Master Program in Logistic & Supply Chain Management + 4 Certifications

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Key Highlights

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CURRICULUM HIGHLIGHTS

Logistics and Supply Chain Management

Indian Economy | Sectors- Agriculture | Industry | Services| Business Cycle| Types of Businesses- B2B, B2C, C2C; Operating Environments|
Different Functions in Business| Production Systems| Importance of Supply Chain Management

History and Evolution of Logistics| Supply Chain Management- Definition| Functions|Objectives; Process Views of Supply Chain Management – Cyclic View|Pull-Push view; Decision Phases- Strategic| Tactical | Operational;Drivers of Supply Chain- Logistical and Cross Functional; Types of Supply Chain| Achieving Strategic
Fit| Implied Demand Uncertainty

Logistics Functions- Transportation–Signifcance in SCM| Modes of Transportation– Rail, Road, Pipelines, Water, Air, Multimodal | Advantages & Limitations| Types of Truckload FTL| LTL| Inbound and Outbound distribution| Types of Distribution networks- Direct Shipping| Milk Run and Cross Docking Strategies Warehousing – Objectives, Functions| Types Concept of SKUs| Warehousing Principles & Best Practices in Receiving| Shipping| Order Picking| Storage & Put away| Warehouse Layout Planning| Order Processing –Role of IT|Material Handling| Warehouse Management Systems

Inventory – Concept| Need| Types- Raw Materials| WIP| Finished Goods| Inventory models- Probabilistic and Deterministic models| Lot sizing| EOQ| EPQ, Safety Stock| Complete Aggregation| Tailored Aggregation|Selective Inventory Control Techniques- ABC, FSN, VED, SDE, GOLF, SOS, HML analysis

Concept of In-house and Outsourcing| Types of Outsourcing| Purchase Procedures| Introduction to Export and Import| INCO terms| Supplier Development| Supplier Assessment and Vendor Rating| Negotiation Strategies| Tenders| Frameworks for managing suppliers and outsourced products/ services|3PL and 4PL

Modelling by using Microsoft’s Solver ADD-IN|Logistics Modelling – Transportation Model| Transshipment model| Route optimization- Traveling Salesman Problem|Vehicle Routing Problem| Network Design – Warehouse Optimization|Facility Location Models

ERP- Enterprise Resource Planning, Barcode and QR-Code Technologies| RFID applications in Inventory and Transactions Management|Digital Supply Chains| E-Commerce Supply Chain| Role of Artifcial Intelligence & Machine Learning in to Supply Chains| Block Chain Technology- Traceability| Decentralized Distributed Systems

Closed Loop Supply Chains| Cold Supply Chain- Cold storage and Cold movement in Food & Pharmaceutical Industry| Liquid Supply Chains| Reverse Logistics- e-Commerce| Green and Sustainable models| Global Supply Chain Management| Agile/ Flexible supply chains

Forecasting- Time Series methods, Aggregate Planning- Chase, Level and Hybrid strategy, Trend Analytics, Supply analytics, Inventory analytics , Demand analytics, Logistics and Distribution Analytics and practical case studies

Learn Management Philosophy and Principles, Toyota’s Production System, Blend of Lean Concepts and Supply Chain, Supply Chain Risk Management, Innovations in Supply Chain Management and Industry Case Studies

Operations Management

How businesses work? How they operate differently? | EveryBusiness is done in UNIQUE way but GOAL of all businesses is to
make profit today and tomorrow | Functions in Business and Roleof Operations in Business Global Operations

Concept of Process and Operation in Manufacturing and Services | Process Mapping SIPOC (Supplier Input Process Output Customer) | 5 M Resources Man, Machine, Material, Methods , Measure | Efficiency & Effectiveness, Utilization, Productivity Types Labor , Capital, Material | Corporate & Business Strategy, Operations Strategy Framework | Functions in Operations Production, Planning, Quality, Maintenance etc.

