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 101
... Linear 0.01 0.9478 1.4382 11.9468 Linear 0.1 1.0190 Linear 0.2 1.0959 Linear 0.3 1.1785 Linear 0.5 1.4816 3.9 THE BOX - JENKINS APPROACH We could not cover forecasting completely without briefly mentioning the Box - Jenkins technique.10 ...
... Linear 0.01 0.9478 1.4382 11.9468 Linear 0.1 1.0190 Linear 0.2 1.0959 Linear 0.3 1.1785 Linear 0.5 1.4816 3.9 THE BOX - JENKINS APPROACH We could not cover forecasting completely without briefly mentioning the Box - Jenkins technique.10 ...
Page 137
... linear - programming ( LP ) model . Bowman ( 1956 ) 3 suggested a transportation model in which the monthly production capacities are sources and the monthly demands are sinks . Buffa and Miller ( 1979 ) 4 present a generalized linear ...
... linear - programming ( LP ) model . Bowman ( 1956 ) 3 suggested a transportation model in which the monthly production capacities are sources and the monthly demands are sinks . Buffa and Miller ( 1979 ) 4 present a generalized linear ...
Page 140
... linear - programming formulation is quite flexible . = To further understand this approach , consider the following linear - program- ming solution to the problem presented in Section 4.3 . Recall that the cost analysis suggested that ...
... linear - programming formulation is quite flexible . = To further understand this approach , consider the following linear - program- ming solution to the problem presented in Section 4.3 . Recall that the cost analysis suggested that ...
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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 control inventory costs inventory item inventory level KANBAN lead-time 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 quadratic RECPT regression regression analysis resource safety stock sequence shift shown in Figure solution step storage Tandem Computers technique total cost units vendor week