Mô tả

"I attended this course with high expectations. And I was not disappointed. It´s incredible to see what is possible with Python in terms of supply chain planning and optimization. Haytham is doing a great job as a trainer. Starting with explanation of basics and ending with presentation of advanced techniques supply chain managers can apply in real life."

Larsen Block

Director Supply Chain Management at Freudenberg Home and Cleaning Solutions GmbH



If you are working in supply planning, logistics, strategic design, and operational planning, making full use of open source technologies such as the widely popular Python is a guarantee for supply chain excellence through this era of digital transformation.

Top companies manage their supply chain by having a clear focus on planning allocation of suppliers, manufacturing facilities, warehouses, and retailers. and as long as a company or an NGO is delivering products, then for sure, there is a supply chain.

And in this course, we focus on strategic and operational supply chain planning using optimization which by itself is one of the biggest disciplines used in almost all business, engineering, and data industries.

As a supply chain and logistics professional in this modern age, having analytical skills, know-how, and a data science coding language is imperative for the success and progress of one's supply chain career.


The course will take you to step by step on understanding optimization problems in supply-chain that can help you make strategic and tactical supply-chain decisions effectively. As always, our courses are highly practical and follows a learn by doing approach.

After this course we will be able to:

1- Understand the basics of python.

2- Understand linear programming.

3- Work with python library Pulp for linear programming.

4- Maximize the profit of our business given the resources available.

5- Implement production scheduling to minimize cost in excel and python.

6- Decide on the optimal location of facilities.

7- Develop Optimization problems Masterfully in excel and python.

8- Optimize the flow of the supply chain network.

9- Optimize the design of the supply chain network.

10-  Develop your supply chain network with the service level in mind.

11- Understand the sensitivity and the binding constraints of your supply chain decisions.

12- Route optimization for logistical Flows with OR tools.



Course Design

the course is designed as experiential learning Modules, the first couple of modules are for understanding optimization and python followed by supply chain applications using optimization.Don't worry if you don't know python, there are is a python fundamental section in the course to get you up and running with python.





Looking forward to seeing you inside and hope you enjoy the class.

Happy Supply Chain mining!

Haytham

Rescale Analytics


Feedback from Clients and Training:


"In Q4 2018, I was fortunate to find an opportunity to learn R in Dubai, after hearing about it from indirect references in UK.


I attended a Supply Chain Forecasting & Demand Planning Masterclass conducted by Haitham Omar and the possibilities seemed endless. So, we requested Haitham to conduct a 5-day workshop in our office to train 8 staff members, which opened us up as a team to deeper data analysis. Today, we have gone a step further and retained Haitham, as a consultant, to take our data analysis to the next level and to help us implement inventory guidelines for our business. The above progression of our actions is a clear indication of the capabilities of Haitham as a specialist in R and in data analytics, demand planning, and inventory management."


Shailesh Mendonca

Commercial lead-in Adventure AHQ- Sharaf Group



“ Haytham mentored me in my Role of Head of Supply Chain efficiency. He is extremely knowledgebase about the supply concepts, latest trends, and benchmarks in the supply chain world. Haytham’s analytics-driven approach was very helpful for me to recommend and implement significant changes to our supply chain at Aster group”

Saify Naqvi

Head of Supply Chain Efficiency



“I participated in the training session called "Supply Chain Forecasting & Management" on December 22nd 2018. This training helped me a lot in my daily work since I am working in Purchase Dpt. Haytham have the pedagogy to explain us very difficult calculations and formula in a simple way. I highly recommend this training.”

Djamel BOUREMIZ

Purchasing Manager at Mineral Circles Bearings


Bạn sẽ học được gì

Master supply chain analytics

Learn how to increase service level while minimizing cost analytically for transportation and production.

Learn how to design supply chain networks.

Add optimization to your Supply chain and Data science skills

Learn how Uber, DHL, Fedex and Amazon schedule their shipments.

Leverage the power of Pulp and OR tools

Introductory section on Python if you are not familiar with Python

Tackle supply chain problems with optimization

Production scheduling

Routes scheduling for shipments

Resource utilization.

Integration of service level.

