Balancing the Production Line by the Simulation and Statistics Techniques: A Case Study

Hafezalkotob, Ashkan; Ketabian, Hamid; Rahimi, H.

doi:10.19026/rjaset.7.313

Cited by 8 publications

(5 citation statements)

References 31 publications

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“…Results of this study clarify previous studies which states that assembly line using simulation is able to overcome the problem of stacking at certain work stations that cause of bootleneck [13]. Simulation is able to analyze the performance of the alternatives produced by using the computer without having to wait for application on the real system [7,9].…”

Section: Si = 190725supporting

confidence: 80%

“…Simulations using a computer to evaluate a model numerically over a certain period and data are collected to estimate the real desired characteristics of a model [9] Many research about assembly line balancing using simulation has been conducted in many different industrial areas. [10] Line balancing performed a simulation to evaluate the impact ofreduction of the cycle time on the throughput and machine utilization studied in an automated cylinder block production transfer line.…”

Section: Introductionmentioning

confidence: 99%

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Assembly line balancing in an electronics company using simulation approach

et al. 2018

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One of the efforts company did continuously to compete was to reduce waste or anything that is not adding value to products such as waiting activity that cause unbalance of workload between workstations on a production path. This condition resulted in idle work station, accumulation of intermediate goods, and low work station utility. Companies finds an unbalance workload. This work station are apparently have to wait in a given time after workstations does behind it finished. For that reason, this study aims to balance the workload between workstations and increase the company production capacity. This research uses simulation approach by modelling the initial production with software promodel and evaluate performance the the initial production with an indicator current content, output, and average time in operation. The performance of the initial production line model was the smoothness index of 2007.5, the current content of 10 units, the output of 34 units, and the average time in operation of 35.19 minutes. The alternative model of the selected production trajectory is due to excel in four track performance factors is lowest current content (1 unit), highest output (48 units), lowest smoothness index (461,8) and highest production capacity (9,12 unit/hour).

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Section: Si = 190725supporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Assembly line balancing in an electronics company using simulation approach

et al. 2018

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“…Wirabhuana (2008) meminimasi ketidakseimbangan beban kerja lini perakitan truk dengan membandingkan efisiensi lini perakitan awal dengan empat lini perakitan usulan. Hafezalkotob (2014) menunjukkan permasalahan ketidakseimbangan lini produksi pipa dengan cara mengidentifikasi bottlenecks kemudian dengan simulasi dapat memberikan pemahaman untuk melakukan perbaikan seperti perubahan lokasi dan secara tepat merekomendasikan peningkatan kinerja di suatu stasiun kerja.…”

Section: Pendahuluanunclassified

Usulan Peningkatan Kapasitas dengan Meningkatkan Kinerja Lini Produksi Melalui Model Simulasi (Studi Kasus di PT X, Bekasi)

Hapsari¹

2018

JIS

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PT X adalah perusahaan manufaktur yang bergerak di bidang otomotif kendaraan komersial. Perusahaan ini memproduksi truck dengan model N-Series dan F-Series. Cabin pada model F-Series lebih besar dibandingkan N-Series. Permasalahan yang terjadi adalah kapasitas produksi departemen paint shop tidak mencapai target.Departemen paint shop hanya mencapai output sebesar 40 unit N-Series per shift dan 9 unit F-Series per shift, padahaloutput yang diinginkan perusahaan sebesar 43 unit N-Series per shift dan 11 unit F-Series per shift. Departemen paint shop memiliki 34 proses produksi untuk masing-masing model cabin. Satu stasiun kerja dengan stasiun kerja lainnya saling berkaitan untuk mencapai output perusahaan. Metode penyelesaian masalah menggunakan simulasi komputer, karena ketergantungan antar variabel sistem yang sangat kompleks. Pembuatan model simulasi awal dengan pemeriksaan program komputer sesuai dengan spesifikasi yang diinginkan. Model simulasi dijalankan untuk dievaluasi dan dianalisis hingga hasil simulasi awal mencapai 40 unit N-Series per shift dan 9 unit F-Series per shift. Kemudian akan dilakukan eksperimen pada model usulan dengan penentuan alternatif tindakan berdasarkan variabel keputusan pada influence diagram, seperti perubahan waktu proses, perubahan jumlah operator, perubahan daya tampung, jumlah mesin yang akan digunakan, hingga penugasan operator. Hasil simulasi usulan mencapai 43 unit N-Series per shift dan 11 unit F-Series per shift. Hal tersebut telah sesuai dengan target yang perusahaan inginkan.Â Kata Kunci: Simulasi, Influence Diagram, Kapasitas Produksi.

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“…Realize an assembly line able of producing the desired product is the main aim of every company [18]. The assembly line design in turn includes three problems, the layout configuration definition, the selection of the right equipment and the balancing of the assembly line [19].…”

Section: Frameworkmentioning

confidence: 99%

Layout and Material Flow Optimization in Digital Factory

Centobelli¹,

Cerchione²,

Murino³

2016

Int. j. simul. model.

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The ability to realize customized products, in particular for engineering-to-order companies, is a key factor in order to be competitive in modern market without incurring any additional cost and respecting customer lead time. In this ever-changing environment the layout optimization is a fundamental issue requirement, hence the development of a virtual layout, according to the Digital Factory concepts, can be very useful to identify and to solve potential problems during the planning phase, before realize it. The main aim of this paper is represented by the proposal of a layout reconfiguration and a technological solution for the parts feeding system of the industrial plant analysed in order to reduce the production lead times.In the first phase, an overview of the Digital Factory applications is provided. In the second phase, after data analysis in an Italian manufacturing company, a simulation model has been designed and tested using Simio simulation software. Simulations results concerning production and queue times obtained from different orders have been compared with actual configuration data.Research results indicate that the surveyed company has had an improvement in terms of reduction of waiting times and increase of customers satisfaction due to total production lead time reduction.

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Balancing the Production Line by the Simulation and Statistics Techniques: A Case Study

Cited by 8 publications

References 31 publications

Assembly line balancing in an electronics company using simulation approach

Assembly line balancing in an electronics company using simulation approach

Usulan Peningkatan Kapasitas dengan Meningkatkan Kinerja Lini Produksi Melalui Model Simulasi (Studi Kasus di PT X, Bekasi)

Layout and Material Flow Optimization in Digital Factory

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