Covers various mathematical forms of linear programming problems: general, matrix, canonical, and standard. Explains constraints, slack and artificial variables, and standardization required for simplex analysis. Outlines the terminology and stepwise preparation of LPPs for algorithmic optimization methods
Introduces the principles and practices of Total Quality Management (TQM), with coverage of quality definitions, leading gurus, cost implications, and major frameworks (such as ISO and Malcolm Baldrige). Emphasizes continuous improvement, Kaizen, Six Sigma, and the role of HR in supporting a quality culture
