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.


Ross partners with LXE to increase RFID capabilities for manufacturers

Ross and LXE will work together to ensure that their customers benefit from cutting edge ERP and radio frequency technologies, meeting all traceability and RFID requirements.

Gartner Sees Shift to Bite-Sized Business Software

Companies such as SAP and IBM must break their software packages into smaller units as their corporate clients want to cherry pick them to update systems more frequently.

Portal Bears Fruits for Dhler Group

The Dhler Group has implemented a sales and distribution information system on the basis of mySAP Customer Relationship Management (mySAP CRM) Version 4.0 including the Partner Product Ranges (PPR) component.


Sage (UK) Limited has today announced the acquisition of IntelligentApps Holdings Limited which is the holding company of IntelligentApps Limited, a developer of Business Intelligence (BI) and Corporate Performance Management (CPM) software.

ATL makes the right call with MAPICS

SyteLine was the most suitable ERP solution for ATLs needs due to its fully integrated functionality, its user friendliness and anticipated speed of implementation.


Sage MMS from CPiO enables in-house order processing, stock control and sales logistics improvements.

Bathroom Products Manufacturer Plans Overseas Expansion And 50% Growth With Exel ERP System

The EFACS installation will be relied on to improve all aspects of management information and to enable DLP to produce a greater number of low-level and level-access shower and bathroom products whilst maintaining staff levels.

SAP Launches Hosted Sourcing Platform and Complementary Services for mySAP SRM

New Offering Allows Companies to Experience the Savings Potential of SRM before Committing to a Full Implementation

Cauldron turns up the heat on productivity

New TROPOS system increases vegetarian convenience food manufacturer's capacity to manage expanding volumes efficiently.

CSW Coldform warms to self-installed MRP system

In February 2004 CSW decided to adopt 123MRP and sent three people on the user training course, two on implementation and one on the administration course.

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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