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 270
... makespan of the schedule can no longer be considered independent of the sequence selected . Thus , if makespan and its corresponding processor - efficiency connotations are the objective , an appropriate scheduling rule must be ...
... makespan of the schedule can no longer be considered independent of the sequence selected . Thus , if makespan and its corresponding processor - efficiency connotations are the objective , an appropriate scheduling rule must be ...
Page 276
... makespan , several tasks may have the same processing times ; thus , task assignment to machines may vary but makespan will be the same for each schedule . Since task - to - machine assignments vary , it follows that maximum tardiness ...
... makespan , several tasks may have the same processing times ; thus , task assignment to machines may vary but makespan will be the same for each schedule . Since task - to - machine assignments vary , it follows that maximum tardiness ...
Page 279
... makespan is then implemented . This approach does not guarantee the minimum makespan schedule . In fact , depending on the nature of the processing times in any given problem , the approach may be very good one time and very poor the ...
... makespan is then implemented . This approach does not guarantee the minimum makespan schedule . In fact , depending on the nature of the processing times in any given problem , the approach may be very good one time and very poor the ...
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 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 personal computer 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