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Journal of Engineering and Management in Industrial System
Published by Universitas Brawijaya
ISSN : 23383925     EISSN : 24776025     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience industry and their applications, etc.
Arjuna Subject : -
Articles 364 Documents
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ANALYSIS ON THE PURCHASING DATA TO RE-DESIGN THE PROCEDURE OF TURNAROUND MAINTENANCE Cahyo, Winda Nur; Zaman, Buchairi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2020.008.02.2

Abstract

Turnaround (TA) is a large-scale maintenance activity (extraordinary maintenance activities), which is carried out periodically (repeated large-scale maintenance), where the work referred to can only be carried out when the unit is stopped operating. The main scope of work is inspection (inspection), repair, cleaning equipment. The success or failure of turnaround activities is very influential from careful preparation, some of the failures of turnaround activities result from unplanned preparations. One factor is the readiness of the material. This paper discusses the direct involvement of the material procurement process in determining better TA preparation time. The historical data from the purchasing is analyses and then the result is combined with the new proposed procedure of the TA maintenance. The new procedure has three months less than the current procedure.
DATA ANALYTICS SUPPORTING LEAN MANUFACTURING TOWARDS INDUSTRY 4.0 THROUGH SIMULATION: A REVIEW Abdul Rahman, Soufhwee; Mohamad, Effendi Bin; Abdul Rahman, Azrul; Hamdala, Ihwan; Larasati, Aisyah; pawenang, supawi; Ito, Teruaki
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 1 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

The Lean Manufacturing (LM) system has been increasingly used in many industrial applications, worldwide, in the last 3 decades. The LM system is based on sound philosophy and includes several tools and principles, which permit its usage in eliminating wastes and decreasing the production costs. Though the conventional LM is helpful, the new paradigm, i.e., Industry 4.0, has started challenging the system. The traditional LM system cannot analyse the complex issues present in the existing competitive market on its own. This is because the Industry 4.0 is based on data which is more diverse, complex and fast. In this review, the researchers have attempted to identify the solution for the current scenario. Literature survey showed that simulation was a relevant tool that could be used for addressing the complexity-based issues related to the new concept. Though the combination of the simulation and LM system helped in understanding the problems, there still existed a gap in the LM system with regards to the merging of the 2 technologies of Industry 4.0. 
EFFECT OF REPETITIVE WELDING USING ORBITAL GMAW ON TENSILE PROPERTIES OF AISI 304 AUSTENITIC STAINLESS STEEL PIPES Hussein, Nur Izan Syahriah binti
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 1 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

Repair welding is often carried out in steel structural components. The main intention of repair welding is by providing a cure for existing welding defects during initial stages or weld deterioration during their services that can increase the service lives or performance of components. Repair welding is a better choice as compared to replacing the parts because it is a more economical, faster and reliable method to make a part come back to its services when failure of the parts is identified. In this study, the effect of welding parameters on tensile properties of AISI 304 austenitic stainless steel pipes was investigated. The best set of parameters was suggested by using Taguchi method as the design of experiment and analysis. Results showed that the optimum set of parameters for achieving highest ultimate tensile strength (UTS) values was when arc current, arc voltage and welding at 160 A, 22 V and 50 mm/min, respectively. On the other hand, the optimum set of parameters for achieving highest elongation percentage was when arc current, arc voltage and welding speed at 160 A, 22 V and 40 mm/min. Based on the optimum set of parameters, the repetitive welding to replicate a repairing process was performed. It was evidenced that the UTS showed an increasing trend up to the second repair (RW2) before decreased after the third repair (RW3). The highest value of UTS obtained at second repair (RW2) was 525.51 MPa. The repair welding has caused dynamic changed in the microstructure of the weldment. Therefore, the number of optimum repetitions for the AISI 304 austenitic stainless steel pipes was proposed up to second repair.
THE EFFECTS OF r-HDPE/r-PP FORMULATION RATIO INTO MECHANICAL, THERMAL AND MORPHOLOGICAL BEHAVIOR OF r-HDPE/r-PP POLYMERIC BLENDS Razak, Jeefferie Abd; Wahid, Siti Zaleha; Mohamad, Noraiham; Puspitasari, Poppy; Jaafar, Rosidah; Tutuko, Pindo
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2020.008.02.1

