12
Figure 3: Inventories and backorders for the basic scenario
|
Basic scenario |
Scenario 1 |
Scenario 2 |
Scenario 3 | |
|
Setup costs |
sij=1,000 for all i,j |
sij=3,000 for all j |
sij=1,000 for all i,j |
sij=1,000 for all i,j |
|
Capacity |
Capj=336 for all j |
Capj=336 for all j |
Cap1=336 Cap2=168 |
Capj=336 for all j |
|
Backorder costs |
li=1,000 for all i |
li=1,000 for all i |
li=1,000 for all i |
l1=3,000 li=1,000 for i=2,...,5 |
Table 6: Summary of the four scenarios
|
Job sequence |
Objective value ($) | |
|
Scenario 1 |
Line 1: 1 2 3 1 2 M 2 2 1 1 Line 2: 4 4 5 5 3 M 4 5 3 5 |
285,620 |
|
Scenario 2 |
Line 1: 4 4 5 1 M 5 2 1 1 4 Line 2: 4 3 3 1 3 3 M 5 4 5 |
443,960 |
|
Scenario 3 |
Line 1: 1 2 3 5 M 2 2 1 1 5 Line 2: 4 4 1 5 2 M 3 4 3 5 |
334,270 |
Table 7: Results of three scenarios
All three scenarios validated the working of the model. It is important to note that, while the
basic scenario was solved optimally, the other three scenarios were not. Instead, good feasible
solutions were obtained using a special branching strategy in the Branch and Bound procedure,
because of the computation time involved. This branching method and the important issue of
computational efficiency, is elaborated on next.
6. Branching Strategy and Performance of the Model
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