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"Penelitian ini mengenai pemodelan untuk penjadwalan proses produksi pada industri pembuatan silicon polished wafer 5 - dan 6 - . Proses produksi untuk kedua produk ini memiliki tipikal flexible flow shop dengan variasi type barang mencapai 12 jenis. Setiap type barang harus melalui empat tahapan proses yang harus dilakukan secara berurut. Adanya limitasi fleksibilitas proses pada tiga buah tahapan menyebabkan masalah penjadwalan menjadi kompleks Pendekatan yang dilakukan untuk memecahkan masalah penjadwalan ini adalah dengan menerapkan dua metode dispatching rule, yaitu SPT (shortest processing time) dan EFT (earliest finish time). Metode lain yang digunakan adalah pengelompokan unit pesanan ke dalam sebuah family untuk meminimalkan kendala limitasi fleksibilitas proses pada dua buah tahapan. Kombinasi ketiga metode ini dituangkan ke dalam suatu algoritma multiproduct-multistage dan diaplikasikan pada inisialisasi solusi. Dari inisialisasi solusi ini dihasilkan penjadwalan awal untuk masing-masing tahapan. Optimasi dilakukan terhadap inisisalisasi solusi dengan menggunakan Algoritma Genetika. Algoritma Genetika akan mencari solusi terbaik yang mendekati optimal melalui serangkaian proses seleksi terhadap sekumpulan alternatif solusi yang ada. ......The study concerns in modeling the production schedule of 5' and 6' Silicon Polished Wafer manufacturing. The process of both products is categorized as flexible flow shop with 12 different types of product. Each product is processed through four stages with fixed sequence. There are some limitation of process flexibility among three of four stages that also causes the scheduling become difficult to arrange. Some dispatching rule is applied to solve the schedule problem. SPT (shortest processing time) and EFT (earliest finish time) is the two of dispatching rule which used for this kinds of problem. The other method that also carried out with those two dispatching rule is job families approaching. Job families approaching will minimize the effect of limited process flexibility. Those combined methods will be developed to be an algorithm called multiproduct-multistage algorithm and applied to the initial solution. The initial solution consists of the schedule of each stage. Initial solution is optimized by using Genetic Algorithm. Genetic Algorithm is search process of the best solutions among possible solutions by simulating the natural evolutionary process."

"Penggunaan dispatching rule dalam menentukan urutan pengerjaan produk dalam flexible manufacturing system dapat memberikan solusi yang kurang baik apabila dispatching rule yang digunakan tidak sesuai. Pada tesis ini akan diperlihatkan perbandingan penggunaan beberapa dispatching rule baku dalam menentukan jadwal produksi, seperti First Come First Served (FCFS), Shortest Processing Time (SPT), Longest Processing Time (LPT), dan Earliest Due Date (EDD) serta sebuah usulan yang mempertimbangkan waktu terbuang untuk menunggu urutan pengerjaan produk pada mesin yang sama dalam waktu yang bersamaan dengan menggunakan alat bantu simulasi model. Pada tesis ini juga akan diciptakan model FMS dalam perangkat lunak, untuk kemudian disimulasikan menurut dispatching rules masing-masing, sehingga waktu penyelesaian masing-masing produk dan tardiness yang tercatat dalam hasil simulasi dapat dianalisa dan kemudian dibandingkan agar dapat dipilih untuk mendapatkan dispatching rules yang sesuai dan dapat memberikan kinerja yang paling baik. Perencanaan dispatching rule yang sesuai diharapkan dapat mempersingkat waktu penyelesaian tanpa melanggar tenggat waktu. Hasil yang didapatkan dalam penelitian ini menunjukkan bahwa dispatching rules yang sesuai merupakan kombinasi dispatching rule EDD dengan tetap mempertimbangkan waktu waktu terbuang untuk menunggu urutan pengerjaan produk pada mesin yang sama dalam waktu yang bersamaan melalui tenggat waktu minimum yang dimiliki masing-masing kombinasi urutan pengerjaan produk. ......Dispatching rules, which commonly used in determining job execution sequences, should be well planned in order to avoid bad solution caused by the usage of improper dispatching rules. In this thesis, the comparison of several dispatching rules is made to establish a compact production schedule on an FMS using a model simulation, such as First Come First Served (FCFS), Shortest Processing Time (SPT), Longest Processing Time (LPT), Earliest Due Date (EDD) and a proposal to consider the wasted time caused in waiting execution on a same machine at a same time. In this thesis, a model of FMS environment will be built on a software, and sequences which were produced on each dispatching rules, will be simulated based on the model created, for later the recorded value of completion time and tardiness of each product could be analyzed and compared further to gain a proper dispatching rule in giving the best performance. The proper dispatching rules planning will improve the completion time performance without violating the due dates. The result from the case on this thesis will show that the proper dispatching rule is a combination between EDD and the proposal of considering the wasted waiting time with the concern of minimum due dates attribute owned by each product execution."

