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 98
... optimum growth Yes Fit user - specified polynomial to data and remove from original data . model and optimum alpha alpha ( s ) in determining optimum growth model alpha for user - specified Alpha and growth model specified growth model ...
... optimum growth Yes Fit user - specified polynomial to data and remove from original data . model and optimum alpha alpha ( s ) in determining optimum growth model alpha for user - specified Alpha and growth model specified growth model ...
Page 100
... optimum run , which is why only two values of each are given in Table 3.15 . Also , the alpha value was constrained to be between 0.01 and 0.5 . An optimum alpha value of above 0.3 is indicative of an incorrect model ; thus , the errors ...
... optimum run , which is why only two values of each are given in Table 3.15 . Also , the alpha value was constrained to be between 0.01 and 0.5 . An optimum alpha value of above 0.3 is indicative of an incorrect model ; thus , the errors ...
Page 216
... optimum , even though the policies for individual items may well be optimum , at least under the assumptions made . Seven possible fallacies are presented in this section , along with possible ways to alleviate the fallacies . The ...
... optimum , even though the policies for individual items may well be optimum , at least under the assumptions made . Seven possible fallacies are presented in this section , along with possible ways to alleviate the fallacies . The ...
Contents
THE ROLE OF PRODUCTION CONTROL | 1 |
INFORMATION FLOW | 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 historical data 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