Abstract

This study has reported the effects of different formulation ratio between recycled high density polyethylene (r-HDPE) and recycled polypropylene (r-PP) into the resulted mechanical, thermal and morphological properties of r-HDPE/r-PP polymeric blends. About five (5) different formulation ratio of r-HDPE/r-PP have been prepared and tested. The best combination ratio between r-HDPE and r-PP was determined in this work. It was found that the 70/30 wt.% of r-HDPE/r-PP blend possessed an outstanding mechanical and physical strength. About 59.80% and 2.30% of positive improvement in comparison to 0/100 wt.% of r-HDPE/r-PP was achieved for both of tensile strength and hardness, respectively. Interestingly, for 70/30 wt.% of r-HDPE/r-PP blend had also experienced major increased in their elongation at break up to 473%. The fracture morphological behavior of the tested samples that were observed via SEM observation, had established the interaction between the structure and properties of produced r-HDPE/r-PP blends, especially on the miscibility state between the r-HDPE and r-PP phases. Thermal evaluation by using the DSC had confirmed the partial miscibility state due to dominant peak shifting at 120 - 140°C and obvious melting peak reduction pattern. Overall, from this study, it was found that the blending between r-HDPE and r-PP into r-HDPE/r-PP blends are feasible to improve the properties of primary phase.
ANALYSIS ON VOLUMETRIC SHRINKAGE OF PLASTIC FOOD CONTAINER MADE FROM AN INJECTION MOLDING PROCESS Jaafar, Rosidah; Arep, Hambali; Mohamad, Effendi; Razak, Jeefferie Abd; Rahman, Muhamad Arfauz A; Yuniarti, Rahmi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2020.008.02.3

Abstract

The plastic injection molding process is one of the widely used of the manufacturing process to manufacture the plastic product with high productivity.  Moreover, the food packaging manufacturing industry undergoes the trials and errors to obtain the optimal setting of the process parameters in order to minimize the quality issues and these trials and errors are time consuming and costly.  The aim of this study is to improve the quality of the butter tub by minimizing the volumetric shrinkage. This study is to deal with the application of Moldflow integrating with the statistical technique to minimize the volumetric shrinkage the butter tub which depends on the process parameters of the plastic injection molding.  For this purpose, the rectangular shape of butter tub is designed by utilizing the SolidWorks.  Molflow is used to simulate the plastic filling of the single cavity mold of butter tub based on the Taguchi’s  orthogonal array table.  In addition, the analysis of variance (ANOVA) is applied to investigate significant impact of the process parameters on the quality of the butter tub. Minitab is used to optimize the response of the volumetric shrinkage by selecting the most appropriate process parameters that maximizing the desirability value.  Furthermore, the butter tub has a uniform thickness which was 1.2 mm and its factor of safety was 3.383 and the volumetric shrinkage response have optimized by 0.956 %. The melt temperature and mold temperature are found to be the most significant process parameters for the plastic injection molding process of butter tub and the volumetric shrinkage value obtained from the simulation is verified by the calculated volumetric shrinkage value.
STATISTICAL PROCESS CONTROL IMPLEMENTATION AS EARLY WARNING SIGNAL FOR SAFETY INTERVENTION IMPROVEMENT AT MINING OPERATION Nugraha, Arya; Yudoko, Gatot
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

As the frequency, severity, and costs of safety risks continue to become a challenge for mining industry, the company understood that the existing safety analytic does not provide adequate information, as it has been relying predominantly on collecting and evaluating aggregated data of lagging indicators about past accidents. This method has been negatively driving the organization to carry out repetitive cycle of accident analysis and problem solving, and therefore, undertaking reactive responses. This paper investigated how statistical process control, in particular control charts, can be applied to hazards data, as the leading indicator of accidents, to detect statistically trends in safety process and safety behavior, aiming to control the safety process in real-time manner before the occurrence of accidents. The result showed that the latest iteration of control limits development in Phase 3 is suitable as the control chart for safety process in one of case study mine operation site. Furthermore, the implementation of control charts to hazards data not only it helps the organization to transition its safety analytic to leading indicator analysis, it enables the organization to control safety process in real-time practice and to carry out timely safety intervention long before the potential occurrence of severe accidents, in which within this case, the first early warning signal was triggered 49 days before the occurrence of the fatality accident.
FIT FOR PURPOSE WELL CONTROL EQUIPMENT SELECTION FOR WORKOVER AND WELL SERVICE RIGS THROUGH DECISION MAKING APPROACH (CASE STUDY: PT BEI) Devid, Devid
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2021.009.02.4