Manufacturing Environment Types ETO, MTO, ATO & MTS | Production Systems Project Type, Job shop, Batch Production, Mass Production, Continuous Production | Characteristics and Applicability of each Production System | Competitive Strategies Cost Leadership, Differentiation, Best Value Strategy | Order Winners & Order Qualifers Competing on Cost,Quality, Flexibility, Speed | Process choice Select the appropriate production system, Process Planning

Importance of Location in Business to become successful | Nature of Location Decision | Factors aecting Facility Location | Single & Multiple Facility Location Models | Plant Layout, Types of Plant Layout: Product, Process, Fixed Position, Hybrid Cellular, FMS etc | Systematic Layout Planning P Q Analysis, Flow of Materials Analysis |Service Operations

Demand, Types Dependent and Independent |Forecasting Need in business, Methods of Demand Forecasting | Qualitative Forecasting Survey & Judgmental, Delphi, Expert Opinion | Quantitative Forecasting Causal Methods Input Output Method, Leading Indicators Method | Time Series Analysis Moving Average,
Exponential Smoothing, Regression Method | Holts Model, Winters Model ( Seasonality , Trend ) | Measuring Errors in Forecasting MAD, MFE, MSE & MAPE | Forecasting , Data Analytics and Decision Making in Business

Scope of Sales & Operations Planning ( Aggregate Planning ) | Need and Advantages of Aggregate Plan | How to Develop an Aggregate Plan | Detailed Capacity Requirement Planning | Exercises based on Aggregate Planning | Aggregate Planning Strategies, Pure Strategies Chase, Level, Mixed Strategies | Capacity Planning and Investment Decisions | Long term and Short term Capacity Planning strategies, Equipment Selection

Operations/ Production Planning Control PPC | Functions, Operations Planning Control Framework | Material Requirement Planning (MRP I) | Inputs to MRP Master Production Schedule( MPS), Bill of Materials (BOM Types of BOM, BOM | Explosion, Inventory Transaction Files, MRP Processin Time Phased Operation Plan | Numerical on BOM Explosion Netting Requirements, Lot sizing methods |Enterprise Resource Planning Operations Module Production Planning

Scheduling v/s Loading, Scheduling Types Forward Scheduling Backward Scheduling | Scheduling Techniques Single machine scheduling SPT, WSPT, Slack per operations, Critical Ratio, EDD Evaluate lateness, tardiness | Minimizing tardiness heuristics, LPT for multiprocessing machines |Johnson’s method Johnson’s rule for 2 3 and M machines sequencing problem | Job shop scheduling, Flow shop Modeling | Minimize machine Idle Machine Method | Network scheduling of jobs on parallel processing similar Machines

Quality Concept and Perception, Need of Controlling Quality | QC Tools Cause and effect diagram (also known as the “fishbone
diagram” or Ishikawa diagram), Check sheet,Control chart, Histogram, Pareto chart, Scatter diagram, Stratication | Quality Control Techniques, Control Charts For Variable and Attributes | Inspection, Acceptance Sampling | Six Sigma Methodology DMAIC Approach | Maintenance Types : Breakdown, Preventive, Predictive, Autonomous Maintenance | Reliability of Equipment, Replacement Analysis |Total Productive Maintenance TPM 8 Pillars

Statistics for Engineers and Managers | Descriptive , Prescriptive and Predictive Analytics | Operations Research Optimizations Methods | Product Mix Strategies using Linear Programming | Queuing and Scheduling Simulations in factory | Data Visualization, Interpretation and Decision Making | Use of Free Optimization Engines for Analytics

Just in Time Manufacturing | Total Quality Management | Lean Management Computer Integrated Manufacturing System | Enterprise Resource Planning, Cloud ERP | Industry 4.0 , IoT in Business Operations | Linking Operations strategy to Corporate strategy

Certifed Lean Six Sigma Green Belt
Basics and History of Six sigma
Need of Six sigma tool to any Industry
Six Sigma & organizational Level Hierarchies, Business targets
DMAIC overview and Lean principles, Calculations of six sigma levels
Diference between Lean & six sigma
DMAIC and DMADV /DFSS

Define Phase overview How to identify the project as Six sigma Green Belt Project
Voice of Customer Determine CTQ Develop project charter Process mapping –
SIPOC , COPIS , Flow chart applications DPMO Calculations and Exercise on Sigma
Levels Calculation COPQ calculations One Case study on Define phase