Excel

Supply chain

Linear Programming

Python

Yêu cầu

  • Microsoft excel
  • Basic understanding of supply chain

Nội dung khoá học

9 sections

Strategic Supply chain design

18 lectures
Supply chain Design
05:02
Supply Chain Planning
04:13
Curriclum
03:40
Strategic supply chain design-Ikea
05:43
Strategic Supply chain Design- Zara
06:45
Strategic supply chain design- Walmart
03:18
Strategic Supply chain design- Dell
03:44
Plan of attack
00:46
What is supply chain optimization
04:10
Types of Optimization Problems in supply chain
03:45
Mathematical formulation
04:05
Transportation problems
02:49
Resource utilization Demo
05:57
Manufacturing Problem
05:09
Model in Excel
09:19
Assignment
02:06
Assignment Answer
08:43
Quiz on chapter 1
12 questions

Production Planning

11 lectures
Production Planning
04:06
Production scheduling demonstration
03:56
Production Scheduling in excel
05:20
Opening constraints
03:07
Solving the production scheduling
08:27
Assignment
01:12
Answer PS
01:40
Global Production scheduling assignment
03:08
Answer
15:43
Summary Section 2
02:21
Production Scheduling problem
11 questions

Installing Anaconda

6 lectures
Python
02:36
Downloading anaconda
01:34
Installing Anaconda
01:03
Spyder overview
11:38
Jupiter Notebook Overview
02:54
Python Libraries
05:30

Python Crash Section

19 lectures
Intro
07:24
Dataframes
02:33
Arithmetic Calculations in python
08:30
Lists
06:34
Dicts
05:01
Arrays
03:14
Importing Data in python
07:57
Subsetting dataframes
08:40
Conditions
04:28
Writing functions
08:00
Mapping
02:14
For loops
02:16
For-looping a function
04:14
Mapping on a dataframe
05:41
For looping on a data frame
08:17
Summary
08:34
Assignment
02:10
Assignment answer 1
05:44
Assignment answer 2
09:58

Introducing Pulp

11 lectures
Pulp orientation
01:21
installing Pulp
01:29
Manufacturing Model in pulp
10:03
Assignment
01:10
Assignment Explanation
03:01
Production scheduling Orientation
00:59
Production scheduling in python
05:38
Defining Constraints
07:57
Model Conclusion
03:28
Assignment
01:28
Assignment Solution
06:03

Supply Chain Network Design

12 lectures
Intro
01:43
Supply chain network design
06:21
Supply chain Design components
06:04
warehouse allocation part 1
07:26
Warehouse allocation part 2
10:41
Developing Variables in python
09:33
Objective function facility allocation
05:45
Constraints
07:56
Summary models
04:55
Model senstivity
07:31
Checking average distance Vs number of warehouses
09:53
DC extended Model
04:38

Advanced Network Modelling in Excel

12 lectures
Linking Constraints
06:54
Intro to the model
03:43
Developing Costs
09:19
formulating constraints
08:07
Solving the model
05:06
Commentary
02:14
Level of service
05:17
Relaxing DCs Constraints
09:37
Direct Delivery option
06:04
Discussion on the solution
05:20
Sportstuff.com
3 questions
CoolWipes
3 questions

Advanced Network Models with Pulp

16 lectures
Importing model data
07:22
Constructing Variables
08:08
Constructing costs in model
08:19
Objective function
08:24
Demand and flow constraints
13:24
Linking constraints
05:54
Solving the model
02:14
Showing only variables with output.
03:03
Setting the service level
05:56
Relaxing the DC constraints
04:55
Service level constraints
04:20
Binding Constraints
12:15
Assignment
04:18
Assignment answer 1
06:49
Assignment answer 2
05:28
Pulp Network Design Exam
19 questions

Route optimization

25 lectures
Intro
03:23
Traveling Sales-man problem
05:45
Travelling sales man with ml-rose
08:26
Routing optimization with OR tools
08:52
Adding Constraints
05:05
Getting the results of the solution
10:32
for looping the solution
04:32
Conclusion
03:56
What If we remove the distance constraint?
02:19
Capacity Constraints
02:52
Adding the Capacity Dimensions
06:28
Understanding Model index
02:57
For looping on vehicles
08:01
Capacity Constraints Display
06:41
Calculating total distance and total loads
09:01
VRPTW model
09:00
Adding time Dimension
07:10
Setting time window range
09:41
Instantiate route start and end
03:46
Getting routes and windows
10:36
Mapping the solution
03:41
Routing Example: Restaurant
04:25
Routing Example part 2
05:18
Assignment
01:21
Farewell and until we meet again
01:36

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