Fundamentals of Artificial Intelligence in Supply Chain
Expert-defined terms from the Professional Certificate in AI-Driven Pharmaceutical Supply Chain Management course at HealthCareStudies (An LSPM brand). Free to read, free to share, paired with a globally recognised certification pathway.
Artificial Intelligence (AI) #
A branch of computer science that deals with the creation of intelligent machines that work and react like humans, including learning, reasoning, problem-solving, perception, and language understanding.
AI #
Driven Pharmaceutical Supply Chain Management: The application of AI technologies to manage and optimize the pharmaceutical supply chain, including demand forecasting, production planning, inventory management, transportation, and logistics.
Algorithm #
A set of rules or instructions that a computer program follows to solve a problem or complete a task. In supply chain management, algorithms can be used for optimization, prediction, classification, and clustering.
Autonomous Systems #
Systems that can operate without human intervention, using sensors, actuators, and AI algorithms to perceive, decide, and act in the physical world. Autonomous systems can be used in warehousing, transportation, and logistics.
Big Data #
Large and complex datasets that cannot be processed or analyzed by traditional software tools. Big data can provide valuable insights and predictions in supply chain management, but require advanced analytics and AI techniques.
Blockchain #
A decentralized and distributed digital ledger technology that enables secure and transparent recording and tracking of transactions and data. Blockchain can be used in supply chain management for traceability, provenance, and security.
Business Intelligence (BI) #
A set of technologies, applications, and practices for collecting, analyzing, and presenting business data and information. BI can be used in supply chain management for reporting, visualization, and decision-making.
Chatbot #
A computer program that uses natural language processing and machine learning to simulate human conversation. Chatbots can be used in supply chain management for customer service, order tracking, and supply chain automation.
Cloud Computing #
The delivery of on-demand computing services over the internet, including storage, processing, and applications. Cloud computing can enable real-time data sharing, collaboration, and scalability in supply chain management.
Cognitive Computing #
A subfield of AI that focuses on creating systems that can mimic human thought and reasoning processes, including perception, memory, attention, and learning. Cognitive computing can be used in supply chain management for decision-making, problem-solving, and innovation.
Computer Vision #
A field of AI that deals with the ability of computers to interpret and understand visual information from the world, including images and videos. Computer vision can be used in supply chain management for quality control, inspection, and tracking.
Deep Learning #
A subset of machine learning that uses artificial neural networks with multiple layers to learn and represent complex patterns and relationships in data. Deep learning can be used in supply chain management for predictive analytics, natural language processing, and computer vision.
Demand Forecasting #
The process of predicting future demand for products or services based on historical data, market trends, and other factors. Demand forecasting can be used in supply chain management for production planning, inventory management, and pricing.
Digital Twin #
A virtual replica of a physical system or process, which can be used for simulation, optimization, and monitoring. Digital twins can be used in supply chain management for predictive maintenance, risk management, and process improvement.
Edge Computing #
The practice of processing and analyzing data at the edge of the network, near the source of the data, rather than in a centralized cloud or data center. Edge computing can enable real-time decision-making, latency reduction, and bandwidth optimization in supply chain management.
Internet of Things (IoT) #
A network of interconnected physical devices, sensors, and objects that can communicate and exchange data over the internet. IoT can be used in supply chain management for tracking, monitoring, and automation.
Machine Learning (ML) #
A subset of AI that deals with the ability of computers to learn and improve from data, without being explicitly programmed. ML can be used in supply chain management for predictive analytics, anomaly detection, and process optimization.
Natural Language Processing (NLP) #
A field of AI that deals with the ability of computers to understand, interpret, and generate human language. NLP can be used in supply chain management for chatbots, voice assistants, and sentiment analysis.
Optimization #
The process of finding the best solution or outcome for a problem or objective, given a set of constraints and variables. Optimization can be used in supply chain management for production planning, inventory management, and transportation.
Predictive Analytics #
The use of statistical models and machine learning algorithms to predict future outcomes or trends based on historical data and patterns. Predictive analytics can be used in supply chain management for demand forecasting, risk management, and maintenance planning.
Recommender Systems #
Computer programs that suggest items or actions to users based on their preferences, behaviors, and context. Recommender systems can be used in supply chain management for product recommendations, cross-selling, and upselling.
Robotic Process Automation (RPA) #
The use of software robots or bots to automate repetitive and routine tasks, such as data entry, processing, and communication. RPA can be used in supply chain management for order processing, invoicing, and customer service.
Simulation #
The process of creating a virtual model or representation of a system or process, and testing or analyzing its behavior or performance under different scenarios and conditions. Simulation can be used in supply chain management for capacity planning, scenario analysis, and what-if analysis.