Measure phase Overview
Data Types
Basics on Probability and statistics definitions
Population and sampling
Data collection Plan
Gemba Audit
Measurement system Analysis basics
Process capability Indices and calculations on Cp , Cpk
One case Study on Measure Phase
Analyse Phase overview
Data Analysis
Histogram , Box Plot , Project Examples
Root Cause Analysis -Cause and effect diagram , Why Why Analysis (5 Whys)
Hypothesis testing, Basics on each tool applications
Minitab oriented case study on Hypothesis testing
(a) One sample T test (b) Two sample T test
Improve Phase overview
Generating creative solution ideas concepts
Lean Tools application while selecting solutions
FMEA Concept
Basics on Design of Experiments
Case study on Improve phase
Control Phase overview
Statistical Process Control (SPC)
Control Charts and different types of charts and applications
Applications of Lean tools in control phase
Standardization , Horizontal Deployment concept
Control Plan , Work instructions
Case study on Control Phase
Certifed Lean Six Sigma Black Belt
Pre –Requirements/Requisites for LSSBB Course
Difference Between Green Belt and Black Belt and Master Black Belt
Roles and Responsibilities of Six Sigma Teams in each level
Data Driven Six sigma concepts and traditional Quality concepts How to Select Project as Black Belt project
Define Phase overview for DMAIC , DFSS
Concept of DMAIC , DFSS for any project
VOC , Quality Function deployment
Kano Model
Concept of DMAIC , DFSS Projects and Examples
Case study project on DFSS project
Measure phase Overview
Data Types and Measures of Central tendency
Dispersion concept
Central Limit Theorem
Measurement system Analysis Concept
Gage R&R Concept
Continuous MSA , Attribute MSA
Normal and Non Normal data One case Study on Measure Phase
Analyse Phase overview
Data Analysis
Normal data
Non Normal data
How to check Normality in data through Minitab
Hypothesis Testing Criteria
Null and Alternate Hypothesis
Type
Error Type
Error
Significance Level (α) ,β and Power
P Value, and Acceptance and Rejection Conditions
Sample Size Determination for Tests , Sample z Test ,Test of Equality of Variances
Sample t Test ,Paired T Test
Correlation ,Regression Analysis
Simple/Linear Regression Analysis
Multiple Regression Analysis
Anova -1 way Anova
2 way Anova with replicates
Non Parametric Hypothesis Test a. Mann Whitney Test b. Wilcoxon Test c. Kruskal Wallis d. Mood’s Median
Case study on each tool through Minitab
Improve Phase overview
Solution Generation, Design of Experiments a. Generate solutions , Brainstorming the solutions prioritization b. Out of the box thinking c. Design of experiments
Design of Experiments a. Two Level factorial experiments b. Full factorial experiments c. DOE with Curvature d. Response surface methods i Piloting techniques and FMEA analysis a. Risk Mitigation b. Test solutions c. Pilot solutions d. Refine solutions e . FMEA, Error proving
Measurement System Reanalysis a. Gage R & R b. Cost benefit analysis
Case study on applicable tools through Minitab
Control Phase overview
Statistical Process control a. SPC Chart selection b. SPC Chart analysis
Documentation
Control Plan
Case study on applicable tools through Minitab
Project Management

What is project I Program I Portfolio I Details of PMP exam

Role of PM with respect to Industry I Disciplines I Project I Organization

Develop Project Charter I Develop Project Management Plan I Direct and Manage Project Work I Manage Project Knowledge I Monitor and Control Project Work I Perform Integrated Change Control I Close Project

Collect Requirements  | Define Scope | Create WBS | Validate scope | Control Scope

Plan schedule Management | Define activities  | Sequence Activities | Estimate Activity Durations I Develop Schedule I Control Schedule 

Plan Cost Management I Estimate Costs I Determine Budget I Control Costs

Plan Quality Management I Manage Quality I Control Quality

Plan Resource Management I Estimate Activity Resources I Acquired Resources I Develop Team I Manage Team I Control Resources

