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Figure5.Strategicallocationofcommoncomponent inTestCase2.
2. ScenarioofBoundedRationalDecisionMaker
The ordering quantities and profits under bounded rationality for test case 2 are reported
inTable4.
Table4.Orderingquantitiesandprofitsunderboundedrationality for test case2.
CasesforBoundedRationalityConditionswithVaryingβParameter
β Ordering
Quantity in
Market1 Ordering
Quantity in
Market2 Ordering
Quantity in
Market3 Ordering
Quantity in
Market4 Total
Profits %Deviation
fromAchievable
Profits
0 1225 1263 923 1234 286,550 0.45
10 1232 1305 940 1258 262,834 1.53
100 1242 1360 1051 1264 213,850 2.24
1000 1335 1374 1066 1395 204,467 2.2
10,000 1409 1444 1066 1395 216,800 2.57
100,000 1462 1471 1066 1402 283,890 2.83
1,000,000 1500 1498 1075 1428 278,777 3.44
4.3. III.TestCase3
Problemsizen=10
1. ScenarioofUniformDemandDistribution
X:
Table5showstheproductionallocationvaluesof test case3.
Table5.Productionallocationvalues for test case3.
Market1 Market2 Market3 Market4 Market1 Market2 Market3 Market4 Market9 Market10
Plant1 1153 0 0 780 0 0 0 0 0 0
Plant2 0 593 782 0 0 0 0 543 0 0
Plant3 0 0 0 0 0 0 1472 0 0 0
Plant4 1673 0 0 0 0 0 0 0 0 0
Plant5 0 630 0 226 0 0 0 0 0 476
Plant6 1885 0 0 0 0 0 0 0 0 0
Plant7 0 252 378 150 0 0 0 474 0 720
139
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Buch Algorithms for Scheduling Problems"
Algorithms for Scheduling Problems
- Titel
- Algorithms for Scheduling Problems
- Autoren
- Frank Werner
- Larysa Burtseva
- Yuri Sotskov
- Herausgeber
- MDPI
- Ort
- Basel
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-03897-120-7
- Abmessungen
- 17.0 x 24.4 cm
- Seiten
- 212
- Schlagwörter
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Kategorien
- Informatik
- Technik