scholarly journals ANALISIS PENJADWALAN PRODUKSI MENGGUNAKAN METODE CAMPBELL DUDEK SMITH DAN DANNENBRING DALAM MEMINIMUMKAN TOTAL WAKTU PRODUKSI BERAS

2021 ◽  
Vol 10 (4) ◽  
pp. 215
Author(s):  
NI KADEK DESI PUJA ANTARI ◽  
LUH PUTU IDA HARINI ◽  
NI KETUT TARI TASTRAWATI
Keyword(s):  
Production Process ◽  
Production Scheduling ◽  
Completion Time ◽  
Total Completion Time ◽  
Efficient Production ◽  
Smith Method ◽  
Manufacturing Company ◽  
Calculation Results ◽  
A Company

The increasing needs for basic materials has resulted in an increased production process of basic materials in a company. CV. Puspa is a manufacturing company engaged in the production of rice, on the production process, CV. Puspa often has a buildup of work so that it requires an alternative production scheduling optimally. This research was conducted to minimize the total time of completion using the Campbell Dudek Smith and Dannenbring method in determining efficient production scheduling. Based on the scheduling sequence obtained, the calculation results of the total completion time using the Campbell Dudek Smith method are less than or equal to the results of calculation using the Dannenbring method. So the Campbell Dudek Smith method is more efficient than the Dannenbring method to be applied to CV. Puspa.

scholarly journals PENJADWALAN MESIN DENGAN MENGGUNAKAN ALGORITMA JADWAL NON-DELAY DI PT. SNN SEKSI WORKSHOP

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Inna Kholidasari ◽  
Keyword(s):  
Production Process ◽  
Production Scheduling ◽  
Completion Time ◽  
Job Shop ◽  
Machine Scheduling ◽  
Spare Parts ◽  
First In First Out ◽  
A Company

Production scheduling is the most important part in carrying out the production process that will be carried out on a production floor. Scheduling activities are carried out before the production process begins to ensure the smooth running of the production process. If the production scheduling is not done properly, there will be obstacles in the production process and will cause losses to the company. This study aims to determine the production machine scheduling in a company engaged in the manufacture of spare parts for automotive products. This company implements a job shop production process and uses the First In First Out method in completing its work. Due to the large number of products that have to be produced, there are often two or more products that must be worked on at the same time and machine. This condition causes some products to have to wait for the associated machine to finish operating and causes long product turnaround times. This problem is solved by making a production machine scheduling using the Non-Delay method. By applying this method, the makespan of completion time can be minimized.

Usulan Penjadwalan Produksi dengan Algoritma Ant Colony (Studi Kasus PT. KLM Medan)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Dila Syafrina Bangko ◽  
Rosnani Ginting
Keyword(s):  
Production Process ◽  
Production Scheduling ◽  
Completion Time ◽  
Processing Time ◽  
Ant Colony Algorithm ◽  
Optimal Combination ◽  
Ant Colony ◽  
A Value ◽  
Scheduling Method

Algoritma Ant Colony adalah suatu metauristik yang menggunakan teknik semut dengan kombinasi permasalahan secara optimal atau secara komunikasi semunt yang menggunakan alat penciuman untuk memecahkan masalah. Metode penjadwalan produksi yang selama ini digunakan berdasarkan kesamaan proses produksi. Hal inilah yang terkadang menyebabkan waktu penyelesaian produksi menjadi lebih panjang. Maka dilakukan metode lain untuk menggurangi makespan yaitu dengan menggunakan metode penjadwalan algoritma ant colony. Pada metode Shortest Processing Time (SPT) menghasilkan makespan sebesar 236079.89, sedangkan pada algoritma ant colony menghasilkan nilai α=10, β = 1, ρ = 0.5, Ncmax = 50, jumlah semut 7 dan makespan=215243.22. berdasarkan hasil yang diperoleh maka algoritma ant colony memiliki makespan terkecil yaitu 215243.22 detik.   The Ant Colony algorithm is a metauristic that uses ant techniques with optimal combination of problems or semuntic communication using olfactory tools to solve problems. The production scheduling method that has been used is based on the similarity of the production process. This is what sometimes causes the production completion time to be longer. Then another method is used to reduce makespan by using the ant colony algorithm scheduling method. In the Shortest Processing Time (SPT) method produces makespan of 236079.89, while the ant colony algorithm produces a value of α = 10, β = 1, ρ = 0.5, Ncmax = 50, the number of ants 7 and makespan = 215243.22. Based on the results obtained, the ant colony algorithm has the smallest makespan, 215243.22 seconds.

