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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 production planning inventory management


Master Requirement Planning and Master Production Scheduling Software: Hard Facts Part Two: Materials Requirement Planning and Master Production Scheduling
Most of the manufacturing software vendors have planning and scheduling software which assume either infinite production capacity for calculating quantities of

production planning inventory management  simple reason that your production planning and scheduling estimates will be wrong if you assume an infinite availability of raw and WIP materials. Expressed mathematically, it is because Time required to produce = (production rate x quantity to be produced) + Setup time + waiting period If the quantity to be produced is not known, then the time required to produce it cannot be computed. The information about required quantities to be produced comes from the bill of materials [BOM] (in case of discrete

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Discrete Manufacturing (ERP)

The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as order processing and production scheduling. ERP began as a term used to describe a sophisticated and integrated software system used for manufacturing. In its simplest sense, ERP systems create interactive environments designed to help companies manage and analyze the business processes associated with manufacturing goods, such as inventory control, order taking, accounting, and much more. Although this basic definition still holds true for ERP systems, today its definition is expanding. Today’s leading ERP systems group all traditional company management functions (finance, sales, manufacturing, and human resources). Many systems include, with varying degrees of acceptance and skill, solutions that were formerly considered peripheral such as product data management (PDM), warehouse management, manufacturing execution system (MES), and reporting. During the last few years the functional perimeter of ERP systems began an expansion into its adjacent markets, such as supply chain management (SCM), customer relationship management (CRM), business intelligence/data warehousing, and e-business, the focus of this knowledge base is mainly on the traditional ERP realms of finance, materials planning, and human resources. The foundation of any ERP implementation must be a proper exercise of aligning customers'' IT technology with their business strategies, and subsequent software selection. 

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Documents related to » production planning inventory management

Capitalizing on Advanced Inventory Management


Today’s distributors have an opportunity to drive performance to new levels by investing in advanced inventory management. These companies can expect to increase inventory visibility while driving down inventory costs. Learn how these kinds of inventory management initiatives can help your company strengthen customer relationships, bargain for better terms with suppliers, and generate more profitable growth.

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Production Management Software to the Rescue


In this paper we review the importance of implementing a production management system for your agribusiness. Discover how this solution will help you improve control of your inventory, while also planning and scheduling your production activities more efficiently.

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Avoid the Perils of Service Parts Planning in Supply Chain Management


Significant differences exist between the new parts production supply chain and the service and replacement parts supply chain. Companies using conventional, new product inventory methods are missing opportunities to improve efficiency and effectiveness.

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Using Inventory Optimization to Reduce Inventory Levels in a Lean Environment


Small and medium businesses (SMB) need to address inventory challenges by using a tightly integrated approach that reflects the dynamics of the extended supply chain. Data must also be available to other application modules within the enterprise resource planning (ERP) system. An inventory optimization solution allows companies to effectively fulfill demand and identify how to gain additional profits from their inventories.

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Risk Management with Investigation Process Design, Execution, and File Management: The BPS Server Concept


Client processes and risk control contextualization can be greatly improved through investigation process design, process execution, and file management issues. Learn how BPS Server uses process templating concepts, separates fact management activities, and uses COSO centric mechanisms to accomplish this. This the second part to Risk, Risk Mitigation, and Functional Requirements in Dynamic Compliance Environments. This is part two of a two part white paper. Part One Risk Mitigation and Functional Requirements in Dynamic Compliance Environments.

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Managing Inventory for Optimal Advantage: 10 Common Inventory Mistakes and How to Correct Them


If your company is “fighting fires” daily to meet customer demand, then you’re already losing customers and missing new sales. Today, business is conducted in real time, which requires flexibility and responsiveness. It’s these two attributes—along with reduced costs—that are the most beneficial in managing for optimal inventory levels. Find out how you can better plan and manage your inventory for long-term survival.

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Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

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Business Performance Management Basics: An Overview of Business Performance Management and Its Benefits to the Organization


Business performance management (BPM) includes setting key performance indicators, using data mining to discover data patterns and using software to help drive business decisions and develop corporate strategy. For an organization, there are many benefits to implementing a BPM solution.

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New Realities of Retail Workforce Management: Myths versus Facts


With an economic recovery underway, retailers are leveraging workforce management (WFM) tools to help them address their most pressing needs—cost reduction, return on investment (ROI), and measurably improved performance—while instilling practices that will serve them tomorrow and beyond. Find out how market leaders are leveraging the considerable benefits of WFM systems to gain a significant competitive advantage.

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Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies


Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity have ushered in clear data goals, but many obstacles persist. This white paper reports survey results that help to establish a clear picture of how organizations are capitalizing on data management today, as well as what challenges and opportunities remain.

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