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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Compare 14 leading ERP solutions at the Lumenia ERP HEADtoHEAD virtual event

Compare 14 leading ERP solutions at the Lumenia ERP HEADtoHEAD virtual event

Are you in the market for a new ERP? Unsure which solutions to shortlist? Or frustrated with your current ERP system? The Lumenia ERP HEADtoHEAD full-scale virtual event offers a unique opportunity to compare the leading ERP vendors and their products.

Tech salaries in the manufacturing sector lag behind the top paying industries by as much as 20%, global tech survey reveals

Tech salaries in the manufacturing sector lag behind the top paying industries by as much as 20%, global tech survey reveals

Tech salaries across the manufacturing industry are lagging behind top paying business sectors by as much as 20%, according to a global survey* of more than 15,000 developers and tech recruiters conducted by developer recruitment platform CodinGame.

SFP launches Guide to Business Survival to support manufacturing businesses

SFP launches Guide to Business Survival to support manufacturing businesses

SFP, the restructuring and turnaround group, has published a new free Guide to Business Survival with easy to follow practical steps which includes a number of remedies to help manufacturing businesses navigate through the current crisis.

Technology adoption by manufacturers driving demand for digital skills

Technology adoption by manufacturers driving demand for digital skills

SME manufacturers joining the Industry 4.0 revolution are driving up the demand for data science and software engineering skills, according to Made Smarter, the movement helping businesses grow through technology adoption.

o9 Solutions Doubles Its Annual Revenue Bookings in 2020

o9 Solutions Doubles Its Annual Revenue Bookings in 2020

o9 Solutions Inc., a leading provider of Integrated Business Planning platforms for the digital transformation of enterprise-wide planning and decision-making capabilities, announced significant bookings growth during 2020.

Manufacturing workers to abandon UK trade unions by 2040, according to new report

Manufacturing workers to abandon UK trade unions by 2040, according to new report

Less than 10% of manufacturing employees will be members of a trade union in 20 years time, according to new research into the decline of trade unions in the UK.

The best is yet to come

The best is yet to come

Given that the concepts behind Materials Requirement Planning are now around fifty years old, you might think that Enterprise Resource Planning (ERP) and its siblings would now count as ‘mature’. But in fact ERP/MRP is only just getting started, and the best is yet to come.

New MERICS China Forecast Survey: Stability and self-reliance in China, entrenched competition with the US and a mixed bag for EU-China relations

New MERICS China Forecast Survey: Stability and self-reliance in China, entrenched competition with the US and a mixed bag for EU-China relations

How will Chinese domestic politics evolve in the year of the Chinese Communist Party’s (CCP) 100th anniversary? Which issues are keeping Beijing up at night, and which new trends will define Sino-European relations going forward? To shed some light on these issues, MERICS conducted a survey of some 170 European China experts and roughly 1,000 members of the wider international public in December and early January.

AI is cool, but SaaS is your first step

AI is cool, but SaaS is your first step

By Matt Chubb, Chief Technology Officer at Razor.

There’s always been divided opinions when it comes to AI. Amidst the tropes and the fear, businesses often hype the technology as a magic wand with the power to grant rapid transformation. However, in manufacturing specifically, although 60% of companies are aware of the benefits that AI could bring to their business, only 23% are currently using it.

Manufacturing business invests in Timico’s cloud telephony solutions

Manufacturing business invests in Timico’s cloud telephony solutions

IT managed service provider, Timico, has been appointed by Roxel UK to implement MiCloud Flex solutions and drive successful digital transformation across the organisation.

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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