The December 2017 Reference Annual edition of Manufacturing & Logistics IT features a Special Technology Report on Big Data Analytics
For this report, we spoke with a number of experts from the vendor and analyst communities about recent developments within this fascinating technology space.
In addition, this edition of Manufacturing & Logistics IT features a round-up of other exclusive Special Technology Reports from 2017.
Manufacturing, Logistics and Supply Chain articles
Manufacturing and Supply Chain IT articles comprising case studies, product information, opinion articles, reports, new contract wins, product launches, opinion from the trade associations, government departments, research analysts, the vendor community. These articles are about specific industry IT solutions and topics relating to how improvements and efficiency gains can be made by the use of information technology within supply chain applications. All topics are covered in these articles which include ERP/MRP, Manufacturing Software, Advanced Planning, Demand Forecasting, Supply Chain Management, Warehouse Management Software, Automatic Identification/Datacapture, Voice-Directed Warehousing, Printing & Labelling, Transport Management, Asset Management Software and Mobile Computing.
Manufacturing & Logistics IT - December 2017 Reference Annual
Dec 13, 2017
ThinCats and Hennik Edge to accelerate growth of UK manufacturing with £100m of funding
Dec 13, 2017
ThinCats, the alternative finance specialist, is making £100m available to fund and support dynamic manufacturing businesses across the UK, and help take them to the next level of growth.
Why forecasting is damaging your business
Dec 13, 2017
The science of supply and demand is not always as clear cut as it may seem at first glance. The system of traditional forecasting is broken, and the only way to fix it is to replace it.
Truck empty-running the target of new collaborative research initiative
Dec 13, 2017
Work has started on FreightShare Lab (FSL), a new collaborative research project focused on tackling the transport inefficiencies associated with empty and partially laden truck-running. UK Government statistics, released in October, indicate that over 30% of all truck journeys are made when trucks are empty (i.e. without a load being carried).
GateHouse Logistics releases upgraded road theft tool
Dec 13, 2017
Logistics data unifier and aggregator, GateHouse Logistics A/S, has released an updated version of its ghSecure module to help shippers to better combat high-value road theft. ghSecure is a further module of the firm's ghTrack platform for the connected supply chain.
Accelerate manufacturing innovation with secure access controls
Dec 13, 2017
By Stuart Facey, VP EMEA, Bomgar.
Manufacturing is going through a technological resurgence that is transforming the modern factory. Today we are seeing data-driven factories, with an unstoppable integration of connected systems and devices.
Predictive Asset Maintenance: The business benefits – and how to prove them
Dec 13, 2017
By Marat Otarov, Data Scientist, Think Big Analytics
In today's digital landscape, asset management systems are becoming increasingly sophisticated, introducing new data sources and a data-driven approach: weather data, asset information and sensor data from equipment can be integrated and fed to machine learning algorithms to predict and prevent failures and disruptions.
Logistics Information Technology News (LogisticsIT.com)
Logistics information technology (LIT) is the use of information technology (IT) to improve the efficiency and effectiveness of logistics operations. LIT encompasses a wide range of technologies, including:
- Barcoding and electronic data interchange (EDI): These technologies are used to automate the exchange of data between different parts of the supply chain.
- Warehouse management systems (WMS): These systems are used to track inventory levels, manage orders, and optimize the flow of goods in and out of warehouses.
- Transportation management systems (TMS): These systems are used to plan and track shipments, manage carriers, and optimize routes.
- Fleet management systems (FMS): These systems are used to track and monitor vehicles, manage fuel consumption, and improve driver safety.
- Geospatial technologies: These technologies are used to track the location of goods in real time and optimize delivery routes.
- Artificial intelligence (AI): AI is being used in logistics to automate tasks, improve decision-making, and optimize operations.
LIT can help logistics organizations to improve their performance in a number of ways, including:
- Increased efficiency: LIT can help to automate tasks, streamline processes, and improve communication between different parts of the supply chain. This can lead to significant reductions in costs and improved efficiency.
- Improved visibility: LIT can help to track the location of goods in real time and provide visibility into the entire supply chain. This can help to identify and resolve problems more quickly and improve customer satisfaction.
- Enhanced decision-making: LIT can help to provide decision-makers with real-time data and insights. This can help them to make better decisions about things like inventory levels, shipping routes, and pricing.
