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PERENCANAAN AGREGAT (DISAGREGASI) & TEORI KAPASITAS Kuliah 4 LSiPro – FT Untirta Muhammad Adha Ilhami 3 rd Edition 2014 Muhammad Adha Ilhami.

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Presentasi berjudul: "PERENCANAAN AGREGAT (DISAGREGASI) & TEORI KAPASITAS Kuliah 4 LSiPro – FT Untirta Muhammad Adha Ilhami 3 rd Edition 2014 Muhammad Adha Ilhami."— Transcript presentasi:

1 PERENCANAAN AGREGAT (DISAGREGASI) & TEORI KAPASITAS Kuliah 4 LSiPro – FT Untirta Muhammad Adha Ilhami 3 rd Edition 2014 Muhammad Adha Ilhami

2 Tujuan Pembelajaran Mahasiswa mampu menggunakan teknik disagregasi Mahasiswa mampu menyusun Master Production Schedule (MPS) atau Jadwal Induk Produksi (JIP). Muhammad Adha Ilhami

3 Definisi Work Center Section of a production facility where all task associated with a particular process (such as assembling, painting, welding) are performed. It usually has more than one machine. Sumber: definition/work-center.html#ixzz11xhyQTXShttp://www.businessdictionary.com/ definition/work-center.html#ixzz11xhyQTXS Muhammad Adha Ilhami

4 Ilustrasi Work Center Muhammad Adha Ilhami WELDING CUTTING MACHINE SAFETY EQUIPMENT WELDING CIRLING MACHINE Welding Work Center Main Assembly Table Boxes Support Assembly Table Assembly Work Center

5 Workstation Assigned location for an employee to perform his or her job, and which is equipped with all the required tools and facilities. It usually has one main working component. It is specifically dedicated to one employee only. Workstations are commonly networked together. Muhammad Adha Ilhami

6 Workstation Illustration Muhammad Adha Ilhami Main Machine Outgoing WIP Incoming WIP

7 Takt Time Muhammad Adha Ilhami Takt Time = Total Daily Operating Time / Total Daily Customer Requirements Where Operating Time does not include TPM, 5S, meeting times, breaks, etc… So… Takt time is calculated and not measured. It can help to determine process capabilities Contoh: Customer A requires 5000 pieces per week or 1000 pieces per day. Operating time is 8 hours – breaks = 7,5 hours/shift Tak time = (7,5 hours x 3600 seconds/hours) / (1000 pieces) = 27 seconds/piece

8 Definisi Kapasitas the rate of output from an OM system per unit of time the rate at which the firm withdraws work from the system Jumlah masukan sumberdaya-sumberdaya yang tersedia relatif untuk kebutuhan keluaran pada waktu tertentu. Satuan unit : jumlah/waktu atau waktu/unit Muhammad Adha Ilhami

9 Definisi Kapasitas Produksi In general, production capacity is the maximum production rate of an organization (or maximum conversion rate of a production system) in any given period. Sustainable practical capacity is the greatest level of output that a plant can maintain:  within the framework of a realistic work schedule  taking account of normal downtime  assuming sufficient availability of inputs to operate the machinery and equipment in place Muhammad Adha Ilhami

10 Definisi Macam-Macam Kapasitas (1) Design Capacity : tingkat keluaran per satuan untuk mana pabrik dirancang. Rated Capacity ; tingkat keluaran per satuan waktu yang menunjukkan bahwa fasilitas secara teoritik mempunyai kemampuan memproduksi. Standard capacity : tingkat keluaran per satuan waktu yang ditetapkan sebagai sasaran pengoperasian bagi manajemen, supervisi dan para operator mesin, dapat digunakan sebagai dasar bagi penyusunan anggaran. Muhammad Adha Ilhami

11 Definisi Macam-Macam Kapasitas (2) Actual dan atau operating capacity : tingkat keluaran rata-rata per satuan waktu selama periode waktu yang telah lewat = kapasitas standar ± cadangan-cadangan, penundaan, tingkat sisa nyata. Peak capacity : jumlah keluaran per satuan waktu yang dapat dicapai melalui maksimisasi keluaran dengan kerja lembur, menambah tenaga kerja, mengurangi jam istirahat dan sebagainya. Muhammad Adha Ilhami

12 How a plant/system is organized Level of output of a plant or system is dependent on how it is organized  capacity in sequence: linear operations, is based on the operation with the lowest amount of capacity  capacity in parallel:  multiple alternative operations  any machine can be used Muhammad Adha Ilhami

