Supply Chain Management



 Supply Chain Management- Paper 1st

 Statistical Quality Control- Paper 2nd

Curriculum of Supply Chain Management- Paper 1st (IIBM – E1023)

S.No. Topics
 1 Introduction to Operations Management:Basic Concepts of Operations Management, Transformation Approach, Relevance of OM to Service Sector, Brief History of OM, Current Status of Operations Management, Current Issues Facing Operations Management.
2 Operations Strategy and Competitiveness:-Managing Strategy, Concept of Operations Strategy, Relationship Between the Different Value Elements, Competitive Dimensions of Operations Strategy, Richardson, Taylor and Gordon Framework, Strategic Fit (Fitting Operational Activities to Business Strategy), Implementing Strategy.
3 Understanding Supply Chain Management:-Concept of Basic Definition of Supply Chain, Need for Supply Chain Management, Scope of Supply Chain Management, Supply Chain Orientation, Achieving Strategic Fit and Understanding Implied Uncertainty, Supply Chain Drivers, Supply Chain Obstacles.
4 Supply Chain Network:-Concept of Supply Chain Network, Cross Docking, Facility Location Models.
5 Forecasting in Supply Chain Management:-Demand Planning and Forecasting, Developing a Model, Different Types of Forecasting Techniques, IT-Based Models, Quantitative Methods, Methods Used to Determine Accuracy of Forecast, Forecast Control.
6 Inventory Control:-Average Inventory, Types of Inventory Costs, Inventory Metrics, Inventory Measures, Basic Concept of EOQ, Lot Size Determination, Economic Order Quantity, Principle of Aggregation, Advanced Deterministic EOQ Models, EPQ and Fixed-Time Period Models, Lead Time Uncertainty and Product Availability.
7 Sourcing Decision and Vendor Selection:-Outsourcing and Sourcing, Sourcing Decisions, Sourcing Strategy, Vendor Selection, Vehicle Routing and Route Sequencing.
8 Bullwhip Effect:-Impact of Bullwhip Effect, Causes of Bullwhip Effect, Methods to Overcome

 Curriculum of Statistical Quality Control- Paper 2nd (IIBM – E1024)

S.No. Topics
 1 Introduction to statistical Quality Control:Meaning, Definition and Dimension of Quality, Statistical Quality Control, Levels of understanding SQC, Importance of Statistical Quality Control.
2 Control Charts:-X bar and R Charts, Analysis of the Control Chart, The Control Chart for Fraction Rejected, The Control Chart for Nonconformities.
3 Fundamentals of the Theory of Probability:-meaning of Probability, Some Theorems of Theory of Probability, Universe, population and Samples, Hyper geometric Probability Distribution, Binomial Probability Distribution, Poisson Probability Distribution, Random Variable, Normal Distribution, Point Estimation, Sampling from Normal Distribution, Theory of extreme value.
4 Rational Subgrouping:-subgroups, Schewhart Control Charts, Sources of Variablility, Need for discrimination in the Selection of Subgroup, Precision, Reproducibility and Accuracy of Method of Measurement.
5 Statistical Analysis of Process capability and Process Improvement:-process capability, Performance Indexes, Quality by Design, Design of Experiments, Statistics and Tolerances, Experimentation, Some Special Process Control Procedures.
6 Acceptance Sampling by Attributes:-Sampling, Advantages and Disadvantages of Acceptance Sampling, Lot formation, random Sampling, OC Curve, Dodge-Romig Sampling Plans, rectifying Inspection, Average outgoing Quality, Application of Acceptance Sampling.
7 Other Acceptance Sampling Techniques:-Acceptance sampling by Variables, Acceptance Sampling Plans for Continuous production, Skip-Lot Sampling Plans.
8 Aspects of Life Testing and Reliability:-Life Testing, Concept of Reliability, Failure Rate, Repair Rate, Common Difficulties with Reliability Data, Physical Acceleration, Common Acceleration Models.
9 Aspects of Quality Decisions:-Better Decisions for Better Outcomes, Components of Sound Decisions, Why do Engineers Need to Learn about Economics?, Engineering Economic Studies, Quality & Cost Economics, Taguchi’s Loss Function.
10 Significant Events in the development of Statistical Quality Control:-Quality and standardization, SQC Categorization, Quality and Productivity Awards.
11 Models for Quality Management and Problem Solving:-Deming Cycle, Juran’s Aspect of Quality, Seven basic Tools of SPC.
12 Systems of Chance Causes:-Common Cause and Special Cause, Correlation does not Imply Causation, Deming Red Bead Experiment.

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