Supply Chain Design and Planning with Excel & Python by Haytham Omar
Supply Chain Design and Planning with Excel & Python by Haytham Omar
Course Detail
Salepage: Supply Chain Design and Planning with Excel & Python by Haytham Omar
What you’ll discover
Learn how to boost service levels while reducing manufacturing and transportation costs analytically.
Study supply chain network design.
Add optimization to your data science and supply chain expertise.
Find out how Uber, DHL, Fedex, and Amazon plan their deliveries.
Utilize the capabilities of OR and Pulp tools.
If you are unfamiliar with Python, read the introduction.
Utilize optimization to address supply chain issues
arranging the production of
scheduling shipping routes
usage of resources.
Including service level integration.
Excel
Logistics linear programming
includes a section about Python crashes!
Making full use of open source technologies, such as the hugely popular Python, is a guarantee for supply chain excellence during this era of digital transformation if you work in supply planning, logistics, strategic design, and operational planning.
Top businesses manage their supply chains by paying close attention to how suppliers, factories, warehouses, and retailers are distributed throughout planning. and a supply chain is undoubtedly there as long as a business or non-profit organization is shipping goods.
Additionally, we emphasize operational and strategic supply chain planning in this course employing optimization, which is one of the most important disciplines utilized in virtually every business, engineering, and data industry.
The success and advancement of one’s supply chain job is dependent on possessing analytical abilities, knowledge, and a data science coding language in the current world.
The course will guide you through the process of comprehending supply-chain optimization issues so you can successfully make strategic and tactical supply-chain decisions. Our courses always emphasize practical application and a do-it-yourself learning style.
Following this course, we will be able to: 1- Understand Python’s fundamentals.
2. Have knowledge of linear programming.
3. Use the linear programming Python library Pulp.
4. With the resources at our disposal, maximize corporate profit.
5. Use Python and Excel to implement production scheduling to reduce costs.
Choose the best location for the facilities.
7- Masterfully create optimization issues in Python and Excel.
8- Improve the network’s supply chain’s flow.
Optimize the supply chain network’s design in step nine.
10 – As you build up your supply chain network, keep the service level in mind.
11- Be aware of the binding restrictions and sensitivity of your supply chain decisions.
12- Using OR technologies to optimize routes for logistical flows.
6.6 GB of data
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Email marketing
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Sponsorships and paid promotions
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