Danades eling Techniques Part II.pdf - Adobe Acrobat Reader DC (32-bit) in Window Help Chapter_02_Kelton-... Chapter_01_Kelton.... Chapter5_Banks.pdf Chapter_02_Kelton-... 31 (34 of 63) Chapter 02 Kelton... LS022 SI 178% lela mm Playing Around with the Model Introducing Dependence Between Constraints Other Uses of Binary Decision Variables Linearization of Some Non-linear Models Yes-or-No Decisions Constraints with N Possible Values Mutually Exclusive Alternatives With Contingent Decisions Linking Constraints with the objective Function Example: A Capacity Planning Problem A retail chain is considering whether to expand a distribution center or not. If so, the level of the expansion should be at least 3000 units but not more than 8000 units. The expansion incurs a high initial cost and the cost of expansion follows a nonlinear cost function. Disregarding all other information, formulate the expansion decision constraints only. Lect. smail BAOLU, Ph.D. SIMPLE MODELING TECHNIQUES PARTI 31/60 H Danades eling Techniques Part II.pdf - Adobe Acrobat Reader DC (32-bit) in Window Help Chapter_02_Kelton-... Chapter_01_Kelton.... Chapter5_Banks.pdf Chapter_02_Kelton-... 31 (34 of 63) Chapter 02 Kelton... LS022 SI 178% lela mm Playing Around with the Model Introducing Dependence Between Constraints Other Uses of Binary Decision Variables Linearization of Some Non-linear Models Yes-or-No Decisions Constraints with N Possible Values Mutually Exclusive Alternatives With Contingent Decisions Linking Constraints with the objective Function Example: A Capacity Planning Problem A retail chain is considering whether to expand a distribution center or not. If so, the level of the expansion should be at least 3000 units but not more than 8000 units. The expansion incurs a high initial cost and the cost of expansion follows a nonlinear cost function. Disregarding all other information, formulate the expansion decision constraints only. Lect. smail BAOLU, Ph.D. SIMPLE MODELING TECHNIQUES PARTI 31/60 H