Operations and Supply Chain Management


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