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
... BOX - JENKINS APPROACH We could not cover forecasting completely without briefly mentioning the Box - Jenkins technique.10 This approach strives for the best model for forecasting purposes based on the time - series data . Theoretically ...
... BOX - JENKINS APPROACH We could not cover forecasting completely without briefly mentioning the Box - Jenkins technique.10 This approach strives for the best model for forecasting purposes based on the time - series data . Theoretically ...
Page 102
... Box - Jenkins programs , this is usually not the methodology employed . Moving Average ( MA ) Process A second category of Box - Jenkins models is of the form ww where Y1 = μ + ε , - - -1 ... - - μ Ꮎ ; ει - = = the model mean , series ...
... Box - Jenkins programs , this is usually not the methodology employed . Moving Average ( MA ) Process A second category of Box - Jenkins models is of the form ww where Y1 = μ + ε , - - -1 ... - - μ Ꮎ ; ει - = = the model mean , series ...
Page 115
... Box - Jenkins AR ( 1 ) model is to be fit to the following data : t 1 2 3 4 5 6 7 8 9 Y , 20 15 30 25 30 25 40 30 25 Determine the AR ( 1 ) equation of fit by conventional least - squares regres- sion and estimate the mean for your ...
... Box - Jenkins AR ( 1 ) model is to be fit to the following data : t 1 2 3 4 5 6 7 8 9 Y , 20 15 30 25 30 25 40 30 25 Determine the AR ( 1 ) equation of fit by conventional least - squares regres- sion and estimate the mean for your ...
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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