scholarly journals Six Sigma based Risk Identification and Mitigation Framework for Projects Execution

2012 ◽  
Vol 4 (2) ◽  
pp. 79-85
Author(s):  
Muhammad Usman Tariq
Keyword(s):  
Performance Improvement ◽  
Six Sigma ◽  
Business Processes ◽  
Risk Identification ◽  
Development Projects ◽  
Cause Analysis ◽  
Root Cause ◽  
Process Implementation ◽  
Proposed Model ◽  
Significant Performance

Six Sigma being a project management methodology is used in the industries and corporate sectors to substantiate goal of near perfection in process implementation and execution. It is based on the impetus of Plan-Do-Check-Act and has myriads of applications in numerous organizational and business processes to attain significant performance improvement in different industrial and corporate sectors including the IT sector. Despite realization of profuse maturity in many business processes, Six Sigma still lacks across-theboard framework for effective risk management because root cause analysis (RCA) is still the primary and principal technique used for handling risks in this methodology. In this paper, we have attempted to put forward a risk identification framework in order to improve quality and productivity of Six Sigma projects, particularly the IT development projects. The study also encompasses an abridged overview of the current methods being practiced for risk identification in Six Sigma. Our proposed model enlist a number of hypotheses for validation purposes and is duly evaluated and analyzed viz-à-viz DMAIC and DMADV approaches to make it compatible with QFD, FMEA and PMBOK requirements.

scholarly journals An Insight into Risk Identification, Quality and Productivity Enhancement using Six Sigma

2011 ◽  
Vol 2 (1) ◽  
pp. 24-33 ◽  
Author(s):  
Muhammad Usman Tariq
Keyword(s):  
Six Sigma ◽  
Critical Analysis ◽  
Business Processes ◽  
Academic Research ◽  
High Standard ◽  
Fortune 500 ◽  
Risk Identification ◽  
Fortune 500 Companies ◽  
Significant Performance ◽  
Insight Into

Six Sigma, with a myriad of its applications in numerous organizational and business processes, offers a project management methodology that supports achieving a goal of near perfection in process performance. Six Sigma is based on the impetus of Plan-Do-Check-Act can help industries, businesses and organizations to achieve significant performance improvement as most of the Fortune 500 companies have adopted Six Sigma (DeFeo & William, 2004). Six Sigma initiatives primarily entail DMAIC and DMADV methods for attaining a high standard of quality. In this paper we provide a critical analysis of the various Six Sigma applications, techniques and tools that can be used for improving quality and productivity of the organizations. The study also provides an insight into the methods used for risk identification in Six Sigma. The proposed techniques are evaluated and analyzed viz-a-viz DMAIC and DMADV approaches. The objective of this research is to summarize the existing level of research in the field of Six Sigma and highlighting the need for intensive academic research in this area. The study comparatively analyzes Six Sigma with Lean, QFD, PSP/TSP, FMEA, TPRM, AHP/ISS and PMBOK requirements. The study also highlights the prospective areas of future/further research in this discipline. The critical analysis of various techniques studied as part of this research reveals that Six Sigma is primarily beneficial for process improvement, risk identification and management etc. The critical analysis of this study is reported herein.

Information System Failures in Healthcare Organizations

2011 ◽  
pp. 231-236
Author(s):  
Pamela E. Paustian ◽  
Donna J. Slovensky ◽  
Jacqueline W. Kennedy
Keyword(s):  
Information System ◽  
Business Processes ◽  
Care Delivery ◽  
Care Facility ◽  
Health Care Facility ◽  
Healthcare Organizations ◽  
Cause Analysis ◽  
System Failures ◽  
Root Cause ◽  
Patient Care Delivery

Preparedness for response and continued operation of a health care facility following an information systems disaster must encompass two facets: continuation of patient care delivery and continuation of business processes. This chapter reports a root cause analysis following an information system failure that compromised the organization’s ability to capture clinical documentation for a 33-hour period.

scholarly journals Towards Integrating Six Sigma Approach: Service Level Agreement Measurement and Monitoring (A Malaysian It Outsourcing Case Study)

2021 ◽  
Vol 12 (3) ◽  
pp. 2191-2198
Author(s):  
Whee Yen Wong Et.al
Keyword(s):  
Six Sigma ◽  
Service Level Agreement ◽  
Value Added ◽  
Root Cause Analysis ◽  
Service Level ◽  
Cause Analysis ◽  
Root Cause ◽  
Long Run ◽  
Six Sigma Approach

