Manufacturing Software, ERP, MRP

Manufacturing software systems are important tools for the automation and management of production processes. A wide range of manufacturing companies covering many different vertical sectors rely on manufacturing software to better manage the sourcing and use of material or parts quantities, scheduled production timelines, inventory management and the planning for future order demand. One commonly deployed example of a manufacturing software system is an Enterprise Resource Planning (ERP) solution, designed to better manage information concerning orders and materials, finance, Customer Relationship Management etc. over the whole organisation.

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EEF, The Manufacturers' Organisation, launches Brexit roadshow series in Birmingham

EEF, The Manufacturers' Organisation, launches Brexit roadshow series in Birmingham

EEF, The Manufacturers' Organisation, kicked off its Brexit roadshow with its inaugural conference, in Birmingham, titled 'Making Brexit Work – Preparing Manufacturers for Brexit'.

Reactive Downhole Tools selects Epicor ERP to support ongoing growth

Reactive Downhole Tools selects Epicor ERP to support ongoing growth

Epicor Software Corporation today announced Reactive Downhole Tools has chosen its global enterprise resource planning (ERP) solution, Epicor ERP, to accelerate business growth through inter-departmental connectivity and collaboration.

The convergence of blockchain and SD-WAN in manufacturing

The convergence of blockchain and SD-WAN in manufacturing

Atchison Frazer of Talari, explores how two emerging technologies are coming together to help shape the future of manufacturing and supply chain IT.

Manufacturers end year with plenty of festive cheer – EEF/BDO Survey

Manufacturers end year with plenty of festive cheer – EEF/BDO Survey

Britain's manufacturers are ending the year with a bang on the back of the continued improvement in global demand and increased export performance, according to a major survey published by EEF, the manufacturers' organisation and accountancy and business advisory firm BDO LLP.

METTLER TOLEDO Safeline develops new fully integrated conveyorised metal detection system

METTLER TOLEDO Safeline develops new fully integrated conveyorised metal detection system

Industrial metal detectors can bring important benefits to the production line for food, non-food and pharmaceutical applications.

Who will win the Augmented, Mixed and Virtual Reality Device Race?

Who will win the Augmented, Mixed and Virtual Reality Device Race?

Theorem's recently launched Visualization Experience app for use on Augmented, Mixed and Virtual Reality devices (forming part of their Digital Realities product family) has been specifically designed and developed from the ground up to be device agnostic. Whether it is a holographic display, tablet, or a VR device, the same application will run on any.

Countering the threats of social engineering

Countering the threats of social engineering

By Andrew Avanessian, COO at Avecto.

The manufacturing industry is a cornerstone of the world's economy, contributing trillions of pounds every year. The powerhouses of China, the USA and the UK alone account for over $3 trillion.

UK businesses need to get used to ‘failing fast’ to get out of the productivity doldrums, says Claranet

UK businesses need to get used to ‘failing fast’ to get out of the productivity doldrums, says Claranet

The UK will struggle to plug its productivity gap until British businesses can afford to take more risks and embrace a 'fail fast' philosophy.

1 in 5 British workers see AI and automation as a threat to their job

1 in 5 British workers see AI and automation as a threat to their job

Over a third of male workers (39%) feel artificial intelligence (AI) and automation will make them better at tackling day-to-day tasks, in contrast to less than a quarter of female workers (24%).

Factories of the Future: 3 Industrial Internet of Things and analytics predictions

Factories of the Future: 3 Industrial Internet of Things and analytics predictions

By Niall O'Doherty, Head of Business Consulting at Think Big Analytics, a Teradata company.

For decades, many industries have integrated data and advanced analytics into their business and digital transformation strategies, enabling them to better inform the decision-making processes and drive competitive advantage.

Manufacturing software systems

Manufacturing software systems provide the automation and computational support for complex manufacturing processes. Manufacturing companies leverage manufacturing software systems to carefully manage the timing, types and quantities of materials they purchase in order to ensure that they are able to meet current and future customer demand while at the same time achieving the lowest possible cost and inventory accumulation.

 

Enterprise resource planning (ERP) systems integrate internal and external management information across an entire organization, embracing finance/accounting, manufacturing, sales and service, customer relationship management, etc. ERP systems facilitate the flow of information between all business functions inside the boundaries of the organisation and manage the connections to outside stakeholders.

 

Manufacturing resource planning (MRP II) addresses operational planning in units, financial planning, and has a simulation capability to answer "what-if" questions and extension of closed-loop MRP.

 

CRM or Customer Relationship Management concerns the relationship between an organisation and its customers. The scope of CRM which can vary drastically as it can be used by management, salespeople, people providing service, and even customers could directly access information to find out information.

 

Cloud computing can be defined as the set of hardware, networks, storage, services, and interfaces that combine to deliver aspects of computing as a service. Cloud services include the delivery of software, infrastructure, and storage over the Internet and is based on user demand. Cloud Computing  is the latest stage in the Internet's evolution, providing the means through which everything , from computing power to computing infrastructure, applications, business can be delivered to you as a service wherever and whenever you need.

 

Cloud computing has some essential characteristics: scalability depending on requirements, offers a way to increase capacity or add capabilities on the fly without investing in new infrastructure, eliminates the need for on-site personnel to maintain computer equipment. No up-front CAPEX (capital expenditure) required, as billing is a pay-as-you-go model, access to the very latest application programming interfaces (APIs).

 

SaaS (software as a service) is a type of cloud computing delivering a single application through the browser to thousands of customers using a multitenant architecture. On the customer side, it means no upfront investment in servers or software licensing; on the provider side, with just one app to maintain, costs are low compared to conventional hosting. SaaS is emerging to provide service to all aspects of an organisation`s activities in the areas of Manufacturing, ERP, Demand Forecasting, Advanced Planning, S&OP, Supply Chain, Warehousing, Transport Management and HR (human resource).

 

Business intelligence (BI) is a set of theories, processes and technologies that convert raw data into useful information for business purposes. BI can handle large amounts of information to help identify and develop new opportunities to gain market advantage over competitors. The amounts of data that are now being gathered as a result of because they are increasingly being gathered by a growing range of diverse and ubiquitous information-gathering devices.

 

These data sets become so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The trend to larger data sets is due to the additional information derivable from analysis of a single large set of related data, as compared to separate smaller sets with the same total amount of data. The current challenges of BIG DATA include the capture, storage, search and share capability, transfer, analysis, and visualisation. Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.

 

It is estimated that the world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s. The challenge for large enterprises is determining who should own big data initiatives that straddle the entire organisation and how this data can be used as a source of revenue and to gain competitive advantage.

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