Topic 7B-Short Term Scheduling
Transcript of Topic 7B-Short Term Scheduling
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Operat ionsManagement
Top ic 7B Sho rt TermSchedul ing
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Scheduling
Schedul ing : Establ ish ing the t iming of
the use of equ ipment, faci l i t ies and
human act iv i t ies in an o rganizat ion
Effect ive schedu l ing can y ield
Cost sav ings
Inc reases in product iv i ty
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Sequencing
Sequenc ing : Determ ine the order in
which jobs at a work center w i ll be
processed.
Works tat ion: An area where one
person w orks , usually w i th special
equ ipment, on a special ized job .
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Sequencing Jobs
Speci fies the order in which jobs
shou ld be performed at work centers
Prior i ty ru les are used to dispatch o rsequence jobs
FCFS: First come, f irst served
SPT: Sho rtest process ing t im eEDD: Earl iest due date
LPT: Longest processing t ime
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Average com pletion t ime =Total f low time
Number of jobs
Uti l ization =Total job wo rk t im e
Total f low time
Averagenumber of jobsin the sys tem
= Total f low time
Total job wo rk t im e
Average job lateness =Total late days
Number of jobs
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Sequencing Example
Job
Job Work (Processing)
Time(Days)
Job Due
Date(Days)
A 6 8
B 2 6
C 8 18
D 3 15
E 9 23
Apply the four popular sequencing rules
to these f ive jobs
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Sequencing Example
Job
Sequence
Job Work
(Processing)
Time
Flow
Time
Job Due
Date
Job
Lateness
A 6 6 8 0
B 2 8 6 2
C 8 16 18 0
D 3 19 15 4
E 9 28 23 5
28 77 11
FCFS: Sequence A-B -C-D-E
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Sequencing Example
Job
Sequence
Job Work
(Processing)
Time
Flow
Time
Job Due
Date
Job
Lateness
A 6 6 8 0
B 2 8 6 2
C 8 16 18 0
D 3 19 15 4
E 9 28 23 5
28 77 11
FCFS: Sequence A-B -C-D-E
Average com plet ion t ime = = 77/5 = 15.4daysSum of tota l flow t ime
Number of jobs
Uti l ization = = 28/77 = 36.4%Tota l job work t ime
Sum o f total f low t ime
Average number of
jobs in the sys tem
= = 77/28 = 2.75jobsSum of tota l f low t ime
Tota l job w ork t ime
Average job lateness = = 11/5 = 2.2daysTotal late days
Number of jobs
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Sequencing N Jobs on Two
Machines: Johnsons RuleJohnsons Rule N 2 (N jobs; more
than 2 jobs)
Min p rocessing t ime for sequencing a
group of jobs through 2 wo rk centerswhi le m in tota l id le t ime in the wo rk
centers
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Johnsons Rule
1. L is t al l jobs and t imes for each work
center
2. Choose the job wi th the shor tes t act iv i ty
t ime. If that t ime is in the f irst work center,
schedule the job f i rs t . If i t is in the second
work center, schedu le the job last.
3. Once a job is scheduled, i t is el im inatedfrom the lis t
4. Repeat s teps 2 and 3 wo rk ing toward the
center of the sequence
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Johnsons Rule Example
JobWork Center 1
(Drill Press)Work Center 2
(Lathe)
A 5 2
B 3 6
C 8 4
D 10 7
E 7 12
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B E D C A
Johnsons Rule Example
JobWork Center 1
(Drill Press)Work Center 2
(Lathe)
A 5 2
B 3 6
C 8 4
D 10 7
E 7 12
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35333328A
33292820C
29222010D
2210103E
9330B
Time OutTime InTime OutTime InJob
WORK CENTER 2WORK CENTER 1
Idle Time M1 = 2 Idle Time M2 = 3 + 1 = 4
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Johnsons Rule Example
JobWork Center 1
(Drill Press)Work Center 2
(Lathe)
A 5 2
B 3 6
C 8 4
D 10 7
E 7 12
Tim e 0 3 10 20 28 33
B ACDEWC1
WC2
B ACDE
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Johnsons Rule Example
JobWork Center 1
(Drill Press)Work Center 2
(Lathe)
A 5 2
B 3 6
C 8 4
D 10 7
E 7 12
Tim e 0 3 10 20 28 33
Time
0 1 3 5 7 9 10 11 12 13 17 19 21 22 2325 27 29 31 33 35
B ACDE
B ACDE
WC1
WC2
B E D C A
B ACDE
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Id le Time WC 1 = 2
Id le Time WC 2 = 3 + 1 = 4
The five jobs are completed in 35
hours. The WC 2 w il l have to wait 3
hours before f i rst job at WC 1 is
completed and w i ll also wai t for
ano ther 1 hour after complet ing job B .
Johnsons Rule Example
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Limitations
Rules do not look beyond due dates.
May be two work centers at the
same due date. Wh ich one is
important
Rules do no t look upstream or
downs tream . Idle resources &bo t t leneck resou rces may be not
recognized.
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Finite Capacity Scheduling
MRP Data
Masterschedule
BOM
Inventory
Pr ior i tyrules
Expertsys tems
Simulat ionmodels
Rout ing f i les
Work centerin format ion
Tool ingand otherresources
Setups and
run t ime
Figure 15.5
Interact ive Finite Capacity Sch edulin g
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Bottlenecks
Bo tt leneck work centers are cons traintsthat l im i t outpu t
Common occu rrence due to frequent ch anges
Management techniques include: Inc reasing the capaci ty of th e constra int
Cross -trained employees and maintenance
Alternat ive rout ings
Moving ins pect ion and test
Schedul ing throughpu t to m atch bot t leneck
capaci ty
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Service Sys tems Dif fer From
Manufactur ing
Manufactur ing Services
Schedules machines
and mater ia ls
Schedule s taff
Inventor ies used to
smooth demand
Seldom mainta in inventor ies
Mach ine-intensiv e and
demand may be smooth
Labor -intensive and demand
may be variable
Schedu l ing may be bound by
un ion cont rac ts
Legal issues may constra in
f lex ib le sch edul ing
Few soc ial or behavior al
issues
Social and behavioral issues
may be qui te impo rtant
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Figure 15.1
Summary