Post on 25-Jul-2015
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PELATIHAN SIMULASI SISTEM INDUSTRI
(Dengan Menggunakan Software ProModel 7.5)
DINO CAESARON, S.T.JURUSAN TEKNIK INDUSTRI
INSTITUT SAINS DAN TEKNOLOGI AL-KAMAL2011
Outline
CASE STUDY 3
CASE STUDY 2
CASE STUDY 1
PENDAHULUAN
CASE STUDY 5
CASE STUDY 6
CASE STUDY 4
PENDAHULUAN
ProModel (Production Modeler) by PROMODEL corporation adalah tools simulasi untuk memodelkan berbagai sistem manufaktur dan jasa.
Sistem manufaktur seperti jobs shops, konveyor, mass production, lini perakitan, flexible manufacturing system, crane, sistem JIT, sistem kanban, dst, dapat dimodelkan dengan ProModel
Sistem jasa seperti rumah sakit, call centers, sistem transportasi, sistem informasi, manajemen pelayanan pelanggan, rantai distribusi, sistem logistik, dan bisnis proses lainnya juga dapat dimodelkan secara efisien dan cepat dengan ProModel
Promodel merupakan tools yang dapat digunakan untuk menguji berbagai alternatif rancangan, ide, dan peta proses sebelum implementasi aktual. Peningkatan pada sistem yang sudah ada atau desain sistem baru dapat dimodelkan dan di uji sebelum mengeluarkan uang, waktu atau sumberdaya lainnya.
Komponen ProModel
Location
Entities
Process
Arrivals
BACK..
Contoh Kasus
At call center for California Cellular, customer service associates are employed to respond to customer calls and complaints. On average, 10 customers call per hour. The time between two calls is exponentially distributed with a mean 6 minutes. Responding to each call takes a time that varies from a low of 2 minutes to a high of 10 minutes, with a mean of 6 minutes. If the company had a policy that
a. The average time to respond a customer call should not be any more than six minutes, how many CS associates should be employed by the company?
Gimana Cara
Ngitungnya… ?
Modelkan, simulasikan dengan ProModel
b. The maximum number of calls waiting should be no more than five, how many CS associates should be employed by the company?
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Case Study 1: Barbershop Asgar
Customers visit barbershop Asgar for a haircut. The customers interarrival time is exponentially distributed with an average of 10 minutes. Dais (the barber) takes (mean and half-width of 9 and 1 minute) uniformly distributed for each haircut. Run the simulation for one day (480 minutes). Find:
a. How many customers does Dan process per day?
b. What is the average number of customers waiting to get a haircut? What is the maximum?
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Steps
Select File → New (isi General Information) → OK Select Build → Locations (buat 2 lokasi:
Tempat_Menunggu & Barber_Dan) Definisikan Tempat_Menunggu = Infinite, FIFO Check off New button → Click Aa → Click pada
layout panel Select Build → Entities (isi Name dengan
Customers) Select Build → Processing (isi process dan routing
sesuai dengan prosedur) Select Build → Arrivals (isi frequency dgn ekspont.10) Jalankan simulasi selama 8 jam
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Statistics
BACK..
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Case Study 2: Antrian ATM
Customers arrive to use the ATM. The average customer inter-arrival time is 3.0 minutes exponentially distributed. When customers arrive to the system they join a queue to wait for their turn. Customers spend an average 2.4 minutes exponentially distributed at the ATM. Run the simulation for 980 hours
a. How many customers are served per day?
b. What is the average customers waiting time in queue?
c. What is the average time spent by a customers in the system?
d. What is the utilization of the ATM?
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STEPS
Select File → New Select Build → Locations (buat 2 lokasi ATM dan
Antrian_ATM) Definisikan panjang Antrian_ATM 32 feet Select Build → Entities (isi Name dengan
ATM_Customers) Select Build → Processing (isi process dan
routing sesuai dengan prosedur) Select Build → Arrivals (isi frequency dgn
eksponent. 3) Jalankan simulasi selama 980 jam
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Statistics
BACK..
