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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 154 Documents
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A Joint Replenishment Inventory Model to Control Multi-Item Medicines with Consideration of Space Requirements in the Hospital William, W.; Ai, T.J.; Lee, W.
International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v2i2.4190

Abstract

Medicines can be considered the most widely used medical expenditures in hospitals. To reduce the medicines expenses in the hospital, the term of inventory control is applied. Medicines must be controlled by considering the expiry dates and the probabilistic demand from the customers. Therefore, it is necessary to develop an inventory model that can be suitable to control medicines by minimizing the expired medicines, total inventory costs, and dealing with unpredictable demand. The purpose of this research is to develop an inventory model for determining optimum replenishment time and order quantities and space requirements for multi-item medicines with consideration of expiry dates of the medicines and all medicines are being purchased in a single purchase order so that the total inventory costs in hospitals can be minimized. The result is that the proposed inventory model results in optimum space requirements and the lowest inventory costs. Therefore, hospitals must order medicines based on the optimum order quantity.
Lexicon-based Sentiment Analysis for Product Design and Development Sutrilastyo, Sutrilastyo; Diar Astanti , Ririn
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4351

Abstract

This paper discusses the role of text mining and sentiment analysis in collecting and analyzing customers’ verbatim/voice of the customer for product design and development. In the illustration case of designing car underbody, the data were collected from a car online forum discussion website and processed using text mining techniques with “underbody” as a keyword. The result of the analysis finds there are worries regarding underbody durability against rust and damages. This finding is used as a reference point for the car underbody design process.
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 | 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.
Customer Loyalty in Coffee Shop: Literature Review and Condition for The Future Pesoa, J.A.; Kristyanto, B.; Dewa, P.K.
International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v2i2.4394

Abstract

The Corona Virus 2019 or Covid-19 outbreak has caused a global panic that is fatal. Various sectors have been affected. The coffee industry sector has also been affected by Covid-19. Losing customer loyalty is a threat to coffee industry entrepreneurs. This study has the purpose of measuring Customer Loyalty and a way to prevent the coffee shops from losing customers during the Covid-19 pandemic. This purpose is divided into two-stage. The first stage is to identify what factors affect customer loyalty and the relationship before the pandemic. The second stage is to test these factors during the Covid-19 pandemic in the context of the coffee shop business area. The second stage will be done for future study purposes. To support the first stage, the author divided it into two steps. First: summarize the factors that affect customer loyalty in the coffee shop business area. The second: is to build a relationship of the factors that affected customer loyalty based on the summarized factor in the first step. The results of this study show that customer satisfaction and trust have a direct effect on customer loyalty. Moreover, these factors can be a suitable mediation for others factors influencing loyalty. Besides that, service quality and price fairness can affected both mediation factors. Moreover, every existing factor also has an important role because these factors influence and support each other in creating Customer Loyalty.
Factor Selection in Drilling Unidirectional Carbon Fiber Reinforced Plastic Composite Plates with The HSS Drill Bit Using Analytic Hierarchy Process Oke, Sunday Ayoola; Odusoro, Salome Ifeoluwa
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4414

Abstract

The present state of competition within the plastic composite industry calls for efficiency to be competitive. However, in the drilling of carbon-fiber-reinforced plastic (CFRP) composites, the process engineer still lacks knowledge of the priority of parameters as parameters are chosen at random, and resources are deployed without justification on their importance and strength. Consequently, production crises and productivity losses persist. In this article, the analytic hierarchy process (AHP) method is deployed to evaluate the weights of criteria in a CFRP composite drilling operation. The establishment of the decision, alternatives, and criteria is accomplished, and pairwise comparisons are conducted to allow the computation of the importance weight of each criterion. The weight is then established. The proposed approach was illustrated with experimental data from the literature with a plastic drilling case. Six criteria were chosen as crucial in determining the drilling parameters of CFRP composites. The results reveal the following: thrust force (0.413), torque (0.253), eccentricity (0.151), surface roughness (0.115), delamination at entry (0.037) and delamination at exit (0.030). In a validation exercise to ascertain the consistency of the analysis, a consistent analysis was obtained. The novelty of the article is using the AHP approach on the drilling of CFRP composites. Practically, these results impact operator training, indicating that attention should be focused on thrust force control. The industrial applications of CFRP composites include the basic structures of automobiles, ships, and airplanes.
An Implementation of A Combined DEA-PROMETHEE Method for The Hull of A Ship Application Maduekwe, Victor Chidiebere; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4437

