Reliability Analysis A Tool Set for. Aron Brall



Similar documents
3.0 Risk Assessment and Analysis Techniques and Tools

PROJECT RISK MANAGEMENT

Risk Assessment for Medical Devices. Linda Braddon, Ph.D. Bring your medical device to market faster 1

Controlling Risks Risk Assessment

FMEA and FTA Analysis

Testing Metrics. Introduction

Risk Management Primer

CPM -100: Principles of Project Management

Negative Risk. Risk Can Be Positive. The Importance of Project Risk Management

Risk Management approach for Cultural Heritage Projects Based on Project Management Body of Knowledge

Motivations. spm adolfo villafiorita - introduction to software project management

Effective Root Cause Analysis For Corrective and Preventive Action

Edwin Lindsay Principal Consultant. Compliance Solutions (Life Sciences) Ltd, Tel: + 44 (0) elindsay@blueyonder.co.

The purpose of Capacity and Availability Management (CAM) is to plan and monitor the effective provision of resources to support service requirements.

Design Failure Modes and Effects Analysis DFMEA with Suppliers

Failure Analysis Methods What, Why and How. MEEG 466 Special Topics in Design Jim Glancey Spring, 2006

Quality Risk Management

Six Sigma Acronyms. 2-1 Do Not Reprint without permission of

Quality Risk Management Tools Quality Risk Management Tool Selection When to Select FMEA: QRM Tool Selection Matrix

TOPIC 8 QUALITY OBJECTIVE. Quality

The Analysis of Quality Escapes in the Aerospace & Defense Industry

Supplier Training 8D Problem Solving Approach Brooks Automation, Inc.

Corrective and Preventive Action Background & Examples Presented by:

Information Technology Engineers Examination. Information Technology Service Manager Examination. (Level 4) Syllabus

Appendix 3 (normative) High level structure, identical core text, common terms and core definitions

Risk/Issue Management Plan

Lean Six Sigma Training The DMAIC Story. Unit 6: Glossary Page 6-1

CE Disclosure. Potential Failure and RCA 7/2/2014

Upon completion of this activity, the participant should be able to:

Bb 2. Targeting Segmenting and Profiling How to generate leads and get new customers I N S I G H T. Profiling. What is Segmentation?

Product Excellence using 6 Sigma (PEUSS)

Brillig Systems Making Projects Successful

University of Paderborn Software Engineering Group II-25. Dr. Holger Giese. University of Paderborn Software Engineering Group. External facilities

Vendor Audit and Cost Recovery: Improving Bottom Line Results WHITE PAPER

PBS Professional Job Scheduler at TCS: Six Sigma- Level Delivery Process and Its Features

FMEA Failure Risk Scoring Schemes

Analyzing Risks in Healthcare. February 12, 2014

Human Error and Safety Federal Aviation Human Error and Safety Administration Risk Analysis HESRA

Software Quality. Unit 2. Advanced techniques

Improved Utilization of Self-Inspection Programs within the GMP Environment A Quality Risk Management Approach

Purchasing Success for the Service Sector: Using Lean & Six Sigma.

Specialists in Strategic, Enterprise and Project Risk Management. PROJECT RISK MANAGEMENT METHODS Dr Stephen Grey, Associate Director

Learning from Our Mistakes with Defect Causal Analysis. April Copyright 2001, Software Productivity Consortium NFP, Inc. All rights reserved.

Quality Risk Management Understanding and Control the Risk in Pharmaceutical Manufacturing Industry

A Risk Management Standard

ENTERPRISE MANAGEMENT AND SUPPORT IN THE TELECOMMUNICATIONS INDUSTRY

Media fills Periodic performance qualification (Re-Validation)

FUNBIO PROJECT RISK MANAGEMENT GUIDELINES

Root cause analysis. Chartered Institute of Internal Auditors

How can you support RIDM/CRM/RM through the use of Risk Analysis

RISK MANAGEMENT FOR INFRASTRUCTURE

Appendix V Risk Management Plan Template

Software Engineering Compiled By: Roshani Ghimire Page 1

Lean Six Sigma Black Belt Body of Knowledge

Statistical Tune-Up of the Peer Review Engine to Reduce Escapes

QUALITY RISK MANAGEMENT (QRM): A REVIEW

Continuous Risk Management at NASA

Housekeeping. Emergency Exits. Cell phones. Bathrooms. Breaks. Introductions. Risk Management Art or Science?

