monitor the quality of products being produced and eliminate defects. (TQM) addresses organizational quality from managerial viewpoints focusing on customer-driven quality standards‚ managerial leadership‚ continuous improvement‚ quality built into product and process design‚ quality identified problems at the source‚ and quality made everyone’s responsibility. However‚ talking about solving quality problems is not enough. We need specific tools that can help us make the right quality decisions. These
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Examination Paper: Supply Chain Management 5 IIBM Institute of Business Management IIBM Institute of Business Management Examination Paper MM.100 Statistical Quality Control Section A: Objective Type (30 marks) · This section consists of Multiple choice questions & Short Answer type questions. · Answer all the questions. · Part One questions carry 1 mark each & Part Two questions carry 4 marks each. Part One: Multiple choices: 1. If in a hall there are 18 persons then how many handshakes are possible
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OVERVIEWS Statistical Quality Control Statistics > Statistical Quality Control Table of Contents Abstract Overview Total Quality Management Descriptive Statistics & Quality Control Types of Quality Control Charts Applications The Six Sigma Process Goal of Six Sigma Terms & Concepts Bibliography Suggested Reading Abstract To be successful in today ’s global marketplace‚ companies need to have a constant eye on the quality of their products and services. Quality control utilizes
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CHAPTER Statistical Quality Control Before studying this chapter you should know or‚ if necessary‚ review 1. 2. Quality as a competitive priority‚ Chapter 2‚ page 00. Total quality management (TQM) concepts‚ Chapter 5‚ pages 00 – 00. 6 LEARNING OBJECTIVES After studying this chapter you should be able to 1 2 3 4 5 6 7 8 9 Describe categories of statistical quality control (SQC). Explain the use of descriptive statistics in measuring quality characteristics. Identify and describe causes
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Statistical quality control (SQC) The application of statistical techniques to measure and evaluate the quality of a product‚ service‚ or process. Two basic categories: I. Statistical process control (SPC): - the application of statistical techniques to determine whether a process is functioning as desired II. Acceptance Sampling: - the application of statistical techniques to determine whether a population of items should be accepted or rejected based on inspection of a sample of those
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INDUSTRIES: STATISTICAL QUALITY CONTROL INSTRUCTION PPG Cleveland was the largest automotive-coating manufacturing plant in the world with annual production exceeding 18 million gallons. The plant was a converter-type operation‚ which assembled and processed raw materials into hundreds of primers and topcoats for application at automotive assembly plants throughout the United States. When a sample of paint from the production process was received in the Cleveland quality-control lab‚ it was
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Statistical Process Control Statistical Monitoring of Processes to Detect Special Causes of Variation Lecture Outline • • • • • • • Basics of Statistical Process Control Control Charts Control Charts for Attributes Control Charts for Variables Control Chart Patterns SPC with Excel Process Capability Statistical QA Approaches Statistical process control (SPC) • Monitors production process to prevent poor quality Acceptance sampling • Inspects random sample of product
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Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC‚ a process behaves predictably to produce as much conforming product as possible with the least possible waste. While SPC has been applied most frequently to controlling manufacturing lines‚ it applies equally well to any process with a measurable output. Key tools in SPC are control charts
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productivity on the factory floor. In addition to eliminating waste‚ lean manufacturing seeks to provide optimum quality by building in a method whereby each part is examined immediately after manufacture‚ and if there is a defect‚ the production line stops so that the problem can be detected at the earliest possible time. The lean manufacturing method has much in common with the Total Quality Management (TQM) strategy. Both strategies empower workers on the assembly line‚ in the belief that those closest
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UTILITY OF QUALITY CONTROL TOOLS AND STATISTICAL PROCESS CONTROL TO IMPROVE THE PRODUCTIVITY AND QUALITY IN AN INDUSTRY RALLABANDI SRINIVASU 1 G. SATYANARAYANA REDDY 2 SRIKANTH REDDY RIKKULA 3 1. Professor & Director in St. Mary’s Group of Institutions‚ Hyderabad‚ India. 2. Professor & HOD-MBA in CMR College of Information Technology‚ Hyderabad‚ India 3. Associate Professor‚ MCA Dept. St.Mary’s College of Engg. & Technology‚ Hyderabad
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