Step 1 Let us assume the decision variable as E; = number of employees available in month H; = number of employees hired in month F;= number of employees fired in month R;= regular production in month 0; = overtime production in month V;= Inventory at the end of month Therefore, Regular production in each month =30 - wi Overtime production capacity =10% of ( 30 - w;) = 3w; Step 2 Objective function: Minimum total cost including employees salary, hiring and firing cost, inventory holding cost, regular and overtime production cost. Minimum z=E 110w; + 8R1 + 7R2 + 4R3+ 2R4 + 6R5 + 8R6 + 8R7 + 6Rs + 7R9 +7R10 + 5R11 + 8R12 + 1V1 + 4V2 + 3V3 + 4V4 + 3Vs + 3V6 + 2V7 + 1Vg +4V9 + 5V10 + 4V1 + 1V12 + 901 + 802 + 503 + 304 +705 + 240H7 +25H8 + 162H9 + 228H10 + 210H| + 192H12 + 213F¡ + 276F2 + 342F3 +306F4 + 222Fs + 294F6 + 180F7 + 190Fg + 200F9 + 200F10 + 210F|| + 240F12
Step 1 Let us assume the decision variable as E; = number of employees available in month H; = number of employees hired in month F;= number of employees fired in month R;= regular production in month 0; = overtime production in month V;= Inventory at the end of month Therefore, Regular production in each month =30 - wi Overtime production capacity =10% of ( 30 - w;) = 3w; Step 2 Objective function: Minimum total cost including employees salary, hiring and firing cost, inventory holding cost, regular and overtime production cost. Minimum z=E 110w; + 8R1 + 7R2 + 4R3+ 2R4 + 6R5 + 8R6 + 8R7 + 6Rs + 7R9 +7R10 + 5R11 + 8R12 + 1V1 + 4V2 + 3V3 + 4V4 + 3Vs + 3V6 + 2V7 + 1Vg +4V9 + 5V10 + 4V1 + 1V12 + 901 + 802 + 503 + 304 +705 + 240H7 +25H8 + 162H9 + 228H10 + 210H| + 192H12 + 213F¡ + 276F2 + 342F3 +306F4 + 222Fs + 294F6 + 180F7 + 190Fg + 200F9 + 200F10 + 210F|| + 240F12
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 33P: Assume the demand for a companys drug Wozac during the current year is 50,000, and assume demand...
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Linear Programming is an optimization technique used to achieve the best outcome or output by taking various constraints and factors. It is a mathematical model which uses a set of variables to form linear relationships.
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