Abstract

The selection of an appropriate parameter in a water absorption process experiment is an important route to reducing fabrication wastes and ensuring the optimum deployment of scarce process resources to the appropriate parameter. However, the literature is inadequate in providing an appropriate direction on selecting parameters for the hull of the ships' application due to the conflicting requirements of the interested parties. A novel method called the Data Environment Analysis (DEA) to overcome this problem. Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) method is deployed to establish the appropriate parameter in a water absorption process on epoxy composite. The net outranking results show that criterion B (final weight) is placed in the first position. The criterion A (initial weight), D (thickness), and C (length) are placed in the second, third, and fourth positions, respectively, while E (time) is not necessary to the achievement of the system's goals. The key novelty is the unique application of the fused DEA-PROMETHEE method to a composite using the Taguchi signal-to-noise ratio response table for the hull of a ship. The method enhances the performance of multiple inputs (parameters) and multiple outputs (responses). The results of the DEA method-PROMETHEE method established the potential of epoxy composite to be used on the ship for the hull component. This could reduce the waste generated in the system, and guided allocation of resources are made to the appropriate parameters and, consequently, enhance the shipping company's profit. Furthermore, the results could improve the shipping vessel performance and develop a sustainable practice, which will lengthen the lifespan of the shipping industry.
A Fuzzy Analytic Hierarchical Method to Reduce Imprecision and Uncertainty in Drilling Operation’s Factor Selection Process for Unidirectional Carbon Fibre Reinforced Plastic Composite Plates Odusoro, Salome Ifeoluwa; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4447

Abstract

Parametric selection in machining processes is recently understood as a route to reducing waste generation in drilling activities and achieving a robust resource distribution in drilling activities. However, the selection methods dominant in the literature lack competence in reducing uncertainties and imprecision associated with the drilling process. The purpose of this research is to reduce the uncertainty and imprecision in previously analyzed data that used the analytic hierarchy process (AHP) method. This paper adjusts the uncertainty and imprecision by introducing a geometric mean-based fuzzy analytic hierarchy process. The selection method influences the drilling expert's preferences by imposing the fuzzy theory in a triangular member function that converts the crisp numerical values into fuzzy members and adequately suppresses the imprecision and uncertainty in the elements. The thrust force was positioned first in ranking with a FAHP method's weight of 0.415, which matched the literature value of 0.413 for the AHP method. It was found that the use of the FAHP method has corrected the imprecision and uncertainty introduced by the AHP method. It was found that the thrust force and torque were overestimated by or 0.48% and 3.95%, respectively and was accordingly corrected. Besides, no errors were found with the measurement of eccentricity response. Furthermore, the entry delamination, exit delamination and surface roughness were underestimated by -8.11%, -3.33% and -6.96%, respectively, and therefore corrected by the FAHP method. The usefulness of this effort is to enhance cost-effective decisions and the effectiveness in the distribution of scarce drilling resources.
Applying User Interface Analytics to Identify Online Shop Performance Factors Bellanov, A.; Suharyanti, Y.; Daryanto, Y.
International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v2i2.4797

