SIX SIGMA : Gaining Competitive Advantage in the Oil Industry: A Case Analysis - Image 1

£57.00

LAP Lambert Academic Publishing SIX SIGMA : Gaining Competitive Advantage in the Oil Industry: A Case Analysis

Name: SIX SIGMA : Gaining Competitive Advantage in the Oil Industry: A Case Analysis
Brand: LAP Lambert Academic Publishing
Price: 57.0 GBP
Availability: InStock

Accounting

Price data checked 1 day ago

View at Amazon

Price History & Forecast

Last 90 days • 90 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 90 days • 1 price levels

Days at Price

Price Analysis

Most common price: £57 (90 days, 100.0%)

Price range: £57 - £57

Price levels: 1 different prices over 90 days

Description

Iran is one of the world leading oil producing countries with GDP of 26.5%, which is contributed by the oil industry and therefore, managers believe that waste management could increase revenue using Six Sigma technique. This is referred as one of the effective and advanced quality engineering systems that would increase quality level at 3.4 parts per million defectives produced. The study aimed to examine the application of Six Sigma in a larger oil company in Iran and evaluate its effect with respect to its performances. The study used DMAIC model for understanding the oil company which has specialized for the oil caning and filling processes. The tools and techniques in each of the phases of Six Sigma has been specialized with respect to the characteristics of the oil industry. The study outcomes illustrate the oil industry to focus on more energy savings and consumption from waste managment through six-sigma applications.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 3845437243
Category: Books > Subjects > Business, Finance & Law > Accounting
Domain: Amazon UK
Release Date: 14 March 2012
Listed Since: 07 March 2012

Barcode

No barcode data available

LAP Lambert Academic Publishing SIX SIGMA : Gaining Competitive Advantage in the Oil Industry: A Case Analysis

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Six Sigma in the area of finance: A valuable model for process optimization?

Der Einsatz der Six Sigma-Methode zur Qualitätssteigerung in Unternehmen

Six Sigma pour l’amélioration d’un système de production: Méthode Six Sigma et approche multicritère d’aide à la décision pour l’amélioration d'un système de production complexe (Omn.Pres.Franc.)

Six Sigma with R: Statistical Engineering for Process Improvement: 36 (Use R!, 36)

Six Sigma and Beyond: The Implementation Process, Volume VII: 07

Springer Six Sigma: A Case Study Approach Using Minitab

Stages of Six Sigma Deployment

World Class Applications of Six Sigma

Six Sigma Software Development (Software Engineering)

Six Sigma: Methoden und Statistik für die Praxis

Six Sigma for Electronics Design and Manufacturing (Professional Engineering)

Six Sigma and Beyond: Design for Six Sigma, Volume VI: 006 (Six Sigma and Beyond Series, Volume 6)

Six Sigma: SPC and TQM in Manufacturing and Services

Six Sigma+Lean Toolset: Executing Improvement Projects Successfully

World Class Applications of Six Sigma

Six Sigma Fundamentals: A Complete Introduction to the System, Methods, and Tools

Six Sigma Software Development

Six Sigma Team Dynamics: The Elusive Key to Project Success

Lean Six Sigma: Methoden zur Produktionsoptimierung

The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance (GENERAL FINANCE & INVESTING)

Lean Six Sigma for Optimal System Performance in Manufacturing and Service Organizations: Emerging Research and Opportunities (Advances in Logistics, Operations, and Management Science)

Six Sigma Best Practices: A Guide to Business Process Excellence for Diverse Industries

The Six Sigma Handbook, Sixth Edition: A Complete Guide for Green Belts, Black Belts, and Managers at All Levels

Design For Six Sigma For Engineers: 0 (Series on Quality, Reliability and Engineering Statistics)