SUPPLY CHAIN TECHNOLOGY COURSE

Supply Chain Technology Certificate

 

Supply Chain Technology Certificate Overview

Technology remains critical for supply chain organizations. In the upcoming years, supply chains must adopt new technologies that improve decision-making to enable a sustainable future.

ASCM’s Supply Chain Technologay Certificate introduces emerging technologies, explains how to implement them for organizational improvement and provides an overview of how they directly affect supply chain performance.

The self-paced online program includes 20 hours of education and a comprehensive final exam. After passing the exam, learners will receive a certificate and a digital badge.

 

Blockchain

Objectives:

·      Define blockchain technology and discuss how it works.

·      Compare and contrast public and private blockchains.

·      Discuss the benefits and drawbacks of blockchain technology.

·      Identify factors to consider when implementing blockchain technology.

·      Explain how blockchain technology is used in supply chains.

Topics:

What Is Blockchain?

Defining Blockchain

Why Is Blockchain Important?

Key Elements of a Blockchain

How Blockchain Works

Blockchain Consensus

Types of Blockchains

Different Types of Blockchain Networks

Public Blockchain

Private Blockchain

Public versus Private Blockchains

Advantages and Disadvantages of Using Blockchain

Benefits of Blockchain

Smart Contracts

Non-fungible Tokens (NFTs)

Threats to Blockchain Security

Blockchain Implementation

Factors to Consider When Implementing Blockchain

Implementation Steps

Advantages and Disadvantages of Using Blockchain

How Is Blockchain Used in Supply Chain?

Case Study: An American Multinational Retail Corporation

Case Study: PharmaLedger

Case Study: A Global Leader in Logistics

Case Study: An American Multinational Automobile Manufacturer

Case Study: A Swiss Multinational Food and Drink Processing Company

 

Advanced Analytics and Automation

Objectives:

·      Define advanced analytics and automation.

·      Compare and contrast descriptive, diagnostic, predictive, prescriptive, and cognitive analytics.

·      Explain the process of data mining and challenges the process can present to a company.

·      Discuss data storage options and cloud computing security concerns.

·      Describe how artificial intelligence and machine learning are used in supply chain.

·      List some of the skills employees need to work with advanced analytics and automation.

Topics:

What Are Advanced Analytics and Automation?

Advanced Analytics

End-to-End Analytics Process

Automation

Automation—Robotics

Advanced Analytics Methods

Operations Research and Management Sciences

Descriptive, Diagnostic, Prescriptive, Predictive and Cognitive Analytics

Dashboards

Data Mining

The Importance of Data and Data Mining

The Data Mining Process

Data Mining Tools— Extract, Transform, Load (ETL)

Data Mining Tools—Relational Databases and SQL

Data Mining Tools—CRISP-DM

Data Storage and Security

Data Warehouses

Cloud Computing

Data Security

Artificial Intelligence

Types of Artificial Intelligence

Machine Learning and Deep Learning

Supervised and Unsupervised Learning

Natural Language Processing

Selecting and Implementing New Technology

Steps to Selecting New Technology

Total Cost of Ownership

Implementation Best Practices

Employee Skills

 

Internet of Things

Objectives:

·      Explain what the internet of things (IoT) is, how it evolved, and how it can be used.

·      Describe the need for and benefits of track and trace technology.

·      Identify several types of technology needed for data capture, transmission, and access in IoT.

·      Discuss what is needed for IoT infrastructure, including platforms and business application integration.

·      Explain the concept of digital twins, why they are used, and their benefits and risks.

·      Identify IoT applications in manufacturing and retail.

·      Identify IoT challenges and possible actions to avoid these risks.

Topics:

What Is the Internet of Things?

Defining IoT

Evolution of IoT

Visibility and the Need for Track and Trace

Supply Chain Visibility

What Is Track and Trace

Barcoding and QR Codes

Radio Frequency Identification (RFID)

Types of RFID

Not Just “Where Is My Package”—The Importance of IoT

IoT and Data Regulation

Technology Needed for IoT

The Cloud

Data Capture and Translations

Data Transmission

Data Access and Actionability

IoT Infrastructure

What Is an IoT Platform?

Enablement

Device and Software Management

Data Synchronization

Application Programming Interfaces (APIs)

Data Streaming

Event Management

Accessibility to IoT Data Feeds

Data Intelligence and Analytics

Big Data Sets

Edge Computing

Digital Twins

What Is a Digital Twin?