Service Level Agreements (SLAs) are critical for outsourcing and technological related vendors companies. SLAsare the key requirements for outsourcing implementation and deployment as well as are the key differentiator in the service provider’s offerings industry. Over time, SLAs drive behaviors delivering a minimum level of service to the provider resultant in limited room in innovation and improvement in SLA arrangement and SLA contract renewal. As such, outsourcing companies may deem become a commodity, lacking strategic, innovative and value-added partner to the business. In long run, outsourcing companies face challenges with rapidly changing business requirements that drives business agility to stay competitive. The paper attempts to investigate a vendor IT Service Company accountable for continuous measurement and reporting of SLA activities where agreed-on service levels face challenges. This paper aims to evaluate the practical applicability of Six Sigma approach (i.e. DMAIC (Define, Measure, Analyze, Improve and Control)) as a result of root-cause-analysis; where everyone working on the problem(s) stays focus, drive towards a root cause analysis and eventually address the problem directly. The result of this case study revealed how Six Sigma approach has successfully improve the SLA achievements by identifying the significant factors contributing remedies or penalties towards SLA measurements.

scholarly journals Student risk identification learning model using machine learning approach

2019 ◽  
Vol 9 (5) ◽  
pp. 3872
Author(s):  
Susheelamma K. H. ◽  
K. M. Ravikumar
Keyword(s):  
Machine Learning ◽  
Imbalanced Data ◽  
Learning Model ◽  
Risk Identification ◽  
Learning Approach ◽  
Applied Machine Learning ◽  
Proposed Model ◽  
Machine Learning Approach ◽  
Significant Performance ◽  
Student Risk

<p class="Abstract">Several challenges are associated with online based learning systems, the most important of which is the lack of student motivation in various course materials and for various course activities. Further, it is important to identify student who are at risk of failing to complete the course on time. The existing models applied machine learning approach for solving it. However, these models are not efficient as they are trained using legacy data and also failed to address imbalanced data issues for both training and testing the classification approach. Further, they are not efficient for classifying new courses. For overcoming these research challenges, this work presented a novel design by training the learning model for identifying risk using current courses. Further, we present an XGBoost classification algorithm that can classify risk for new courses. Experiments are conducted to evaluate performance of proposed model. The outcome shows the proposed model attain significant performance over stat-of-art model in terms of ROC, F-measure, Precision and Recall.</p>

scholarly journals ANALISIS RISIKO KESELAMATAN KERJA PADA PROYEK PENGEMBANGAN BANDARA INTERNASIONAL JUANDA TERMINAL 2 SURABAYA

IKESMA ◽  
2017 ◽  
Vol 13 (2) ◽  
Author(s):  
Reny Indrayani
Keyword(s):  
Risk Assessment ◽  
Root Cause Analysis ◽  
Risk Identification ◽  
Occupational Accidents ◽  
Observational Research ◽  
Cross Sectional ◽  
Cause Analysis ◽  
Safety Issues ◽  
Overtime Work ◽  
Root Cause

The construction sector played an important role in development and was the biggest contributor of work accident rate in Indonesia. The aim of the research were to analyze human, methods, machines, materials, and environment element as cause of occupational accidents. This was a cross-sectional observational research conducted in October 2012 to March 2013. This research was carried out with several integrates stages which include risk identification, risk assessment and priorities formulation, root cause analysis, and ended by recommendations for controlling risk and hazard. Risk identificationshowed that there were 100 risks that couldthreaten the workers. The following categories were: 4% low risk categories, 48% moderate risk, 39% high risk, and 9% extreme risk. Through the Q sort technique obtained five priority safety issues: workers falling from height, electric shock, workers stung by material lifted, fires or explosions, and the scaffolding collapsed. Based on root cause analysis, it showed that the most likely root cause of the problems was dominated by the human factor such as: fatigue due to overtime work, lack of experience and understanding of the procedure, lack of awareness of the importance of the ocupational safety and health. Keywords: construstion,risk assessment, root cause.

A proposed hybrid root cause analysis technique for quality management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dharyll Prince Abellana
Keyword(s):  
Quality Management ◽  
Structural Model ◽  
Group Discussion ◽  
Root Cause Analysis ◽  
Cause Analysis ◽  
Content Type ◽  
Root Cause ◽  
Analysis Technique ◽  
Proposed Model ◽  
Cause And Effect Diagram

PurposeThis paper attempts to develop a hybrid cause and effect diagram (CED) and interpretative structural model (ISM) for root cause analysis in quality management. The proposed model overcomes the weakness of the CED in reliably articulating hierarchical cause–effect Relationships.Design/methodology/approachA focus group discussion (FGD) among quality experts in the case company to establish relationships between the determined causes.FindingsThe hybridization of the CED and ISM allowed the causes to be ordered more clearly to determine potential root causes as well as presenting these causes more comprehensively.Originality/valueThe paper has been one of the very few attempts to improve the CED approach. As such, this paper employs the ability of the ISM to order concepts in a hierarchical structure, which is useful in determining root causes.