Smart Contracts #
Self-executing contracts with built-in rules and conditions that can be triggered and enforced automatically by a blockchain network. Smart contracts can be used in supply chain management for supply chain financing, supply chain visibility, and supply chain compliance.
Supply Chain Visibility #
The ability to monitor, track, and trace the flow of goods, information, and transactions across the supply chain, from raw materials to end customers. Supply chain visibility can be enhanced by IoT, blockchain, and other digital technologies.
Swarm Intelligence #
A branch of AI that deals with the collective behavior and intelligence of decentralized and self-organized systems, such as swarms of insects, birds, or robots. Swarm intelligence can be used in supply chain management for optimization, decision-making, and adaptive control.
Transportation Management System (TMS) #
A software application or platform that helps companies to plan, execute, and optimize their transportation operations, including shipment scheduling, route planning, and freight cost management. TMS can be integrated with other supply chain systems, such as WMS, ERP, and CRM.
Warehouse Management System (WMS) #
A software application or platform that helps companies to manage and control their warehouse operations, including inventory tracking, order picking, and shipping. WMS can be integrated with other supply chain systems, such as TMS, ERP, and CRM.
Note #
The above glossary terms are just a sample of the many concepts and terms related to AI and supply chain management. Depending on the context and scope of the course, other terms may be more relevant or important.
Artificial Intelligence (AI) #
A branch of computer science dealing with the creation of intelligent machines that work and react like humans. In supply chain management, AI can be used for tasks such as demand forecasting, inventory management, and predictive maintenance.
Automated Guided Vehicle (AGV) #
A robotic vehicle that follows markers or wires in the floor, or uses vision, magnets, or lasers for navigation. AGVs are used in warehouses and factories for tasks such as transporting materials, picking and placing items, and assembly.
Blockchain #
A decentralized, digital ledger that records transactions across multiple computers. Blockchain technology can be used in supply chain management for tasks such as tracking and tracing products, ensuring product authenticity, and improving supply chain visibility.
Demand Forecasting #
The process of estimating future demand for a product or service. In supply chain management, demand forecasting is used to plan production, manage inventory, and make purchasing decisions.
Deep Learning #
A subset of machine learning that uses artificial neural networks with many layers to learn and make decisions. Deep learning algorithms are used in supply chain management for tasks such as demand forecasting, predictive maintenance, and natural language processing.
Internet of Things (IoT) #
A network of physical devices, vehicles, buildings, and other items embedded with sensors, software, and other technologies to connect and exchange data. IoT can be used in supply chain management for tasks such as tracking and monitoring goods, improving supply chain visibility, and reducing costs.
Machine Learning (ML) #
A subset of artificial intelligence that allows systems to automatically learn and improve from experience without being explicitly programmed. Machine learning algorithms are used in supply chain management for tasks such as demand forecasting, predictive maintenance, and natural language processing.
Natural Language Processing (NLP) #
A field of artificial intelligence that deals with the interaction between computers and human language. NLP algorithms are used in supply chain management for tasks such as sentiment analysis, chatbots, and automated customer service.
Optimization #
The process of finding the best solution(s) for a given problem. In supply chain management, optimization is used to improve efficiency, reduce costs, and increase productivity.
Predictive Maintenance #
The use of data, analytics, and machine learning to predict when equipment will fail, and to schedule maintenance accordingly. Predictive maintenance can reduce downtime, increase equipment lifespan, and lower maintenance costs.
Radio #
Frequency Identification (RFID): A technology that uses radio waves to identify and track objects. RFID is used in supply chain management for tasks such as inventory management, asset tracking, and supply chain visibility.
Reinforcement Learning #
A type of machine learning where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties. Reinforcement learning is used in supply chain management for tasks such as demand forecasting, resource allocation, and supply chain design.
Robotics #
The branch of technology that deals with the design, construction, and use of robots. Robotics is used in supply chain management for tasks such as material handling, assembly, and quality control.
Sensor Technology #
The use of sensors to detect and measure physical and environmental conditions. Sensor technology is used in supply chain management for tasks such as inventory management, asset tracking, and supply chain visibility.
Sentiment Analysis #
The process of identifying, extracting, quantifying, and studying affective states and subjective information. Sentiment analysis is used in supply chain management for tasks such as customer feedback, social media monitoring, and product reviews.
Supply Chain Visibility #
The ability to see and understand what is happening in a supply chain in real time. Supply chain visibility is used to improve efficiency, reduce costs, and increase productivity.
Warehouse Automation #
The use of technology to automate and improve warehouse operations. Warehouse automation is used to increase efficiency, reduce costs, and improve accuracy.