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 44
... PERT attempts to achieve this aim . The attributes and deficiencies of CPM and PERT will be discussed in separate sections of this chapter when each technique is more fully discussed in its own right . Suffice it to say for the moment ...
... PERT attempts to achieve this aim . The attributes and deficiencies of CPM and PERT will be discussed in separate sections of this chapter when each technique is more fully discussed in its own right . Suffice it to say for the moment ...
Page 59
... PERT example , consider the same network evolved for the CPM example , with PERT estimates as given in Figure 3.12 . The first step in the PERT procedure is to determine the mean for each job , i , by : μι = a + 4m + b 6 Using these ...
... PERT example , consider the same network evolved for the CPM example , with PERT estimates as given in Figure 3.12 . The first step in the PERT procedure is to determine the mean for each job , i , by : μι = a + 4m + b 6 Using these ...
Page 63
... PERT data : 1.64 = Χ 17.50 / 109 36 and x = ( 1.64 ) ( 10.45 ) 6 = + 17.50 20.35 days The interpretation would be that the probability of completing a 21 - day schedule on time would be 95 % . PERT attempts to account for some of the ...
... PERT data : 1.64 = Χ 17.50 / 109 36 and x = ( 1.64 ) ( 10.45 ) 6 = + 17.50 20.35 days The interpretation would be that the probability of completing a 21 - day schedule on time would be 95 % . PERT attempts to account for some of the ...
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