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Driver-based Budgets and Forecasting
Line managers and finance staff are frustrated by the inability of spreadsheet-based planning systems to deliver useful budgets and rolling forecasts. A major problem is the disconnect between the operational elements of business and financial plans. What's missing is driver-based planning, a best-practice methodology where financial plans incorporate assumptions about business activities modeled to drive financial data.
: Driver-based Budgets and Forecasting Driver-based Budgets and Forecasting Source: Alight Document Type: White Paper Description: Line managers and finance staff are frustrated by the inability of spreadsheet-based planning systems to deliver useful budgets and rolling forecasts. A major problem is the disconnect between the operational elements of business and financial plans. What s missing is driver-based planning, a best-practice methodology where financial plans incorporate assumptions about business
8/16/2007 2:48:00 PM
ABAS ERP for Production Companies
: ABAS ERP for Production Companies ABAS ERP for Production Companies Source: Abas Business Solutions (PRC) Ltd. Document Type: Brochure Description: f ABAS ERP for Production Companies style= border-width:0px; /> comments powered by Disqus Source: Abas Business Solutions (PRC) Ltd. Learn more about Abas Business Solutions (PRC) Ltd. Readers who downloaded this brochure also read these popular documents! Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by
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abas ERP for Production Companies
: abas ERP for Production Companies abas ERP for Production Companies Source: ABAS Software Document Type: Brochure Description: ... abas ERP for Production Companies style= border-width:0px; /> comments powered by Disqus Source: ABAS Software Learn more about ABAS Software Readers who downloaded this brochure also read these popular documents! Best Practices for ERP Implementation 3 Key Areas to Reduce Costs with Lean Techniques The Buyer s Guide to Financial Management Software: The 10 Essentials of
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Smart Software for Service-level Driven Forecasting » The TEC Blog
: demand, demand planning, forecast, forecasting, intermittent demand, Inventory, service level, Smart Software, Smart Willemain method, SmartCollaborator, SmartForecasts, spare parts, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
Microsoft Axapta: Design Factors Shape System UsagePart Three: Manufacturing Environments
If you are implementing or considering Microsoft Axapta as your ERP system, or providing Axapta-related services, this note provides an overall understanding of how the system fits together to run a business. This section reviews the major design factors affecting system usage in a manufacturing environment.
: custom products, variations in production strategy, and lean manufacturing practices. Definition of Product Structure for Standard Products . Master bills and master routings define product and process design, and are assigned to relevant manufactured items. A manufactured item can have multiple bill and/or routing versions. Each master bill and routing, and each assigned version, requires an approval to support subsequent use in planning, costing, and orders. Bill of Material Information . Each
Iwate Toshiba Semiconductor Case Study
Iwate Toshiba, a semiconductor fabricator, sought a supply chain solution to resolve recurring production issues. The solution had to be capable of quickly planning and scheduling lots during peak production, providing accurate order commitments, reducing planning cycles for production, optimize use of production resources, and achieving a more accurate supply chain model by integrating business planning with factory-level scheduling.
: solution to resolve recurring production issues. The solution had to be capable of quickly planning and scheduling lots during peak production, providing accurate order commitments, reducing planning cycles for production, optimize use of production resources, and achieving a more accurate supply chain model by integrating business planning with factory-level scheduling. Iwate Toshiba Semiconductor Case Study style= border-width:0px; /> comments powered by Disqus Related Topics: Demand
10/23/2006 6:21:00 PM
IMA Visual Planning Suite
: IMA Visual Demand Forecasting is designed to provide insight into aspects of demand forecasting, budgeting, performance monitoring, promotion control and margin analysis.
SKEP Success story: Nestle
With a turnover of CHF 85 billion and 470 sites, Nestle is the world's largest food group. Learn how Nestle is able to plan its production and to accommodate finite capacity calculations in terms of manpower and material resources, strategic material availability, and through the significant production constraints of Nestle's different production environments.
: Success story: Nestle Source: Production Modeling Corporation Document Type: Case Study Description: With a turnover of CHF 85 billion and 470 sites, Nestle is the world s largest food group. Learn how Nestle is able to plan its production and to accommodate finite capacity calculations in terms of manpower and material resources, strategic material availability, and through the significant production constraints of Nestle s different production environments. SKEP Success story: Nestle
4/29/2005 9:33:00 AM
Replacing Base-level Forecasting with Sense and Respond Demand Management
Significant changes are occurring in the global landscape that require a fresh look at one of the most important business processes in the supply chain—demand management. Companies that more accurately predict product demand and integrate a single view of demand into operational planning are poised to win in today’s competitive landscape. Read this white paper and gain strategic insights for accurate demand planning.
: Demand Management, Production and Supply Planning, Supply Chain Optimization Related Industries: Manufacturing Related Keywords: supply chain management, scm, global scm, global supply chain management, supply chain management review, supply chain management software, global supply chain, what is supply chain management, supply chain logistics management, supply chain management certification, software supply chain management, supply chain, logistics
1/25/2012 2:11:00 PM
Production Intelligence--Improving Production by Filling a Traditional Gap
Enterprises understand the value of integration. One area that has been ignored is the plant. Plant systems and corporate systems must be complementary and leverage each other to provide their maximum value. Production intelligence provides both integration and valuable information which is not available in either type of system.
: Production Intelligence--Improving Production by Filling a Traditional Gap Production Intelligence--Improving Production by Filling a Traditional Gap Olin Thompson - January 15, 2005 Read Comments Introduction In most plants, a systems gap exists between the corporate systems (ERP, SCM, CRMS, etc.) and the plant systems (MES, LIMS, maintenance, etc.) As with any integration gap, the value of both sets of systems cannot be fully leveraged without integration. We are seeing a relatively new set of
Sales and Operations PlanningPart One: Identifying and Forecasting Demand
An effective sales and operations planning game plan results in fewer stock-outs, shorter delivery lead-times, higher on-time shipping percentages, a manageable amount of expediting, and improved customer service. Several guidelines are suggested to improve a firm's sales and operations planning process and the effectiveness of each product's game plan.This is an excerpt from the book Managing Your Supply Chain Using Microsoft Navision.
: set is termed a production forecast. Planning calculations only use the set of forecast data identified on the manufacturing setup screen. Multiple sets of forecast data often reflect various scenarios for simulation purposes, or forecast revisions based on changing market conditions. A set of forecast data can be copied to a new set and subsequently revised. This approach supports comparison of actual demand to a selected set of forecasted demand. Statistical Forecasting and Demand Planning Forecasted de
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