Operations Research, Systems Engineering and Industrial Engineering Commons^™

A Multi-Criteria Ranking System For Prioritizing Maintenance Of Levee Systems In Arkansas, Nguyen Danh Phan

Graduate Theses and Dissertations

There are 208,009 properties in Arkansas that have more than a 26% chance of being severely affected by flooding over the next 30 years, which represents 13% of all properties in the state. A levee system is designed to reduce the flooding risk for urban and rural communities; however, most of the state's levees have been significantly outdated or built with engineering standards less rigorous than current best practices. The Levee Safety Action Classification (LSAC), as recorded in the National Levee Database (NLD), communicates the risk associated with living behind a particular levee and assists local, state, and federal stakeholders …

Assessing Readiness For Implementation Of Prognostics And Health Management In Small And Medium Enterprises, Sara C. Fuller

Theses and Dissertations

Prognostics and Health Management (PHM) refers to using robust sensing, monitoring, and control to detect, assess, and track system health degradation and failure modes, allowing for enhanced management and operational decisions. The need for PHM within a manufacturing facility has increased due to a variety of reasons, such as the increasing complexity of manufacturing equipment.

A lack of readiness for digital implementations is linked to failure. The literature highlights certain barriers and enablers that can signal whether a technology implementation will be successful, such as management and maintenance employees’ desire to change the existing process, an understanding and willingness to …

Study On New Sampling Plans And Optimal Integration With Proactive Maintenance In Production Systems, Sinan Obaidat

Graduate Theses and Dissertations

Sampling plans are statistical process control (SPC) tools used mainly in production processes. They are employed to control processes by monitoring the quality of produced products and alerting for necessary adjustments or maintenance. Sampling is used when an undesirable change (shift) in a process is unobservable and needs time to discover. Basically, the shift occurs when an assignable cause affects the process. Wrong setups, defective raw materials, degraded components are examples of assignable causes. The assignable cause causes a variable (or attribute) quality characteristic to shift from the desired state to an undesired state.

The main concern of sampling is …

Maintenance Isn’T Just About Grease, Jim Burgin

Operations Management Presentations

Document maintenance is becoming a bit of a challenge. Slowly, but surely, business leaders are realizing that maintenance isn’t just a “necessary evil” but a competitive advantage that can help differentiate their company from others in the same industry. Maintenance is a broad concept, and this webinar is just to get you thinking about maintenance in a different way. Because of the “necessary evil” concept, professional maintenance resources are rare.

Maintenance costs real money. Depending on the size of the operation, labor, contractors, and material costs can be significant. While that seems like a lot of money, consider the costs …

Developing Leading And Lagging Indicators To Enhance Equipment Reliability In A Lean System, Dhanush Agara Mallesh

Masters Theses

With increasing complexity in equipment, the failure rates are becoming a critical metric due to the unplanned maintenance in a production environment. Unplanned maintenance in manufacturing process is created issues with downtimes and decreasing the reliability of equipment. Failures in equipment have resulted in the loss of revenue to organizations encouraging maintenance practitioners to analyze ways to change unplanned to planned maintenance. Efficient failure prediction models are being developed to learn about the failures in advance. With this information, failures predicted can reduce the downtimes in the system and improve the throughput.

The goal of this thesis is to predict …

Modelling Supercomputer Maintenance Interrupts: Maintenance Policy Recommendations, Jagadish Cherukuri

Masters Theses

A supercomputer is a repairable system with large number of compute nodes interconnected to work in harmony to achieve superior computational performance. Reliability of such a complex system depends on an effective maintenance strategy that involves both emergency and preventive maintenance. This thesis analyzes the maintenance records of four supercomputers operational at The National Institute of Computational Science located at Oak Ridge National Laboratory. We propose to use the generalized proportional intensities model (GPIM) to model the maintenance interrupts as it can capture both the reliability parameters and maintenance parameters and allows the inclusion of both emergency and preventive maintenance. …

