Search
×
FR

Placeholder headline

This is just a placeholder headline

API MPMS CH 10.8, 3rd Edition: Standard Test Method for Sediment in Crude Oil by Membrane Filtration

$

114

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO/TR 42505:2026 Sharing economy — Shared manufacturing — Concepts and models

$

192

BUY NOW

Placeholder headline

This is just a placeholder headline

ISO 4306-1:2026 Cranes — Vocabulary — Part 1: General

$

436

BUY NOW

ISO 17258:2015

ISO 17258:2015 Statistical methods – Six Sigma – Basic criteria underlying benchmarking for Six Sigma in organisations

CDN $352.00

SKU: 6d2b8e1879c6 Category:

Description

ISO 17258:2015 describes a methodology for establishing the level of quality, performance, and productivity of processes, products, and services according to Six Sigma principles. It is applicable to all sectors (industries, services, administration, etc.) and to all types of organizations, whether it is already involved in an improvement programme such as Six Sigma, Lean, or not. In particular, it can be used to initiate a Six Sigma programme by providing a selection of improvement projects.

NOTE. The focus of this methodology is on criteria, measures, measurement process, and comparison process. The results can then be used to identify good practices of benchmarking.

Edition

1

Published Date

2015-01-07

Status

PUBLISHED

Pages

37

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO 17258:2015 describes a methodology for establishing the level of quality, performance, and productivity of processes, products, and services according to Six Sigma principles. It is applicable to all sectors (industries, services, administration, etc.) and to all types of organizations, whether it is already involved in an improvement programme such as Six Sigma, Lean, or not. In particular, it can be used to initiate a Six Sigma programme by providing a selection of improvement projects.

NOTE. The focus of this methodology is on criteria, measures, measurement process, and comparison process. The results can then be used to identify good practices of benchmarking.

Previous Editions

Can’t find what you are looking for?

Please contact us at: