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Algorithms 2018,11, 68
Table4showscharacteristicsof the jobs.WeconsideraworkloadwithďŹve jobs forproduction
of theďŹve types of tortillasmost demandedby industry: Regular, Integral, Class 18pcs, Taco 50,
andMegaBurro. Each job is characterizedby its type, group, andbatches required forproduction.
Ithasseveralassignedbatches. Thisquantitymustbewithinacertainrange that isobtainedfromthe
standarddeviationsof theaveragemonthlyproduction inkilogramsof tortillas forayear.
Table4. Jobcharacteristics.
Job j Name Type Group BatchLimits
1 Regular 1 1 356â446
2 Integral 2 2 34â61
3 Class18pcs 3 1 7â10
4 Taco50 4 1 13â22
5 MegaBurro 5 1 12â20
Thebatch indicates thenumberof10kgtasks thathave tobeprocessed in the job.A jobwithone
batch indicatesprocessing10kg,andwithďŹvebatches indicatesprocessing50kg.
Thegroupindicates thecompatibilityof the job tasks. Job tasksbelongingto thesamegroupmay
beprocessedsimultaneously. For instance, theycanbeprocessedonallunrelatedmachinesofStage2,
if their sizesare less thanorequal to thecapacity inkilogramsof themachines (Table1). The job tasks
of thesametypeofdoughcanbecombined, formingcompatibilitygroups. In this case, the jobsof
Types1,3,4,and5belongtoGroup1,and jobsofType2belongtoGroup2.
Table5 showsprocessing times inminutes for every10kgof tortilla fora job type. The10kg
representsa task.Wesee that inStages2and4,allmachinesprocess jobs for thesamedurationsof1
and45min, respectively,dueto the fact that the timedoesnotdependonthe job type.
Table5.ProcessingtimePik,jof job jatmachinek instage i foreach10kg.
Stage 2 3 4 5 6 7
Machines 1â6 1â6 1â6 1â3 4â6 1â6 1â6
Jobs 1 1 1.25 45 1.43 1.07 12.15 17.25
2 1 1.25 45 1.48 1.11 12.15 17.25
3 1 4.38 45 3.69 2.77 21.38 26.48
4 1 3.13 45 3.00 2.25 24.50 29.60
5 1 0.42 45 2.28 1.14 18.24 23.34
Table6showsthesetuptimeofmachinesateachstage.Atstages from3to7, thesetuptimeis
independentof the tasksequence, job type,andweight.
Table6.Sequencesetuptimeforallmachines instage i.
Stage 2 3 4 5 6 7
Setuptime st2 0.7 0.7 0.5 0 0
AtStage2, thesetuptimeiscalculatedas follows:
st2= (
35+ (
tw
10Ă5 ))
60 (1)
where tw is the totalweight inkilogramsof the tasks tobeprocessedbymachines in thesametime
period. These taskshavetobelongto jobsof thesamegroup.
77
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book Algorithms for Scheduling Problems"
Algorithms for Scheduling Problems
- Title
- Algorithms for Scheduling Problems
- Authors
- Frank Werner
- Larysa Burtseva
- Yuri Sotskov
- Editor
- MDPI
- Location
- Basel
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-03897-120-7
- Size
- 17.0 x 24.4 cm
- Pages
- 212
- Keywords
- Scheduling Problems in Logistics, Transport, Timetabling, Sports, Healthcare, Engineering, Energy Management
- Categories
- Informatik
- Technik