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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 10 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2020)" : 10 Documents clear
A Hybrid Control Chart-Taguchi Method for Control and Optimization of Safety Conformity Martins, S.A.; Oke, S.A.
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.v2i2.3783

Abstract

In this paper, a hybrid control chart-Taguchi method (CCTM) is proposed to solve the control and optimization problem regarding safety conformity parameters for a bottling process plant (BPP). The CCTM fuses the conservative control charts, which monitor the safety conformity parameters to promote and maintain the uppermost grade of employees’ physical, social and mental well-being. The control chart result is placed in the Taguchi methodical phase of factor-level determination to cultivate an orthogonal array. Then, the inventive rational ability of the control chart is used to correct the process and hence, enhances the Taguchi method. Consequently, the CCTM can be intensely robust and statistically precise. The proposed CCTM was successfully used to solve the safety conformity problem involving the control and parametric optimization in a bottling process plant. The field data uncovers the ability of the proposed CCTM to control and optimize the bottling process plant parameters. Moreover, it showcases the results as better than an enormously stronger than the conventional Taguchi method.
Optimization of Packaging Process Parameters Using Combined Taguchi Method-present Worth Method/Inflationary Factor Validated Oke, S.A.; Fagbolagun, I.O.
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.v2i2.3785

Abstract

In a previous article, the packaging optimization literature illustrated how to optimize the packaging parameters using the classical Taguchi approach. Notwithstanding, it is compelling to bridge the gap created in the article for further advancement. Thus, this paper contributes to expanding scholarship regarding the area. The paper targets the Taguchi methodical optimization literature in which several scores of research across engineering disciplines and beyond have been undertaken. At present, evaluation using the Taguchi method often stops at the determination of the optimal settings from the response table through a chain of steps from factor-level selection, orthogonal array choice, signal-to-noise determination, and response table evaluation to emerge the optimal parameters. There is no information on the economic aspects of the parameters, yet processes are expected to be sustainable while economic factors play a central role. A novel idea of the present work is introduced where the interest rate and inflationary factor with levels are used to determine the economic strength of each parameter through ranking. Data was collected from a brewery process, and literature data concerning cold arc welding parametric evaluation was used. The outcome demonstrates the workability of the method in the packaging plant and cold arc welding process. The work is useful for packaging managers and welding engineers for planning purposes.
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.
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.
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.
A Hybrid Control Chart-Taguchi Method for Control and Optimization of Safety Conformity Martins, S.A.; Oke, S.A.
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.v2i2.3783

Abstract

In this paper, a hybrid control chart-Taguchi method (CCTM) is proposed to solve the control and optimization problem regarding safety conformity parameters for a bottling process plant (BPP). The CCTM fuses the conservative control charts, which monitor the safety conformity parameters to promote and maintain the uppermost grade of employees’ physical, social and mental well-being. The control chart result is placed in the Taguchi methodical phase of factor-level determination to cultivate an orthogonal array. Then, the inventive rational ability of the control chart is used to correct the process and hence, enhances the Taguchi method. Consequently, the CCTM can be intensely robust and statistically precise. The proposed CCTM was successfully used to solve the safety conformity problem involving the control and parametric optimization in a bottling process plant. The field data uncovers the ability of the proposed CCTM to control and optimize the bottling process plant parameters. Moreover, it showcases the results as better than an enormously stronger than the conventional Taguchi method.
Optimization of Packaging Process Parameters Using Combined Taguchi Method-present Worth Method/Inflationary Factor Validated Oke, S.A.; Fagbolagun, I.O.
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.v2i2.3785

Abstract

In a previous article, the packaging optimization literature illustrated how to optimize the packaging parameters using the classical Taguchi approach. Notwithstanding, it is compelling to bridge the gap created in the article for further advancement. Thus, this paper contributes to expanding scholarship regarding the area. The paper targets the Taguchi methodical optimization literature in which several scores of research across engineering disciplines and beyond have been undertaken. At present, evaluation using the Taguchi method often stops at the determination of the optimal settings from the response table through a chain of steps from factor-level selection, orthogonal array choice, signal-to-noise determination, and response table evaluation to emerge the optimal parameters. There is no information on the economic aspects of the parameters, yet processes are expected to be sustainable while economic factors play a central role. A novel idea of the present work is introduced where the interest rate and inflationary factor with levels are used to determine the economic strength of each parameter through ranking. Data was collected from a brewery process, and literature data concerning cold arc welding parametric evaluation was used. The outcome demonstrates the workability of the method in the packaging plant and cold arc welding process. The work is useful for packaging managers and welding engineers for planning purposes.
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.
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.
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.

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