Identification of maintenance improvement potential using OEE assessment

Abstract

Purpose The purpose of this paper is to identify maintenance improvement potentials using an overall equipment effectiveness (OEE) assessment within the manufacturing industry. Design/methodology/approach The paper assesses empirical OEE data gathered from 98 Swedish companies between 2006 and 2012. Further analysis using Monte-Carlo simulations were performed in order to study how each OEE component impacts the overall OEE. Findings The paper quantifies the various equipment losses in OEE, as well as the factors availability, utilization, speed, quality, and planned stop time. From the empirical findings, operational efficiency losses are found to have the largest impact on OEE followed by availability losses. Based on the results, improvement potentials and future trends for maintenance are identified, including a systems view and an extended scope of maintenance. Originality/value The paper provides detailed insights about the state of equipment effectiveness in terms of OEE in the manufacturing industry. Further, the results show how individual OEE components impact overall productivity and efficiency of the production system. This paper contributes with the identification of improvement potentials that are necessary for both practitioners and academics to understand the new direction in which maintenance needs to move. The authors argue for a service-oriented organization.

Sustainable Overall Throughputability Effectiveness (S.O.T.E.) as a Metric for Production Systems

“…This confirms that environmental improvements in individual equipment do not necessarily impact in the same way at the plant level. In the same way, according to Ylipää et al [4], not every variation in equipment effectiveness may cause the same effects on the system's throughput. This brings us to the second part of this study: how we will be able to know, through a sensitivity analysis, the impact that the individual environmental performances cause at the plant or system level.…”

“…Although the basis for the measurement is derived from the OEE proposed by Nakajima [1], its use has been adapted to serve specific industrial sectors. Because of that, the term OEE has been modified for other different terms: for example, overall factory effectiveness (OFE) [7], overall plant effectiveness (OPE) [8], overall throughput effectiveness (OTE) [4], production equipment effectiveness (PEE) [6], overall asset effectiveness (OAE) [8], and total equipment effectiveness performance (TEEP) [9]. Nevertheless, despite its wide use and success, OEE does not provide a global vision at the production system level, nor lessen the impact of specific equipment on overall performance.…”

“…However, one of the biggest deficiencies detected in the use of the OEE is that this indicator is focused on each of the teams individually and does not take into account the configurations and relationships between each piece the equipment. The only effort to evaluate how the individual OEE (component level) affected the overall OEE (plant level) was reported by Ylipaa et al [4]. They performed a series of Monte Carlo simulations trying to find out what was the relative importance of each factor of the OEE.…”

The Machines Operation Effectiveness Analysis in Polish industry enterprise

“…This group includes geo-textiles, geotextiles and geeks. Geotextile (GTX-W), according to [3], is a textile product made of two (or more) systems of yarns, continuous fibers, tapes or other elements, usually interlaced at right angles, made with a classic weaving technique (warp has the longitudinal direction to the length of the fabric, the thread is made of threads perpendicular to the warp) [11,12].…”

Application of OEE Coefficient for Manufacturing Lines Reliability Improvement

“…OEE is used to measure the reliability of equipment based on three important metrics: Availability (A), Performance (P) and Quality (Q) [13]. The value of OEE is used to draw conclusions about the causes of decreased reliability of a production line as well as to formulate preventive measures [14][15]. OEE has a numerical value, which is not only a benchmark for controlling and monitoring the performance of production equipment, but also an indicator that determines the direction of qualitative changes in the production system and changes targeted at increasing efficiency [16].…”