"Penelitian ini mengenai pemodelan untuk penjadualan produksi mini boom dan mini arm di PT. Hitachi Construction Machinery Indonesia. Proses produksi untuk kedua produk ini memiliki tipikal flexible flow shop dengan variasi type barang mencapai 12 jenis. Setiap type barang harus melalui tiga tahapan proses yang harus dilakukan secara berurut. Adanya limitasi fleksibilitas proses pada dua buah tahapan menyebabkan masalah penjadualan menjadi kompleks. Pendekatan yang dilakukan untuk memecahkan masalah penjadualan ini adalah dengan menerapkan dua metode dispatching rule, yaitu SPT (shortest processing time) dan EFT (earliest finish time). Metode lain yang digunakan adalah pengelompokan unit pesanan ke dalam sebuah family untuk meminimalkan kendala limitasi fleksibilitas proses pada dua buah tahapan. Kombinasi ketiga metode ini dituangkan ke dalam suatu algoritma multiproduct-multistage dan diaplikasikan pada inisialisasi solusi. Dari inisialisasi solusi ini dihasilkan penjadualan awal untuk masing-masing tahapan. Optimasi dilakukan terhadap inisisalisasi solusi dengan menggunakan Genetic Algorithm. Genetic Algorithm akan mencari solusi terbaik yang mendekati optimal melalui serangkaian proses seleksi terhadap sekumpulan alternatif solusi yang ada.

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The study concerns in modeling the production schedule of mini boom and mini arm in PT. Hitachi Construction Machinery Indonesia. The process of both products is categorized as flexible flow shop with 12 different types of product. Each product is processed through three stages with fixed sequence. There is a limitation of process flexibility among two of three stages that also causes the scheduling become difficult to arrange. Some dispatching rule is applied to solve the schedule problem. SPT (shortest processing time) and EFT (earliest finish time) is the two of dispatching rule which used for this kinds of problem. The other method that also carried out with those two dispatching rule is job families approaching. Job families approaching will minimize the effect of limited process flexibility. Those combined methods will be developed to be an algorithm called multiproduct-multistage algorithm and applied to the initial solution. The initial solution consists of the schedule of each stage. Initial solution is optimized by using Genetic Algorithm. Genetic Algorithm is search process of the best solutions among possible solutions by simulating the natural evolutionary process."

"Nowadays, the ready-mixed concrete (RMC) industry plays an important role in construction projects, since it has become one of the mechanisms in construction works and it has become more widely used than in the past. Increasing efficiency is focused on in order to be competitive in business. Therefore, this study aims to increase efficiency of the delivery management system by using the modeling of production planning and management of daily scheduling and dispatching of ready-mixed concrete trucks in order to solve the bottleneck problems of production, which are consequently affecting the RMC delivery process .In fact, the capacity of ready-mixed concrete machines seems to be a limitation, since concrete can only be mixed and then delivered in batches, one vehicle at a time. Earliest Due Date (EDD) and First-Come, First-Served (FCFS) are two techniques of priority rules used for RMC scheduling in providing more precision and accuracy of related inputs which can be used in order improve efficiency of the entire RMC process. In the model, factors affecting the RMC delivery process, such as distances, travel speed and travel times are determined by using GIS–Geographic Information Systems software (ArcGIS). The mapping data is also input into the construction site data, which then builds a model based on priority rules to determine the production and dispatching schedule. Preliminary results from the model indicated that delivery delays can be reduced, in addition to improving daily scheduling and reducing planning time. Moreover, the Single Machine-Multiple Sites model was applied to a concrete truck freight management company that had only one manufacturing machine and it had to deliver to several construction sites in various urban areas. By improving efficiency, by optimizing delivery times and by reducing the cost of waiting time at various sites, this PDRMC model could cut operating costs and increase the company’s revenue because there will be time for more orders."