Abstract

PT BEI is a subsidiary of Bravo Corporation that holds 100 percent-owned and operated interest in Rocka PSC. PT BEI need to improve the flexibility of its workover and well service rigs to be operated across the operating areas to deal with dynamic business plan and rig allocation as a strategy in entering the transition period to the end of concession of Rocka PSC. Well Control equipment associated with the rig contract Scope of Work (SOW) is identified as the main potential causes of why current rigs have less flexibility. A decision-making approach is utilized to find the solution. Well data mapping combined with existing business process and applicable standards review are conducted to determine the minimum Well Control equipment requirement, selection criteria and alternatives. The Analytic Hierarchy Process (AHP) is utilized as the decision-making method to analyze the alternatives. As the result, a BOP Class II A1-R1 (Annular + Blind-Shear ram) is selected as the fit for purpose Well Control equipment. The solution implementation improves the rig flexibility and saves potential $ 90,000 investment cost per rig for the rig contractors and $ 77,000 cost avoidance per rig for PT BEI.
ENVIRONMENTAL SUSTAINABILITY ASSESSMENT OF SUGARCANE INDUSTRY USING LIFE CYCLE ASSESSMENT Kautzar, Galuh Zuhria; Tama, Ishardita Pambudi; Sumantri, Yeni
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2020.008.02.5

Abstract

The sugarcane industry is one of the industries that generated negatives impact on the environment. Therefore, it can be concluded that the sugarcane industry is not environmentally sustainable. The results of this research show that the use of electricity from bagasse cogeneration becomes the main contributor to all of damage categories. Meanwhile, the highest contribution to damage categories is human health with a total score of 59%. The results of this research are expected to reduce the environmental impact produced by PT. X so that PT. X will be more environmentally sustainable.
SIMULATION OF COAL HANDLING PLANT TO SUPPORT THE STABILITY OF COAL SUPPLY KUSMIWARDHANA, DANANG; Sugiono, Sugiono
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2020.008.02.6

Abstract

PLTU PJB UPJ O&M Paiton is a steam power plant which uses coal as a fuel Coal Handling Plant. It is an important unit to control coal supply. Recently, PLTU PJB UPJ O&M Paiton uses coal from many suppliers. That suppliers can be devided in two qualities based on they calorific values, which low rank and high rank. Multi supplier can affect instability of boiler performance if the coal supply to boiler didn’t managed properly. The blending process between high rank coal and low rank coal had been done to solve that problem, but unwanted mixing between supplier still can be happened if there is not proper management in the coal yard.The solution offered to solve the problem is by making design lost to district from actual system, So that, it is necessary to ascertain how the impact of lost to system in CHP. Simulation method is used to know that impact. The simulation is done with EXTEND6TM software by modeling the components of the existing  CHP system.
NATURE INSPIRED METAHEURISTICS COMPARATIVE STUDY TO SOLVE TRAVELING SALESMAN PROBLEM Chandra, Agung
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2021.009.02.1

Abstract

There are numerous optimization method to solve the traveling salesman problem, TSP. One of methods is metaheuristics which is the state of the art algorithm that can solve the large and complex problem. In this research, three of well-known nature inspired population based metaheuristics algorithm: Ant Colony Optimization – ACO, Artificial Bee Colony – ABC and Particle Swarm Optimization – PSO are compared to solve the 29 destinations by using Matlab program. The ACO produces the shortest distance, 94 kilometers and is more efficient than ABC and PSO methods.

Page 34 of 37 | Total Record : 364

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