Predictive Maintenance Essay

Added on - 21 Jul 2020

  • 16

    pages

  • 5281

    words

  • 11

    views

  • 0

    downloads

Showing pages 1 to 4 of 16 pages
PREDICTIVE MAINTENANCE
Table of ContentsCHAPTER 1: INTRODUCTION....................................................................................................1Background of the study.............................................................................................................1Aim.............................................................................................................................................1Objectives....................................................................................................................................1Research questions......................................................................................................................2Scope of the study.......................................................................................................................2Research methods........................................................................................................................2Data Analysis..............................................................................................................................3Resource requirement..................................................................................................................3CHAPTER 2: LITERATURE REVIEW.........................................................................................4Introduction.................................................................................................................................4Literature Review........................................................................................................................4CHAPTER 3: RESEARCH METHODOLOGY.............................................................................8Introduction.................................................................................................................................8Research philosophy...................................................................................................................8Research design...........................................................................................................................8Research Approach.....................................................................................................................9Methods of data collection..........................................................................................................9Sampling framework...................................................................................................................9Data Analysis..............................................................................................................................9Reliability and validity..............................................................................................................10Ethical consideration.................................................................................................................10REFERENCES..............................................................................................................................11
CHAPTER 1: INTRODUCTIONBackground of the studyPredictive maintenance (PdM) is one of the major tool that is used by organizations tomonitor condition of equipments. This technique identifies occurring problems in machines bylooking upon their symptoms. Main goal of predictive management is to keep frequency ofmaintenance performed low so that unplanned breakdown can be minimized. In the moderncompetitive era companies have facing huge competition so for sustaining in the market forlonger duration they have to be prepared all time. Poor maintenance strategies can harm theoverall production capacity of entity (Ye and et.al, 2013). PdM is the great tool that can supportentities in maintaining standard and reducing failure risk of equipments and machines. Thistechnique help in maximizing useful life of machines and avoiding risk of unplanned downtime.It is one of the beneficial tool for manufacturing firm because by this way they can save theircost and can enhance their profitability. It analyses the data related to equipment sand predictwhen it will require repairing or maintenance. Once problems has been analysed then managerrepair he parts before they needed repairing so that unnecessary issues can be minimized (Fowlerand et.al, 2013).Present dissertationis based on Finning company which is world's largest caterpillardealer. It offers parts, engines, equipments to industries like mining, construction etc (DefiningPreventive & Predictive Maintenance, 2017). It is proudly providing exceptional services toservice users in vast market. Current study will develop understanding about implementation ofpredictive maintenance in current maintenance system (Danyluk and Provost, 2014). It willdescribe the concept of predictive maintenance in the Finning. Impact of PdM on the Finningwill be illustrated in this dissertation. Furthermore, It will analysis current maintenance system oforganization.AimTo understand implementation of predictive maintenance in current maintenance system: Acase study of Finning”.ObjectivesTo understand the concept of predictive maintenance (PdM).To identify impact of PdM on the Finning.To analysis current maintenance system of Finning.1
To determine the ways of implementation a predictive maintenance strategy forimproving current maintenance system of the organization.Research questionsExplain the concept of predictive maintenance (PdM)?How implementation of PdM impact on the Finning.What is the current maintenance level of machines and parts in the Finning.What are the ways of implementing predictive maintenance strategy for improvingcurrent maintenance system of the organization.Scope of the studyPresent study on implementation of predictive maintenance in current maintenancesystem very effective. Now-s-days companies are facing the problems of poor maintenance thatcauses unplanned downtimes and harm production capacity of the machines (Del Rincon andet.al, 2013). This critical situation has become problematic for the big organizations and they arerequired to maximize useful life of parts which are at high risk. By addressing their problemsbefore time companies can enhance life of machines and can make effective control over cost.PdM can resolve this problem of entities and can support in maximizing useful life ofequipments (Defining Preventive & Predictive Maintenance, 2017).It will be beneficial for the entities in reducing sudden failure of machines and by thisway life of equipments will be maximized (Nurjono and Lee, 2013). By identifying impact ofpredictive maintenance entire industry will be able to enhance life their machines and they willbe able to get high profit. It will support in addressing problem and reduce these issues beforethey need repairing so that production or manufacturing do not get stopped at any movement(Defining Preventive & Predictive Maintenance, 2017).Research methodsResearch methodology is one of the essential part of dissertation that supports ingathering in-depth information about the subject matter and getting optimistic results related tosubject matter. In the present study individual will take support of descriptive research design.Through questionnaire individual will be able to describe predictive maintenance systemeffectively (Pouliezos and Stavrakakis, 2013). Furthermore, researcher will use interpretivismphilosophy that would support in gathering deep details about research topic. It is qualitativeresearch thus, scholar will use inductive approach that would be the best suitable for the present2
desklib-logo
You’re reading a preview
card-image

To View Complete Document

Become a Desklib Library Member.
Subscribe to our plans

Download This Document