Application of AHP, Fuzzy AHP and PROMETHEE Method in Solving Additive Manufacturing Process Selection Problem

Peko, Ivan; Gjeldum, Nikola; Bilić, Boženko

doi:10.17559/tv-20170124092906

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…Various criteria were considered in the study such as layer thickness, resolution, roughness, minimum feature size, speed, aspect ratio, strength, material compatibility, cost and geometrical complexity. Similarly, Peko et al (2018) used AHP, fuzzy AHP and preference ranking organisation method (PROMETHEE) techniques for ranking photopolymer jetting, FDM, SLS and 3D printing and found photopolymer jetting as the best alternative. Zaman et al (2018) studied integrated product-process design (IPPD) for selection of appropriate material, method and machine for the AM process using AHP and simple additive weighting (SAW).…”

Section: Literature Reviewmentioning

confidence: 99%

Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Chandra

Shahab

Vimal

et al. 2022

RPJ

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Purpose In the present scenario, the demand for additive manufacturing (AM) has increased. Taking into account environmental problems and sustainability, manufacturers are now also considering the environmental and sustainability criteria in their decision-making process. The sustainability concept is known as the triple-bottom line, namely, economic, social and environmental perspectives. Sustainable concept selection in the manufacturing organisation can be considered as the selection of sustainable material, product design, process, method and technology. This study aims to select an appropriate AM process by considering sustainability from various available techniques. Design/methodology/approach Appropriate sustainable performance indicators for the AM were identified based on literature as well as in discussion with experts and decision-makers. The model addresses all the major dimensions of sustainable concepts of AM such as material/product quality, machine performance, market stability, total cost and ecological values. A hybrid multi-criteria decision-making approach, i.e. stepwise weight assessment ratio analysis and complex proportional assessment methods, have been used to select the best AM technique. While selecting criteria affecting AM machines and processes, criteria based on the sustainable concept are considered. Findings Among the four selected AM processes, i.e. fused diffusion modelling (FDM), laminated object manufacturing (LOM), stereolithography apparatus (SLA) and selective laser sintering (SLS), the best alternative was found to be FDM. Research limitations/implications The present study highlights some limitations in the selection of AM process and methodology used in this research. This study considers only four AM processes, i.e. FDM, LOM, SLA and SLS. Future work may include considering other AM processes and criteria that affect the sustainability of AM. Practical implications The present work will help researchers and production managers to decide the best AM alternatives to fabricate desired parts. Hence, AM can help in maximum energy utilisation, optimal consumption of resources, minimum material wastage and reduction of CO2 emission. Originality/value The study considers some important criteria, including energy consumption, eco-friendly and wastage-free production, that help sustainable AM. This study can result in a good economic efficiency of AM industries and, therefore, positively impact customers using green products.

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Section: Literature Reviewmentioning

confidence: 99%

Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Chandra

Shahab

Vimal

et al. 2022

RPJ

View full text Add to dashboard Cite

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“…The AHP helps decision-makers to organise the critical aspects of a problem into a hierarchical structure similar to a family tree; it connects all the levels of the hierarchy, which helps to clarify how changing one criterion might affect other alternatives and criteria; and it starts with pairwise comparison matrices and is based on experts' judgements [21][22][23].…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

An Multi-Criteria Decision-Making Based Course Assessment Framework: Development and Application

Aburas

Batarfi²,

Bahshwan³

et al. 2022

SAJIE

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Evaluation of the educational process is essential to its development and improvement. This paper aims to create a model for evaluating students’ satisfaction with industrial engineering courses using Multi-Criteria Decision-Making (MCDM) tools. The research began with a course evaluation data survey with 28 questions (variables). Then the assessment model was proposed, based on the previously collected data. The suggested assessment model identified the constructs using exploratory factor analysis (EFA). Then the extracted variables and the resulting constructs were prioritised using the analytic hierarchy process (AHP). Next, a structured local questionnaire was drawn up and distributed to industrial engineering students at a Saudi university to validate the developed model. After that, the suggested framework was applied to the data to assess the students’ overall satisfaction with the course. Finally, it was found that the Operations Research Track, of the five current tracks, scored the highest satisfaction rate. This study’s results could be helpful in knowing the importance of MCDM in the evaluation process, as it distinguishes the value of students’ evaluations for the development and growth of the evaluation of educational courses. Keywords Analytic Hierarchy Process (AHP), Course Evaluation Framework, Exploratory Factor Analysis (EFA), Multi-Criteria Decision Making (MCDM)

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“…Fuzzy AHP was used to calculate the weights of each selected criterion while the PROMETHEE method was used for ranking the tasks. Peko et al [6] showed the conduction of three different methods (AHP, Fuzzy AHP and PROMETHEE) to choose an appropriate additive manufacturing process. By comparing the results of each method, it is apparent that all methods gave the same rank of observed alternatives.…”

Section: Introductionmentioning

confidence: 99%

Two-stage product design selection by using PROMETHEE and Taguchi method: A case study

Crnjac¹,

Aljinović²,

Gjeldum³

et al. 2019

Adv produc engineer manag

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The main goal of this paper was to introduce the methodology for product design selection. The proposed methodology combines two classical methods to find the most appropriate design for the new product, through a reduced number of alternatives (product variants) and experiments for the selection process. In the first stage, the multi-criteria decision-making method, PRO-METHEE was used for selecting the most suitable design, according to the chosen preferences and criteria. In the second stage, the Taguchi method was used in order to define the most appropriate parameters for selected suitable design. The fundamental scientific contribution of this paper refers to a benefit introduced by combining these methods. This benefit is related to the reduction of product development time which has a significant effect on manufacturing process time due to the high market pressure. The proposed methodology was applied to find the appropriate table design for CNC milling machine located in the Lean Learning factory. However, this is just one case study to present the proposed methodology which can be applied for other optimization of other product designs. Before applying the proposed methodology for this case study, the methodology is validated on a simple example.

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Application of AHP, Fuzzy AHP and PROMETHEE Method in Solving Additive Manufacturing Process Selection Problem

Cited by 8 publications

References 7 publications

Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

Selection for additive manufacturing using hybrid MCDM technique considering sustainable concepts

An Multi-Criteria Decision-Making Based Course Assessment Framework: Development and Application

Two-stage product design selection by using PROMETHEE and Taguchi method: A case study

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