Garuda - Garba Rujukan Digital

PENDEKATAN ALGORITMA CROSS ENTROPY-GENETIC ALGORITHM UNTUK MENURUNKAN MAKESPAN PADA PENJADWALAN FLOW SHOP Dian Setiya Widodo; Purnomo Budi Santoso; Eko Siswanto
Journal of Engineering and Management in Industrial System Vol 2, No 1 (2014)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

In the flow shop scheduling each job will go through every machine in the same order. The goal of this research is to complete a series of jobs in order to obtain the optimal makespan for stick skewers rounding machine. It is become necessities because the company has no planning and scheduling, while the demand exceeds the capacity Thus, optimize the scheduling is needed to be done. One way to optimize the scheduling is to minimize makespan. Based on the results of the research Cross Entropy Algorithm-Genetic Algorithm (CEGA) can provide the optimal solution. This is evident by a comparison technique that enumeration techniques obtained similar results with makespan 1982 seconds, but when compared to the company, CEGA method is better with makespan efficiency of 12.18%. The use of CEGA with the MATLAB has more advantages that simplify and speed in performing the calculations to can optimal solution.

ANALISIS PENERAPAN TOTAL QUALITY MANAGEMENT (TQM) INDUSTRI PERTAHANAN NASIONAL (Studi kasus pada Industri Senjata) Yusuf Novrianto; Rudy Soenoko; Purnomo Budi Santoso
Journal of Engineering and Management in Industrial System Vol 2, No 1 (2014)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Military weapons industries supporting industries most likely to be developed into a leading center of technology in accordance with the type of industry. With that goal achieved through Total Quality Management is an approach oriented to continuous quality improvement. Based on this analysis needs to be done related to the components of total quality management what are the qualities that support the quality of production and how its application in the arms industry and how to identify one component of total quality management that affect the quality improvement of quality related to changes in the occurrence of downtime in production with the method klongsong MVSM. On the basis of the proposed theoretical model, the analysis of corporate performance, descriptive analysis and analysis of TQM. TQM implementation is based on customer focus, obsession with quality, scientific approach, long-term commitment, teamwork, continuous improvement systems, education and training, unity of purpose, as well as the involvement and empowerment of employees

PENINGKATAN EFEKTIVITAS PERAWATAN MESIN PERONTOK BULU UNGGAS DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS DAN FAILURE MODE EFFECT ANALYSIS (Studi Kasus di Perusahaan Pengolahan Ayam Kampung Pasuruan) Khafizh Rosyidi; Purnomo Budi Santoso; Mega Nur Sasongko
Journal of Engineering and Management in Industrial System Vol 3, No 2 (2015)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Abstract Perusahaan Pengolahan Ayam Kampung is a company engaged in the processing of chicken that must not be separated from issues related to the effectiveness of the machine. This can be seen with the frequency of damage to the engine due to the damage resulted in a lot of product defects. Therefore we need effective measures in the maintenance of machinery and equipment to tackle and prevent such problems. Total Productive Maintenance (TPM) is a principle of management to improve productivity and efficiency of the production company to use the machine effectively. Not exactly the handling and maintenance of the machine will result in losses that are called by the Big Six Losess. The first step in efforts to increase efficiency in the production of this company is by measuring the effectiveness of the threshing machine feathers using Effectifitas Overall Equipment (OEE) followed by OEE measurement to determine the value of its effectiveness. Next, analysis of causal diagram is to be able to know the real problems that the main cause of losses caused by engine failure. Then, the analysis Failure Mode Effect Analysis (FMEA) was conducted to determine the priority improvements in the next period. The conclusion that can be drawn on the threshing machine feathers that the average value of the OEE for the period September 2013 - August 2014 was 65.14%. This indicates that the ability of thresers feathers in achieving their goals and in achieving effective use of machinery / equipment not yet reached the ideal conditions (≥85%). As for affecting the value of OEE based causal analysis is the lack of maintenance of the machine. Meanwhile, based on the analysis of FMEA can be known priority repairs that need to be done, namely: 1) Perform routine engine maintenance (512), 2) Making standards work (392), and Making Rubber threaded component maintenance schedule (320).

CASE-BASED REASONING UNTUK MENJAGA MUTU PELAYANAN PURNA JUAL OTOMOTIVE Mochammad Choiri; Purnomo Budi Santoso
Journal of Engineering and Management in Industrial System Vol 3, No 1 (2015)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Abstract Customer satisfaction was the main business factor. After sales service was one of the most important to ensure customer satisfaction. The main criteria for customer satisfaction we know as speed, fit for use, and fair. Human always use analogical method for make some decisions, such as use historical experience for fit the similar problem. If the old case in after sales service could be saved dan organized efectivelly and sistematix, so we can use it to solve the new problem that have similar type. Method that use old case as a reference to solve new proble in Artificial Intelligent (AI) we always call Case Based Reasoning (CBR). This paper use CBR System for car sales after service problem. We also use Esteem software for improvement tools.After use this tools we get some resume that process in sevice become effective and efficient.

