Equipment Effectiveness Indicator Research Articles

Proposal for application of overall equipment effectiveness indicator in a hot sauce company

The use of indicators within companies is highly relevant to help manage their processes. Particularly for equipment and machinery, the indicator of overall equipment efficiency (OEE) is commonly used with the objective of measuring equipment inefficiency and identify losses. This helps to foster an environment of continuous improvement that leads to increased productivity. During this investigation, an adapted methodology is used, which highlights the use of lean manufacturing techniques, from which our OEE metric is derived. The purpose is to know the efficiency of the equipment in order to take actions that help reduce the waste presented in a production line of a hot sauce company. This article will contribute to the promotion of the use of new tools that lead to continuous improvement, since our intention is to simplify the way the company visualizes its problems, which will lead to finding solutions in a faster and more objective way.

Overall Labor Effectiveness as a Tool for Measuring Performance in a Given Company

To remain competitive, a company needs to increase the productivity of its production equipment, which can be monitored using the Overall Equipment Effectiveness indicator. The article aims to describe the modification of the Overall Equipment Effectiveness indicator into the indicator of Overall Labor Effectiveness in a given company. The advantage of this indicator is that it monitors not only the use of the employee's labor pool but also the actual costs spent on the product. In addition to that, the impact of the introduction of this indicator on the economic performance of a given company is analyzed. To do so, four periods before and four periods after the introduction of the Overall Labor Effectiveness indicator were analyzed using four selected financial ratios. The value of the Overall Labor Effectiveness indicator is currently in the range of excellent values, i.e. the firm uses production time very efficiently. The results of the analyzed financial ratios show that the introduction of the Overall Labor Effectiveness indicator increased the performance of the given company.

Assessment of overall equipment effectiveness according to OEE methodology

The article discusses the Overall Equipment Effectiveness indicator, the parameters of which are Availability, Performance and Quality are random variables. Mathematical models are described for calculating the probability density of a random value of Overall Equipment Effectiveness, which characterizes the efficiency of equipment use. The relevance of the study is due to the relevance of methods for assessing the effectiveness of equipment and improving production processes in industrial enterprises.

Benchmarking operational efficiency of port terminals using the OEE indicator

The operational data of port terminals is often evaluated by operators and scholars, with the purposes of finding characteristics that lead to superior performance, or identifying the most efficient terminal in a sample. However, most authors and analysts use methodologies that do not allow distinguishing between manageable and unmanageable (exogenous) factors, thus often leading to ambiguous results and making the definition of targets a difficult task. This article proposes a methodology to overcome this limitation, based on the breakdown of the high-level Overall Equipment Effectiveness indicator into a set of indicators, each addressing either manageable or unmanageable factors. Based on this set it is possible to define achievable efficiency targets for each terminal, considering the unique constraints affecting each one.

Bi-Objective Multiple Criteria Data Envelopment Analysis combined with the Overall Equipment Effectiveness: An application in an automotive company

The mass production companies need to seek high efficiency in the use of equipment and human resources, as well as in the consumption of their inputs. One of the key methods to address these challenges is the adoption of Overall Equipment Effectiveness, derived from Total Productive Maintenance. This work aims to propose a new efficiency indicator, called Overall Machinery Effectiveness, to be applied in an automotive company in Brazil that adopted Overall Equipment Effectiveness indicator. The studied company made available production data from ten months, associated to two Press machines, generating twenty Decision Making Units for Data Envelopment Analysis and Bi-Objective Multiple Criteria Data Envelopment Analysis models application. As results, Press #2 was identified as being the most critical because, among the first ten DMUs in the efficiency ranking, seven are associated to Press #1. The targets values recommended by the new indicator were considered feasible to be implemented by the company, thus validating in practice the new proposed procedure for the management of machines effectiveness. Moreover, the identification of the relevant variables (input and output) for the Press #1, and Press #2, allowed the decision maker to act in the best way to increase their efficiency.

A Production Scheduling Model with Maintenance

In the paper, a production model with maintenance is presented. Successive failure-free times of a bottleneck are supposed to have predefined distributions and are followed by distributed times of repair. Having values of parameters: Mean Time To Failure and Mean Time of Repair, a predictive schedule is generated. To assess wastes due to unplanned events of the bottleneck, such as unplanned downtime the Overall Equipment Effectiveness indicator is applied. To assess failure rate of the bottleneck the Parts Per Million Opportunities indicator is applied. Prediction capability, detection capability of a failure and effects of the failure occurrence are evaluated and registered in the Exploitation Failure Mode and Effects Analysis form. The objective of the presented predictive scheduling model is to achieve: zero machines failures, zero defects, zero accidents at work.

Towards an extended set of production line performance indicators

The scope of this research is the performance measurement of mixed production and packaging lines. The main purpose of this paper is to design an original extended approach to line performance measurement, which will improve the traditional model of calculating the effectiveness by using the overall equipment effectiveness indicator. Real-life data study is an important part of this paper, used to test and confirm in practice the appropriateness of employing the designed approach on the line for the production and packaging of cigarettes. The findings show that it is justified to use an extended set of metrics for measuring the performances of technological lines so that all performances can be measured more comprehensively, continuously and in real time. The proposed framework is a contribution to a more comprehensive diagnostic picture of line performances and it can be a good support for continuous improvements of a technological process in focus.

What is the impact of sustainable development on the re-localisation of manufacturing enterprises?

Rendering the supply chain more eco-friendly is an innovative idea progressively adopted by industry. Our research focuses on the CO2 equivalent emissions along the supply chain due to freight energy use and storage. A supply chain model based on discrete event simulation was developed. The model uses reorder point production management policy (ROP) within a make to stock (MTS) demand response strategy. Manufacturing capability is also taken into account using an overall equipment effectiveness indicator (OEE). In addition, the location of the firms and their types of products are modelled. The purpose is to compare supply chain CO2 equivalent emissions of different configurations. This method is applied to two industrial cases: Carrier (UTC group), a large cooler manufacturer and Zannier group, a textile industry. The principle objective of the study is to conduct pertinent experiments to give green guidelines to Carrier and Zannier group.