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Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 10 Optimum cutting of fresh and fired sugarcane in each region for year 2014/15 (bi-objective, mcf = 0). It is assumed that all sugarcane in each region can be cut in one 15-day period

From: Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods

Type

Region

Period

LB (109 baht)

UB (109 baht)

Revenue (109 baht)

Total cost (109 baht)

Profit (109 baht)

Fresh

North

–

9.184

9.77

–

–

–

Central

1–15/05/14

10.246

11.006

10.879

10.246

0.633

East

–

1.541

1.660

–

–

–

North-east

1–15/05/14

21.447

23.192

23.898

21.447

2.451

Fired

North

–

22.387

23.815

–

–

–

Central

1–15/04/14

20.820

22.364

21.029

20.820

0.210

East

–

4.813

5.185

–

–

–

North-east

1–15/05/14

31.940

34.539

33.964

31.940

2.024

  1. Note: The – in column mean that no optimal solution could be found because the costs were greater than the revenue.
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