Accident Investigation

PROJECT QUALITY MANAGEMENT

Training As a Root Cause

Guidance for Industry: Quality Risk Management

Fundamentals of Measurements

Unit 1: Introduction to Quality Management

Foundation of Quantitative Data Analysis

Basic Securities Reconciliation for the Buy Side

Simulation and Lean Six Sigma

Guidance for Industry

IT Project Management Methodology. Project Risk Management Guide. Version 0.3

CHAPTER 1 THE CERTIFIED QUALITY ENGINEER EXAM. 1.0 The Exam. 2.0 Suggestions for Study. 3.0 CQE Examination Content. Where shall I begin your majesty?

Body of Knowledge for Six Sigma Green Belt

Operations, Maintenance, and Commissioning

EuroRating credit rating agency

QA GLP audits. Alain Piton. Antipolis,, France.

Tools & Techniques for Process Improvement

Title: Basic Principles of Risk Management for Medical Device Design

PMI Risk Management Professional (PMI-RMP ) - Practice Standard and Certification Overview

Chapter 4 SUPPLY CHAIN PERFORMANCE MEASUREMENT USING ANALYTIC HIERARCHY PROCESS METHODOLOGY

The Software Development Life Cycle: An Overview. Last Time. Session 8: Security and Evaluation. Information Systems Security Engineering

QUALITY RISK MANAGEMENT

Process Failure Modes and Effects Analysis PFMEA for Suppliers

Estimating Software Reliability In the Absence of Data

Risk Assessment and Management. Allen L. Burgenson Manager, Regulatory Affairs Lonza Walkersville Inc.

Measurement and Metrics Fundamentals. SE 350 Software Process & Product Quality

MEASURING FOR PROBLEM MANAGEMENT

Risk Analysis and Quantification

ITIL A guide to incident management

CS 451 Software Engineering Winter 2009

Business Analysis Capability Assessment

Designing an Effective Risk Matrix

By Geoff Vorley MSc. MCQI

Application of Quality Risk Management to Pharmaceutical Operations. Eldon Henson, Vice President, Quality Operations

Bachelor's Degree in Business Administration and Master's Degree course description

Information Technology Project Oversight Framework

Management policy Objectives and Controls

Introduction to Quantitative Methods

QDA Q-Management A S I D A T A M Y T E S P E C S H E E T. From stand-alone applications to integrated solutions. Process optimization tool

KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY COLLEGE OF ARCHITECTURE AND PLANNING DEPARTMENT OF BUILDING TECHNOLOGY.

Internal Audit Risk Planning

Lean Six Sigma Black Belt-EngineRoom

Transcription:

Reliability Analysis A Tool Set for Improving Business Processes Aron Brall ManTech International 1

Introduction Outline Defining Business Process Reliability Quantifying Business Process Reliability Business Process FMEA Business Process FTA Business Process FRACAS Conclusions and Recommendations 2

Introduction Current economic environment heightens need to remove waste and error in business operations Opportunities for failure in a process can be numerous and difficult to characterize. Business processes include accounting processes including budgeting, scheduling, document management including configuration control, sales processes, marketing processes including requirements determination, and general management processes including hiring and personnel evaluation and promotions. 3

Introduction (cont) Historically, many Quality Assurance methodologies such as Six Sigma have been used to improve quality in business processes. Reliability Methodologies, particularly FMEA, address frequency of occurrence, severity of the failure effects and ability of a process to detect imminent failure. Developing Reliability analysis methodology to evaluate new business processes before implementation as well as periodic evaluation can provide significant savings 4

Defining Business Process Reliability Business Process a documented method for performing a process necessary to the operation of a business. Business Process Risk the combination of the probability bilit a business process failure will occur with the degree of slip in schedule or increase in cost Reliability for a business process is generally a discrete event probability with an implied cost per occurrence. The probability bilit that t an activity, it i.e. entering a sales order or managing a cash account, will be completed without error and in a usable manner. Usable manner refers to the fact that many business processes are links in a chain hi of activities iti that t have suppliers and customers. A business process, like a sub system design, has many points of failure each of which can have different occurrence rates, and severity based ontheeffect effect ofthefailure failure onthebusiness 5

