This course is suitable for supervisors, individuals and all who need to apply Emotional Intelligence to promote a positive emotional climate at the workplace.
Statistical concepts, Normal, Binomial and Poisson distributions and their applications.Acceptance sampling as a method of detection, Process control as a method of prevention.Control charts (C, U, X-bar and R, Moving range and moving average, CUSUM and trend charts).SECTION 1 CONTINUOUS IMPROVEMENTSECTION 2 INTRODUCTION TO CONTROL CHARTSSECTION 3 BASIC STATISTICSECTION 4 X-BAR (AVERAGE) AND R (RA...
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Learning Objectives:Understand the content, interrelationships and interpreting accurately the requirements of the standards (ISO 9001:2000, ISO 14001:1996 & OHSAS 18001) in the IMS model.Understand the 8 Quality Management Principles for QMS modelUnderstand the principles and techniques available for the Environmental Aspect and Impact assessment.Plan and conduct a "Process Approach" audit to...
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Learning Objectives:Understand the rationale supporting EMS ModelThe 'PDCA' Continual Improvement in Environmental Performance EvaluationTechnique, Tools & Strategies to identify, select and analyse the significant environmental impact.EMS Implementation StrategiesTarget :Executives who have no time to attend lengthy course are provided with vital information on EMS Concept, Strategy for Imple...
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Learning Objectives:Introduction of Tools & Methodologies to systematically plan product, part and process design and development activities prior to mass production.Identification of key product, part and process characteristics throughout the product life cycle to ensure meeting of customer requirements.Development of APQP, PPAP & Control PlansTarget: QMR/Internal QMS Auditors &...
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Learning Objectives:Understanding of ISO/EMS Documentation Structuring and Drafting, Document Control MechanismsThe development and implementation of EMS Documentation & Records Management with respect to significant environmental aspect/impactDocuments Review mechanism for Continual ImprovementTarget : Personnel in middle management, engineers/supervisors, document controllers and those ...
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