Abstract

The massive use of information systems and digital applications drives the growth of e-commerce, including online shops in marketplaces. However, some of the online shops are not successful. To improve their performance, the success factors of the online shops should be recognized. This study develops a model of online shop success factors. Unlike the other researches that use customer preference data from surveys, this study uses user interface analytics to develop the model. A marketplace operated in Indonesia was selected as the case study. The study begins with a scraping process of the data available at online shops' user interfaces in the marketplace. After data cleaning, outliers handling, and data clustering by product category, a series of multiple regression analyses are performed to get the model estimates. Eight variables are defined to develop the model, i.e., product price, percentage of responded chat, shop joining time in the marketplace, number of product types, number of raters, shop rating, shop reputation, and number of followers. The results of the multiple regression process show that the model estimate is specific for every product category. The final model can be used as a reference by the online shop sellers to develop their strategy to improve their shop performance. Moreover, the results also prove that user interface analytics is effective in estimating the performance factors of online shops in a marketplace.
Literature Review of Job Description: Meta-analysis Switasarra, Adelia Veneska; Astanti, Ririn Diar
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 1 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i1.4923

Abstract

A job description document is a formal document that exists in the organization that usually has a formal social structure. Whether it is a small-scale organization to a large-scale organization, every formal organization usually has this document. The study presented in this paper tries to present the summary of the research related to the job description document. In the previous research, there is less attention has been given to explore the role of a job description in the various aspects of decision making in the company. Therefore, the importance and the role of the job description to the company, especially in supporting decision-making in the company, is explored in this study. In this study, we reviewed 43 papers published between 2001 and 2021. Several aspects related to job description such as 1) Definition of the job description; 2) Development of job descriptions; and 3) Benefits of job descriptions based on four reviewed papers are explained. The selected articles are taken from the article database engine: Emerald Insight, Semantic Scholar, Proquest, Science Direct, Elsevier, Springer Link with the keyword "Job Description". The intention of this review is to address the following questions related to (i) in what aspect the research related to job descriptions are conducted; (ii) what the contribution of job descriptions document to the decision-making in the company.
Novel EDAS-Taguchi and EDAS-Taguchi-Pareto Methods for Wire EDM Process Parametric Selection of Ni55.8Ti (Nitinol) Shape Memory Alloy Okponyia, Kenechukwu Obinna; Oke, Sunday Ayoola
International Journal of Industrial Engineering and Engineering Management Vol. 3 No. 2 (2021)
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijieem.v3i2.4998

Abstract

The EDAS (evaluation based on distance from average solution) method is a broadly utilized tool for multi-criteria analysis with the ability to handle several conflicting criteria. The Taguchi method is an optimization tool with economic capability in experimentation. This article presents EDAS Taguchi (EDAS-T) method based on EDAS and the Taguchi method. It also presents EDAS Taguchi-Pareto (EDAS-TP) method framed from EDAS and Taguchi-Pareto methods. Furthermore, data from the literature to test the proposed methods are presented, which the results are compared. This research shows that the EDAS method produces the optimum combination of parameters at a run with a current of 4A, pulse on time of 50 µs, pulse off time of 14ms, and powder concentration of 1 g/L. Also, the EDAS-Taguchi method reveals a current of 4A, pulse on time of 60 µs, pulse off time of 14 µs, and powder concentration of 1 g/L. However, the principal result is that using the EDAS Taguchi-Pareto method, the optimal current is 3A, pulse on time is 60 µs, and powder concentration is 0.75g/L. The EDAS Taguchi-Pareto method eliminated the pulse off time and pulse on time, claiming that it is not significant to the system's optimum performance. The principal novelty of this article is that it introduces a mechanism of concurrently optimizing and selecting the wire EDM process parameters using the EDAS-Taguchi-Pareto method. The optimization is parallelly conducted as selection occurs, providing an initial notification to ascertain timely detection and control of local optimality of parameters to global optimization before final selection. This is unlike most evaluations, where optimization is done differently from the selection. This study is the first to develop and use EDAS methods for the WEDM process of Ni55.8Ti shape memory alloy.

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