UPAYA PENINGKATAN PELAYANAN TERHADAP KEPUASAN MAHASISWA BERDASARKAN HASIL ANALISIS METODE SERVQUAL DAN REGRESI LINIER BERGANDA (Studi Kasus Jurusan Teknik Mesin Universitas di Malang) Sujatmiko Sujatmiko; Purnomo Budi Santoso; Rudy Soenoko; Murti Astuti
Journal of Engineering and Management in Industrial System Vol 1, No 1 (2013)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Recorded approximately 27 universities in this city is increasingly fierce competitive situation from time to time, causing many colleges difficult to increase the number of students [1]. Department of Mechanical Engineering at the University contained in Malang has not identified the quality of service and support strategy for the satisfaction level of students so as to improve the quality of students. In this research use corporation of SERVQUAL method and multiple linear regression to analyze the results of the questionnaire. This processing produces Gap values and linear regression analysis, it can be calculated the value of Servqual that known and will be prioritized for enhanced service quality. Conclusions and recommendations in order to get improved quality of improvement efforts of the priority criteria for enhanced quality service. Based on data processing using multiple linear regression analysis only tangible dimension that significantly to improve overall satisfaction. To prioritize the improvement of his physical condition improved following completion of facilities and infrastructure improvements in the information media (internet), completeness of facilities and infrastructure improvements in the lecture, the addition means supporting information, improved seating and desks Conditions comfortable class, classroom hygiene, completeness of facilities improvement and infrastructure in the library, improvement classroom air circulation, comfortable classroom temperature, comfortable classrooms lighting.

USULAN PENERAPAN LEAN SIX SIGMA, FMEA DAN FUZZY UNTUK MENINGKATKAN KUALITAS PRODUK BOTOL SABUN CAIR Mario Sarisky Dwi Ellianto; Purnomo Budi Santoso; Achmad As'ad Sonief
Journal of Engineering and Management in Industrial System Vol 3, No 1 (2015)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Abstract The goal of lean six sigma method is to solve the problems of waste, especially defect. The goal of failure mode and effect analysis (FMEA) method is to be able to identify potential failures in the production process of e.g. liquid soap bottle in order to reduce production failure and to have reference from FMEA highest risk priority number for corrective actions. The goal of fuzzy method is to improve priority risks of FMEA method. By using fuzzy method the priority risks with the same value can be eliminated so that only one highest value can be used as a reference for corrective action. Result of lean six sigma method are four types of critical defects i .e. dirty black, lines in the wall of the bottle, neck narrowed / clogged, and uneven surfaces. One result of the FMEA calculation with the highest risk priority number (RPN) is dirty black defect.This is due to less attention to the composition of the material and contamination / burnt crust. The highest score of RPN is 48 and ranked as the first priority for actions. While result of fuzzy calculations is the highest fuzzy risk priority number (FRPN) with value of 3.327831. This is caused by dirty black defect due to less attention to the composition of the material. Therefore from these results of the highest causes of defects can be used as a reference for corrective action.

USULAN PENERAPAN METODE SIX SIGMA UNTUK MENINGKATKAN KUALITAS KLONGSONG (STUDI KASUS INDUSTRI SENJATA) Gunawan Pakki; Rudy Soenoko; Purnomo Budi Santoso
Journal of Engineering and Management in Industrial System Vol 2, No 1 (2014)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Weapons Industy has the greatest asset in the production of klongsong with various varians meet the basic needs of military and public supplies, klongsong types 6 mm. Improving in quality does is not mean to increase the amount of labor or replace the old machine with a new one but rather to maximize the performance of the production system elements. This research is proposed to reduce the reject rate klongsong 6 mm process and to to determine the factors that influence the defective product. Six Sigma concept is used to discover and to reduce the factors that cause disability and error so as to improve the quality to wards zero failure rate. Six Sigma framework is known as Define, Measure, Analyse, Improve, and Control (DMAIC). In Define phase of DMAIC is to define CTQ (Critical-To-Quality) through interviews with company management. In the Measure phase of DMAIC level of product quality (products klongsong 6 mm casing) is measured. In Analysis phase of DMAIC the causes of defects is analyzed through Ishikawa diagram. In Improve phase of DMAIC the preparation of the proposed improvements is based on is based on prioritization using FMEA. The results of the analysis of the application of Six Sigma in production klongsong in average was 4.69 with DPMO 695.429.

PENGUKURAN DAN PERBAIKAN TOTAL PRODUCTIVE MAINTENANCE (TPM) MENGGUNAKAN OVERALL EQUIPMENT EFFECTIVENESS (OEE) DAN ROOT CAUSE FAILURE ANALYSIS (RCFA) Amrussalam Amrussalam; Purnomo Budi Santoso; Ishardita Pambudi Tama
Journal of Engineering and Management in Industrial System Vol 4, No 2 (2016)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Total productive Maintenance (TPM) is an initiative to optimize the effectiveness of manufacturing equipment which the objectives are elimination of all accidents, defects and downtimes [5]. The fundamental measurement of TPM using a method called the Overall Equipment Effectiveness (OEE). The study was began by root cause identification of losses using Root Cause Failure anaysis (RCFA), OEE was calculated based on the metrics calculation which consist of availability metrics, performance metrics, and quality metrics, while reliability was calculated based on the value of MTBF.It is followed by recommendation of TPM for improvement of losses . The results of this study indicate that the value of OEE is not achieve of world-class standards, where OEE is only 35,38%. The factor witch greatly affects of poor OEE and reliability is downtime loss in the machine, which is 2394,8 sec / process / day or 88,07% of all total losses. The proposed improvements of losses are application of Autonomous Maintenance and 5S concept, making of the preciseprocess operating standard based on the machine conditions, need for planned maintenance, focused improvement, quality maintenance and most important, supervision of the machine operator.

Title

Found 8 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 8 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 8 Documents
Search