"Pareto charts" Essays and Research Papers

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    M3.01 Problem Solving

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    ILM Unit M3.01 – Problem Solving Machine Productivity Background The organisation that I’m employed with is a world leader in the paper & packaging industry. The company specialises in manufacturing paper-based packaging‚ with a network of paper‚ recycling and forestry operations. It is an integrated producer‚ with packaging plants sourcing the major part of their raw material requirements from the company’s own paper mills. In turn‚ the sourcing of recovered fibre and wood for the mills is

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    Quality Management Presenter : Ms Rina Sajise Seven (7) Tools of TQM Pareto Analysis: Pareto Chart 45 120% 40 100% 35 30 80% 25 60% 20 15 40% 10 20% 5 Vilfredo Pareto – Italian Economist 0 No signature Non-legible writing Current Customer Frequency Operations Management: An Asian Perspective (William J. Stevenson and Sum Chee Chuong) No address Cumulative Percentage Other 0% Understanding the Pareto Principle  Doing 20% of work generates advantage of 80% of entire job  In

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    Anna Hardy - Lucie Lambert - Manon Lauzet - Thomas Jouvel - Chloé Gilles EXERCICE IN NEGOCIATION ANALYSIS EXERCISE ON BATNAS‚ RESERVATION PRICES‚ AND ZOPAS A PRIMER ON BATNAS‚ RESERVATION PRICES‚ AND ZOPAS This introduction talks about Negotiation concepts. BATNA (Best Alternative to Negotiated Agreement) is the last proposal that a person can do before exiting the negotiation. You have to prepare your BATNA before the negotiation to keep in mind what is your alternative solution if the agreement

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    Improving Store and DC Productivity through Minimum Order Quantity Analysis Lean Six Sigma in Retail & Distribution Mitch Millstein‚ CFPIM‚ C.P.M.‚ CQM‚ CQE Supply Velocity‚ Inc. mitch@supplyvelocity.com (314) 406-4962 November 2009 info@supplyvelocity.com Copyright: Supply Velocity‚ Inc. 1 Background A Value Stream Assessment (See White Paper: Finding Productivity Improvements from Field to Table) at this Grocery Retailer & Distributor identified poor productivity in its distribution centers

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    MSc in MARKETING “Market Research” MN7036/D Prepared By: Wye Ee Liew Student No: 069019862 Oct 2007 1 CONTENTS Introduction to Customer Satisfaction Case Scenario Research Objective Methodology - Survey Method - Sampling Method - Determining Sample Size Questionnaire Design Analysing Result Conclusion Appendix Bibliography Word Count: 2‚721 Page 3 4 4 4 6 9 10 11 12 2 Introduction to Customer Satisfaction Satisfaction arises when an expectation is being fulfilled

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    1. Using at least two different tools‚ analyze the data and present your conclusions. Using the Pareto Chart‚ the number of times all items were graded with the lowest rating “E” was plotted. Based on this chart and on the 80-20 principle‚ the top 3 items namely Speed of service‚ Printed Program‚ and Seating were causing the rest of the complaints on the rest of the items. Cumulative Frequency Speed of Service Printed Program Seating Entertainment Traffic Pricing Parking Prices Season Ticket Plans

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    BUILDING & ESTATE DEVELOPERS‚ LANDSCAPING & CONCRETE PRODUCT PRODUCERS BANKERS: DANGME RURAL BANK‚ PRAMPRAM P. O. BOX SK. 177 UNITED BANK FOR AFRICA‚ TEMA SAKUMONO-TEMA TEL: +233(0)24-3277194 +233(0)24-2163699 OUR REF.: …..………………… YOUR REF.: …………………… DATE:

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    Generate alternatives Evaluate the alternatives Develop De elop an action plan Implement Follow up Thammasat Business School QC Circle Stratification Small Group Activities Flowchart & Graph TPM Group G Check sheet Pareto and 80/20 rules Histogram Control Charts Cause-and-effect diagram Scatter diagram: C S tt di Correlation analysis l ti l i Stratification S ifi i Data Collection ll Stratification For comparison purpose By material: supplier‚ purchase date time

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    X-Chart and P-Chart

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    PROBLEMS 2. Control charts for X and R are to be established on a certain dimension part‚ measured in millimeters. Data were collected in subgroup sizes of 6 and are given below. Determine the trial central line and control limits. Assume assignable causes and revise the central line and limits. |SUBGROUP NUMBER |Xbar |R |SUBGROUP NUMBER |Xbar |R | | |20.35 |0.34

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    Quality Tools

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    7 Quality Tools Cause-Effect Diagrams Flow Charts The 7 Quality Tools for Process Improvements Pareto Chart Where did the Basic Seven come from? Kaoru Ishikawa • Known for “Democratizing Statistics” • The Basic Seven Tools made statistical analysis less complicated for the average person • Good Visual Aids make statistical and quality control more comprehendible. What Is a Flowchart? A diagram that uses graphic symbols to depict the nature and flow of the steps in a process

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