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.



Hi-Tech Mouldings presented with award at CIM 2004 Exhibition.


Sage, the UKs leading vendor of business software solutions for small and mid-market businesses, is extending its range of specialist applications for the manufacturing industry, with the launch of four new modules for its powerful mid-market ERP solution, Sage Line 500.

Sterling Commerce offers The Scotts Company one-stop solution for business integration

Unified integration platform streamlines supply chain processes and information exchange outside the corporate firewall.

Certified Kobil Solution to be Integrated into SAP

SAP Interface Certification for Kobil eSecure.

Flower Plus Stays Evergreen with Ross

The number one supplier of fresh cut flower bouquets to Marks and Spencer increases turnover and improves efficiencies throughout the business with an enterprise IT solution from Ross Systems.

Wholesale Distribution Companies to Benefit from New Industry-Specific Solution from SAP

SAP for Wholesale Distribution Solution to Help Large and Midmarket Distribution Companies Address Consolidation, Regulation, Customer Loyalty and Service Issues; SAP Dedicates New Business Unit to Focus on Industry Segment.


These companies have recognised that business intelligence software offers an effective and affordable way to retain competitive edge and make themselves more profitable.


The total consideration for the acquisition is 7.2m, payable in a mix of cash and shares. The initial consideration is 3.25m in cash and 2.9m in shares, of which 2.55m of cash and the 2.9m in shares is due on completion with 0.7m deferred for two weeks. The balance of 1.05m payable in cash due within the next twelve months.

Epicor Announces Significant Enhancements to Leading Enterprise Service Automation Solution

New Functionality Includes Contingent Workforce Management, Advanced Customization Capabilities and Rich Project Portfolio Management.

Lean manufacturing IT supports auto parts maker

Demand Stream leads demand driven manufacturing momentum in theautomotive industry.

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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