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Case Study 3: Multiple Location & Entities
Wooden logs are received at the receiving dock of the Poly Furniture Factory at the rate of one every 10 minutes. Logs go to the splitter, where four pieces are made from each log. The splitting time is Normal (4,1) minutes. The individual pieces go to the lathe, where they are turned for another Triangular (3,6,9) minutes and made into rounds. The rounds go on to a paint booth, where they are converted into painted logs. Painting takes Exponential (5) minutes. Painted logs go to the store. Make simulation model and run the simulation for 10 hours
a. Identifikasi apa saja Location yang digunakan?
b. Identifikasi apa saja Entities yang digunakan?
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STEPS
Select File → New Select Build → Locations (buat 5 lokasi
Receiving_Dock, Splitter_Saw, Lathe, Paint_Booth, dan Painted_Log_Store)
Select Build → Entities (buat 4 entities, bedakan)
Select Build → Processing (isi process dan routing sesuai dengan prosedur)
Select Build → Arrivals (isi frequency dgn 10) Jalankan simulasi selama 10 jam
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Text Command
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Statistics
BACK..
Case Study 4: Add Location & Graph
a. Dari case study tersebut, tambahkan Location. Kemudian beri ukuran (Gauge)
Wooden logs are received at the receiving dock of the Poly Furniture Factory at the rate of one every 10 minutes. Logs go to the splitter, where four pieces are made from each log. The splitting time is Normal (4,1) minutes. The individual pieces go to the lathe, where they are turned for another Triangular (3,6,9) minutes and made into rounds. The rounds go on to a paint booth, where they are converted into painted logs. Painting takes Exponential (5) minutes. Painted logs go to the store. Make simulation model and run the simulation for 10 hours. The drying takes a time that is normally distributed with a mean of 20 minutes and standard deviation of 2 minutes. After drying, the painted logs go on the painted logs store. Note that the capacity of the painting and oven has been changed to 10.
b. Dari case study tersebut, tampilkan % Utilization dalam grafik batang
Layout
BACK..
PENDAHULUAN (cont’d..)
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Grafik Utilization of Location
BACK..
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Case Study 5: Capacity versus Units
At San Dimas Electronic (PCB), jobs arrive at three identical inspection machines according to an exponential distribution with a mean interarrival time of 12 minutes. The first available machine is selected. Processing on any of the parallel machines is normally distributed with a mean of 10 minutes and a standard deviation of 3 minutes. Upon completion, all jobs are sent to a fourth machine, where they queue up for date stamping and packing for shipment; this take five minutes normally distributed with a standard deviation of two minutes.Run the simulation for one month (20 days, eight hours each).
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STEPS
Select File → New Select Build → Locations (buat 3 lokasi
Area_Penerimaan, Inspect, Packing) Ganti units pada inspect menjadi 3 Select Build → Entities (PCB) Select Build → Processing (isi process dan
routing sesuai dengan prosedur) Select Build → Arrivals (isi frequency dgn
eksponensial 12) Jalankan simulasi selama 160 jam
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Statistics
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Case Study 6: Routing Rules
Amar, Akbar, and Anthony are three tellers in the local branch of Bank of Indonesia. Assume the customers arrive at the bank according to a uniform distribution (mean of five minutes and half-width of four minutes). All the tellers service the customers according to another uniform distribution (mean of 10 minutes and half-width of 6 minutes). However, the customers prefer Amar to Akbar, and Akbar over Anthony. If the teller of choice busy, the customers choose the first available teller. Simulate the system for 200 customer service completions.
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STEPS
Select File → New Select Build → Locations (buat 5 lokasi Amar,
Akbar, Anthony, Enter, Antrian_Teller) Length Antrian_Teller 100 feet Select Build → Entities Select Build → Processing (isi process dan
routing sesuai dengan prosedur) Select Build → Arrivals (isi occurences dgn 200,
frequency dgn uniform 5,4) Jalankan simulasi
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Layout
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Statistics
KESIMPULAN
Pemodelan dan Simulasi dapat diaplikasikan baik pada industri manufaktur ataupun industri jasa (services).
Penggunaan pemodelan dan simulasi akan memberikan gambaran secara nyata sebelum memutuskan untuk implementasi aktual.
Penggunaan pemodelan dan simulasi dapat menghemat waktu, biaya yang dikeluarkan ketika memutuskan untuk membangun sistem yang sesungguhnya (aktual).
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