Supply Chain Networks are evolving to become increasingly autonomous, letting intelligent software agents make simple decisions.
Innovation
Anything related to innovation in technology, practices, policies, products, etc.
Supply Chain Networks Revealed: Origins and Architectures of Supply Chain Networks — Part 2A
Here we discuss the origins and architecture of the two major types of supply chain networks: 1) Integrator Networks, and 2) Real-time SVoT Networks. As well, we explore the challenges of master data management for a supply chain network.
Direct Materials P2P — Part One: Introduction
The procure-to-pay process (P2P) for direct materials resists standardization and automation. As the critical execution phase of source and procurement, it is where the rubber meets the road for inbound materials. This is the first in a series on direct P2P, based on our primary research interviews and surveys we conducted.
The Case for Autonomous Long-Haul Trucking
Predictions for rollout of driverless cars have shifted from “before 2020” to “after 2030”. Here we explore the many reasons we will likely see driverless long-haul trucking in a hub-to-hub model well before driverless cars are plying our city streets.
Space-Based Manufacturing and Logistics — Part Three: Mining and Logistics
In this final article of the series, we discuss current activities and future potential in space-based mining, as well as the various kinds of logistics that will be required for the emerging, diverse, space economy.
Supply Chain Networks Revealed: What They Do — Part 1B
Here we take a process-centric view of supply chain networks and show how they support end-to-end demand through fulfillment. This includes an example of how network-wide optimization can be accomplished.
Space-Based Manufacturing and Logistics: Part Two – Examples of Types of Manufacturing Being Pursued Now
We explore examples of space-based manufacturing that are currently being considered or pursued, such as ZBLAN optical fibers, biomanufacturing, construction of large structures, space-based farming, drugs, microfabrication, carbon nanotubes, and perfect spheres.
Last Mile Delivery Excellence – Part One: Perfecting the Customer’s Experience
Customers’ expectations for delivery excellence continue to climb for faster, error-free delivery, more granular visibility, more convenience, and increased flexibility. Here we discuss specific strategies and capabilities that leading companies are using to try and perfect the customer’s delivery experience, such as via hyperlocal delivery, dynamic dispatch and routing, adaptable workflows, dwell time reduction, real-time visibility, expanding the range of delivery windows, locations, and options, sustainable delivery, last minute rescheduling, and more
AI/Machine Learning Use Cases for Supply Chain – Part Three: Getting Results
AI/ML has created radically new and different capabilities in supply chain solutions. This requires a rethink of the process of achieving results and value from those solutions.
Space-Based Manufacturing and Logistics – Part One: Why Now?
Plummeting launch costs are poised to make manufacturing in space economically feasible for a set of materials and products that can take advantage of unique attributes of space-based production. Here we explore why space-based manufacturing may be on the verge of becoming a reality.
AI/Machine Learning Use Cases for Supply Chain – Part Two: Demand Planning, Forecasting, Inventory Management
AI/ML has had a big impact on demand planning, improving forecast granularity and accuracy. It also has revolutionized inventory optimization, which has become ever more critical as companies increasingly push more inventory out to the edges of their distribution network and implemented hyper-local distribution strategies to meet ever more rapid delivery-time expectations.