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154 Documents
<![CDATA[An Inventory Model Considering All Unit Discount and Carbon Emissions ]]>
<![CDATA[Kristiyani, I.M.]]>;
<![CDATA[Daryanto, Y.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 1 No. 2 (2019) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v1i2.3410
<![CDATA[Consumer satisfaction is an important factor in the ongoing business process. Companies must be able to meet consumer demands and considers customers’ concerns on price. In a supplier and customer relationship, a given discount will affect the order size. Besides, in the current developing industry, environmental factors must be considered without disturbing the business. Recently, researchers and practitioners develop environmentally-friendly industries so that the environment will be well managed and not polluted. For example, carbon emissions can be managed by optimizing the production operation and product distribution. This paper presents a study on the relationship between discount on the economic order quantity model and the total carbon emissions. This research develops a procurement model by considering an all-unit discount system and carbon emission tax. The aim is to determine the optimal order that minimizes the total cost.]]>
<![CDATA[The Optimization of Packaging System Process Parameters Using Taguchi Method ]]>
<![CDATA[Fagbolagun, I.O.]]>;
<![CDATA[Oke, S.A.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i1.3694
<![CDATA[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.]]>
<![CDATA[A Review of The Challenges of Paperless Concept In The Society 5.0 ]]>
<![CDATA[Prasetyo, S.E.]]>;
<![CDATA[Damaraji, G.M.]]>;
<![CDATA[Kusumawardani, S.S.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i1.3755
<![CDATA[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.]]>
<![CDATA[Exploring Aluminum Alloy Metal Matrix Composites in EDM Using Coupled Factor-level-present Worth Analysis and Fuzzy Analytic Hierarchy Process ]]>
<![CDATA[Okponyia, K.O.]]>;
<![CDATA[Oke, S.A.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i1.3781
<![CDATA[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.]]>
<![CDATA[A Hybrid Control Chart-Taguchi Method for Control and Optimization of Safety Conformity ]]>
<![CDATA[Martins, S.A.]]>;
<![CDATA[Oke, S.A.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i2.3783
<![CDATA[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.]]>
<![CDATA[Optimization of Packaging Process Parameters Using Combined Taguchi Method-present Worth Method/Inflationary Factor Validated ]]>
<![CDATA[Oke, S.A.]]>;
<![CDATA[Fagbolagun, I.O.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i2.3785
<![CDATA[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.]]>
<![CDATA[Application of Pigeon Inspired Optimization for Multidimensional Knapsack Problem ]]>
<![CDATA[Setiawan, F.]]>;
<![CDATA[Sadiyoko, A.]]>;
<![CDATA[Setiardjo, C.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i1.3841
<![CDATA[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.]]>
<![CDATA[A Joint Replenishment Inventory Model to Control Multi-Item Medicines with Consideration of Space Requirements in the Hospital ]]>
<![CDATA[William, W.]]>;
<![CDATA[Ai, T.J.]]>;
<![CDATA[Lee, W.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i2.4190
<![CDATA[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.]]>
<![CDATA[Predictive Maintenance in SCADA-Based Industries: A literature review ]]>
<![CDATA[Suryadarma, E.H.E.]]>;
<![CDATA[Ai, T.J.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i1.4368
<![CDATA[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.]]>
<![CDATA[Customer Loyalty in Coffee Shop: Literature Review and Condition for The Future ]]>
<![CDATA[Pesoa, J.A.]]>;
<![CDATA[Kristyanto, B.]]>;
<![CDATA[Dewa, P.K.]]>
<![CDATA[ International Journal of Industrial Engineering and Engineering Management Vol. 2 No. 2 (2020) ]]>
Publisher : <![CDATA[Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/ijieem.v2i2.4394
<![CDATA[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.]]>
