International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 01 | Jan -2017
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e-ISSN: 2395 -0056 p-ISSN: 2395-0072
Overall Equipment Effectiveness in Construction Equipments Mr. Pratik Desai1,Prof. Milind Darade2,Prof. Pranay Khare3 1 M.E student, Dr. D.Y. Patil SOET Pune, Maharashtra, India Professor, Dept. of Civil Engineering, Dr. D.Y. Patil SOET Pune, Maharashtra, India 3Assistant Professor Dept. of Civil Engineering, Dr. D.Y. Patil SOET Pune, Maharashtra, India
2Assistant
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Abstract - This paper will review the goals and advantage
variety market, and another enterprise serves a low volume, high variety market. More transition will lower the OEE in correlation, but if the product is sold at a premium, there could be more margin with a lower OEE.
of implementing Total Productive Maintenance and it will also focusing on calculating the overall equipment effectiveness in construction equipments. In construction activities on a immense scale require the standard equipments for effective operations especially in the area of infrastructural development. This is the true picture of large construction companies whose physical lucrative activities lean on men, materials and sophisticated machineries that will produce output of operations during a particular period use. Therefore, the effectiveness of construction machineries is a major consideration that denuciates construction companies in terms of heavy construction and light construction. In the today’s period of agonizing global competition, construction industries are determined to progress and amend their productivity in order to remain competitive. Overall Equipment Effectiveness (OEE) of a machine plays a vital role where performance and characteristic of the product are of key relevance to the company. The OEE intended at minimizing the breakdowns, increasing performance and quality rate and thus improving the efficiency of the machine. The availability rate of the machine, performance rate of the machine and quality rate of the products are considered as parameters while escalating the Overall Equipment Effectiveness (OEE) of a management system. The objective of the work is to enhance the overall equipment effectiveness (OEE) at a construction company.
OEE measurement is also commonly used as a key performance indicator (KPI) in affiliation with lean manufacturing endeavor to provide an indicator of success. OEE can be illustrated by a brief discussion of the six metrics that constitute the system. The chain of command consists of two high-level measures and four basic level measures. Overall equipment effectiveness (OEE) and total effective equipment performance (TEEP) are two firmly linked metrics that report the overall application of facilities, time and material for manufacturing operations. These top view metrics directly indicate the gap between actual and ideal performance.
1.1 Background OEE breaks the performance of a manufacturing unit into three separate but measurable components: Availability, Performance, and Quality. Each basic points to the condition of the process that can be designed for improvement. OEE may be applied to any individual Work Centre, or rolled up to Department or Plant levels. This tool also allows for break down for very definite analysis, such as a particular Part Number, Shift, or any of several other parameters. It is unlikely that any manufacturing process can run at 100% OEE. Many companies benchmark their industry to set a challenging target; 85% is not uncommon.
Key Words: Maintenance, Overall Equipment Effectiveness, Availability, Quality Rate, Performance, TPM
1.0 INTRODUCTION
1.2 Status and necessity of OEE
Overall equipment effectiveness (OEE) is a term formulated by Seiichi Nakajima in the 1960s to evaluate how effectively a manufacturing operation is utilized. It is based on the Harrington Emerson way of thinking in regard to labor efficiency. The results are stated in a comprehensive form which allows comparison between manufacturing units in differing industries. It is not however an unconditional measure and is best used to identify opportunity for process performance improvement, and how to get the improvement. If for example the cycle time is reduced, the OEE will increase i.e. more product is made for less resource. Another case is if one company deliver a high volume, low
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By implementing a system that can measure and analyses OEE, manufacturers can boost equipment performance, operating measures, and maintenance processes. The following are six categories of productivity losses that are almost universally accomplished in manufacturing: 1. Breakdowns 2. Setup and Adjustments 3. Small Stops 4. Reduced Speed 5. Start-up Rejects 6. Production Rejects.
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