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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Manufacturing: The surprising leader in the global datasphere – new IDC research

Manufacturing: The surprising leader in the global datasphere – new IDC research

The global datasphere¹ could grow to 175 zettabytes by 2025, and industries such as Financial Services, Manufacturing, Healthcare, and Media and Entertainment are helping to define this new era of data growth.

£24m Nottingham research facility opens to transform UK manufacturing in the digital age

£24m Nottingham research facility opens to transform UK manufacturing in the digital age

With manufacturing on the cusp of a technological revolution, a flagship research facility has opened its doors at the University of Nottingham to help future-proof UK industry in a competitive global market.

Could there be a Brexit dividend for the supply chain?

Could there be a Brexit dividend for the supply chain?

Currency fluctuations caused by worldwide geo-political events like Brexit and changing US trade policy may be being exploited by companies seeking to save money in their supply chain, a new report has found.

A manufacturer’s guide to thriving in a Hard-Brexit Britain

A manufacturer’s guide to thriving in a Hard-Brexit Britain

With Brexit negotiations in full force, British manufacturers are actively planning to maximise the opportunities that lie before us and mitigate the challenges.

Digital transformation projects in 2019 set to bring cloud adoption and artificial intelligence to the print industry, says Y Soft

Digital transformation projects in 2019 set to bring cloud adoption and artificial intelligence to the print industry, says Y Soft

2018 has been the year of digital transformation, with organisations of all sizes either implementing or planning projects in every area from customer service operations to workforce management.

Money worries cost the manufacturing industry £85 million each year

Money worries cost the manufacturing industry £85 million each year

A combination of workers taking days off or being distracted due to financial stress is costing the manufacturing sector £85m in lost output every year.

Senseye’s top five manufacturing predictions for 2019

Senseye’s top five manufacturing predictions for 2019

By Dr Simon Kampa, CEO and co-founder of Senseye.

2019 marks an inflection point in the maturity of Industry 4.0 and the application of real-world predictive maintenance as companies move from pilots to real deployments – with significant ROI.

Oden launches industry’s first cloud and edge Machine Learning and AI framework for manufacturing

Oden launches industry’s first cloud and edge Machine Learning and AI framework for manufacturing

Oden Technologies, the intelligent industrial automation provider, has announced what it describes as the industry’s first end-to-end Machine Learning (ML) and Artificial Intelligence (AI) framework for manufacturing.

Katana launches Smart Workshop Software

Katana launches Smart Workshop Software

Katana, the smart workshop software company, has launched what it describes as the first-ever Smart Workshop Software, providing small manufacturers with affordable and easy to use inventory and production management.

Wired or wireless?

Wired or wireless?

According to Statista, there will be 30 billion Internet of Things (IoT) devices active by 2024. To tap into this trend, plant managers can choose between two main methods of connecting new devices to the IoT — wired or wireless. Maria Torrisi, business development manager of industrial automation specialist JMartans Automation, suggests three questions to ask before choosing between wired and wireless technology.

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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