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Journal : JKIE (Journal Knowledge Industrial Engineering)

Managing Risk on A Pharmacy Enterprise Supply Chain Using House of Risk Approach Nafi’ah, Aenun; Mahbubah, Nina
Journal Knowledge Industrial Engineering (JKIE) Vol 8 No 3 (2021): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v8i3.2752

Abstract

Pharmacy CBA is a trading business that engages in pharmaceutical and medical devices. Uncertainty and complexity have been identified as risks in business supply chains. Further measurement is needed in order to enhance the effectiveness of the pharmacy business process. The purpose of this study is to identify risk events and risk agents, calculate the risk value in the supply chain flow from upstream to downstream, and determine efforts to minimize risk. The method used in this research is HOR 2 phases, through a SCOR-based approach. The study begins with the identification of risk events and risk agents based on SCOR, then calculates the level of severity, occurrence, and correlation for the calculation of the HOR 1. Identified 45 risk events, 23 risk agents, and 19 actions to minimize risk. Aggregate risk potential is calculated as a result of HOR 1. From 23 risk agents, ten are prioritized based on the most significant ARP value. In the calculation of HOR 2, 10 risk mitigation strategies are obtained to minimize risk along with the supply chain stream. There are four approaches to implementing the ten mitigations: HR Development, Customer Relationship Management-based approach, Supplier relationship management, and facility design.
Managing Waste Using the Integration of Lean and Ergonomic Methods Mahdi, Naufal Abiyyu; Mahbubah, Nina
Journal Knowledge Industrial Engineering (JKIE) Vol 9 No 1 (2022): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v9i1.3015

Abstract

CV. AAA is a company engaged in the production of water tanks. As a player in the manufacturing industry, CV. AAA performs continuous improvement in each production process to minimize losses due to non-value-added activities due to waste and ineffectiveness in carrying out the production process. This research objective evaluates activities that cause waste in the water tank production line with a Lean approach and ergonomics. This research begins by describing the current state map to identify waste throughout the production flow. Followed by the analysis of the occurrence of non-value-added activities at the stages of the production process. The results showed that three wastes were identified, namely Waiting, Defect, and Excess Processing. The non-optimal production process is because the tools used are manual labor which can lead to the risk of muscle injury to the operator. Nordic Body Map Scoring result obtained from four operators found that the final score is from medium to high level. Scenario improvement presented in future state map shows in reducing cycle time as well as lead time.
Evaluating Breakdown of Wheel Loader Heavy Equipment Using Failure Mode and Effect Critical Analysis Method Rizqika , Agung Qiu; Mahbubah, Nina
Journal Knowledge Industrial Engineering (JKIE) Vol 9 No 3 (2022): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v9i3.3544

Abstract

Autonomous maintenance is considered a comprehensive approach to detecting machine and equipment breakdown. PT. A is an enterprise engaged in heavy equipment services. Even though the company has implemented autonomous maintenance management, there has been damage and operational failure of the wheel loader machine. A practical evaluation is needed to determine the breakdown's cause. This study aims to identify the causes of malfunctions or machine components to determine effective remedial measures. Failure Mode Effect and Criticality Analysis method is used as a research approach. This study begins by identifying the three most significant damage rankings, then calculating the highest level of critical value, using the Pareto diagram recommendation for improvement using the 5W + 1H analysis. The results showed three critical failure modes: the starter dynamo component with a value of 324, the main pump with a value of 288, and a radiator with 294. This study also instigates recommendations for improvements to minimize the factors that cause critical failure.