Learn scientific procedures and optimization models for improved dynamic in store network with Modelling And Analytics For Supply Chain Management by Swayam.
This Modelling And Analytics For Supply Chain Management Online Course centers around the utilization of logical strategies for deciding effective solutions for issues related to supply networks thinking about the limitations of demand and supply. The course focuses on the utilization of advanced procedures for limit allotment and assessment of production network plan choices under vulnerability and facility location.
The destination of the Modelling And Analytics For Supply Chain Management Training course is to comprehend the idea of supply networks, the objective of supply networks, and clarify the effect of supply chain choices with respect to the achievement of a firm. The course will provide the candidate in-depth knowledge about the concept of safety stock within inventory management under uncertainty.
The Modelling And Analytics For Supply Chain Management Programme will have two instructors Prof. Anupam Ghosh and Prof. Kunal Kanti Ghosh a faculty member of IIT Kharagpur. They will deliver the lectures and be a mentor to the students. The programme offered by Swayam is completely free to pursue.
The Highlights
Instructors from IIT Kharagpur
E-certificate
Postgraduate level
Free course
Course type elective
Online learning
Self paced learning
12 weeks of course duration
Certified course by Swayam
Certificate of completion from IIT Kharagpur and NPTEL
The Modelling And Analytics For Supply Chain Management Fees is nil which means candidates need not pay any amount for pursuing the programme.
The candidate has to pay an exam fee for the programme that is Rs. 1,000.
Modelling And Analytics For Supply Chain Management Fees details -
Fee structure
Amount in Rs.
Exam Fee
Rs. 1,000
Programme Fees
Free
Eligibility Criteria
Certification Qualifying Details
The Modelling And Analytics For Supply Chain Management Certification will be awarded to candidates who will appear for a final end-term proctored examination once the programme completes. It is essential for candidates to achieve a minimum of 25% in assignments and 75% in the examination. The learner who will not adhere to the guidelines and requirements will not be provided with a certificate of completion.
What you will learn
Supply Management
The applicant in this course will learn and build up their comprehension on the topic referenced underneath after the Modelling And Analytics For Supply Chain Management Certification course completion:
The candidate will learn about the utilization of logical strategies for deciding effective solutions for issues related to supply networks thinking about the limitations of demand and supply.
The student will be able to know the assessment of production network plan choices under vulnerability and facility location.
They will learn about the MILP formulation and the foreign exchange risks.
The student will be able to understand transportation modeling and analytics.
The participant will become familiar with the performance measures for efficiency and effectiveness.
They will learn the skill to optimize the non-linear warehouse space allocation.
The learner will get to understand the elementary concepts related to inventory management.
Who it is for
The Modelling And Analytics For Supply Chain Management Training course can be taken by the student mentioned below:
Candidate from Industrial and systems engineering, Mechanical engineering, Management and related field can take up this course.
Admission Details
The candidate has to follow these below discussed steps to take admission in the Modelling And Analytics For Supply Chain Management Online Course:
Step1. Click on the below-given link below to direct yourself to the course portal https://onlinecourses.nptel.ac.in/noc25_mg48/preview
Please note: Right now the enrollment process is closed. The course is ongoing. Candidates can apply and register once the enrollment opens.
The Syllabus
Introduction to Modeling and Analytics in Supply Networks
Introduction to Supply Network
Performance Measures for Efficiency and Effectiveness
SCOR model
Strategic Fit and Scope
Types of Distribution Networks
Analytics in Management
Design of Distribution Networks
Supplier Selection Analytics
Linear Programming
Rating method
Ranking method
Borda Count
Clustering
Goal Programming and related multi-criterion decision making (MCDM) techniques
Transportation Modeling and Analytics
Transportation models
Route planning
Transshipment
Shipment schedule
Flow path optimization.
Warehousing Modeling and Analytics
Warehouse location problem
MILP formulation
Location with foreign exchange risks
Space calculation for warehouse
Non-linear optimization for warehouse space allocation
Strategic Performance Improvement
Data Envelopment Analysis for competitive comparisons among multiple warehouses
Service units and formulation of strategic action plans for improving the efficiencies of non-performing DMUs
Stochastic Frontier Analysis.
Inventory Analytics - I
Elementary Concepts related to Inventory Management
Economic Order Quantity (Instantaneous Replenishment)
Economic Production Lot Size
Inventory Model with Planned Shortages (Back-Orders)
Inventory Management under Uncertainty – Concept of Safety Stock
Continuous Review System
Periodic Review System
Inventory Analytics - II
Newsvendor Model
Performance Measures: Expected Lost Sales, Expected Sales, Expected Leftover Inventory, Expected Profit, Fill Rate, In-Stock Probability, and Stock-Out Probability
Inventory Analytics - III
Choosing an Order-up-to Level to Meet a Target Service Level
In-Stock Probability
Desired Fill-Rate
Inventory Analytics - IV
Assemble-to-Order
Make-to-Order and Quick Response with Reactive Capacity
Reducing Mismatch Costs with Make-To-Order
Modeling Coordination in Supply Chains
Information Distortion in Supply Network and Bull-Whip Effect
Coordination and collaboration modeling in supply networks
Risk Analytics in Supply Network Design
Mapping the riskiness profile of a country
Taxation
Mapping the riskiness profile of possible international routes
Designing the route plan based on riskiness profile
Design and Modeling the global supply chain
Design and optimization of global supply chain networks