13 Capacity in Sequence  capacity in sequence: linear operations, is based on the operation with the lowest amount of capacity.  Contoh:  Operasi 1 : 20 unit/jam  Operasi 2 : 10 unit/jam  Operasi 3 : 15 unit/jam  Maka kapasitas sistem adalah 10 unit/jam Muhammad Adha Ilhami

14 Capacity in Sequence (Illustration) Muhammad Adha Ilhami 20/jam 10/jam 15/jam Dalam satu jam hanya akan dihasilkan 10 unit Dalam 1 jam menghasilkan 20 unit Meski ada inputan 20 unit dalam 1 jam. Stasiun ini hanya mampu menghasilkan 10 unit Meski mampu menghasilkan 15 unit dalam 1 jam. Namun karena hanya ada inputan 10 unit maka dalam 1 jam hanya menghasilkan 10 unit

15 Capacity in Parallel  capacity that is based on the sum of the capacities of the various machines that make up the operation.  Contoh:  Operation 3 has 4 machines  machine pieces per minute  machine pieces per minute  machine pieces per minute  machine pieces per minute  Total capacity for operation 3 = 400 pieces/min Muhammad Adha Ilhami

16 Capacity in Parallel (Illustration) Muhammad Adha Ilhami 90/menit 110/menit 120/menit 80/menit 90 unit 110 unit 120 unit 80 unit = 400 unit/menit Dalam satu menit dihasilkan

17 How about this one? Muhammad Adha Ilhami 90/menit 110/meni t 120/meni t 80/menit 100/meni t 80/menit 150/meni t 50/menit 70/menit 60/menit 135/meni t 90/menit Berapa Kapasitas Produksi Sistem ini dalam 1 jam? ?

18 URGENSI DISAGREGASI Muhammad Adha Ilhami Disagregasi diperlukan jika peramalan dilakukan dalam unit aggregate, namun jika peramalan tidak dilakukan dalam unit aggregate maka disagregasi tidak diperlukan. Sementara peramalan dalam unit aggregate dilakukan atas dasar simplifikasi (filosofi dari aggregate plan)

19 Alur Proses Pengolahan Data – Peramalan – Rencana Agregat Muhammad Adha Ilhami ItemFamily Data Data Produk A Data Produk B Data Produk C Peramalan Family Perancangan Agregat Family Disagregasi MPS Agregasi Data Data family A Data family B Data family C Peramalan Family Peramalan Family Peramalan Family Perancangan Agregat Family Perancangan Agregat Family Perancangan Agregat Family Disagregasi MPS Agregasi

20 Perhitungan Persentase (dengan nilai penjualan) Muhammad Adha Ilhami PeriodeJanFebMarAprMeiJun Family X (hasil forecast 2010) Data Penjualan Terdahulu (2009) PeriodeJulAguSeptOktNovDec Demand Records Produk A Produk B Produk C Family X

21 Perhitungan Persentase (dengan nilai penjualan) Muhammad Adha Ilhami Perhitungan Persentase Produk Harga Produk Periode Jul Agu Sept Okt Nov Dec Total Persentase A Demand Records Produk A 10, , , , , , , B Produk B 16, , , , , , , C Produk C 18, , , , , , , Family X 44, , , , , , , Disagregasi Hasil Peramalan PeriodeJanFebMarAprMeiJun Family X Demand Forecast Produk A Produk B Produk C Example : MPS Januari (Produk A) = 200 x 0,27 = 53,41 MPS Januari (Produk B) = 200 x 0,34 = 68,27 MPS Januari (Produk C) = 200 x 0,39 = 78,31

22 Disagregasi Menggunakan Teknik Persentase (dengan pertimbangan nilai conversion) Muhammad Adha Ilhami Data Penjualan Terdahulu PeriodeJulAguSeptOktNovDec Demand Records Produk A Produk B Produk C Family X Perhitungan Persentase Produk Waktu Proses Conversi on Periode Jul Agu Sept Okt Nov Dec Total % A Demand Records Produk A B Produk B C Produk C Family X ,275.49

23 Disagregasi Menggunakan Teknik Persentase (dengan pertimbangan nilai conversion) Muhammad Adha Ilhami Disagregasi (Persentase dari nilai penjualan) PeriodeJanFebMarAprMeiJun Family X Demand Forecast Produk A Produk B Produk C Example : MPS Januari (Produk A) = 200 x 0,32 = 63,86 MPS Januari (Produk B) = 200 x 0,17 = 34,22 MPS Januari (Produk C) = 200 x 0,51 = 101,92

24 Hasil Disagregasi (MPS/JIP) Muhammad Adha Ilhami Master Production Schedule / Jadwal Induk Produksi PeriodeJanFebMarAprMeiJun Demand Forecast Produk A Produk B Produk C


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