Six SIGMA Case Studies with Minitab(r) - Kishore K Pochampally

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Auteur(s) : Kishore K Pochampally - Surendra M Gupta

Editeur : Crc Press

Langue : Anglais

Parution : 01/02/2014

Format : Moyen, de 350g à 1kg

Nombre de pages : 318

Expédition : 577

Dimensions : 23.8 x 16.1 x 2.5

ISBN : 9781482205572

Résumé :

Six Sigma is one of the most widely used quality improvement methodologies today, both in manufacturing and service industries. Minitab? is a statistical software package that is often used in conjunction with Six Sigma projects. This book illustrates the application of Minitab? for Six Sigma projects, using case studies in a variety of sectors, such as healthcare, manufacturing, airline, and fast food. Detailed steps and screenshots are provided to explain how to use a number of quality analysis and improvement tools in Minitab?. Figures will include Minitab? screenshots and Minitab? worksheets for the case studies will be available for download.

Biographie:

Kishore K. Pochampally, PhD, is an associate professor of quantitative studies, operations and project management at Southern New Hampshire University (SNHU) in Manchester (NH). His prior academic experience is as a post-doctoral fellow at Massachusetts Institute of Technology (MIT) in Cambridge (MA). He earned a PhD in industrial engineering from Northeastern University in Boston. He teaches Six Sigma courses at SNHU and conducts Lean Six Sigma training at service organizations. He is a Six Sigma Black Belt (American Society for Quality) and a Project Management Professional (PMP?).
Surendra M. Gupta, PhD, PE, is a professor of mechanical and industrial engineering and the director of the Laboratory for Responsible Manufacturing, Northeastern University. He earned his BE in electronics engineering from Birla Institute of Technology and Science, his MBA from Bryant University, and his MSIE and PhD in industrial engineering from Purdue University. He is a registered professional engineer in the state of Massachusetts. Dr. Gupta's research interests are in the areas of production/ manufacturing systems and operations research. He is mostly interested in environmentally conscious manufacturing, reverse and closed-loop supply chains, disassembly modeling, and remanufacturing. He has authored or coauthored more than 450 technical papers published in books, journals, and international conference proceedings. His publications have been cited by thousands of researchers all over the world in journals, proceedings, books, and dissertations. He has traveled to all seven continents-Africa, Antarctica, Asia, Australia, Europe, North America, and South America-and presented his work at international conferences on six continents. Dr. Gupta has taught more than 100 courses in such areas as operations research, inventory theory, queueing theory, engineering economy, supply chain management, and production planning and control. He has received many recognitions, including the Outstanding Research Award and Outstanding Industrial Engineering Professor Award (in recognition of teaching excellence) from Northeastern University and the National Outstanding Doctoral Dissertation Advisor Award.

Sommaire:

Introduction to Six Sigma Quality. Quality Analysis and Improvement Tools/Techniques. Six Sigma Case Studies. Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant. Hypothesis Testing for Quality Control at a Manufacturing Company. Chi-Square Analysis to Verify Quality of Candy Packets. Process Capability Analysis at a Manufacturing Company. Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant. Item Analysis and Cluster Analysis to Gather Voice of the Customer (VOC) Data from Employees at a Service Firm. Mixture Designs to Optimize Pollution Level and Temperature of Fuels. Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center. Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town. Measurement System Analysis at a Medical Equipment Manufacturer. Taguchi Design to Improve Customer Satisfaction of an Airline Company. Factorial Design of Experiments to Optimize a Chemical Process. Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced.