No / incomplete documentation and storage, hence Corporate Memory starves
BACK Global 8D is a Standardised Problem Solving Technique used by FAO that provides an effective framework through step-by-step disciplines and integration of different skills, to resolve concerns and prevent their recurrence.
G8D Overview : Prepare for G8D Establish Team Describe Problem Choose & Verify PCA Root Cause & Escape Point Develop ICA Implement & Validate PCA Prevent Recurrence Recognise Contributions BACK D0 D1 D2 D5 D4 D3 D6 D7 D8
G8D has been proven over time and supports the Ford 2000 Seven Strategies
Empowered People to implement corrective actions, prevent recurrence through right people with right skills at the right time
Nimble through Process Leadership : A standard process, hence, global communication is faster, Corporate Memory avoids duplication, helps with replication & assistance facilities for faster and effective problem solving
Lead in Customer Satisfaction : Customer protected throughout the problem solving process - ERA / ICA, Concern Definition, Verification & Validation
G8D addresses 3 types of problem solving approaches
Rational Approach : Fact & Data based
People Approach : Team Work, Employee Involvement, Participative Management and Experience Sharing
Define, Verify, Validate and Implement Interim Containment Action (ICA) to isolate the effects of the problem from any internal / external customer & affected party until a Permanent Corrective Action (PCA) is implemented
Does this ‘change how’ theory completely explain ‘Is’ as well as ‘Is Not’
Explains Fully : If the data explains fully why the effect manifests itself in the ‘Is’ dimension but never manifests itself in the ‘Is Not’ dimension, then a plus (+) symbol should be entered in the Test Matrix for that element. THIS THEORY FULLY EXPLAINS THE ELEMENT
Cannot Explain : If the data cannot explain why the effect manifests itself in the ‘Is’ dimension and / or never manifests itself in the ‘Is Not’ dimension, then a minus (-) symbol should be entered in the Test Matrix for that element. THIS THEORY DEFINITELY DOES NOT EXPLAIN THIS ELEMENT AND THEREFORE CANNOT BE THE CAUSE
Insufficient Data : If the theory could explain the effect but there are insufficient data to explain fully why the effect manifests itself in the ‘Is’ dimension and / or never manifests itself in the ‘Is Not’ dimension, then a question mark (?) symbol should be entered in the Test Matrix for that element and a comment added at that point to indicate the further data collection / analysis required. THIS THEORY COULD EXPLAIN THIS ELEMENT ELEMENT BUT MORE DATA / ANALYSIS ARE REQUIRED
Insufficient Data (contd…) : In practice, particularly when multiple root causes are considered, more than one theory may pass the trial run with a combination of pluses and question marks. In such cases, and where it is feasible and practical, collect and analyse the missing data and reexamine the theory to resolve the question marks to either pluses or minuses. Else, proceed to Step 6, starting with the theory with most pluses.
Prioritisation : Rational process that weighs the pros & cons. Though time consuming, it allows for several courses of alternatives. Criteria can be based on nature of situation which can influence decision
Consensus : 70% approval and 100% support Most powerful method for the TEAM process (agreement, force, support, etc.)
GIVENS : These are objectively measurable, non-negotiable, realistic features of the decision. Givens are the constraints (minimum criteria) and are used as filters. Givens often concern money, deadlines, company procedures, legislations, etc.
WANTS : These are desirable (as opposed to essentials) features of the decision and enable to determine which remaining choices are preferable