Integrated Production, Control Systems: Management, Analysis, and DesignFocuses on the quantitative approaches necessary to computer-integrated manufacturing systems, and integrates major topics covering all phases of the production control cycle: production information processing and flow, production planning, forecasting, material requirements planning and monetary control, and scheduling. This new edition features a compendium set of 11 user-friendly computer programs for the IBM PC that enhance the teaching power of the text, allowing readers to solve real-life problems. Among programs included are growth forecasting, aggregate planning, material requirements planning, lot sizing and inventory control, and limited-resource scheduling. The chapters on scheduling give particularly thorough coverage on this difficult subject. Solutions are clearly presented, with many examples and exercises included in the text. |
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Page 276
... problems . Table 7.1 summarizes the algorithms and their use , as well as their performance on the example problem . Because processing times and due dates may be the same for many tasks , it follows that an algorithmic solution may ...
... problems . Table 7.1 summarizes the algorithms and their use , as well as their performance on the example problem . Because processing times and due dates may be the same for many tasks , it follows that an algorithmic solution may ...
Page 304
... Example Problem Cost Slopes Job ( Activity ) Cost Change / Unit Time " A B ( 120 - 100 ) ( 6-4 ) = $ 10 ( 39 - 80 ) ... problem of determining the job ( s ) that realize the minimum CCUT for each project can get very complex , especially ...
... Example Problem Cost Slopes Job ( Activity ) Cost Change / Unit Time " A B ( 120 - 100 ) ( 6-4 ) = $ 10 ( 39 - 80 ) ... problem of determining the job ( s ) that realize the minimum CCUT for each project can get very complex , especially ...
Page 407
... problem . problem is presented by the tabulated profile of demand given in Figure 10.12 and the set of candidates given in Figure 10.13 . The solution was accomplished using a simple FORTRAN computer program . The solution to the example ...
... problem . problem is presented by the tabulated profile of demand given in Figure 10.12 and the set of candidates given in Figure 10.13 . The solution was accomplished using a simple FORTRAN computer program . The solution to the example ...
Contents
THE ROLE OF PRODUCTION CONTROL | 1 |
PRODUCTION CONTROL | 18 |
FORECASTING | 59 |
Copyright | |
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Common terms and phrases
ACTIM activity aggregate planning algorithm allow analysis approach assembly assigned assumed BASICA batch BEGIN INVENTORY Box-Jenkins calculate carrying costs Chapter completion component considered constraints critical path cycle Data Set determine due date economic order quantity Equation error example problem exponential smoothing factors follows forecasted demand function function key Gantt chart given in Figure GROSS REQUIREMENTS Industrial Engineering input inventory costs inventory item inventory level KANBAN Line Balancing line-of-balance linear linear model machine makespan manufacturing master schedule MATERIAL REQUIREMENTS PLANNING maximum mean tardiness minimize minimum needed node operation optimal order costs order quantity output overtime parameters percent period procedure processor production control purchase quadratic RECPT regression regression analysis resource safety stock sequence shift shown in Figure solution step storage Tandem Computers technique total cost units values vendor week