Novel availability and performance ratio for internal transportation and manufacturing processes in job shop company

Abstract

Purpose: Purpose of this study includes the quantification of the impact of transportation efficiency onto the workstations the transportation serves in term of throughput and total lead time elapsed by product. Besides, it aims to synchronize the capacity available among workstations throughout a production line by studying the upper limit of throughput could be afforded by each workstation as well as their connection with each other. This study is also done on the purpose of promoting fulfillment of customer demand at shorter delivery time and minimal equipment utilization. Investigation on implementation of Overall Equipment Effectiveness (OEE) in an aerospace part-manufacturing company is studied to track out the potential opportunities to be improved.Design/methodology/approach: Site observation is conducted on all the five manufacturing workstations in the aforementioned aerospace part manufacturing company. Time data of both automated processes and manual processes are collected and they are used to construct simulation model. From that, various scenarios of transportation efficiency are simulated in Experiment 1. In addition, Experiment 2 is also set to examine the maximum capacity of each workstation. All of these are to highlight the relationship between workstation and processes and to verify the condition of imbalanced capacity among workstations in the company. In short, this has necessitated the integration of workstation and transportation activities within the company. These are followed by proposal of measures to quantify the wastes identified.Findings: The paper finds that implementation of OEE alone does not consider the reasonability of customer demand fulfillment. The results show that both transportation efficiency and imbalanced capacity throughout production system are not emphasized by OEE implementation in the case company. Therefore, responsibility of all workstations and transportation process in delivering demand on time are quantified. Transportation process which serves as the connectors of manufacturing processes is quantified and monitored by proposed Transportation Measure (TM) whereas workstations are measured using novel availability and performance ratio.Research limitations/implications: Future research should be conducted to examine the impact of other station within a company such as warehouse and logistic department to the performance of equipment and materials in manufacturing workstation. Besides, the material availability as well as the skills or performance of man power could be further incorporated into the measures to consider all the entities involved in manufacturing processes.Practical implications: The proposed availability and performance ratio for both transportation and manufacturing processes, which are related to each other, help in promoting better effectiveness of production system in terms of production amount and lead time. Besides, reasonable utilization equipment and minimal consumption of material are incorporated in the measures to promote Lean way in fulfilling customer demand. The effectiveness of entire production line is examined as a unity with joint responsibility under varying transportation efficiency and cycle time of each workstation. Both measures could be implemented together to optimize the production system and quantify the hidden wastes which are neglected in the OEE implementation.Originality/value: The novel availability and performance ratio are proposed to consider customer demand, historical equipment utilization and Takt time of each workstation to examine the possibility and reasonability of demand fulfillment. This prevents both over-processing and overproduction issues which are invisible in OEE. Furthermore, delay propagation throughout production system and interrelationship between processes are quantified under transportation measure. Other novelty of the paper is that it monitors the waiting time and lead time spent in each workstation at the same time considering utilization of workstation. The proposed Transportation Measure (TM) aims to reduce the queue length and waiting time at destination workstation at minimal utilization of forklift. It also promotes less capacity investment in transportation and prioritizes its scheduling according to urgency of destination workstation.

Analisis Kerusakan Mesin Molen Genteng Mengggunakan Metode Overall Equipment Effectiveness (OEE)

“…OEE didefinisikan sebagai metrik atau ukuran untuk mengevaluasi efektivitas peralatan yang berupaya untuk mengidentifikasi kehilangan produksi dan kehilangan biaya lain yang tidak langsung dan tersembunyi dan memiliki kontribusi besar terhadap biaya total produksi [13]. Overall Equipment Effectiveness (OEE) merupakan metode yang dapat digunakan untuk mengukur efektivitas mesin yang didasarkan pada pengukuran tiga rasio utama, yaitu Availability ratio, Performance ratio, dan Quality ratio [14][15][16].…”

Improvement proposal to increase the production efficiency of garment with lean manufacturing tools for the textile sector in Lima

“…The 2 pillars of the TPM proposed for the bottleneck area were applied, that is, for the garment machines (straight and overlock) progressive training was made, autonomous maintenance was introduced with instructions for activities that can be carried out by the operators providing them with independence, list of resources necessary for maintenance, breakdown format and fault registration that allows us to reduce the breakdowns of the machines. The indicators of mean time to repair (MTTR) and mean time of failure (MTBF) are evaluated in the simulation software, proposes the author [25]. Therefore, availability increased by 5.99%.…”

Performance measurement based on machines data: Systematic literature review

“…In this context, the proposal for performance measurement has been taking place through the Overall Equipment Effectiveness (OEE), an analytical method used to measure the performance of equipment by proportionally measuring the ratio of its maximum capacity emphasising losses [57]. The focus of this application proposal is to produce with minimal losses [58][59][60][61][62].…”