More than Just Sensor Data

Containerization

IT/OT Convergence

IOT and Business Segment Applications

Integration of IoT into Business Sections

Shop Floor and Field Operations Visibility

Predictive Maintenance

Remote and Outsourced Operations

Retail

Challenges to Implementation

Financial Impact

Cybersecurity

Data Sovereignty

 

Cybersecurity

Objectives:

·      Explain the interrelationship of cybersecurity within an enterprise and within supply chain.

·      Discuss the need for cybersecurity governance and the characteristics of a successful program.

·      Describe essential tools and techniques for risk assessment, management, and mitigation.

·      Describe the various levels of network access controls and monitoring methodologies.

·      Discuss the concepts and purposes of redundancy, firewalls, and advanced anti hacking technology.

·      Explain why cybersecurity education is important at all levels within an organization.

Topics:

What Is Cybersecurity?

Evolution of Cybersecurity

Cybersecurity Inside the Organization

Cybersecurity—Who, What, Why, and How?

Cybersecurity in Supply Chain and Other Business Relationships

Cybersecurity Governance

Why Have Cybersecurity Governance Programs?

What Should Cybersecurity Governance Programs Look Like?

Why Do Cybersecurity Governance Programs Fail?

Cybersecurity Risk Assessment, Management, and Mitigation

Risk Assessment

Risk Management

System-Related Risk Mitigation

Non-System-Related Risk Mitigation

Enterprise Cybersecurity Education

Employee Training

IT Education and Cybersecurity Training

Cybersecurity Risk Training across Supply Chain Partners

Network Access Controls and Monitoring Methodologies

Network Access Control Solutions

Network Access Control—Employees

Network Access Control—Suppliers and Business Partners

Monitoring Methodologies

Redundancy, Firewalls, and Anti-Hacking Technology

Redundancy and Methods to Achieve It

Firewalls

Anti-Hacking Technology

 

Demand Planning Technologies

Objectives:

·      Explain demand planning and the importance of demand planning technologies in the supply chain.

·      Describe the essential steps in forecasting demand.

·      Explain how to select the correct forecasting method to predict demand.

·      Describe the future of demand planning using technology as an enabler.

·      Identify several types of forecasting errors and their sources.

·      Recognize the role of demand planning in inventory management.

Topics:

The Importance of Demand Planning Technologies in Supply Chain

What is Demand Planning?

Demand Planning Technologies

Essential Steps in Forecasting Demand

Steps in the Forecasting Process

Determining What to Forecast

Sources of Data for Forecasting

A Smartphone Accessory Retail Case Study

Forecasting Methods Used in Supply Chain

Types of Forecasting Methods

Judgmental Forecasting Method

Statistical Forecasting Method

Combination Forecasting Method

Choosing the Right Forecasting Method

The Future of Demand Planning

Elements of Demand Planning

Why is Demand Planning Important?

Methods of Demand Planning Using Technology

Machine Learning (ML) For Better Demand Predictions

Streamline Forecasting Processes with AI

Role of IoT in Demand Planning

Social Media and User-Generated Online Traffic Data

Time Series Forecasting: Use Cases

Technology Company Forecasting Problem

Traditional Planning versus Technology Planning

Reliability of Forecasting

Sources of Forecasting Errors and How to Reduce Them

Types of Errors

The Role of Demand Planning in Inventory Control

How Demand Planning Fits within Inventory Control

Methods of Inventory Control

Strategies Used in Production Planning and Scheduling

Production Environments

 

Additive Manufacturing (3D Printing)

Objectives:

·      Define additive manufacturing (AM) and explain its benefits.

·      Discuss the key elements required for implementing AM, including various processes and the types of materials used.

·      Describe how AM can benefit the supply chain.

·      Discuss the challenges of implementing AM, including its limitations, as well as advantages and disadvantages of in-house versus outsourced AM.

·      Describe situations in which a company should and should not use AM.

Topics:

What Is Additive Manufacturing?

What Is Additive Manufacturing (3D Printing/Rapid Prototyping)?

The Additive Manufacturing Process

Hybrid Manufacturing

Benefits of Additive Manufacturing

Implementing Additive Manufacturing

Additive Manufacturing—Still an Emerging Technology

Various Types of Additive Manufacturing

Materials Used in Additive Manufacturing

Additive Manufacturing and Supply Chain

Prototypes

Inventory Implications

Distributed Manufacturing

Microfactories

Portability

Customization

Current Uses of Additive Manufacturing

Vision for Additive Manufacturing in the Future

Challenges of Implementing Additive Manufacturing

Limitations of 3D Printing Today

In-house versus Outsourcing

When to Use and When Not to Use 3D Printing

When Is 3D Printing the Right Choice?

When Is 3D Printing Not the Right Choice?

What to Expect in the Future