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International Journal of Industrial Engineering and Engineering Management
Published by Universitas Atma Jaya Yogyakarta
ISSN : -     EISSN : 26854090     DOI : https://doi.org/10.24002/ijieem
Core Subject : Engineering,
Industrial & Manufacturing Engineering
International Journal of Industrial Engineering and Engineering Management (IJIEEM) is an open access scientific journal that publishes theoretical and empirical peer-reviewed articles, which contribute to advance the understanding of phenomena related with all aspects of Industrial Engineering and Engineering Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 5 Documents
 1 
Search results for , issue "Vol 2, No 1 (2020)" : 5 Documents clear
A Review of The Challenges of Paperless Concept In The Society 5.0 Prasetyo, S.E.; Damaraji, G.M.; Kusumawardani, S.S.
International Journal of Industrial Engineering and Engineering Management Vol 2, No 1 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.558 KB) | DOI: 10.24002/ijieem.v2i1.3755

Abstract

The world will start a new era of society where technology and humans can collaborate to solve social problems. Many countries have ridden into the 4.0 era in the industrial revolution. In reality, Japan began to introduce Society 5.0, where the concept was the answer to the industrial revolution 4.0. Society 5.0 applies the human-centered concept based on information technology. In fact, there has been no in-depth study of the advantages and challenges of implementing paperless in various fields. The purpose of this paper is to review the challenges and the advantages of the paperless concept using Narrative Literature Review to provide an objective analysis of the paperless concept. The objects research discussed including industry/manufacturing, education, medical, and government. This paper provides an in-depth study and analysis of the paperless concept's advantages and challenges related to hardware and software maintenance, data security and reliability, human resources technical skills, social interaction, and disaster recovery strategy.
Exploring Aluminum Alloy Metal Matrix Composites in EDM Using Coupled Factor-level-present Worth Analysis and Fuzzy Analytic Hierarchy Process Okponyia, K.O.; Oke, S.A.
International Journal of Industrial Engineering and Engineering Management Vol 2, No 1 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (673.603 KB) | DOI: 10.24002/ijieem.v2i1.3781

Abstract

This paper targets two improvement aspects of the electrical discharge machining (EDM) process. First, it formulates the EDM problem as an economic issue incorporating the present worth analysis into the factor-level framework and solves it with the performance analysis flow diagram. Second, it conceptualizes the EDM process as imprecision and uncertainty and solves it with the fuzzy analytical hierarchy process (FAHP) approach. At present, these methods are not accessible to the EDM process engineer to machine the work material, AA6061/10%Al2O3AMMCs. In this study, the EDM process application using these methods on AA6061/10%Al2O3AMMCs is considered. This paper investigates the use of fuzzy AHP multi-criteria and the present worth method to produce a structured approach to model multi-response problem of EDM process parametric optimization concerning composite named AA6061/10%Al2O3AMMCs to obtain a robust design and the best parametric selection. The selected performance measures for the inputs to attain the performance flow analysis using the present worth method are MRR = 17.932 to 31.753 mg/min, TWR = 0.171 to 0.289 mg/min, SR = 8.228 to 12.680 mm and OV = 0.292 to 0.406 mm. The performance flow analysis reveals a present with a value of 1.604 based on the equivalence analysis of the flow diagram's positive and negative sides. The FAHP results showed the enhanced values of 0.1051, 0.2290, and 0.6658 for peak current, pulse on time, and duty factor, respectively. The approach is novel and has not been implemented elsewhere to solve the problem for the combination of materials studied.
Application of Pigeon Inspired Optimization for Multidimensional Knapsack Problem Setiawan, F.; Sadiyoko, A.; Setiardjo, C.
International Journal of Industrial Engineering and Engineering Management Vol 2, No 1 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.974 KB) | DOI: 10.24002/ijieem.v2i1.3841

Abstract

The multidimensional knapsack problem (MKP) is a generalization of the classical knapsack problem, a problem for allocating a resource by selecting a subset of objects that seek for the highest profit while satisfying the capacity of knapsack constraint. The MKP have many practical applications in different areas and classified as a NP-hard problem. An exact method like branch and bound and dynamic programming can solve the problem, but its time computation increases exponentially with the size of the problem. Whereas some approximation method has been developed to produce a near-optimal solution within reasonable computational times. In this paper a pigeon inspired optimization (PIO) is proposed for solving MKP. PIO is one of the metaheuristic algorithms that is classified in population-based swarm intelligent that is developed based on the behavior of the pigeon to find its home although it had gone far away from it home. In this paper, PIO implementation to solve MKP is applied to two different characteristic cases in total 10 cases. The result of the implementation of the two-best combination of parameter values for 10 cases compared to particle swarm optimization, intelligent water drop algorithm and the genetic algorithm gives satisfactory results.
Predictive Maintenance in SCADA-Based Industries: A literature review Suryadarma, E.H.E.; Ai, T.J.
International Journal of Industrial Engineering and Engineering Management Vol 2, No 1 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.844 KB) | DOI: 10.24002/ijieem.v2i1.4368

Abstract

The purpose of this paper is to mapping and review what has been done on the topic of research on predictive maintenance in SCADA (Supervisory Control and Data Acquisition) based industries. In the research area of predictive maintenance, various methods for predicting damage or time to failure of a machine have been proposed and applied in various industries. This paper systematically categorizes predictive maintenance in SCADA-based industries research based on industry classifications according to ISIC (International Standard Industrial Classification of All Economic Activities). Furthermore, the research scope is explored its connection to the topics of Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Supervisory Control and Data Acquisition (SCADA). It is found that 81.5% of the research was conducted on the electricity, gas, steam, and air conditioning supply industries, 11.1% of research was conducted on the mining and quarrying industry, and 7.4% of the research conducted in the manufacturing industry. It is also found that 85.2% of studies used AI and ML, 18.5% of the studies used IoT, and 18.5% of research used AI/ML and IoT technology together.
The Optimization of Packaging System Process Parameters Using Taguchi Method Fagbolagun, I.O.; Oke, S.A.
International Journal of Industrial Engineering and Engineering Management Vol 2, No 1 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.928 KB) | DOI: 10.24002/ijieem.v2i1.3694

Abstract

Packaging systems constitute substantially to product cost, its safety, and optimization. Unfortunately, no previous optimization studies have examined the packaging system in a bottling process plant for the unique, developing country environment. Consequently, the Taguchi method is applied to optimize a process plant's packaging system in a Nigerian plant's real-life situation. Optimal combinations of packaging system parameters that minimize product waste are created. An L4 (23) Taguchi orthogonal array was selected to analyze the data, and signal-to-noise ratios were computed for each experiment's run. Since the aim was to minimize beer waste, the ‘the-smaller-the-better’ signal-to-noise ratio was chosen in the analysis. S/N ratio plots revealed the optimum settings to obtain minimal product waste, namely, A2, B1, and C2 from the main effects plot for signal-to-noise ratios. A two-way ANOVA was performed on the significant factors to determine their percentage contributions to the response (product waste). Through Taguchi's innovative approach, the feasibility of optimizing the packaging process parameters was demonstrated and validated.

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