Plan Communications Management I Manage Communications I Monitor Communications

Plan Risk Management I Identify Risks I Perform Qualitative Risk Analysis I Perform Quantitative Risk Analysis I Plan Risk Responses I Implement Risk Responses Monitor Risks

Plan Procurement Management I Conduct Procurements I Control Procurements

Identify Stakeholders I Plan Stakeholder Engagement I Manage Stakeholder Engagement I Monitor Stakeholder Engagement

Agile Scrum Master
This will cover introduction to Agile
Agile Mindset
Agile Manifesto and 12 principal on which Agile is based-on
This will also cover other Agile Framework
This will cover introduction to Scrum Process Flow
Scrum Framework
Scrum values
Scrum Roles & Responsiblities
Common Artifacts like Product Backlog
This will cover introduction will cover Product Incremental
Sprint Planning Sprint Execution
Daily Scrum
Sprint Review Meeting
Retrospective Meeting
Burndown charts
This will cover introduction will cover Agile Framework
Scrum for complex projects and options for Scaled Agile
Business Analysis
Business Analyst – Who, What, Why? | BA – qualities, skills, roles, responsibilities | Fundamentals of Business Analysis | Hierarchical Structure of IT Team | IIBA, BABOK, CBAP, CCBA Overview | CMMI Overview | Project Stakeholder | Types of Stakeholder | Software Project and Types of Software Project | Software Contract and Types of Software Contract

Introduction of SDLC | Need of a BA in SDLC | Phases of SDLC | “SDLC Methods | Waterfall Model and Agile, Scrum |  Iterative and Incremental |V Model and Spiral Model” |”SDLC Pre-requisites and Activities | Common Criteria and Deliverables” | Software Maintenance lifecycle model |Software testing lifecycle model

Why do we need good Requirements | Why do Project Fail? | Importance of Requirement– Statistics | What is Requirements Engineering | Role of a Business Analyst

What are requirements? And Characteristics of Requirements | Types of Requirements |Business Requirements | User Requirements and System Requirements | Functional Requirements and Non-Functional Requirements Implementation Requirement and UI Requirements

Initial Exploration | Form Business Requirements | Provide Solution to satisfy BusinessRequirements | Create Functional Specifications/Use Cases | Validate Requirements with Customer | Form SRS and Seek Approval | Requirements Framework

Sources of Requirement Elicitation | Skills for Requirement Elicitation | Stakeholder Identification | Surveys and Questionnaire | Interviewing and Focus Group Interviews | Brainstorming and Reverse Engineering | Prototyping and Wire Frames | JAD – Joint Application Development | Observation and Task Analysis | Domain Analysis and Persona Challenges in Requirement Elicitation

Classifying and Prioritizing Requirements | Fish Bone Diagram – Causal Effect | Pareto’s Diagram – 80:20 Rule | Moscow Prioritization | Kano Analysis | Requirements Allocation and Validation | Requirements Pre-Review and Review | Requirements Walkthrough and Sign Off

How to write Business Requirement document? | How to write Software Requirement specification | Introduction to Software Requirement Specification | Understanding SRS syntax with IEEE Standards | What are Use Case and Use Case Narrative? | Relationship between Use Cases | How to write Use Cases? | Use Case Narrative Flows – Primary Flow Alternative Flow, | Exceptional Flow|Activity Diagram,Class Diagram, E-R Model, Sequence Diagram, State Diagram, Collaboration Diagram

Business Process of existing system | GAP Analysis – PIECES Framework | Domain Properties and Stakeholders | Feasibility Study | Evaluation of Alternatives using Cost –Benefits Analysis

Use case Description and Use Case Diagram | Activity Diagram | What are Use Case and Use Case Narrative? |Relationship between Use Cases | How to write Use Cases? | Use Case Narrative Flows – Primary Flow, Alternative Flow, Exceptional Flow | Pre-condition, Post-condition, Exception handling and Triggers

Sequence Diagram | Class Diagram | Software Requirement Specification

RTM – Requirements Traceability Matrix | Requirements Change Management |Requirements Risk Management | Impact Analysis

