing Sustainability with Supply Chain Management Concept, Multicriteria Decision Making Techniques

“…Adoption of AM up to 2022. Alabi et al [29] wrote a review that the application of AM in South African universities and implement the different AM technologies in education [1,2]. Figure 4 shows the adoption of additive manufacturing up to the year 2022. is paper author detailed cover the topic of AM but the limitations of author miss the huge content of the application on AM and the author concentrate on proposed particular PG program.…”

“…Conventional manufacturing is safe from cybercrime as compared to AM. A lot of AM machines is used digital data for making the component [1,2] and it has cyber threats to weaken or destroy the component [38].…”

“…e AM process is having excellent geometrical flexibility and rapid manufacturing. But the research gap in AM process such as tooling, advantage based on only homogeneous material, and decisions making for choosing AM process [1,2,39]. e common key issues of the AM are, namely, occupational health, energy usage, lifecycle impact, and waste usage [40].…”

“…e AM method is completely di ers from the conventional method of manufacturing [1,2]. e rst edition of Gibson et al [3] book has described the development and application of AM based on the ASTM standard.…”