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Stock Control and Inventory Dynamics with Excel & Python.

سرفصل های دوره

Apply the Best forecasting model and inventory policy for all the Products in your Assortment and much more!!


1 - Introduction
  • 1 - Introduction
  • 2 - Types of inventory
  • 3 - Cycle inventory
  • 4 - Holding cost and ordering cost
  • 5 - Zara and seven eleven
  • 6 - EOQ
  • 7 - EOQOne product
  • 7 - EOQ-Variaattions.xlsx
  • 8 - EOQsame truck
  • 9 - EOQmany suppliers
  • 10 - Algorithm for flexible order subsetting
  • 11 - Algorithm for flexible order subsettingpart2
  • 12 - Product subset part3
  • 13 - Algorithm for product subsetting step 4
  • 13 - EOQ-Variaattions-solved.xlsx
  • 14 - EOQ-DISCOUNTS-UNSOVED.xlsx
  • 14 - Volume discounts
  • 15 - Volume Discounts in Excel
  • 16 - EOQ-DISCOUNTS-SOLVED.xlsx
  • 16 - marginal discounts
  • 17 - EOQ with limited time discounts
  • 18 - Limited time discounts
  • 19 - Demand Curve change with EOQ
  • 20 - Summary
  • 21 - Game plan

  • 2 - Inventory aggregation metrics and distribution
  • 22 - Introduction
  • 23 - A brief on inventory policies
  • 24 - Fill rate and service level for uncertain demand
  • 25 - Bike Co
  • 26 - Bike Co flow time and average inventory
  • 27 - Bike Co Desired service level
  • 28 - Bike co cycle service level
  • 29 - Desired fill rate
  • 30 - Inventory aggregation
  • 31 - Shopico Example
  • 32 - Scenario 1 Disaggregation
  • 33 - Scenario 2 Aggregation
  • 34 - HighMed
  • 35 - HighMed Part 1
  • 36 - HighMed Part 2
  • 37 - Inventory Cost
  • 38 - Which option is better
  • 39 - Temporal aggregation
  • 40 - Conclusion
  • 41 - Summary

  • 3 - Welcome to Python
  • 42 - Python
  • 43 - downloading Anaconda
  • 44 - Installing Anaconda
  • 45 - Spyder overview
  • 46 - Jupiter Notebook overview
  • 47 - Python Libraries
  • 48 - inventorize
  • 49 - Summary

  • 4 - Python Programming Fundmentals
  • 50 - Intro
  • 50 - Python-Data-structures-cheat-sheet.pdf
  • 51 - Dataframes
  • 51 - Section-4.ipynb.zip
  • 52 - Arithmetic calculations with python
  • 52 - online-retail2.csv.zip
  • 53 - Lists
  • 54 - Dictionaries
  • 54 - Pandas-Basics.pdf
  • 55 - Arrays
  • 56 - Importing data in Python
  • 57 - Subsetting Dataframes
  • 58 - Conditions
  • 59 - Writing functions
  • 60 - Mapping
  • 61 - For loops
  • 62 - For looping a function
  • 63 - Mapping on a DataFrame
  • 64 - For looping on a Dataframe
  • 64 - python-cheat-sheet-intermediate.pdf
  • 65 - Summary
  • 66 - Assignment
  • 66 - assignment-questions-python-fundmentals.docx
  • 66 - cars.csv
  • 66 - python-fundmentals-assignment.zip
  • 67 - Assignment answer 1
  • 68 - Assignment answer 2

  • 5 - Inventory with Python
  • 69 - Program for EOQ aalgorithm
  • 70 - Revisiting BikeCo
  • 70 - bikeco-unsolved.zip
  • 71 - Cycle service level in python
  • 72 - Expected item fill rate in python
  • 73 - Goal seek function
  • 74 - Desired fill rate
  • 74 - bikeco.zip
  • 75 - Revisiting EOQ with many suppliers
  • 75 - eoq-not-solved.zip
  • 76 - Introducing the case in python
  • 77 - EOQ with inventorize
  • 78 - Step 2 and step 3
  • 79 - global order frequency for product subsetting
  • 80 - Total cost of the system
  • 80 - eoq-solved.zip

  • 6 - Segmentation classification and inventory simulations
  • 81 - Inventory Dynamics intro
  • 82 - Why we need segmentation
  • 83 - An example in Excel
  • 84 - Product classfication
  • 85 - ABC dynamic with inventorize
  • 85 - sample.csv
  • 85 - segmentation-inventory-not-solved.zip
  • 86 - The long tail
  • 87 - Category mix on multiple products
  • 88 - Min max policy
  • 89 - Min Q and Periodic Policy
  • 90 - RsS and basestockpolicy
  • 91 - Connecting demand with service level
  • 92 - Running the simulation on all articles
  • 93 - Understanding the results
  • 93 - segmentation-inventory-solved.zip
  • 94 - Assignment
  • 94 - assignment-peridodic.zip
  • 94 - assignment-review.xlsx
  • 95 - Assignment solution
  • 95 - assignment-peridodic.zip
  • 96 - Summary

  • 7 - Which forecasting is better for a specific inventory policy
  • 97 - Introduction
  • 98 - Forecasting demonstraion
  • 99 - Max Policy
  • 100 - Preparing the notebook
  • 100 - inventory-with-forecasting-not-solved.zip
  • 101 - Preparing for forecasting
  • 102 - Forecasting our first sku
  • 103 - Forecasting all SKUs
  • 103 - data-forecast.xlsx
  • 104 - MaxpolicyDynamic
  • 105 - Inventory Comparison between KNN and ARIMA
  • 106 - Assigning cycle service level and preparing for simulation
  • 107 - Running the simulation
  • 108 - Which forecast is better in terms of inventory
  • 108 - inventory-with-forecasting-not-solved.zip

  • 8 - Seasonal Inventory
  • 109 - Intro
  • 110 - Seasonal Products
  • 111 - Point of Maximum profit
  • 112 - How much I will sell
  • 113 - Dataable
  • 114 - Critical ratio
  • 115 - Critical ratio in excel
  • 116 - Whats actually happening
  • 117 - Critical ratio in python
  • 117 - retail-clean.csv.zip
  • 117 - section17.zip
  • 118 - Preparing the data for MPN
  • 119 - Creating margin of error
  • 120 - Applying MPN on all data
  • 121 - Conclusion
  • 122 - Seasonal inventory summary
  • 123 - Assignment solution
  • 123 - seasonal-inventory-answer.zip
  • 123 - seasonal-inventory-question.docx
  • 124 - Seasonal inventory answer
  • 125 - Markdown model by JWalker
  • 126 - Markdown model in python
  • 127 - Final note
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    ایمیل شما:
    تولید کننده:
    شناسه: 19509
    حجم: 7192 مگابایت
    مدت زمان: 893 دقیقه
    تاریخ انتشار: ۱۳ مهر ۱۴۰۲
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