Penjadwalan Produksi Menggunakan Metode Simulated Annealing pada Unit Produksi Daun Pintu di PT. ML

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosnani Ginting ◽  
Chairul Rahmadsyah Manik
Keyword(s):  
Simulated Annealing ◽  
Problem Solving ◽  
Production Scheduling ◽  
Production Control ◽  
Delivery Time ◽  
Production Schedule ◽  
A Company ◽  
Predetermined Time ◽  
Factory Floor

Penjadwalan merupakan aspek yang sangat penting karena didalamnya terdapat elemen perencanaan dan pengendalian produksi bagi suatu perusahaan yang dapat mengirim barang sesuai dengan waktu yang telah ditentukan, untuk memperoleh waktu total penyelesaian yang minimum. Masalah utama yang dihadapi oleh PT. ML adalah keterlambatan penyelesaian order yang mempengaruhi delivery time ke tangan costumer karena pelaksanaan penjadwalan produksi dilantai pabrik belum menghasilkan makespan yang sesuai dengan order yang ada. Oleh kaena itu dituntut untuk mencari solusi pemecahan masalah optimal dalam penentuan jadwal produksi untuk meminimisasi total waktu penyelessaian (makespan) semua order. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) diharapkan dapat menghasilkan waktu total penyelesaian lebih cepat dari penjadwalan yang ada pada perusahaan.   Scheduling is a very important aspect because in it there are elements of planning and production control for a company that can send goods in accordance with a predetermined time, to obtain a minimum total time of completion. The main problem faced by PT. ML is the delay in completing orders that affect delivery time to customer because the implementation of production scheduling on the factory floor has not produced the makespan that matches the existing order. Therefore, it is required to find optimal problem solving solutions in determining the production schedule to minimize the total time of elimination (makespan) of all orders. In this study, scheduling using the Simulated Annealing (SA) method is expected to produce a total time of completion faster than the existing scheduling in the company.

ANALISIS KINERJA PABRIK TEH HITAM “PAHIT MADU”

2013 ◽  
Vol 13 (3) ◽  
Author(s):  
Djawardi Djawardi ◽  
Yustiar Gunawan
Keyword(s):  
Heat Exchanger ◽  
Production Process ◽  
Black Tea ◽  
Production Equipment ◽  
Standard Means ◽  
Fluid Bed ◽  
Calculation Results ◽  
Low Performance ◽  
Equipment Utilization

The business unit's black tea processing of Perkebunan Nusantara suffered a loss of approximately Rp.60 billion. This is caused by the failure to achieve the quality and quantity of production which has been targeted by the management. Black tea processing factory "Pahit Madu" is required to improve the performance of the production process. To improve the production of black tea starts from improved production equipment through improved equipment utilization. One method ofmeasuring the effectiveness of using an apparatus is Overall EquipmentEffectiveness (OEE). OEE calculation results show that black tea factory "Pahit Madu" for four (4) years under the standard. Means, the effectiveness of utilization of equipment in the factory black tea "Pahit Madu" was still very low. This was shown by the low performance equipment in the milling unit, drying unit and sortation unit. Toimprove the performance of the plant should begin by increasing the Cutting Tearing Curling (CTC) machine in milling stations, machines Fluid Bed Dryer (FBD) and Heat Exchanger (HE) at the drying stations, and Winnower machines at the sortation stations.

Research on Workshop Management System of Body-in-White Pressing Production

2012 ◽  
Vol 468-471 ◽  
pp. 2661-2667
Author(s):  
Ya Zhou Chen ◽  
Lin Wang
Keyword(s):  
Production Scheduling ◽  
Management System ◽  
Production Management ◽  
Task Assignment ◽  
Production Management System ◽  
Dispatching Algorithm ◽  
Body In White ◽  
Dynamic Dispatching ◽  
A Company ◽  
Detailed Function

Based on the analyzing of the characteristics of a Body-In-White pressing production process a pressing workshop production management system has been given in order to make the ERP production scheduling more executable. The detailed function model of it such as task assignment, quality control, mold maintenance and production scheduling has been thoroughly discussed. In order to make the production line capability balance the task dispatching algorithm has been given and the dynamic dispatching and controlling process has been explained. This system can be integrated with the upper ERP/CAPP/PDM system which can improve the information level of a company.

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