A New Model for Maintenance Strategy Based on Failure Analysis and Multicriteria Approach

2020 ◽  
Vol 12 (4) ◽  
pp. 60-90
Author(s):  
Gianpaolo Di Bona ◽  
Domenico Falcone ◽  
Antonio Forcina ◽  
Alessandro Silvestri ◽  
Luca Silvestri
Keyword(s):  
Production System ◽  
Economic Losses ◽  
Analytic Hierarchy ◽  
New Approach ◽  
Support Tool ◽  
Industrial Plants ◽  
New Model ◽  
Main Factors ◽  
Hierarchy Process ◽  
Maintenance Plan

An effective maintenance plan allows one to minimize failures and to ensure the proper functioning of machines in order to obtain the estimated production system performances. On the other hand, inadequate maintenance can cause faults such as a decrease of production levels, compromising customer satisfaction and resulting in economic losses. In the present research, a new model is proposed to develop a support tool for maintenance design. The new approach is focused to the adequate distribution of maintenance budget to units and machines of a production system. It is based on the main factors determining availability of equipment thanks to appropriate indexes, adjusted through a multi-criteria method, the analytic hierarchy process (AHP). The obtained results can support the budget allocation to maintenance activities, right for machines or units that are strategic to ensure production. The model has been validated through the application to three different industrial plants.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

Comparison of Judgment Scales of the Analytical Hierarchy Process — A New Approach

2019 ◽  
Vol 18 (02) ◽  
pp. 445-463 ◽  
Author(s):  
Klaus D. Goepel
Keyword(s):  
Analytical Hierarchy Process ◽  
Analytic Functions ◽  
Decision Problem ◽  
Decision Criteria ◽  
Maximum Weight ◽  
Analytic Hierarchy ◽  
New Approach ◽  
Scale Functions ◽  
Decision Method ◽  
Hierarchy Process

The analytic hierarchy process (AHP) remains a popular multi-criteria decision method. One topic under discussion of AHP is the use of different scales to translate judgments into ratios. The author makes a new approach to compare different scale functions and to derive a recommendation for the application of scales. The approach is based on simple analytic functions and takes into consideration the number of criteria of the decision problem. A generalization of the so-called balanced scale is proposed, and a new adaptive-balanced scale is introduced. Scales are then categorized and compared based on weight boundaries and weight ratios, weight uncertainties, weight dispersion and number of decision criteria. Finally, a practical example of a decision hierarchy is presented applying the different scales. The results show that the generalized balanced scale improves weight dispersion and weight uncertainty in comparison to the fundamental AHP scale. The proposed adaptive-balanced scale overcomes the problem of a change of the maximum weight depending on the number of decision criteria.

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.

scholarly journals A MULTI-CRITERIA FRAMEWORK FOR OFFICE TENANTS' PREFERENCES AT OFFICE BUILDINGS

2015 ◽  
Vol 19 (3) ◽  
pp. 271-282 ◽  
Author(s):  
Yasmin Mohd ADNAN ◽  
Md Nasir DAUD ◽  
Muhammad Najib MOHAMED RAZALI
Keyword(s):  
Office Buildings ◽  
City Centre ◽  
Relative Importance ◽  
Kuala Lumpur ◽  
Financial Cost ◽  
Analytic Hierarchy ◽  
Office Space ◽  
Main Factors ◽  
Hierarchy Process ◽  
Business Sectors

In order to mitigate the anticipated oversupply of office space, it is necessary to gauge the preference of office occupiers, namely tenants of purpose built office buildings, since these tenants form the indicator of demand for space. In this study, a multi-criteria decision making method (MCDM) – the Analytic Hierarchy Process (AHP) procedure was employed to analyse the relative importance of the main factors chosen by the main sectors of tenants at top grade office buildings in Kuala Lumpur city centre. This study had identified the elicitation of experts’ opinion and tenants’ selection comprises twenty-six important factors for office occupation in Kuala Lumpur city centre, grouped under four main categories: Location, Lease, Building and Financial/Cost. This study then employed AHP to assess the relative importance placed on each category, revealing the varying patterns of preferences when tested on tenants from three main business sectors occupying top grade office buildings. The findings showed that, between the three sectors (Finance/Banking, ICT & Media and Oil & Gas), differences in preference were only slight for most factors but were significant for a few. The findings from this study are insightful in informing decisions on future office provision, particularly in the context of working towards satisfying office tenants’ requirements.

