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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Don't overlook apprenticeships, Make UK urges GCSE and A-Level students

Don't overlook apprenticeships, Make UK urges GCSE and A-Level students

As thousands of young people across the West Midlands prepare to receive their A-level and GCSE results this week, Make UK has highlighted the growing demand for apprentices from the region’s engineering and manufacturing sector.

Manufacturers to spend US$2.6 billion on simulation software by 2030

Manufacturers to spend US$2.6 billion on simulation software by 2030

Simulation software acts as an insurance policy against costly mistakes because it enables manufacturers to understand how a product or component will behave before it’s put into use or how it will affect the production line. 

Britain can set ‘gold standard’ in ethical artificial intelligence - industry report

Britain can set ‘gold standard’ in ethical artificial intelligence - industry report

The UK can lead the world in creating AI that cares about humanity – provided more people from non-tech backgrounds choose the field, according to a new report by the professional body for the IT industry.

Industry investing in workforce wellbeing with 50% of companies increasing spend since start of pandemic – Make UK survey

Industry investing in workforce wellbeing with 50% of companies increasing spend since start of pandemic – Make UK survey

Over the last two years, manufacturers have increasingly realised that to keep their skilled workforce in place, they must look after the ‘whole person’ – nice working facilities are no longer enough.

More data, more impact: How manufacturers are finally realising the benefits of IIoT

More data, more impact: How manufacturers are finally realising the benefits of IIoT

By Miro Kostov, Product Manager at iBASEt.

It’s taken a few years to get to this point, but the Industrial Internet of Things (IIoT) has finally started to have the impact we had been promised. Adoption is skyrocketing, with the global IIoT market forecasted to reach $1.1bn by 2028, and the number of use cases continuing to grow as the ecosystem of IIoT devices expands.

Google Cloud and SAP partner to accelerate business transformations in the cloud

Google Cloud and SAP partner to accelerate business transformations in the cloud

Google Cloud and SAP SE have entered into an expanded strategic partnership to help customers execute business transformations, migrate critical business systems to the cloud, and augment existing business systems with Google Cloud capabilities in artificial intelligence (AI) and machine learning (ML).

ERP – mission control for the UK’s space industry

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The UK has the largest number of SME aerospace sector companies in Europe. But if smaller manufacturers are to benefit from the stellar growth predicted for the UK’s space industry, they need the power of ERP, writes Sara Duff, UK Country Manager at MRPeasy.com.

New £53 million funding for UK manufacturers to boost competitiveness through digital tech

New £53 million funding for UK manufacturers to boost competitiveness through digital tech

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New 5G Testbed as a Service business for manufacturers

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The team behind the deployment of the first 5G network in a UK factory has launched a new company providing Testbed as a Service (TaaS) opportunities to manufacturers, accelerating its vision of smart manufacturing and digital innovation across Industry 4.0.

Digital transformation is the key to evolving the manufacturing workforce, says InfinityQS

Digital transformation is the key to evolving the manufacturing workforce, says InfinityQS

As younger workers enter the manufacturing sector, it is imperative that manufacturers enhance their digital transformation initiatives if they want to attract the best talent. This is according to Jason Chester, Director of Global Channel Programs at InfinityQS.

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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