The Error Analysis for Enterprise Software Application Using Analytic Hierarchy Process and Supervised Learning: A Hybrid Approach on Root Cause Analysis

2020 ◽  
pp. 633-643
Author(s):  
Hoo Meng Wong ◽  
Sagaya Sabestinal Amalathas
Keyword(s):  
Error Analysis ◽  
Analytic Hierarchy Process ◽  
Supervised Learning ◽  
Hybrid Approach ◽  
Enterprise Software ◽  
Analytic Hierarchy ◽  
Cause Analysis ◽  
Software Application ◽  
Root Cause ◽  
Hierarchy Process

scholarly journals The Root Cause Analysis Algorithm Design Incorporated with Analytic Hierarchy Process for Software Application Error

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Hoo Meng Wong ◽  
Sagaya Sabestinal Amalathas
Keyword(s):  
Root Cause Analysis ◽  
Logic Model ◽  
Analysis Approach ◽  
Time Duration ◽  
Analytic Hierarchy ◽  
Cause Analysis ◽  
Software Application ◽  
Root Cause ◽  
Event Log ◽  
Hierarchy Process

Software application normally comes along with its event logging feature today. However, with only the software application event log would be hard to determine the root cause if the error occurs beyond the software application boundary. In such circumstance, the time duration of conducting the root cause analysis activity will be easily prolonged. In order to identify the root cause more effectively, multiple event log files from different boundaries that are involved with software application such as Operating System, Networking, Middleware, Database Management System and etc are required. Therefore it will add additional complexity to the root cause analysis process. With such challenge, a new analysis approach is proposed. This new analysis approach is a logic model incorporated with Analytic Hierarchy Process (AHP). It will be sitting at the logic tier to conduct the analysis without interferes the existing software application. The objectives of the logic model is not only to mitigate the time duration prolonging on root cause analysis activity. It is also to increase the accuracy of identifying the actual root cause during analysis activity. Furthermore, this proposed logic model contributes the new knowledge of analysis approach which helps to close the existing knowledge gap in AHP, that can be applied for software application root cause analysis.

scholarly journals Investigation of Lab Fire Prevention Management System of Combining Root Cause Analysis and Analytic Hierarchy Process with Event Tree Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Cheng-Chan Shih ◽  
Richard S. Horng ◽  
Shin-Ku Lee
Keyword(s):  
Analytic Hierarchy Process ◽  
Fire Prevention ◽  
Event Tree ◽  
Prevention Strategies ◽  
Event Tree Analysis ◽  
Analytic Hierarchy ◽  
Cause Analysis ◽  
Tree Analysis ◽  
Root Cause ◽  
Hierarchy Process

This paper proposed a new approach, combining root cause analysis (RCA), analytic hierarchy process (AHP), and event tree analysis (ETA) in a loop to systematically evaluate various laboratory safety prevention strategies. First, 139 fire accidents were reviewed to identify the root causes and draw out prevention strategies. Most fires were caused due to runaway reactions, operation error and equipment failure, and flammable material release. These mostly occurred in working places of no prompt fire protection. We also used AHP to evaluate the priority of these strategies and found that chemical fire prevention strategy is the most important control element, and strengthening maintenance and safety inspection intensity is the most important action. Also together with our surveys results, we proposed that equipment design is also critical for fire prevention. Therefore a technical improvement was propounded: installing fire detector, automatic sprinkler, and manual extinguisher in the lab hood as proactive fire protections. ETA was then used as a tool to evaluate laboratory fire risks. The results indicated that the total risk of a fire occurring decreases from 0.0351 to 0.0042 without/with equipment taking actions. Establishing such system can make Environment, Health and Safety (EH&S) office not only analyze and prioritize fire prevention policies more practically, but also demonstrate how effective protective equipment improvement can achieve and the probabilities of the initiating event developing into a serious accident or controlled by the existing safety system.

A Novel Application of a Hybrid Delphi-Analytic Hierarchy Process (AHP) Technique

2014 ◽  
Vol 5 (1) ◽  
pp. 52-75 ◽  
Author(s):  
Yasanur Kayikci ◽  
Volker Stix ◽  
Larry J. LeBlanc ◽  
Michael R. Bartolacci
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Raw Materials ◽  
Hybrid Approach ◽  
Strategic Alignment ◽  
Supply Chain Collaboration ◽  
Analytic Hierarchy ◽  
Environmentally Conscious ◽  
Technical Risk ◽  
Hierarchy Process

This research studies heterarchical collaboration in logistical transport. Specifically, it utilizes a hybrid Delphi-Analytic Hierarchy Process (AHP) approach to explore the relevant criteria for the formation and maintenance of a strategic alignment for heterarchical transport collaboration. The importance of this work is that it applies a novel hybrid approach for identifying criteria for success to a little-studied form of supply chain collaboration: heterarchical collaborative transport. The criteria for this form of collaboration identified by the application of Delphi-AHP include ones from the technical, risk, financial, organizational, and operational categories. This novel application of the hybrid approach leveraged the expertise of transportation collaboration experts from the U.K., France, Canada, Sweden, the Netherlands, and Italy to identify key criteria for a strategic alignment between heterarchical collaboration partners. Such collaborative initiatives are important in industry as an environmentally conscious, yet efficient and effective strategy for the transport of raw materials and finished products in the supply chain.

Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach

2017 ◽  
Vol 23 (1) ◽  
pp. 196-222 ◽  
Author(s):  
Giustina Secundo ◽  
Donato Magarielli ◽  
Emilio Esposito ◽  
Giuseppina Passiante
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
High Tech ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation. Design/methodology/approach A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context. Findings The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection. Research limitations/implications Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria. Practical implications Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality. Originality/value The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

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