Proceedings of the 5Th European Automated Manufacturing Conference—3 Volumes: Statistical Process Control, Total Quality Management, And Just in TimeIFS PublicationsBedford, 254 pages, no index (£49).

Robotica ◽  
1990 ◽  
Vol 8 (1) ◽  
pp. 88-88
Author(s):  
T. Owen
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Automated Manufacturing ◽  
Total Quality ◽  
Statistical Process

TOTAL QUALITY MANAGEMENT USING PARETO DIAGRAMS AND STATISTICAL PROCESS CONTROL CHARTS (SPC) APPLIED TO PRECAST BEAMS

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Mifta Priyanto
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Control Charts ◽  
Range Limit ◽  
Total Quality ◽  
Statistical Process ◽  
Process Control Charts ◽  
Statistical Process Control Charts

This paper presents the application of Total Quality Management Method using Pareto diagrams and Statistical Process Control charts (SPC). These tools can be applied to both the manufacturing and construction sectors. A Pareto diagram can figure out some of the dominant problems of the projects, and SPC can determine whether the data variation is within control limits. SPC can measure the quality of performance in learning curve using the upper-range limit and lower-range limit of the control analysis. A case study was conducted on a precast beams installation at a rental multi-story residential project in Jakarta, Indonesia. Based on the measurement, some data are outside of the control limit due to the problems identified in the Pareto diagram. Further analysis by measuring the Process Capability Ratio (Cp) produces a value <1, indicating that project management needs to be careful about process variation.

scholarly journals IMPLEMENTATION OF STATISTICAL PROCESS CONTROL (SPC) FOR MANUFACTURING PERFORMANCE IMPROVEMENT

1970 ◽  
Vol 40 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Farzana Sultana ◽  
Nahid Islam Razive ◽  
Abdullahil Azeem
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Data System ◽  
Total Quality ◽  
Statistical Process ◽  
Machine Breakdowns ◽  
Hourly Data ◽  
Manufacturing Performance

This paper intends to combine the Hourly Data System (HDS) and Statistical Process Control (SPC) practices to improve manufacturing performances in manufacturing companies. The focus of this work is to find out the frequencies and time duration of machine breakdowns as well as the major causes of breakdowns affecting productivity. Total quality management (TQM) was introduced to improve continually the products or services to increase the customer satisfaction level. SPC is an important tool of TQM. Again HDS is the real time view of production floor of any manufacturing industry. In usual practice, SPC is used as quality control tool. However in this research SPC is used to increase total output identifying major loss times from various machine breakdowns using HDS. Successful implementation of the recommendations of this paper can significantly improve the manufacturing performance of a manufacturing environment. Keywords: Total Quality management (TQM), Statistical Process Control (SPC), Hourly Data System (HDS)   doi: 10.3329/jme.v40i1.3466 Journal of Mechanical Engineering, Vol. ME40, No. 1, June 2009 15-21

Statistical Process and Quality Control

2000 ◽  
pp. 233-244
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quality Management ◽  
Total Quality Management ◽  
Statistical Process Control ◽  
Control Charts ◽  
Statistical Testing ◽  
Total Quality ◽  
Statistical Process ◽  
Sampling Plans

Abstract This chapter provides an introduction to statistical process control and the concept of total quality management. It begins with a review of quality improvement efforts in the extrusion industry and the considerations involved in developing sampling plans and interpreting control charts. It then lays out the steps that would be followed in order to implement statistical testing for billet casting, die performance, or any other process or variable that impacts extrusion quality. The chapter concludes with an overview of the fundamentals of total quality management.

Total Quality Management and Quality Engineering

2020 ◽  
pp. 451-468
Author(s):  
Shubhajit Das ◽  
Kakoli Roy ◽  
Tage Nampi
Keyword(s):  
Quality Management ◽  
Process Control ◽  
Total Quality Management ◽  
Continuous Improvement ◽  
Failure Modes ◽  
Quality Engineering ◽  
Total Quality ◽  
Statistical Process ◽  
Continuous Quality ◽  
Management Approaches

Total quality management (TQM) is a set of the systematic management approaches for the continuous improvement of quality standards of products, services, and business relations with employees and consumers. This chapter mainly focusses on the eight key principles of TQM, the involvement of workers, leadership, process approach, strategic approach, continuous improvement, together for a factual approach to decision-making and communication. This chapter also discusses a four-part management model that implements continuous quality improvements and process control in different stages of an organization based on the Deming cycle or the Shewhart cycle. Quality engineering encompasses a broad range of methodologies and tools, which include quality management systems, advanced product quality planning (APQP), tools like quality function development (QFD), failure modes, and effects analysis (FMEA), statistical process control (SPC), and are widely accepted methodologies used in industries.

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