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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ArcelorMittal and Infosys announce strategic collaboration for digital transformation

ArcelorMittal and Infosys announce strategic collaboration for digital transformation

Infosys has entered into a strategic long-term collaboration with ArcelorMittal, the steel and mining company.

The digital transformation dilemma: UK employees want pandemic-era tech to stay, says research

The digital transformation dilemma: UK employees want pandemic-era tech to stay, says research

As the UK prepares to return to normal in the coming months and industries reopen, research from The Workforce Institute at UKG reveals that as a result of the COVID-19 pandemic, 87% of UK workers have been propelled into the future of work by accelerating their digital transformation projects.

Employee buy-in crucial to digital transformation success

Employee buy-in crucial to digital transformation success

The manufacturing sector is failing to keep the workforce at the heart of its digital transformation, leading to employee dissatisfaction and hindering the success of digitalisation initiatives, new research has found.

Continuous profitable growth as S&T Group continues its IoT mission

Continuous profitable growth as S&T Group continues its IoT mission

S&T Group continues to expand its market position with technologies and a growth strategy focused on smart Internet of Things (IoT) solutions. The company is pursuing ambitious financial goals including a target revenue of minimum EUR 1.40 billion for 2021 and EUR 2 billion in revenues with an EBITDA of EUR 220 million by 2023.

Make UK leads the way with robotics and automation course

Make UK leads the way with robotics and automation course

Make UK is one of the only training providers in the country to offer the EAL Level 3 course in robotics and automation, at its Technology Hub in Aston, Birmingham - with the added incentive to employers of grants to cover 50% of the course’s cost.

Why TSN will soon be a must-have for competitive manufacturing

Why TSN will soon be a must-have for competitive manufacturing

Futureproof Connected Industries rely on responsive, data-driven operations. Advanced industrial networks that incorporate Time-Sensitive Networking (TSN) are key enablers for such systems. By selecting them, companies can benefit from high-speed, reliable communications for Industry 4.0 applications.

Manufacturing industry R&D spending rose 4.4% last year despite pandemic — Catax

Manufacturing industry R&D spending rose 4.4% last year despite pandemic — Catax

R&D spending in the manufacturing industry defied expectations with a 4.4% rise last year despite the pandemic, analysis of latest ONS data by business tax relief consultancy Cataxshows1.

New Salesforce research reveals that the pandemic has progressed plans for cloud adoption for 81% of manufacturers

New Salesforce research reveals that the pandemic has progressed plans for cloud adoption for 81% of manufacturers

Salesforce, the CRM solutions provider, has released its Trends in Manufacturing report which shows the far-reaching effects the global pandemic has had on the industry.

Chocolate maker finds the digital sweet spot with Made Smarter

Chocolate maker finds the digital sweet spot with Made Smarter

A chocolate maker, supported by Made Smarter, is poised to experience a game-changing productivity increase by automating its manufacturing process.

At John Deere ‘hard iron meets AI’

At John Deere ‘hard iron meets AI’

John Deere is leveraging Intel’s artificial intelligence (AI) technology to help solve a costly, age-old problem in the manufacturing welding process. Deere is piloting a solution that uses computer vision to automatically spot common defects in the automated welding process in its manufacturing facilities.

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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