A Disaster Risk Management Performance Index to Assess Safety and Security in Industrial Plants

2016 ◽  
Vol 841 ◽  
pp. 373-378 ◽  
Author(s):  
Fabio de Felice ◽  
Antonella Petrillo ◽  
Federico Zomparelli
Keyword(s):  
Risk Management ◽  
Performance Index ◽  
Integrated Approach ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Management Performance ◽  
Analytic Hierarchy ◽  
Industrial Plants ◽  
Hierarchy Process

The goal of the research is to present an integrated approach that combines multi criteria analysis and disaster and emergency management. The study is based on a well know multi criteria technique, the Analytic Hierarchy Process (AHP). An AHP model is proposed in order to define a Disaster Risk Management Performance Index (DRMPI) that quantifies the performance and effectiveness of risk management to evaluate emergency alternative problems. This model is implemented in a real case study.

Developing a new model for selecting public relations firms in the high‐tech industry

2006 ◽  
Vol 1 (2) ◽  
pp. 156-172 ◽  
Author(s):  
Pi‐Fang Hsu
Keyword(s):  
Public Relations ◽  
Relationship Maintenance ◽  
High Tech ◽  
Analytic Hierarchy ◽  
High Tech Industry ◽  
Content Type ◽  
New Model ◽  
Proposed Model ◽  
Grey Relational ◽  
Hierarchy Process

PurposeThis study develops a new model for selecting public relations (PR) firms based on high‐tech industrial perceptions.Design/methodology/approachThe proposed model comprises two parts. The first part employs the analytic hierarchy process (AHP) for criteria weighting. The second part applies the grey relational analysis (GRA) to rank alternatives and select the optimum PR firm in the high‐tech industry.FindingsAnalytical results indicate that high‐tech enterprises consider criteria in the following order of priority: media ability, campaign ability, strategic planning, service team, cost consciousness and relationship maintenance. Furthermore, this study uses the example of a renowned high‐tech communications manufacturer in Taiwan to demonstrate the effectiveness of the model in PR firm selection.Originality/valueThe proposed model helps high‐tech enterprises to effectively select PR firms, making it highly applicable in academia and commerce.

scholarly journals Modeling Group Perceptions Using Stochastic Simulation: Scaling Issues in the Multiplicative AHP

2016 ◽  
Vol 15 (02) ◽  
pp. 453-474 ◽  
Author(s):  
Michael Bruhn Barfod ◽  
Robin van den Honert ◽  
Kim Bang Salling
Keyword(s):  
Decision Support ◽  
Stochastic Simulation ◽  
Scale Parameter ◽  
Probability Distributions ◽  
Interval Estimate ◽  
Analytic Hierarchy ◽  
New Approach ◽  
Group Perceptions ◽  
Modeling Group ◽  
Hierarchy Process

This paper proposes a new decision support approach for applying stochastic simulation to the multiplicative analytic hierarchy process (AHP) in order to deal with issues concerning the scale parameter. The paper suggests a new approach that captures the influence from the scale parameter by making use of probability distributions. Herein, the uncertainty both with regard to the scale and the inherent randomness from the parameter is captured by probabilistic input and output distributions. Provided that each alternative and criteria under consideration are independent it is assumed that the embedded uncertainty from the progression factors remains the same. The result is then an interval estimate for each alternative’s final scores. This can lead to overlapping intervals of scores which may be interpreted as possible rank reversals. Thus, the decision support approach makes it possible to calculate the probability of overlapping for any given set of pairwise comparisons.

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