Emergency Diesel-Electric Generator Set Maintenance And Test Periodicity, Stephen John Fehr

Engineering Management & Systems Engineering Theses & Dissertations

Manufacturer and industry recommendations vary considerably for maintenance and tests of emergency diesel-electric generator sets supporting critical operations power systems facilities. There is little consistency among sets of similar technology, and manufacturers and their representatives often provide contradictory guidance. As a result, periodicity of emergency diesel-electric generator set maintenance and tests varies considerably in practice. This work proposes and tests a research and analysis framework to develop parametric regression survival models of modern diesel-electric generator sets in emergency standby duty as a function of maintenance periodicity, test periodicity, and other predictors. Within this framework, predictors are developed from common maintenance …

Modeling Preventive Maintenance In Complex Systems, Jessica Rivas

Open Access Theses

This thesis presents an explicit consideration of the impacts of modeling decisions on the resulting maintenance planning. Incomplete data is common in maintenance planning, but is rarely considered explicitly. Robust optimization aims to minimize the impact of uncertainty--here, in contrast, I show how its impact can be explicitly quantified. Doing so allows decision makers to determine whether it is worthwhile to invest in reducing uncertainty about the system or the effect of maintenance. The thesis consists of two parts. Part I uses a case study to show how incomplete data arises and how the data can be used to derive …

Maintenance Service Request Process Optimization For The Cliffs Resort At Shell Beach, John Birch

Industrial and Manufacturing Engineering

This process optimization project utilizes a new idea to have an Access 2007 database automatically send a text message to a given cellular telephone. The hotel’s maintenance service request process is outdated and inefficient, relying solely on paper and human memory for success. Initiation, tracking, and recording the maintenance service requests need to be automated to optimize this process. The solution is a working database which employs said automation using Access 2007 in combination with a separate program created to facilitate the automatic text messaging. Implementing this database will result in higher customer satisfaction for the hotel.

'Transfer Effect Study Of A Virtual Borescope In Training Aircraft Maintenance Technicians', Melissa Dorlette Paul

All Theses

The Federal Aviation Administration (FAA) has acknowledged training as an important tactic to improve the trustworthiness of inspection. This study was conducted to test the transfer of the skills learned with a simulator into the real world. For this purpose, data from seventeen students in the AMT program of Greenville Technical College was analyzed. Objective data was taken to assess the group's performance on the simulator after each session of training. The comparison between two groups was made using objective data, collected while the subjects went through a test on a real engine and using the real borescope, and subjective …

The Optimization Of The Threshold For The Preventive Maintenance Actions In A Condition-Based Maintenance Program Via Dynamic Programming Approach, Kamran Shahanaghi, Mehdi Jafarian, Majid Beikverdi, Zeinab Nezhadbiglari

Mehdi Jafarian

The last step of a condition based maintenance (CBM) program is maintenance decision-making. This step is the most important and the most critical stage of maintenance for executive personnel and management whom work on taking maintenance actions. This decision making would be done according to certain criteria such as risk, cost, reliability and availability. This paper considered a dynamic programming model to optimization of the threshold for the preventive maintenance actions in a condition-based maintenance program. The basis of this modeling is the average cost of maintenance actions, failures and exchanges. In this paper, we improved the memory of the …

Optimization Models For The Economic And Non-Economic Level Of Repair Analysis, Carlos Marco Ituarte-Villarreal

Open Access Theses & Dissertations

Every component, equipment or system will eventually fail. All failures produce a maintenance cost and, repair costs are especially hard to estimate ahead of time. Research shows that maintenance costs are the most substantial costs of development and use of equipment, reason why the cost of the product or equipment through its life is a major concern. Therefore, the main objective of this thesis is to provide a new optimization model to determine the minimum cost maintenance policy for complex systems.