Quantifying Business Process Reliability Measured as probability of sustaining an unanticipated cost Standardize loss value so reliabilities are evaluated on a level scale. I.E., process with failure probability of 10% with cost of $10 is not as serious as process with failure probability of 1% with cost of $1000. Probability of sustaining loss in unit currency should be used. Unit currency may be thousands or millions to get meaningful numbers Measuring reliability is necessary to assess effectiveness of improvement Failure effects on subsequent processes are assessed 6

Quantifying Business Process Reliability 22 If process failures are documented, it is possible to measure frequency of occurrence againstopportunities for failure to occur. Modeled as binomial distribution (process can succeed or fail). Resultant probability and confidence limits are estimated with standard methods. Failures should have cost of correction documented. Cost model of process failures is an alternative approach Requires recording cost data for each failure. Use Weibull modeling program or graphical methods 7

Quantifying Business Process Reliability 3 Example is Accounts Payable procedure. 25 errors out of 500 invoices paid in past year. Zero cost assumed for correct payments. Costs of errant payments are associated with interest forgone on overpayments, interest charged on underpayments, additional labor to process payments a second time, etc. Example Error Cost Inputs $500 $2250 $3750 $5750 $8500 $750 $2400 $4250 $6400 $8750 $1000 $2500 $4500 $6500 $9300 $1250 $3000 $5000 $7500 $9500 $2100 $3300 $5100 $8300 $10000 8

Quantifying Business Process Reliability 3 Distribution output: Entering cost data for 25 errors and zero cost for 475 correct payments into Weibull software gives distribution and average error cost for each payment processed Probability( Cost) = e Cost Distribution Example η β Cost = e 5512 1.436 Cost f(t) Probability Density Function PDF gives probability of a particular overpayment value Error cost per payment processed was $250. 0 4000 8000 12000 16000 20000 Cost β=1.4361, η=5512.6514, ρ=0.9909, Ζ=0.0500 9

Business Process FMEA Business Process FMEA a modified FMEA to address the possible failures of a Business Process and their effects. FMEA can be most effective tool for assessing business processes. It is low in cost, Easy to understand by non engineering personnel quickly identifies weaknesses in a process. Essential purpose of this FMEA is to identify business process weaknesses provide an organized methodology to correct weaknesses with prioritization. 10

Business Process FMEA 2 Business Process FMEA is performed by a team consisting of process owner, the process supplier(s), process customer(s), and a facilitator use of a team assures broad spectrum evaluation of potential failure modes. facilitator offers an impartial arbiter of disputes and keeps team focused on task at hand. Business Process FMEA Team can be constituted uniquely for each process evaluated. Process owner usually manager or delegate from same department Supplier to process is provider of inputs to the process Customer of process uses output of process as inputs to subsequent process. Suppliers and customers of a process can be numerous Facilitator is usually independent d of process 11

Business Process FMEA 3 Business Process FMEA methodology is virtually identical to Manufacturing Process FMEA Differences are types of fil failure modes and mechanisms, and classification and scoring of Occurrence, Severity, and Detection factors which should be customized to particular business, and may be modified d for different departments within a company. Failure modes can vary from process to process as well as from business to business for the same process Failure Effects Typical failure effects translate as costs to the bottom line failure to meet schedule failure to deliver proper quantity cost overrun 12

Business Process FMEA 4 Occurrence should be related to frequency with which failure mode appears per number of opportunities to occur Severity should be presented as a preventable cost scoring can be specific to particular business ; expressed as a range in dollars. For a small business, a cost of $10,000 might score a 10 For a large business, a cost of $100,000 or more might score a ten Detection related to likelihood that process will be able to detect failure mode before impact of failure effects are noticed Risk Priority Number (RPN) a numerical value that is the product of Occurrence, Severity and Detection developed in the FMEA to evaluate the relative importance of the various failures and prioritize corrective action. 13

Business Process FMEA 5 Corrective Action should generally be prioritized by RPN (higher RPN selected first) low occurrence failures fil with very high h Severity (cost) should ldbe investigated for economical corrective actions Implementation of Corrective Actions should be structured to reduce Occurrence and/or Severity of the and increase Detection After corrective action(s) have been validated, FMEA should be rescored. Living Document FMEA should be maintained as a living document. Periodically, each FMEA should be reviewed to identify additional potential ilprocess improvements. When a business process is changed, existing FMEA should be updated, rather than starting a new FMEA. 14

