Solving Sequencing Problems Using Excel Solver Solution (2 Suitable Examples)

Example 1 – Solving the Traveling Salesman Sequencing Problem Using the Solver

The sample dataset contains 4 Cities and the Distance between them. We’ll find out a sequence of the cities for a traveling salesman so that the total distance covered will be minimal.

solving sequencing problems using excel solver solution

STEPS:

  • We’ll set up a random order in the I column as shown below.
  • Select cell J6.
  • Insert the formula:
=INDEX($D$5:$G$8,I6,I5)
  • Press Enter. The INDEX function extracts the distance between the cities specified in I6 and I5.
  • Use AutoFill to get the other outputs.

Solving Traveling Salesman Sequencing Problem Using Excel Solver Solution

  • Select cell J5.
  • Input the formula:
=INDEX($D$5:$G$8,I5,I8)
  • Click Enter.

  • Use the AutoSum feature in cell J9 to calculate the total distance.

calculating total distance of sequencing problem

  • Go to File and select Options.
  • The Excel Options box will pop out.
  • In the Add-ins tab, select Excel Add-ins and choose Go.

  • Check the box for Solver Add-in.
  • Press OK.

adding excel solver tool

  • Click Data and select Solver.

  • In the Solver Parameters dialog box, select Set Objective and put E15.
  • Choose Min.
  • Select B11:B14 from the data for the By Changing Variable Cells
  • We’ll add the constraints by clicking the Add button.
  • Our constraints are:

B11:B14 <= 4

B11:B14 = AllDifferent

B11:B14 = integer

B11:B14 >= 1

  • Select Evolutionary as the solving method.
  • Press Solve.

preparing excel solver to solve sequencing problems

  • This’ll return a new sequence where the total distance is the lowest value possible.
  • In this way, we can solve sequencing problems using the Solver tool.

excel solver solution of sequencing problem

Read More: How to Use Excel Solver for Linear Programming


Example 2 – Apply the Solver to Solve the Job Schedule Sequencing Problem

The following dataset has 4 types of Jobs, Days Needed, and Due Dates. We’ll make an order of the jobs where the Tardiness will be as little as possible.

Apply Excel Solver Solution to Solve Job Schedule Sequencing Problem

STEPS:

  • Create a random sequence.
  • As a starting day, 0 is placed in cell C11.
  • Select cell C12.
  • Insert the formula:
=INDEX($D$5:$D$8,MATCH(C10,$B$5:$B$8,0))+C11
  • Press Enter to get the result. The MATCH function looks for the C10 cell value in the range B5:B8 and returns the position. The INDEX function extracts the days needed to complete the specified task.
  • The starting date is added to the function output to get the finishing date.

  • Select cell D11 and input the formula:
=C12
  • Press Enter to get the starting date of the next task.

  • Use AutoFill to complete the starting and ending series.

  • Choose cell C13 to insert the formula:
=INDEX($E$5:$E$8,MATCH(C10,$B$5:$B$8,0))

The MATCH function extracts the position of a specific task. The INDEX function returns the due date for that task.

  • Apply AutoFill.

  • Select cell C14.
  • Input the formula:
=MAX(0,C12-C13)
  • Click Enter. The MAX function compares the values and returns the largest.
  • Use AutoFill.

  • To calculate the total tardiness, click cell C16 and insert:
=SUM(C14:F14)
  • Press Enter.

  • Go to Data and select Solver. To enable it, see the process in Example 1.
  • In the pop-out dialog box, set C16 as the objective.
  • Choose Min.
  • We’ll change C10:F10 as the variables.
  • The constraints in this problem are:

C10:F10 = AllDifferent

C10:F10 = integer

  • Choose Evolutionary as the solving method.
  • Click Solve.

preparing excel solver for solving sequencing problems

  • You’ll get the best sequence with as little as possible tardiness.

excel solver solution of sequencing problems

Read More: Example with Excel Solver to Minimize Cost


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Zhiping Yan
Zhiping Yan

I am from China and this photo was taken in a classical garden. There are many similar gardens in China, attracting a lot of visitors every year, especially in spring and summer. I was major in Biotechnology. But I took a job as a SAS programmer because I prefer programming. Besides SAS, I also learned Excel VBA in my spare time. It is fantastic to be able to manipulate data, files and even to interact with the internet... Read Full Bio

7 Comments
  1. Thank you Professor for the nice and useful illustration. I teach subjects like Operations Management ad Decision Science and use Excel for solving the problems. Your methods are very helpful. Can you kindly explain how to solve sequencing problem using Johnson’s algorithm of scheduling n-jobs on 2-machines?

  2. Thank you for the very informative tutorial.

    I would like some advice though to take the shop scheduling problem 1 step further.

    How can I do this at a time/hour level – rather than day?

    For example – if we have x amount of jobs in queue; varying in duration
    We can only turn around jobs during standard work hours (7 AM and 4 PM).
    We also need to meet delivery dates.

    How do I arrange jobs in a way that maximizes machine utilization?

    • Greetings, LOIACONO.
      I appreciate you asking this question. You have to follow the “3 Shop Scheduling Problem” example from this article. If you wish to do the calculation at a time/hour level instead of a day level, you need to input hours instead of days in the Days needed column. You must then follow the example’s rest of the process to arrange jobs in a way that maximizes machine utilization.

  3. Nice model that can be simplified a bit because the help file for solver stats that:

    “A constraint such as A1:A5 = alldifferent, where A1:A5 are decision variable cells, requires that these cells must be integers in the range 1 to N (N = 5 in this example), with each variable different from all the others at the solution.”

    So constraints G3:G8=1 and G3:G8 = integer are not needed

    Alf

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