Supply Chain Design and Planning with Excel & Python by Haytham Omar
Salepage : Supply Chain Design and Planning with Excel & Python by Haytham Omar
Archive : Supply Chain Design and Planning with Excel & Python by Haytham Omar Digital Download
Delivery : Digital Download Immediately
What you’ll discover
Learn how to improve service while reducing costs in transportation and manufacturing.
Discover how to create supply chain networks.
Optimize your supply chain and data science abilities.
Discover how Uber, DHL, Fedex, and Amazon plan their delivery.
Use the power of Pulp and OR tools.
If you are unfamiliar with Python, this section will introduce you to it.
Optimize your supply chain to solve difficulties.
Production planning
Route planning for shipments
Resource use.
Service level integration.
Excel
The supply chain
Linear Programming (LP)
Python Crash has been integrated!
If you work in supply planning, logistics, strategic design, or operational planning, utilizing open source tools such as the widely used Python is a sure way to ensure supply chain excellence in this era of digital transformation.
Top organizations manage their supply chain by concentrating their efforts on the strategic placement of suppliers, production facilities, warehouses, and retailers. And as long as a firm or an NGO is distributing goods, there is undoubtedly a supply chain.
And in this course, we will concentrate on strategic and operational supply chain planning utilizing optimization, which is one of the most widely utilized disciplines in practically all business, engineering, and data industries.
In this day and age, having analytical abilities, know-how, and a data science coding language are essential for the success and advancement of one’s supply chain job.
The course will guide you through the process of comprehending supply-chain optimization challenges so that you can make successful strategic and tactical supply-chain decisions. Our classes, as always, are extremely practical and follow a learn by doing approach.
After completing this course, we will be able to:
1- Learn the fundamentals of Python.
2- Recognize linear programming.
3- Use the Python library Linear programming using pulp.
4- Maximize our company’s profit given the resources we have.
5- Use excel and Python to implement production scheduling to reduce costs.
6- Determine the best site for facilities.
7- Create Optimization issues Excel and Python expertise.
8- Improve the supply chain network’s flow.
9- Improve the supply chain network’s design.
10- Build your supply chain network with service quality in mind.
11- Recognize the sensitivity and restrictions of your supply chain decisions.
12- Using OR technologies, optimize routes for logistical flows.
The file size is 6.6GB.
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