Advanced Diploma in Modelling and Analytics for Supply Chain Management
In this free diploma in modelling and analytic, learn how Analytics can be applied to various domains of supply chain.
Description
This free online course introduces you to the modelling and analytics in Supply Chain Management. Firstly, the course provides insights into transportation as well as warehousing modelling and analytics. This is arranged systematically and presented clearly so you will easily be able to understand the given concepts. The course gives emphasis to topics such as strategic performance improvement, inventory analytics and modelling coordination in Supply Chains.
Next, the performance of the entire Supply Chain and the analysis of Data Envelopment, as well as the various concepts involved in Inventory Management are analyzed. The course then goes on to explain the safety stock and recorder level, along with the continuous and periodic review systems. Information distortions, Six Sigma and Queuing in Coordination are discussed. This process comes under the modelling coordination in Supply Chains.
Finally, the course places emphasis on risk analytics in a Supply Network along with design and modelling of the Global Supply Chain. The advantages of tax, transhipment and flexibility; and total costs are mentioned, which helps in designing the global supply chain. Upon completion of this course, you will learn how to develop supply chain strategies and logistical capabilities that serve the needs of their customers whilst maximizing overall profitability. The Modelling and Analytics for Supply Chain Management is an advanced and informative course which will interest students and those in management, industrial and systems engineering, mechanical engineering, and related disciplines or those who have an interest in these topics. Sign up for this course and start learning today!
Start Course NowModules
Introduction to Modelling and Analytics in Supply Networks
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Introduction to Modelling and Analytics in Supply Networks – Learning Outcomes
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An Overview to Modelling and Analytics
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Introduction to Supply Chain
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Uncertainty and Risks in Supply Chain
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Decisions and Performance Measures in Supply Chain
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Introduction to Analytics in Supply Chain
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Analytics Framework Based on SCOR Model
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Design Options for Distribution Network
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Introduction to Modelling and Analytics in Supply Networks – Lesson Summary
Supplier Selection Analytics
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Supplier Selection Analytics – Learning Outcomes
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Linear Programming
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Linear Point Method
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Rating and Ranking Method
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Clustering Method
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MCDM Techniques
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Supplier Selection Analytics – Lesson Summary
Transportation Modelling and Analytics
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Transportation Modelling and Analytics – Learning Outcomes
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Transportation Cost Modelling
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Min-Max and Max-Min Model
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Maximum Flow Model
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Shortest Path and Minimal Spanning Tree Model
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Transportation Modelling and Analytics – Lesson Summary
Warehousing Modelling and Analytics
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Warehousing Modelling and Analytics – Learning Outcomes
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Decision Making for Warehouse Location
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Break Even and Centre of Gravity Model
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Ardalan Heuristic and Transportation Cost Model
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Total Cost Model
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Warehouse Layout
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Warehouse Space Calculation
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Storage Space Calculation
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Warehousing Modelling and Analytics – Lesson Summary
Strategic Performance Improvement
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Strategic Performance Improvement– Learning Outcomes
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Performance of the Entire Supply Chain
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Data Envelopment Analysis
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Strategic Performance Improvement – Lesson Summary
Inventory Analytics
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Inventory Analytics – Learning Outcomes
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Concepts in Inventory Management
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Simultaneous Production and Consumption Model
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Lost Sales
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Multiple Items Inventory Models
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Constraint on Space and Number of Orders
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Inventory Analytics – Lesson Summary
First Course Assessment
Review Systems
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Review Systems – Learning Outcomes
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Safety Stock and Reorder Level
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Continuous Review System
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Periodic Review System
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Review Systems – Lesson Summary
Transportation Systems
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Transportation Systems – Learning Outcomes
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Transport Systems in India and the World
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Transport Costing
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Public Transport Costing
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Fixing Fare for Public Transportation System
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Foreign Trade Logistics
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Transportation Systems – Lesson Summary
Multi-Criteria Decision Making and Forecasting
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Multi-Criteria Decision Making and Forecasting – Learning Outcomes
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Analytical Hierarchy Processing (AHP) Method
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Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) Method
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VIKOR Method
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ISM Method
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Forecasting Simple and Weighted Average Mean Square Error
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Exponential Smoothing Method
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Seasonality in Forecasting
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Trend Regression
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Holt's and Winters' Method
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Multi Period Forecasting
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Multi-Criteria Decision Making and Forecasting – Lesson Summary
Modelling Coordination in Supply Chains
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Modeling Coordination in Supply Chains – Learning Outcomes
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Information Distortions in Supply Chain
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Coordination and Collaboration Modelling
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Six Sigma Approach to Coordination
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Measuring the Degree of Coordination
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Modeling Coordination in Supply Chains – Lesson Summary
Risk Analytics in Supply Network Design
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Risk Analytics in Supply Network Design – Learning Outcomes
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Risks and Supply Chain Disruptions
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Modelling Risk Analytics
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Risk Analytics in Supply Network Design – Lesson Summary
Design and Modelling the Global Supply Chain
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Design and Modelling the Global Supply Chain – Learning Outcomes
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Taxation
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Tax Advantages
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Transhipment
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Flexibility
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Total Cost
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Echelons
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Design and Modelling the Global Supply Chain – Lesson Summary
Second Course Assessment
Course assessment
Learning Outcomes
By the end of this course, you will be able to:
Explain what the terms supply chain and supply management mean
Describe what supply chain networks are in Supply Chain Management
Discuss why analytics is critical to Supply Chain Management
Explain the process of modelling transportation in Supply Chain Management
Explain the process of modelling warehouses in Supply Chain Management
Identify the strategies that enhance the performance of the Supply Chain
Describe the process for managing inventories in Supply Chain Management
Explain what information distortion means in the context of Supply Chain Management
Discuss the role of Six Sigma and Queuing in Coordination
Identify the risks involved in Supply Chain Management
Describe the aim of Supply Chain Risk Management
Explain the various economic liabilities in modelling the Global Supply Chain Management
Certification
All Alison courses are free to enrol, study and complete. To successfully complete this Diploma course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Diploma course, you have the option to acquire an official Diploma, which is a great way to share your achievement with the world. Your Alison Diploma is:
Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning
Alison offers 3 types of Diplomas for completed Diploma courses:
Digital Diploma - a downloadable Diploma in PDF format, immediately available to you when you complete your purchase
Diploma - a physical version of your officially branded and security-marked Diploma, posted to you with FREE shipping
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