The Logistics and Supply Chain AI rubric examines the impact of artificial intelligence, machine learning and knowledge graphs on the challenging task of ensuring that data is where it is when it needs to be there.
Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data… Read More »A Detailed Guide for Data Handling Techniques in Data Science
Global supply chains remain in crisis after several national and international events. However, a massive truck driver shortage is a significant cause of delays and… Read More »Are self-driving trucks the key to supply chain issues?
International trade grew to a record $28.5 trillion in 2021, according to an estimate by UNCTAD – a 25 percent increase from 2020. Recently, Covid-19 Stop-and-Go maneuvers have highlighted the difficulties that modern ports face. It includes handling an overwhelming amount of goods, their corresponding paperwork, and other administrative tasks, congestion, delays, no coordination between terminal operators, and most importantly, the dependency on manpower. In addition to these, environmental issues have taken the front seat.
For those not involved in shipping, freight billing is the process of providing an invoice that includes information concerning the transportation of a company’s goods from one place to the other. It also contains the number of charges, due dates, weight, complete goods description, and contact information, as well as names of both the receiver and the shipper, freight rates, assessorial charges, etc. These are tedious and error prone tasks. Hence, a need of automation in freight bills is required
If you look around your room, chances are that most of the things there travelled at some stage in a truck. Trucks are responsible for moving around 70 percent in the U.S. and it employs 7 million people, fifty percent of which are drivers. While technology has been improving lives in every field but the jobs of truck drivers still remain very tough. According to one estimate, some truckers walk about 3000 miles every week. However, like everything else, technology is set to alter the future of this industry. I will try to explain briefly how.
Introduction: Business organizations exist to make a profit out of their business. If there is no profit, then there is no meaning in running a… Read More »SCM and Role of AI
Inventory management is an essential part of any eCommerce business. Especially if you are an eCommerce business owner juggling multiple sales channels, it can save… Read More »Automated Inventory Management System: An Ultimate Guide for 2022 and Beyond
In this paper we prototype and explore how multiple agent-based models of robotic factories connected to other robotic factories (represented by their respective models) can be orchestrated using an all-purpose data platform – thereby simulating descriptive and predictive properties of a group of factories (a factory cluster). For the underlying prototype, NetLogo suite was used to do factory agent-based simulation (re-using “Robotic Factory” model [1]) while InterSystems IRIS data platform was used for NetLogo orchestration and factory/cluster end-to-end simulation.
Defense logistics (DL) is a significant and mostly untapped knowledge area in the field of Production Engineering, despite its importance. As a result, this article… Read More »Improving Shipment and Orders: Defense Visual Streams Logistics
Artificial Intelligence (AI) is highly demanded practically in every industry. The greatest example of the successful usage of top-notch technology is the retailers and other… Read More »How to Use AI for Intelligent Inventory Management
