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 258
... rule can be employed confidently . One caution is in order . If tasks continually arrive over time , the SPT rule will tend to avoid the longer task in favor of some newly arrived shorter one . Thus , it is possible to have very long ...
... rule can be employed confidently . One caution is in order . If tasks continually arrive over time , the SPT rule will tend to avoid the longer task in favor of some newly arrived shorter one . Thus , it is possible to have very long ...
Page 260
... rule , first reported by Jackson ( 1955 ) , is referred to as the earliest due - date ( EDD ) rule . It is used to minimize the maximum task lateness or maximum task tardiness . Unfortunately , the rule tends to make more tasks tardy ...
... rule , first reported by Jackson ( 1955 ) , is referred to as the earliest due - date ( EDD ) rule . It is used to minimize the maximum task lateness or maximum task tardiness . Unfortunately , the rule tends to make more tasks tardy ...
Page 263
... rule , even for n tasks and one processor , mini- mizes mean tardiness . In specialized situations , as shown by Baker , simple rules do apply . Those cases are as follows . THEOREM 7.5 The EDD Rule for Minimizing Mean Tardiness on One ...
... rule , even for n tasks and one processor , mini- mizes mean tardiness . In specialized situations , as shown by Baker , simple rules do apply . Those cases are as follows . THEOREM 7.5 The EDD Rule for Minimizing Mean Tardiness on One ...
Contents
THE ROLE OF PRODUCTION CONTROL | 1 |
PRODUCTION CONTROL | 18 |
FORECASTING | 59 |
Copyright | |
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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