Management science : quantitative methods for business/ operations research / Winston S. Sirug

By: Sirug, Winston SMaterial type: TextTextSeries: A WSS senior high school book seriesPublisher: Intramuros, Manila : Mindshapers Co., Inc., [2023]Copyright date: ©2023Description: x, 403 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: sheet ISBN: 9789719655213Subject(s): Management scienceDDC classification: 658
Contents:
Chapter 1: System of linear equations and inequalities. 1. 1. Types of system of linear equations. 1.2. Methods of solving system of linear equations. 1.3. Inequality and its properties. 1.4. Graphing linear equations. 1.5. System linear inequalities. -- Chapter 2: Linear programming: Graphical method. 2.1 Geometry of linear programming. 2.2. Linear programming problem involving mixed constraints. 2.3. Special cases in linear programming problem. -- Chapter 3: Linear programming: simplex method. 3.1. Basic concepts. 3.2. Standard LP Model: maximization problem. 3.3. Standard LP Model: Minimization problem. 3.4. Non-standard LP Model. 3.5. Special cases in LP problem. -- Chapter 4: Linear programming: duality and sensitivity analysis. 4.1 Basic concepts on duality. 4.2. Establishing duality solution of an LP model. 4.3. Sensitivity analysis.-- Chapter 5: Transportation model. 5.1. Basic concepts. 5.2. Transportation model's initials and optimal solution. 5.3. Initial feasible solution. 5.4. Minimization: optimal feasible solution. 5.5. Maximization: optimal feasible solution. 5.6. Alternative optimal solutions. 5.7. Balanced and unbalanced transportation model. 5.8. Degenerate and non-degenerate transportation model.-- Chapter 6: Assignment model. 6.1. Basic concepts. 6.2. Assignment model: Minimization problem. 6.3. Assignment model : Maximization model. 6.4. Unbalanced assignment model: minimization problem. 6.5. Unbalanced assignment model: maximization problem. 6.6. Assignment model: Degenerate case. -- Chapter 7: Project management. 7.1. Basic concepts. 7.2. Critical path method. 7.3. Program/ project evaluation and review technique. 7.4. Gantt chart. 7.5. Considering time-cost trade-offs. -- Chapter 8: Break-Even analysis. 8.1. Basic concepts. 8.2. Linear profit analysis. 8.3. Nonlinear profit analysis. 8.4. Derivative. 8.5. Finding the critical points of nonlinear functions. 8.6. Application maxima and minima in business.-- Chapter 9: Forecasting. 9.1. Basic concepts. 9.2. Simple moving average. 9.3. Weighted moving average. 9.4. Simple exponential smoothing. 9.5. Adjusted forecast. 9.6. Forecast reliability. 9.7. Simple linear regression.-- Chapter 10: Decision theory. 10.1. Basic concepts. 10.2. Decision making criteria. 10.3. Expected value/ mathematical expectation. 10.4. Decision trees.-- Chapter 11: Inventory model. 11.1. Basic concepts. 11.2. Importance of effective inventory management. 11.3. Economic Order Quantity (EOQ). 11.4.The EOQ model with shortages and back ordering. .
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Book Book Capt. Geronimo Amurao Learning Resource Center
General Collection 		BSTM 658 Si79m 2023 (Browse shelf (Opens below)) c.1 Not For Loan 003370

Chapter 1: System of linear equations and inequalities. 1. 1. Types of system of linear equations. 1.2. Methods of solving system of linear equations. 1.3. Inequality and its properties. 1.4. Graphing linear equations. 1.5. System linear inequalities. -- Chapter 2: Linear programming: Graphical method. 2.1 Geometry of linear programming. 2.2. Linear programming problem involving mixed constraints. 2.3. Special cases in linear programming problem. -- Chapter 3: Linear programming: simplex method. 3.1. Basic concepts. 3.2. Standard LP Model: maximization problem. 3.3. Standard LP Model: Minimization problem. 3.4. Non-standard LP Model. 3.5. Special cases in LP problem. -- Chapter 4: Linear programming: duality and sensitivity analysis. 4.1 Basic concepts on duality. 4.2. Establishing duality solution of an LP model. 4.3. Sensitivity analysis.-- Chapter 5: Transportation model. 5.1. Basic concepts. 5.2. Transportation model's initials and optimal solution. 5.3. Initial feasible solution. 5.4. Minimization: optimal feasible solution. 5.5. Maximization: optimal feasible solution. 5.6. Alternative optimal solutions. 5.7. Balanced and unbalanced transportation model. 5.8. Degenerate and non-degenerate transportation model.-- Chapter 6: Assignment model. 6.1. Basic concepts. 6.2. Assignment model: Minimization problem. 6.3. Assignment model : Maximization model. 6.4. Unbalanced assignment model: minimization problem. 6.5. Unbalanced assignment model: maximization problem. 6.6. Assignment model: Degenerate case. -- Chapter 7: Project management. 7.1. Basic concepts. 7.2. Critical path method. 7.3. Program/ project evaluation and review technique. 7.4. Gantt chart. 7.5. Considering time-cost trade-offs. -- Chapter 8: Break-Even analysis. 8.1. Basic concepts. 8.2. Linear profit analysis. 8.3. Nonlinear profit analysis. 8.4. Derivative. 8.5. Finding the critical points of nonlinear functions. 8.6. Application maxima and minima in business.-- Chapter 9: Forecasting. 9.1. Basic concepts. 9.2. Simple moving average. 9.3. Weighted moving average. 9.4. Simple exponential smoothing. 9.5. Adjusted forecast. 9.6. Forecast reliability. 9.7. Simple linear regression.-- Chapter 10: Decision theory. 10.1. Basic concepts. 10.2. Decision making criteria. 10.3. Expected value/ mathematical expectation. 10.4. Decision trees.-- Chapter 11: Inventory model. 11.1. Basic concepts. 11.2. Importance of effective inventory management. 11.3. Economic Order Quantity (EOQ). 11.4.The EOQ model with shortages and back ordering.
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