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Advanced Forecasting, Planning, and Supply Chain Management

Master the Art of Forecasting, Planning, and Scheduling: Transform Your Supply Chain Skills with Advanced Models and Heuristics!

4.0 (13)
215 learners

What you'll learn

Understand and apply various forecasting models, including exponential smoothing and regression techniques.
Gain proficiency in aggregate planning methods such as linear programming, transportation, and dynamic programming.
Master inventory management strategies, including EOQ models, safety stock calculation, and multiple item constraints.
Develop skills in scheduling and routing problems, including job shop scheduling, vehicle routing, and supply chain location planning.

This course includes

  • 35.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Course content

1 modules • 41 lessons • 35.5 hours of video

Advanced Forecasting, Planning, and Supply Chain Management
41 lessons • 35.5 hours
  • Mod-01 Lec-01 Introduction -- (Challenges, Methodologies)55:41
  • Mod-02 Lec-02 Forecasting -- Time series models -- Simple Exponential smoothing53:01
  • Mod-02 Lec-03 Forecasting -- Linear Models, Regression, Holt's , seasonality53:40
  • Mod-02 Lec-04 Forecasting -- Winter's model, causal models, Goodness of forecast, Aggregate Planning59:46
  • Mod-03 Lec-05 Aggregate Planning, Tabular method, Linear Programming54:50
  • Mod-03 Lec-06 Aggregate Planning, Transportation model50:28
  • Mod-03 Lec-07 Aggregate Planning, Dynamic Programming, backordering01:02:45
  • Mod-03 Lec-08 Aggregate Planning, Quadratic model, Demand and capacity planning50:36
  • Mod-04 Lec-09 Inventory Models -- Costs, EOQ model51:56
  • Mod-04 Lec-10 Inventory -- EOQ model graphs, with backordering56:47
  • Mod-04 Lec-11 Inventory -- Models for all quantity and marginal quantity Discount52:24
  • Mod-04 Lec-12 Multiple Quantity Discount, Multiple item inventory- Constraint on numbers of orders47:56
  • Mod-04 Lec-13 Multiple item inventory -- Constraint on money value, space, equal number of orders50:53
  • Mod-04 Lec-14 Multiple item inventory --combining orders, production consumption model51:02
  • Mod-04 Lec-15 Inventory -- Production consumption model with backordering55:33
  • Mod-04 Lec-16 Economic lot scheduling problem, Supply Chain inventory35:00
  • Mod-05 Lec-17 Lot sizing57:32
  • Mod-05 Lec-18 Lot sizing -- heuristics54:35
  • Mod-05 Lec-19 Disaggregation53:45
  • Mod-05 Lec-20 Disaggregation -- time varying demand, Safety stock -- ROL for discrete demand01:01:14
  • Mod-05 Lec-21 Safety stock -- ROL for normal distribution of lead time demand47:18
  • Mod-06 Lec-22 Integrated model, ROL for normal distribution of LTD and given mean47:54
  • Mod-06 Lec-23 Safety stock reduction -- delayed Product differentiation, substitution. MOM51:11
  • Mod-06 Lec-24 Sequencing and scheduling -- Assumptions, objectives and shop settings51:35
  • Mod-07 Lec-25 Single machine sequencing. Two machine flow shop -- Johnson's algorithm54:44
  • Mod-07 Lec-26 Flow shop scheduling -- Three machines, Johnson's algorithm and Branch55:30
  • Mod-07 Lec-27 Flow shop scheduling -- heuristics -- Palmer, Campbell Dudek Smith algorithm57:26
  • Mod-07 Lec-28 Job shop scheduling -- Gantt chart, Different dispatching rules51:02
  • Mod-07 Lec-29 Job shop scheduling -- Shifting bottleneck heuristic57:20
  • Mod-07 Lec-30 Job shop scheduling -- Shifting bottleneck heuristic. Line Balancing55:58
  • Mod-07 Lec-31 Line Balancing26:57
  • Mod-08 Lec-32 Location problems -- p median problem, Fixed charge problem48:34
  • Mod-08 Lec-33 Location allocation problems in supply chain. Layout53:12
  • Mod-08 Lec-34 Quantitative models for layout, Summary47:00
  • Mod-09 Lec-35 Introduction to Supply Chain Management52:14
  • Mod-09 Lec-36 Location Problems51:43
  • Mod-09 Lec-37 Transportation and Distribution Models50:24
  • Mod-09 Lec-38 Transportation and Distribution Models(continued)50:14
  • Mod-09 Lec-39 Bin Packing and Travelling Salesman Problems51:32
  • Mod-09 Lec-40 Vehicle Routeing Problems51:06
  • Mod-09 Lec-41 Value of Information51:16

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