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Employee Workload Analysis Using the Full Time Equivalent Method in the Production Division at PT. Indonesian Ship Industry (Persero) Makassar Mazitah, Nurfaidah; Dahlan, Muhammad; Ahmad, Arfandi; Mahendra, Kresna Adi
Journal of Industrial System Engineering and Management Vol. 2 No. 1 (2023): Journal of Industrial System Engineering and Management (Edisi March)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v2i1.16

Abstract

PT. IKI is a shipbuilding company owned by the Indonesian government engaged in production. Preliminary observations found that there was an imbalance in the workload received by each employee, causing employees to work beyond operating hours, sometimes also working outside the company's working days. Workload analysis is very important to calculate exactly how many employees are needed to complete all tasks in a part or department in the company. In this research was conducted to identify the workload received by employees of the plumbing department, and determine the number of employee needs based on their workload. This study uses the full time equivalent method to identify the workload received by employees and determine the number of employee needs based on their workload. The results of this study indicate that there is an uneven workload at one work station, where from the results of calculations using the FTE method it is known that the workload of employees 1 and 2 is classified as overload and employees 3, 4, 5, 6, 7, 8, 9, and 10 in the normal category. Based on the results of this study, the number of employees was increased, namely 2 people. So the optimal number of employees is 12 people. Another suggestion is for employees who experience an overloaded workload or an uneven workload at one work station, then some of the job descriptions for employees who have an overloaded workload are given to employees who have a normal workload.
Machine Maintenance Planning Using the Reliability Centered Maintenance (RCM) Method at PT Perkebunan Nusantara XIV Camming Sugar Factory in Bone Regency Sulkifli, Sulkifli; Lantara, Dirgahayu; Hafid, Muhammad Fachry; Mahendra, Kresna Adi
Journal of Sustainability Industrial Engineering and Management System Vol. 1 No. 1 (2022): July - December
Publisher : Omnia Tempus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56953/jsiems.v1i1.9

Abstract

Purpose: Frequent damage to the mill roll machine at the mill station and the absence of special attention to scheduling repairs, this research is expected to make scheduled maintenance intervals and maintenance strategies for mill roll machines at the mill station to reduce downtime and anticipate sudden downtime on the machine. Design/methodology/approach: This study uses the Reliability Centered Maintenance (RCM) method approach to create the most efficient maintenance program by eliminating unnecessary maintenance activities, reducing overhaul frequency, minimizing downtime, minimizing the risk of sudden failure, focusing maintenance on critical components, and improving component reliability. Findings: The results of this study show that there are two strategies used in mill roll machine maintenance, namely preventive maintenance, and corrective maintenance. Research limitations/implications: This study focuses on critical components that often experience damage to the mill roll machine, namely standard milk check, feeder roll, scrapper, and chute components, and does not consider the cost aspect. Practical implications: The results of this study provide input to the company's interval time scheduling and machine maintenance strategy. Originality/value: This research was conducted in the production department of the milling station at PT Perkebunan Nusantara XIV Camming Sugar Factory in Bone Regency, where the production results include white crystal sugar, blotong, and molasses. Research to analyze machine reliability, minimize downtime and propose maintenance schedules and SOPs for maintaining production machinery at Camming Sugar Factory.