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Journal : Journal of Industrial Engineering Management

ANALYSIS OF PREVENTIVE MAINTENANCE AND CORRECTIVE MAINTENANCE USING RELIABILITY ANALYSIS AND FMEA (FAILURE MODES AND EFFECTS ANALYSIS) Aji, Muhammad Dava; Abdurahman, Zaki; Azizah, Nabila Aulia; Annisa, Putri Dwi
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1877

Abstract

In maintaining the condition of the machine so that it does not experience damage or at least to reduce the type of damage, a good and appropriate machine maintenance system is needed so that the results can increase the effectiveness of the machine and reduce losses resulting from engine damage. Reliability and availability greatly affect the performance of a system and equipment used, the operating process, and the expertise of the operator in running the machine. Maintenance or maintenance is often associated as the root of reliability, therefore, there is a need for a good maintenance strategy to increase the reliability of a production system. At PT. XYZ factors that affect production bottlenecks are system or equipment failures and scheduling that is not in accordance with the planned production time and downtime that occurs can affect many things including cost, time, reliability guarantees and others. This research involves the use of mathematical methods through reliability analysis and analysis of potential and impact failures, with the aim of optimizing corrective and preventive handling to minimize repair costs and reduce unnecessary costs.
RELIABILITY AND PRODUCTIVITY ANALYSIS OF COLD ROLLING PRODUCTION UNITS: INSIGHTS FROM OBJECTIVE MATRIX AND 5-WHY’S ANALYSIS METHODS Arifa, Dhinar Elma; Kirana, Nabila Lintang; Ulung, Manik Purbo; Annisa, Putri Dwi
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1879

Abstract

The research on increasing productivity using the Objective Matrix (OMAX) and the 5-Whys problem-solving method in a manufacturing company that produces coil steel can be applied in the steel industry with a competitive advantage. The OMAX method is used to measure productivity and determine the appropriate productivity criteria for the existence of a particular department. The 5-Whys problem-solving method is used to detect factors that affect productivity and identify solutions to overcome them. The research can be conducted by collecting data on productivity levels, productivity criteria, and factors that affect productivity. This data can be obtained through systematic measurement and analysis. The results of the research can be used to identify factors that affect productivity, measure productivity levels, and identify solutions to overcome them. The research can be beneficial for a manufacturing company that produces coil steel in developing strategies to increase productivity.
DETERMINATION OF FACTORS AFFECTING HUMANITARIAN LOGISTICS RESILIENCE UNDER DELAYED AID DISTRIBUTION Annisa, Putri Dwi; Fatimah, Malida; Yudistira, Lingsang Jallu
Journal of Industrial Engineering Management Vol 10, No 1 (2025): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v10i1.1911

Abstract

Resilience in the face of delays in the distribution of humanitarian logistics is a crucial aspect in post-disaster response. This study aims to analyze the factors that affect the resilience of disaster victims in the context of logistics delays using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. This research model adopts three main constructs, namely Sense of Mastery (SoM), Sense of Relatedness (SoR), and Emotional Reactivity (ER), which are assumed to contribute to individual resilience (RES). Data was collected through a questionnaire-based survey of individuals who had experienced delays in the distribution of humanitarian aid. The results of the analysis show that SoM and SoR have a significant positive influence on resilience. In contrast, ER has a negative relationship with RES, which means that the higher a person's level of emotional reactivity, the lower their level of resilience in the face of delays in help. In the initial model, there are several indicators showing low outer loading values so they are excluded from the final model, because they do not contribute significantly to other variables. After refining the model, the reliability results show that the remaining constructs have good validity and reliability values. Strong R-square values for all endogenous variables (SoM = 0.962, SoR = 0.894, ER = 0.981, RES = 0.944) confirm that the model has high predictive ability in explaining resilience in the context of delays in the distribution of human logistics. The results of this study can be the basis for policymakers and stakeholders in developing a more optimal aid distribution system, as well as mitigation strategies that can increase the resilience of disaster victims in facing future logistical challenges.
Analisis Rancangan Tata Ruang Toko dalam Bisnis Retail Indomaret Plus Padasuka Ciomas Bogor Annisa, Putri Dwi; Fatimah, Malida; Yudistira, Linsang Jallu
Journal of Industrial Engineering Management Vol 10, No 1 (2025): Vol 10, No 1 (2025): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v10i1.1725

Abstract

Resilience in the face of delays in the distribution of humanitarian logistics is a crucial aspect in post-disaster response. This study aims to analyze the factors that affect the resilience of disaster victims in the context of logistics delays using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. This research model adopts three main constructs, namely Sense of Mastery (SoM), Sense of Relatedness (SoR), and Emotional Reactivity (ER), which are assumed to contribute to individual resilience (RES). Data was collected through a questionnaire-based survey of individuals who had experienced delays in the distribution of humanitarian aid. The results of the analysis show that SoM and SoR have a significant positive influence on resilience. In contrast, ER has a negative relationship with RES, which means that the higher a person's level of emotional reactivity, the lower their level of resilience in the face of delays in help. In the initial model, there are several indicators showing low outer loading values so they are excluded from the final model, because they do not contribute significantly to other variables. After refining the model, the reliability results show that the remaining constructs have good validity and reliability values. Strong R-square values for all endogenous variables (SoM = 0.962, SoR = 0.894, ER = 0.981, RES = 0.944) confirm that the model has high predictive ability in explaining resilience in the context of delays in the distribution of human logistics. The results of this study can be the basis for policymakers and stakeholders in developing a more optimal aid distribution system, as well as mitigation strategies that can increase the resilience of disaster victims in facing future logistical challenges