Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof. G. Srinivasan
NPTEL Co-ordinating Institute : IIT Madras
NPTEL Lecture Count : 41
NPTEL Course Size : 18 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - Introduction - (Challenges, Methodologies)
Lecture 2 - Forecasting - Time series models - Simple Exponential smoothing
Lecture 3 - Forecasting - Linear Models, Regression, Holt’s , seasonality
Lecture 4 - Forecasting - Winter’s model, causal models, Goodness of forecast, Aggregate Planning, Tabular method
Lecture 5 - Aggregate Planning, Tabular method, Linear Programming
Lecture 6 - Aggregate Planning, Transportation model
Lecture 7 - Aggregate Planning, Dynamic Programming, backordering
Lecture 8 - Aggregate Planning, Quadratic model, Demand and capacity planning
Lecture 9 - Inventory Models - Costs, EOQ model
Lecture 10 - Inventory - EOQ model graphs, with backordering
Lecture 11 - Inventory - Models for all quantity and marginal quantity Discount
Lecture 12 - Multiple Quantity Discount, Multiple item inventory - Constraint on numbers of orders
Lecture 13 - Multiple item inventory - Constraint on money value, space, equal number of orders
Lecture 14 - Multiple item inventory - combining orders, production consumption model
Lecture 15 - Inventory - Production consumption model with backordering, Economic lot scheduling problem
Lecture 16 - Economic lot scheduling problem, Supply Chain inventory
Lecture 17 - Lot sizing
Lecture 18 - Lot sizing - heuristics
Lecture 19 - Disaggregation
Lecture 20 - Disaggregation - time varying demand, Safety stock - ROL for discrete demand distribution
Lecture 21 - Safety stock - ROL for normal distribution of lead time demand
Lecture 22 - Integrated model, ROL for normal distribution of LTD and given mean
Lecture 23 - Safety stock reduction – delayed Product differentiation, substitution. MOM
Lecture 24 - Sequencing and scheduling – Assumptions, objectives and shop settings
Lecture 25 - Single machine sequencing. Two machine flow shop – Johnson’s algorithm
Lecture 26 - Flow shop scheduling - Three machines, Johnson’s algorithm and Branch and bound algorithm
Lecture 27 - Flow shop scheduling - heuristics – Palmer, Campbell Dudek Smith algorithm
Lecture 28 - Job shop scheduling - Gantt chart, Different dispatching rules
Lecture 29 - Job shop scheduling - Shifting bottleneck heuristic
Lecture 30 - Job shop scheduling - Shifting bottleneck heuristic. Line Balancing
Lecture 31 - Line Balancing
Lecture 32 - Location problems - p median problem, Fixed charge problem
Lecture 33 - Location allocation problems in supply chain. Layout
Lecture 34 - Quantitative models for layout, Summary
Lecture 35 - Introduction to Supply Chain Management
Lecture 36 - Location Problems
Lecture 37 - Transportation and Distribution Models
Lecture 38 - Transportation and Distribution Models(continued)
Lecture 39 - Bin Packing and Travelling Salesman Problems
Lecture 40 - Vehicle Routeing Problems
Lecture 41 - Value of Information