scholarly journals Maintenance Preventive Analysis in Additive Manufacturing Equipment using Analytic Hierarchy Process

2021 ◽  
Author(s):  
Pablo Ayala ◽  
Hugo Francisco López Herrera
Keyword(s):  
Analytic Hierarchy Process ◽  
Manufacturing System ◽  
Multicriteria Decision Making ◽  
Integrated Approach ◽  
Preference Ranking ◽  
3D Printer ◽  
Analytic Hierarchy ◽  
Manufacturing Equipment ◽  
Hierarchy Process

Abstract Maintenance preventive (PM) on equipment is a very important issue for an effective manufacturing system, since the improper MP might cause many problems affecting productivity, precision, flexibility and quality of the products negatively. On the other hand, analysis of MP equipment among many alternatives can be a multicriteria decision making (MCDM) problem. In this study, an integrated approach which employs analytic hierarchy process (AHP) and preference ranking elements, is proposed for the MP equipment of 3D printer machine. The AHP is used to analyze the structure of the equipment problems and to determine weights of the criteria, and this method is used to obtain final ranking. Proposed approach is applied to a problem of 3D printer machines to be established a MP strategy.

scholarly journals Construction of Consistent Comparison Matrix by Macharis’ Method Revisit

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yi-Fong Lin
Keyword(s):  
Recent Article ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Original Design ◽  
Analytic Hierarchy ◽  
New Approach ◽  
Comparison Matrix ◽  
Famous Paper ◽  
Hierarchy Process ◽  
Original Construction

A famous paper that has been cited more than four hundred times tried to combine (a) the preference ranking organization method for enrichment evaluations (PROMETHEE) and (b) the analytic hierarchy process (AHP) to construct a new method for multicriteria decision-making problems. The paper developed a consistent comparison matrix for their AHP by the defined first row and then they allowed the expert to change several entries in the comparison matrix. Hence, how to construct a new comparison matrix that is (i) consistent and (ii) satisfying the assigned values by the expert becomes a challenging problem. A recent article provided a reply to the above problem by the construction of all entries for the comparison matrix. However, they did not follow the original design proposed by the famous paper. In this paper, we present a new approach with a proposition that satisfies the original design of the famous paper and also achieves two goals (i) and (ii). The research gap of proof is fulfilled by this paper. Our findings explain that the original construction of the famous paper to develop a consistent comparison matrix only by the first row with several assigned values by an expert is indeed workable under two additional restrictions proposed by the recent article. We believe that after our proposition, researchers have the confidence to execute the original design of the paper that has been cited more than four hundred times.

A Novel Approach to Evaluate the Stability of Production Manufacturing System Based on Petri-Net and Analytic Hierarchy Process

2012 ◽  
Vol 605-607 ◽  
pp. 336-340
Author(s):  
Hou Xing You
Keyword(s):  
Analytic Hierarchy Process ◽  
Petri Net ◽  
Manufacturing System ◽  
New Method ◽  
System Stability ◽  
Production Factor ◽  
Analytic Hierarchy ◽  
The Stability ◽  
Whole Life Cycle ◽  
Hierarchy Process

In the whole life cycle of production process, the stability of production manufacturing system is an important production factor. However, there were a few researches about the system stability in the past years. In this paper, for the stability of production manufacturing system, a new method is proposed based on Petri-net and analytic hierarchy process. In the proposed method, the reachability of manufacturing system is judged by using Petri-net, and the system stability is calculated by the successful probability of the key production nodes. Finally, evaluation steps of the new method are given, and the new evaluation method is applied in case study.

An Evaluation System for IT Outsourcing Customer Satisfaction Using the Analytic Hierarchy Process

2008 ◽  
pp. 1219-1235
Author(s):  
Yong Ki Yoon ◽  
Kun Shin Im
Keyword(s):  
Customer Satisfaction ◽  
Analytic Hierarchy Process ◽  
Evaluation System ◽  
It Outsourcing ◽  
Analytic Hierarchy ◽  
Literature Reviews ◽  
Customer Satisfaction Evaluation ◽  
Satisfaction Evaluation ◽  
Hierarchy Process

Many companies recently have been choosing information technology (IT) outsourcing in response to complicated information systems and various internal requirements. In order to monitor and maintain a high quality of IT outsourcing vendors’ services, it is necessary to develop a system to evaluate IT outsourcing customer satisfaction. The system can be used as a tool for choosing IT outsourcing providers. Through the literature reviews and expert interviews, we propose the evaluation system of the IT outsourcing customer satisfaction. Using AHP (analytic hierarchy process) technique, attributes associated with customer satisfaction in IT outsourcing environments are then rated in terms of their importance. The customer satisfaction evaluation system is applied to IT outsourcing service receivers in Korea to demonstrate its practical implications.

scholarly journals A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oluseye Adewale Adebimpe ◽  
David G. Proverbs ◽  
Victor Oluwasina Oladokun
Keyword(s):  
Analytic Hierarchy Process ◽  
Integrated Approach ◽  
Quantitative Approach ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Individual Property ◽  
Content Type ◽  
Sea Levels ◽  
Qualitative Approaches ◽  
Hierarchy Process

PurposeRecent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.Design/methodology/approachA synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.FindingsThe implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.Social implicationsThe methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.Originality/valueWhereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.

scholarly journals Sustainable Urban Transport Planning Considering Different Stakeholder Groups by an Interval-AHP Decision Support Model

2018 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
Omid Ghorbanzadeh ◽  
Sarbast Moslem ◽  
Thomas Blaschke ◽  
Szabolcs Duleba
Keyword(s):  
Analytic Hierarchy Process ◽  
Public Transportation ◽  
Pairwise Comparison ◽  
Urban Transport ◽  
Preference Ranking ◽  
Decision Support Model ◽  
Analytic Hierarchy ◽  
Stakeholder Groups ◽  
User Groups ◽  
Hierarchy Process

Sustainable urban transport requires smart and environmentally-friendly technical solutions. It also needs to meet the demands of different user groups, including current and potential future users, in order to avoid opposition of the citizens and to support sustainable development decisions. While these requirements are well-known, conducting full surveys of user needs and preferences are tedious and costly, and the interests of different user groups may be contradictory. We therefore developed a methodology based on the prevalent Analytic Hierarchy Process (AHP), which is capable of dealing with the inconsistencies and uncertainties of users’ responses by applying an Interval Analytic Hierarchy Process (IAHP) through comparing the results of passengers to reference stakeholder groups. For a case study in Mersin, a coastal city in southern Turkey with 1.7 Million inhabitants, three groups were surveyed with questionnaires: 40 users of the public transport system, 40 non-users, and 17 experts. Based on interval pairwise comparison matrices, consisting of whole judgments of all groups, the IAHP methodology could attain a consensual preference ranking for a future public transportation system between the three groups. A sensitivity analysis revealed that the factor ranking was very stable.

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