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 145
... solution ( $ 613,058 ) and the linear programming solution ( $ 759,225 ) but not as good as the Bowman coeffi- cient solution ( $ 575,223 ) . It is interesting to note that the parametric planning solution outperformed the LP solution ...
... solution ( $ 613,058 ) and the linear programming solution ( $ 759,225 ) but not as good as the Bowman coeffi- cient solution ( $ 575,223 ) . It is interesting to note that the parametric planning solution outperformed the LP solution ...
Page 359
... solution will progress down the work table with respect to time until a final solution and project time have been achieved . This solution is given in Table 9.6 . Below are a few pertinent comments regarding this solution that ...
... solution will progress down the work table with respect to time until a final solution and project time have been achieved . This solution is given in Table 9.6 . Below are a few pertinent comments regarding this solution that ...
Page 398
... solution of the problem using Algorithm 10.1 is 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 ...
... solution of the problem using Algorithm 10.1 is 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 ...
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