Different dimensions of scope | Managing Scope at different stages of the Project Product Scope and Project Scope | Issues in scope management | Measurement of
Scope and Metrics

Steps in Risk Management | Risk Identification | Risk Analysis and Prioritization Risk Response – Strategy, Actions & Response Owners | Risk Monitoring and Control | Risk Management Documents

Introduction to Estimation | The Importance of Estimation | What is Estimation? | The Estimation Process Overview | Problems with Estimations | Estimation Techniques

Importance of CEM | Traditional and modern view | Understanding Customer and Managing Expectations | Issues in Customer Expectation Management | Handling
Dicult Situations | Expectation Management Life-Cycle

Quality Management System | Concept of Quality | Metrics and Measurements | Defect Prevention | Defect analysis tools and techniques

Communication: Introduction | Email Communication | Teleconference and Meetings | Assertiveness and Scenarios

Understanding IT project hierarchy | Project Charter and Requirements Process | RACI Matrix and Requirements Planning | Work Efforts & Estimations | Managing Requirements BA’s plan to feed into Project Plan

Define Prototyping and Importance of prototyping | Types of Prototyping | Prototyping as methodology | User Interface Prototyping |Advantage and Disadvantages of Prototyping

Business Requirement Document (BRD) | Use case document (USD) | Software Requirement Specification Document (SRS) | Change Request Process Document | Functional Requirement Specification (FSD) | Business Process Questionnaire Document Project Requirement Management and development process Document | Scope management Document | Requirement Traceability matrix document

Use Case Diagram and Class Diagram | Sequence Diagram and Collaboration Diagram |Activity Diagram and State Diagram

Rational Requisite Pro | Microsoft Visio – UML Tool | Team Foundation Server (TFS) |JIRA – Agile Tool | SVN – Configuration Management Tool | Axure – Prototype Tool

The Product Backlog Creation | High-level Project and Process Plan | Sprint Planning Meeting | The Sprint and Daily Scrum Meetings | Sprint Review Meeting | Sprint Retrospective | Next Sprint and Repeat | Post-Sprint Functional Testing by PO | PrereleaseTesting prior to Release to Customer | Release to Customer

Requirement Development Process – For New Development Project | Requirement Management Process – For Maintenance Project | Change Request (CR) Process

What is Project Management? | Project Management Phases | Project Management Knowledge Areas | Project Management Tools

BABOK Introduction | BABOK Knowledge Areas | Business Analysis Planning | Enterprise Analysis | Requirement Elicitation | Requirement Analysis | Solution Assessment and Validation | Requirement Management and Communication

Agile Perspectives | Business Intelligence Perspectives | Information Technology Perspectives | Business Architecture Perspectives | Business Process Management
Perspectives

Data Analytics in Logistics & SCM

Data Analytics across Domains | What is Analytics? | Types of Analytics | AI vs ML vs DL vs DS

Introduction to statistics and Central Limit Theorem | Measures of Central Tendancies and Measures of Spread | Descriptive Statistics with Real Time Examples | Measuring Scales | Inferential Statistics with Real Time Examples

Hypothesis Testing and Goodness of Fit test | Introduction to Statistical Tests | Statistical Test with Real Time Example | Analysis of Variance(ANOVA) & Analysis of Covariance (ANCOVA) | Probability Theory for Data Analytics | Types of Probability Distribution

Projects

LMS Capstone Projects

Logistics and Supply Chain Management

Detailed working of any company and interdependence of various departments in the company

Logistics and Supply Chain Management

Comprehensive analysis of end to end supply chain of Apple, GE Healthcare, Amazon and . McDonalds.

Logistics and Supply Chain Management

Freight Calculation for various modes of transport by using various online relevant platforms

Logistics and Supply Chain Management

Warehouse Design and Layout selection.