Ranking Maintenance Strategies From The Point Of View Of Lean Thinking: Group Decision Making Model By Using Borda Method, Mehdi Jafarian, Kamran Shahanaghi, Aliakbar Faegh, Majid Samsami

Mehdi Jafarian

The selection of maintenance strategies is a typical multiple criteria decision-making (MCDM) problem. There have been taken different maintenance strategies in order to obtaining optimistic maintenance strategy. In this paper we aim to rank different maintenance strategies from the point of view of lean thinking. After obtaining information from experts whose expertness is in field of maintenance, in order to ranking these strategies we form a group decision making model and solve this model by using Borda method. Finally we analyze its results

An Introduction To Maintenance, Kamran Shahanaghi, Mehdi Jafarian

Mehdi Jafarian

در فضای رقابتی امروز، بنگاه‏های اقتصادی در تلاشی مستمر برای دستیابی به کیفیت بالا، هزینه پایین، افزایش سرعت در ارائه کالا و خدمات و ... می‏باشند. بنابراین دستیابی به اهداف فوق را می‏توان در زمره مهمترین دغدغه‏های مدیران امروزی قلمداد نمود. نگهداری و تعمیرات نیز به عنوان یکی از مهمترین فرآیندهای یک بنگاه اقتصادی از این قاعده مستثنا نبوده و در زیر ذره بین مدیران و کارشناسان قرار گرفته است. در این مقاله سعی نویسندگان بر این بوده است تا برخی از مهمترین جنبه‏های پژوهشی مطرح در این حوزه را عنوان نمایند.

Optimization Models For The Single Machine Scheduling Problem With A Single Flexible Maintenance Activity And Stochastic Maintenance Activities Time, Kamran Shahanaghi, Azizolah Jafari, Mehdi Jafarian, Hamid Babaei, Hojat Mehrazmay, Majid Beikverdi, Ahmad Yazdian

Mehdi Jafarian

In this paper, modeling and solving of a single machine scheduling problem with a single flexible maintenance activity and stochastic maintenance activities time was considered. Also it assumes that the all activities are resumable. Chen solved and investigate complexity of this problem without probabilistic condition by Mixed binary integer programming (BIP) so we solving this problem with considering stochastic programming concepts. An example has investigated at the end chapter to show actual consequences by Lingo.

The Optimization Of The Threshold For The Preventive Maintenance Actions In A Condition-Based Maintenance Program Via Dynamic Programming Approach, Mehdi Jafarian, Majid Beikverdi, Kamran Shahanaghi, Zeinab Nezhadbiglari

Mehdi Jafarian

The last step of a condition based maintenance (CBM) program is maintenance decision-making. This step is the most important and the most critical stage of maintenance for executive personnel and management whom work on taking maintenance actions. This decision making would be done according to certain criteria such as risk, cost, reliability and availability. This paper considered a dynamic programming model to optimization of the threshold for the preventive maintenance actions in a condition-based maintenance program. The basis of this modeling is the average cost of maintenance actions, failures and exchanges. In this paper, we improved the memory of the …

Cbm With Economic Decision Making: A New Modelling By Markov Chain, Kamran Shahanaghi, Mehdi Jafarian

Mehdi Jafarian

فعالیت های نگهداری و تعمیرات در هر بنگاه اقتصادی از یک سو سبب کاهش هزینه های ناشی از عدم فعالیت دستگاه ها، هزینه های تعمیرات و سود از دست رفته، شده و از سوی دیگر به عنوان فعالیتی هزینه بر، هزینه های گاها سنگینی را به سازمان وارد می¬سازد. از این رو توسعه سیاست های نگهداری و تعمیرات و بهینه سازی هر یک از این سیاست ها، عاملی مهم در کاهش هزینه های سازمان خواهد بود. در این میان فرآیند نگهداری و تعمیرات مبتنی بر شرایط، به عنوان یکی از کاراترین سیاست¬های نگهداری و تعمیرات، با حذف فعالیت های نگهداری …

Lubricating Oils, George Albert Sherman

Student and Lippitt Prize essays

This essay reviews the elements that would make a lubricating oil effective in preventing wear on an object or machine.