The regulatory power of standardized business processes

2019 ◽  
Vol 25 (5) ◽  
pp. 1126-1144
Author(s):  
Julia A.M. Reif ◽  
Katharina G. Kugler ◽  
Felix C. Brodbeck
Keyword(s):  
Business Process ◽  
Business Process Management ◽  
Process Management ◽  
Business Processes ◽  
Implementation Process ◽  
Organizational Governance ◽  
Content Type ◽  
Social Perspectives ◽  
Process Implementation ◽  
Proposed Model

Purpose Managing business processes means establishing and maintaining their regulatory power, i.e., their capacity to guide and shape the practice of users and stakeholders. The purpose of this paper is to examine how the regulatory power of standardized business processes can be established and managed. Design/methodology/approach Building on a theory of standardization and on qualitative data, the authors suggest a “model of self-reinforcing business process management.” Findings Business process management consists of several phases (process design, process implementation, process application and process follow-up). A cyclical perspective on how these phases work together to create process legitimacy as presented in the model of self-reinforcing business process management can foster better understanding of the self-reinforcing dynamics of business process management. Research limitations/implications The paper offers starting points for interdisciplinary research on business process management. The proposed model should be further examined with regard to its usefulness for overcoming tensions and dynamics associated with standardization. Practical implications The model of self-reinforcing business process management provides a guideline for managers involved in planning, implementing, applying, or improving business processes or further areas of change-related organizational governance. Originality/value By modeling a cyclical sequence of business process management and highlighting the role of different kinds of legitimacy, the authors integrate functionalist and social perspectives on business process management in one model.

scholarly journals Implementasi metode Failure Mode and Effect Analysis pada Industri di Asia – Kajian Literature

2021 ◽  
Vol 21 (2) ◽  
pp. 165
Author(s):  
Tri Aprianto ◽  
Indra Setiawan ◽  
Humiras Hardi Purba
Keyword(s):  
Failure Mode ◽  
Six Sigma ◽  
Quality Function Deployment ◽  
Root Cause Analysis ◽  
Effect Analysis ◽  
Cause Analysis ◽  
Quality Function ◽  
Root Cause

FMEA adalah suatu alat yang secara sistematis mengidentifikasi akibat atau konsekuensi dari kegagalan sistem atau proses, serta mengurangi atau mengeliminasi peluang terjadinya kegagalan. Tujuan dari makalah ini adalah untuk mengidentifikasi mode kegagalan potensial dan dampaknya untuk meningkatkan keandalan dan keamanan sistem yang kompleks. Selain itu teknik ini juga berguna untuk mengumpulkan data yang dibutuhkan untuk pengambilan keputusan dan pengendalian risiko. FMEA merupakan sebuah alat yang diintegrasikan dengan banyak metode seperti Quality Function Deployment (QFD), Root Cause Analysis (RCA), Six Sigma, FTA, Fuzzy Kano dan tujuh alat dasar kualitas untuk mengatasi permasalahannya. Makalah ini melibatkan studi review dari 25 makalah di kawasan Asia yang terkait dengan implementasi alat FMEA. metodologi FMEA sekarang banyak digunakan di berbagai industri termasuk di industri manufaktur untuk mengembangkan produknya. Selain itu FMEA juga sering ditemukan dalam analisis kegagalan di industri jasa, layanan makanan, maupun di industri kesehatan. Makalah ini memuat hasil dari berbagai aspek yang berbeda. Aspek itu meliputi fokus industri, fokus jumlah distribusi menurut negara dan fokus tahun publikasi. Makalah ini bermanfaat bagi semua jenis sektor industri untuk menngidentifikasi mode kegagalan dan dampaknya serta untuk pengendalian resiko. Makalah ini juga memberikan keuntungan bagi peneliti selanjutnya untuk menambah wawasan dan referensi untuk studi terkait alat FMEA.

Heterogeneous Weighted Voting-Based Ensemble (HWVE) for Root-Cause Analysis

2020 ◽  
Vol 13 (4) ◽  
pp. 63-74
Author(s):  
Blessy Selvam ◽  
Ravimaran S. ◽  
Sheba Selvam
Keyword(s):  
Root Cause Analysis ◽  
Training Data ◽  
Huge Number ◽  
Weighted Voting ◽  
Cause Analysis ◽  
Aspect Extraction ◽  
Root Cause ◽  
Proposed Model ◽  
Identification Phase ◽  
F Measure

Root-cause analysis has been one of the major requirements of the current information-rich world due to the huge number of opinions available online. This paper presents a heterogeneous weighted voting-based ensemble (HWVE) model for root-cause analysis. The proposed model is composed of an aspect extraction and filtering module, a model-based sentiment identification module, and a ranking module. Domain-based aspect ontologies are created using the available training data and is used for categorization. The input data is passed to the HWVE model for opinion identification and is in-parallel passed to the significance identification phase for aspect identification. The identified aspects are combined with their corresponding sentiments and ranked based on their ontological occurrence levels to provide the final categorized root-causes. Experiments were performed with the five-product dataset, and comparisons were performed with recent models. Results indicate that the proposed model exhibits improved performances of 5%-13% in terms of F-measure when compared to other models.

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