Logistics and Supply Chain Management

Inventory Control by using Selective Inventory Control Techniques like ABC, VED, FSN analysis etc

Logistics and Supply Chain Management

Inventory Reduction through Consolidation ( Centralization) and SKU rationalization ( Postponement )

Logistics and Supply Chain Management

Supplier Selection by using Multicriteria Decision Making tool AHP

Logistics and Supply Chain Management

Supply Chain Network Optimization by using Microsoft's Solver ADD-In

Logistics and Supply Chain Management

Supply Chain Optimization by using IT and Technology

Logistics and Supply Chain Management

Implementation of Sustainable Supply Chian practices

Logistics and Supply Chain Management

Supply Chain Analytics based Projects in Inventory / Supply / Demand Planning

Operations Management

Process Planning

Operations Management

Demand Forecasting

Operations Management

Aggregate & Capacity Planning

Operations Management

Operations Scheduling

Operations Management

Material Requirement Planning

Operations Management

Line Balancing

Operations Management

Sales & Operation Planning

Operations Management

Optimization using Microsoft Solver

Project Management

Create Project Charter

Project Management

Stakeholder Assessment Matrix

Project Management

Procurement- Calculate cost payable

Agile Scrum Master

Burndown Chart | Create Velocity | Sprint Backlog

Business Analysis

Online Recruitment Process

CERTIFICATION

On completion of the Master Program in Logistics and Supply Chain Management, aspirants will receive an Industry-endorsed Certificate along with 4 additional certificates.

PROGRAM FACULTY & TRAINERS

TRAINER

DINESH BABU-R

B.Tech and MBA ( Finance & Operation ), Ph.D in Data Analysis.

RAJESH.M

Master degree in Production technology Bachelor degree in Mechanical Engineering, Diploma in Training & Development, currently doing MBA program in Data Analytics and Business Excellence.

MANDAR A. DESHPANDE

Master in computer science

PLACEMENT MENTORS

ANOOP MATHEW

M.Tech (power electronics), MBA-HR, PhD in power quality improvement

DEVENDRA KUMAR

M.B.A(Marketing & Finance )

Program Fees

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Fees

INR 45,000

*18% GST Extra

Fees

usd $1000

Our Faculty

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Dinesh Babu R

UrbanPro Excellence Award winner in Data Science Professional
CBAP Certified Professional
Senior Business Analyst in the MNC, Part time, Providing Business Analysis as well as Data Analysis training to both Indian as well as overseas students.
Qualification: P.hd in Data Analysis, MBA (Finance & Operation), B.Tech

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Ganesh Bhure (Management LDP Program, B.Tech/B.E. (Electronics and Telecommunication))

11yrs into training. Working on various training assignments onPython, Machine Learning, Data Analytics, Artificial Intelligence, Docker and Kubernetes, Leadership and Product Management.

Software professional with 16+yrs of experience. Handled innovation strategic roles, Technical Consultant, Technical Manager, Project Lead, Product Development, Project Management, BusinessAnalysis, Technical Design, Python, C, C++, Docker, Kubernetes, Scale Testing, Product Benchmarking, Data Analytics, Machine Learning, Artificial Intelligence, Data Science.

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Suryanarayana Murthy (MCA, B.Sc (Electronics))

9.5 Years IT Experience in Big Data Hadoop and PERL as a Developer.
5.5 Years of comprehensive experience as Big Data Developer, Practical exposure and strong knowledge in Big Data management

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Boddu Lingaiah (M.Tech (CS), B.Tech (CS))

5+ Year teaching experience in Full Stack Web Development.

Boddu Lingaiah has over 10+ Years of experience as Master Trainer at Edunet Foundation & worked as IT Faculty at KL University and Jain University.
Studied M.Tech at SKEC Karepalli as well as worked as Assistant Professior for 1.3 Year.

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Abhishek Srivastava (M.Tech (CS), MCA)

IIT Kanpur Certified Data Science Trainer
Teaching experience in Data science, Machine Learning, Deep Learning, Artificial Intelligence
Data Science Trainer with 5+ Years of experience executing Data Driven solution to increase effeciency, accuracy and utility of internal data processing. Experinced to give training on regression models, using predective data modeling and analysing Data scienceAlgorithm to deliver insights and implement action- oriented to business problems.

LINUX

  • Introduction to Linux
  • Root
  • Basic commands
  • Editors
  • OS installation
  • Basic system configuration and administration
  • Understanding files and directories
  • Schedulers
  • User administration
  • Software installation