Root cause analysis Also known as fishbone diagram

Root cause analysis

Also known as fish-bone diagram

FICCI CE Root cause analysis In any organization numerous problems exist in all facets of its activities. The efficiency and survival of the organization depends on how promptly these problems are recognized and their root causes are isolated and eliminated.

FICCI CE Root cause analysis A systematic analysis of each potential problem area should be carried out to recognize the root causes which are responsible for creating the problem. Such analysis is called Root Cause Analysis.

Possible root causes for non conformance/ defects

FICCI CE Machine factors • • Inadequate process capability Incorrectly designed tooling Poor maintenance Equipment effected by environmental factors such as heat, humidity etc.

FICCI CE Material factors • Use of untested materials • Mix-up of materials • Substandard material accepted on concession because of nonavailability of correct material • Inconsistency in specifications on the part of vendors

FICCI CE Men factors • Incorrect knowledge of setting up machines • Undue rush by the operator to achieve quality targets • Lack of understanding of drawing instructions relating to a process • Operator does not posses requisite skill for operating machines

FICCI CE Method factors • • Inadequate process controls Non availability of proper test equipments Test equipment out of calibration Vague inspection/ testing instructions

Cause and effect diagram (also known as ishikawa diagram or fishbone diagram) is an analysis tool to analyze many potential or actual causes of a problem in a systematic way. It is a very effective way of improving the quality of the product or service.

Cause & Effect diagram - Major and subsidiary causes Material Methods Environment Noise level Procedures Assemblies Temperature Humidity Consumables Components Accounting Suppliers Lighting Policies Quality Variability Instruments Training Experience Tests Technology Tooling Attitude Gauging Skill Men Fixtures Machine Counting Measurement

Example of Cause & Effect diagram - Low operating profit Material Methods Inadequate process control High lead time poor review system Environment High Noise level Heat High inventory Poor quality of vendors Lack of Experience Poor QC Poor Lighting Poor MIS Inadequate Training High variation Inadequate Instruments Old machines Poor Maintenance Low motivation Men Low operating profit No SPC Frequent breakdowns Machine Inadequate measurement Measurement

Click on the boxes to enter your cause & effect Material Methods Environment Click to enter click Men Machine Measurement