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 38
... shown in Figure 2.15 . The use of the distributed computer systems to allow transmission informa- tion on a real - time basis for effective management decision making is called a distributed plant management system ( DPMS ) . A typical ...
... shown in Figure 2.15 . The use of the distributed computer systems to allow transmission informa- tion on a real - time basis for effective management decision making is called a distributed plant management system ( DPMS ) . A typical ...
Page 213
... shown as follows , using trigonometric relationships from Figure 6.5 . a . D b . A = c . So , Q d . D = Q T Q Ꭲ = ᎠᎢ = ATA L ; Q1 = DT ΤΑ But the arrival rate , A , and depletion rate , D , are constants , so TA / T is a constant ...
... shown as follows , using trigonometric relationships from Figure 6.5 . a . D b . A = c . So , Q d . D = Q T Q Ꭲ = ᎠᎢ = ATA L ; Q1 = DT ΤΑ But the arrival rate , A , and depletion rate , D , are constants , so TA / T is a constant ...
Page 398
... shown in Figure 10.4 and the solution using Algorithm 10.2 is shown in Figure 10.5 . Note that both approaches come up with strange results . A total of 42 people - days were needed , and Algorithm 10.1 scheduled 10 people . This ...
... shown in Figure 10.4 and the solution using Algorithm 10.2 is shown in Figure 10.5 . Note that both approaches come up with strange results . A total of 42 people - days were needed , and Algorithm 10.1 scheduled 10 people . This ...
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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 Equation error example problem exponential smoothing factors follows forecasted demand function function key Gantt chart given in Figure GROSS REQUIREMENTS Industrial Engineering input inventory control inventory costs inventory item inventory level KANBAN lead-time 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 personal computer procedure processor production control quadratic RECPT regression regression analysis resource safety stock sequence shift shown in Figure solution step storage Tandem Computers technique total cost units vendor week