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How do you construct the total cost objective function for the three-machine production problem?

The total cost objective function is constructed by summing the variable production costs and the fixed setup costs. Variable costs are calculated by multiplying the unit variable cost of each machine by the number of units produced on that machine (XiX_i). Fixed costs are calculated by multiplying the fixed setup cost of each machine by its binary activation indicator (YiY_i). The objective is to minimize this total sum.

Conditions

  • There are multiple machines with distinct variable and fixed costs.
  • XiX_i represents the continuous production quantity on machine ii.
  • YiY_i represents the binary activation status of machine ii.
  • The goal is cost minimization.

Reasoning, step by step

  1. Identify the variable cost per unit for each machine.
  2. Identify the fixed cost for each machine.
  3. Multiply each machine's variable cost by its production variable XiX_i.
  4. Multiply each machine's fixed cost by its binary variable YiY_i.
  5. Sum all variable cost terms and all fixed cost terms.
  6. Formulate the minimization objective: Min ∑(viXi+fiYi)\sum (v_i X_i + f_i Y_i).

Example

For machines with variable costs 2.39, 1.99, 2.99 and fixed costs 300, 250, 400, the objective function is: Min 2.39X1+1.99X2+2.99X3+300Y1+250Y2+400Y32.39X_1 + 1.99X_2 + 2.99X_3 + 300Y_1 + 250Y_2 + 400Y_3.

Common misconceptions

  • Adding fixed costs directly without multiplying by YiY_i.
  • Multiplying variable costs by YiY_i instead of XiX_i.
  • Maximizing the cost function instead of minimizing it.

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