Business Process FMEA 6 Occurrence Ranking Criteria i Likelihood of Criteria: Possible Failure Rates Rating Occurrence Extremely High >80% of process uses 10 Very High > 60% and 80% of process uses 9 High Very High >50% and 60% of process uses 8 High >40% and 50% of process uses 7 Moderate High >30% and 40% of process uses 6 Moderate >20% and 30% of process uses 5 Moderate Low >10% and 20% of process uses 4 Low >1% and 10% of process uses 3 Very Low >0.1% and 1% of process uses 2 Remote 0.1% of process uses 1 15

Business Process FMEA 7 Severity Ranking Criteria i Effect Criteria: Severity of Effect Cost per occurrence Rating Extremely Costly >$500,000 10 Very High Cost >$250,000 to $500,000 9 High Very High Cost >$100,000 to $250,000 8 High Cost >$25,000 to $100,000 7 Moderate High Cost >$5,000 to $25,000 6 Moderate Cost >$1,000 to $5,000 5 Moderate Low Cost >$250 to $1,000 4 Low Cost >$100 to $250 3 Very Low Cost >$25 to $100 2 Insignificant Cost <$25 1 16

Business Process FMEA 8 Detection ti Ranking Criteria i Detection Criteria: Likelihood of Detecting Rating Potential Cause by Process Controls Absolute Uncertainty CANNOT detect 10 Very Remote <5% chance 9 Remote >5 to 10 %chance 8 Very Low >10 to 25% chance 7 Low >25 to 50% chance 6 Moderate >50 to 70% chance 5 ModeratelyHigh >70to 80% chance 4 High >80 to 90% chance 3 Very High >90 to 99% chance 2 Almost Certain >99% chance 1 17

Business Process Fault Tree Analysis (FTA) FTA is used for processes with high mean cost per process application. FTA is performed after FMEA identifies failure modes with high cost failure effects FTA is quantitative and drivenby top event cost. Probabilistic approach to costs assures isolated failure events don t cause needless change and repeated failures drive change When many failure modes contribute to high cost failure, FTA can direct effective implementation of corrective action. FTA purpose is to examine process characteristics that can be executed improperly and cause unexpected cost. Failure effect(s) with high cost are used as top event(s) 18

Business Process Fault Tree Analysis (FTA) Failure modes identified in FMEA can be used as basic events in FTA The interaction of various initiating events to produce top events may assist in selecting which events to address first in Corrective Action 19

Business Process FRACAS Most engineering and manufacturing businesses maintain a formal FRACAS or similar system for design and production Almostnone apply same methodology for business processes Properly documenting business process failures can provide valuable insight into removing failure causes and reducing waste. When a problem is identified in a business process: Document as many details as possible Importance is no different than documenting a hardware test failure Date, time, process and procedure, person(s) performing process, inputs (including source), detailed description of the failure symptoms, and cost of failure should be documented 20

Business Process FRACAS 2 Root causes usually traceable to inadequate procedures and human errors Use multidisciplinary team Use Problem analysis methods such as Crosby 5 step, Ford 8 D, etc. Graphical methods such as Process Flow Diagrams and Ishikawa (Fishbone) diagrams can prove useful to identify root cause(s) Brainstorming during problem solving process obtains variety of possible failure causes which are then resolved into minimal set of causes. If FMEA was performed, evaluate to identify failure cause (mechanism), and to determine if possible failure causes were missed in FMEA 21

Business Process FRACAS 3 Corrective actions for business processes usually tighten available options Conflict between failure resistance and usability of process may require tighter oversight and review rather than reduction of flexibility Cost analysis of various approaches needs to be made looking at costs of preventing failures against undesirable costs of process fil failures Use of economic cost analysis against accounting cost analysis 22

Conclusions and Recommendations Reliability methods are useful for evaluating and improving Business Processes Bottom line business orientation works with reliability methods Implementation of these methods is cost effective and a positive influence on business This methodology provides effective use of reliability engineering skills during slack times 23