Integrated Production Control Systems: Management, Analysis, 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 147
... coefficients to be determined . ( 5.2 ) The coefficient a , indicates how much of the variation in the historical work - force decisions can be explained by the previous period's work force . Therefore , a , tends to explain how much ...
... coefficients to be determined . ( 5.2 ) The coefficient a , indicates how much of the variation in the historical work - force decisions can be explained by the previous period's work force . Therefore , a , tends to explain how much ...
Page 151
... coefficients . In light of this very significant limitation , the management coefficients approach must not be implemented blindly . Perhaps its safest use is as another input to management's continued intuitive - decision process . In ...
... coefficients . In light of this very significant limitation , the management coefficients approach must not be implemented blindly . Perhaps its safest use is as another input to management's continued intuitive - decision process . In ...
Page 156
... coefficients approach . This does not say that management out- performed the optimal solution ; rather , it says that the linear approximation lost so much reality that the management coefficients did better with the real - world ...
... coefficients approach . This does not say that management out- performed the optimal solution ; rather , it says that the linear approximation lost so much reality that the management coefficients did better with the real - world ...
Contents
THE ROLE OF PRODUCTION CONTROL | 1 |
PRODUCTION CONTROL INFORMATION FLOW | 16 |
PROJECT PLANNING | 41 |
Copyright | |
16 other sections not shown
Common terms and phrases
ACTIM activity aggregate planning Algorithm allocation analysis approach Arizona State University assigned average BABALB batch Bedworth Box-Jenkins Branch and Bound calculated chapter completion considered critical path cycle Data Set determine developed due date duration economic order quantity Equation example problem exponential smoothing forecasted demand FORMAT Gantt chart given in Figure given in Table graphical heuristic Industrial Engineering input inventory costs inventory item inventory level iterative lead-time Line Balancing linear makespan Management Science manufacturing master schedule materials requirement plan maximum mean flow-time mean tardiness minimize minimum needed node nonconsecutive normal operation optimal optimum order quantity overtime period PERT PREDICTS procedure processor production control regression regression analysis rule safety stock scheduling problem sequence shift schedule solution storage tardy tasks technique TIMRES TNOW utilized week