Udemy Supply Chain Design and Planning with Excel Python

[0dayddl]

3.66 GB | 00:12:15 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

001 Supply chain Design (111.85 MB)
002 Supply Chain Planning (93.81 MB)
003 Curriclum (12.56 MB)
004 Strategic supply chain design-Ikea (15.19 MB)
005 Strategic Supply chain Design- Zara (44.06 MB)
006 Strategic supply chain design- Walmart (10.53 MB)
007 Strategic Supply chain design- Dell (10.34 MB)
008 Plan of attack (2.92 MB)
009 What is supply chain optimization (11.18 MB)
010 Types of Optimization Problems in supply chain (12.12 MB)
011 Mathematical formulation (17.9 MB)
012 Transportation problems (15.65 MB)
013 Resource utilization Demo (21.98 MB)
014 Manufacturing Problem (15.62 MB)
015 Model in Excel (34.69 MB)
016 Assignment (5.17 MB)
017 Assignment Answer (42.23 MB)
001 Production Planning (16.95 MB)
002 Production scheduling demonstration (16.89 MB)
003 Production Scheduling in excel (19.09 MB)
004 Opening constraints (10.86 MB)
005 Solving the production scheduling (50.49 MB)
006 Assignment (4.81 MB)
007 Answer PS (6.35 MB)
008 Global Production scheduling assignment (8.24 MB)
009 Answer (105.98 MB)
010 Summary Section 2 (3.62 MB)
001 Python (6.09 MB)
002 Downloading anaconda (12.36 MB)
003 Installing Anaconda (5.67 MB)
004 Spyder overview (78.12 MB)
005 Jupiter Notebook Overview (9.78 MB)
006 Python Libraries (22.46 MB)
001 Intro (27.3 MB)
002 Dataframes (9.33 MB)
003 Arithmetic Calculations in python (17.23 MB)
004 Lists (16 MB)
005 Dicts (13.89 MB)
006 Arrays (8.57 MB)
007 Importing Data in python (39.13 MB)
008 Subsetting dataframes (21.42 MB)
009 Conditions (11.72 MB)
010 Writing functions (16.33 MB)
011 Mapping (4.69 MB)
012 For loops (4.71 MB)
013 For-looping a function (8.13 MB)
014 Mapping on a dataframe (16.96 MB)
015 For looping on a data frame (27.35 MB)
016 Summary (18.28 MB)
017 Assignment (5.12 MB)
018 Assignment answer 1 (23.28 MB)
019 Assignment answer 2 (41.38 MB)
001 Pulp orientation (3.54 MB)
002 installing Pulp (6.83 MB)
003 Manufacturing Model in pulp (97.72 MB)
004 Assignment (3.79 MB)
005 Assignment Explanation (9.44 MB)
006 Production scheduling Orientation (3.63 MB)
007 Production scheduling in python (23.99 MB)
008 Defining Constraints (42.25 MB)
009 Model Conclusion (29.31 MB)
010 Assignment (3.94 MB)
011 Assignment Solution (25.04 MB)
001 Intro (6.36 MB)
002 Supply chain network design (20.23 MB)
003 Supply chain Design components (22.38 MB)
004 warehouse allocation part 1 (26.02 MB)
005 Warehouse allocation part 2 (66.32 MB)
006 Developing Variables in python (27.82 MB)
007 Objective function facility allocation (20.89 MB)
008 Constraints (64.21 MB)
009 Summary models (37.21 MB)
010 Model senstivity (28.15 MB)
011 Checking average distance Vs number of warehouses (96.46 MB)
012 DC extended Model (7.75 MB)
001 Linking Constraints (15.5 MB)
002 Intro to the model (25.29 MB)
003 Developing Costs (40.97 MB)
004 formulating constraints (35.71 MB)
005 Solving the model (24.55 MB)
006 Commentary (14.78 MB)
007 Level of service (25.19 MB)
008 Relaxing DCs Constraints (98.76 MB)
009 Direct Delivery option (23.85 MB)
010 Discussion on the solution (50.11 MB)
001 Importing model data (20.75 MB)
002 Constructing Variables (24.71 MB)
003 Constructing costs in model (86.47 MB)
004 Objective function (42.74 MB)
005 Demand and flow constraints (96.23 MB)
006 Linking constraints (50.28 MB)
007 Solving the model (23.81 MB)
008 Showing only variables with output (12.61 MB)
009 Setting the service level (50.02 MB)
010 Relaxing the DC constraints (48.79 MB)
011 Service level constraints (17.08 MB)
012 Binding Constraints (148.33 MB)
013 Assignment (17.2 MB)
014 Assignment answer 1 (55.04 MB)
015 Assignment answer 2 (23.93 MB)
001 Intro (13.52 MB)
002 Traveling Sales-man problem (24.8 MB)
003 Travelling sales man with ml-rose (36.43 MB)
004 Routing optimization with OR tools (36.19 MB)
005 Adding Constraints (26.85 MB)
006 Getting the results of the solution (44.82 MB)
007 for looping the solution (14.19 MB)
008 Conclusion (16.51 MB)
009 What If we remove the distance constraint (11.84 MB)
010 Capacity Constraints (12.23 MB)
011 Adding the Capacity Dimensions (28.83 MB)
012 Understanding Model index (12.69 MB)
013 For looping on vehicles (33.54 MB)
014 Capacity Constraints Display (28.04 MB)
015 Calculating total distance and total loads (36.76 MB)
016 VRPTW model (36.98 MB)
017 Adding time Dimension (36.53 MB)
018 Setting time window range (49.55 MB)
019 Instantiate route start and end (20.84 MB)
020 Getting routes and windows (42.41 MB)
021 Mapping the solution (7.36 MB)
022 Routing Example Restaurant (25.08 MB)
023 Routing Example part 2 (26.92 MB)
024 Assignment (3.69 MB)
025 Farewell and until we meet again (5.51 MB)

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Supply Chain Design And Planning With Excel & Python.
Last updated 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.22 GB | Duration: 11h 37m​

Learn transport network design, Last mile delivery and Production scheduling with excel & Python.

What you'll learn
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

Requirements
Microsoft excel
Basic understanding of supply chain

Description
"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 BlockDirector Supply Chain Management at Freudenberg Home and Cleaning Solutions GmbHIf 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 Designthe 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!HaythamRescale AnalyticsFeedback 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 MendoncaCommercial 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 NaqviHead 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 BOUREMIZPurchasing Manager at Mineral Circles Bearings

Who this course is for:
Supply chain,Logistics,Data science,Planners,Python,Optimization,Last mile delivery,Production planning

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