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       Proceedings of the 9  Symposium on Applied Science, Business & Industrial Research – 2017
       ISSN 2279-1558, ISBN 978-955-7442-09-9

            Study on Factors Affecting to Machine Overall Equipment Efficiency

                                         Jayalath JMPD, Francisco GS
                          Department of Mathematical Sciences, Wayamba University of Sri Lanka
                                           prasadikajayalath@gmail.com
                                                 ABSTRACT


           The  purpose  of  this  study  is  to  evaluate  the  Overall  Equipment  Efficiency  (OEE)
       initiatives  towards  improving  manufacturing  performance  in  cable  manufacturing
       industry. The organizational context of the study was Orange Electricals, Meegoda. The
       research  was  focused  upon  the  significant  contributions  of  OEE  implementation  success
       factors. There were five criteria mainly focused in this study such as start-up loss, setup
       and adjustment loss, minor and idling loss, machine breakdown loss and shout down loss.
       Comprehensive  review  of  literature  was  incorporated  on  this  topic.  Data  were  collected
       through  production  log  sheets.  Data  were  statistically  analyzed  using  correlation  and
       multiple regression analysis using SPSS Statistics 17.0 software. According to the analysis
       output it can be concluded that start-up loss, setup and adjustment loss, minor and idling
       loss, machine break down loss as significant factors. Since the highly impacted factor was
       minor and idling loss, launching training and awareness programs and the introduction of
       autonomation instead of automation were identified as appropriate solutions. By avoiding
       these  losses,  the  manufacturing  process  can  be  improved  since  these  are  high  time
       consuming activities.

       KEYWORDS: Loss, Overall equipment efficiency, Regression analysis


                                                         factors  that  impact  on  the  success  of  OEE
                  1 INTRODUCTION
                                                         and  reducing  existing  machine  breakdown
                                                         hours.
          Orel  power  possesses  a  rich  legacy  of
       entrepreneurship  and  innovation  harking                      2 LITERATURE
       back three generations.  Orel Corporation is
       one  of  the  leading  electronic  components         The  aim  of  this  was  on  critically
       manufacture  in  Sri  Lanka.  This  study  was    evaluating the different methodologies used
       related  to  Orange  Electricals  at  Meegoda.    in  this  field.  There  are  limited  empirical
       Orel Corporation has a rich history of three      studies which have been done in this area.
       generations starts from 1929. It started with     2.1 Implementation of OEE
       entrepreneurial  idea  of  Mr.  Somapala
       Kodithuwakku.                                          The  OEE  came  from  the  total
                                                         productive maintenance (TPM) strategy. To
          The  company's  export  markets  are           ensure  manufacturing  organizations  remain
       Australia, Austria, Malaysia, Singapore, The      competitive,  most  of  them  are  turning  to
       UK,  Bangladesh,  Pakistan,  The  Maldives,       TPM  and  lean  manufacturing  to  ensure
       Ghana,  Nigeria,  Jamaica,  Hong  Kong,           seamless operations. OEE is the foundation
       Dubai,  Nepal  and  Cyprus.  It  is  noted  that,   of  these  two  business  improvement
       company  has  allocated  more  cost  towards      strategies as it tackles the underlying losses
       the cable manufacturing.                          (down  times)  that  prevent  equipment

          Production  floor  is  the  huge  operation    efficiency.  (Aminuddin,  Garza,  Kumar  ,  &
       center  in  cable  manufacturing  plant.  OEE     Rocha , 2016).
       has  recently  implemented  to  calculated            The management should be able to look
       actual  working  hours  and  loss  hours.  This   for  relevant  production  data  and  to
       research  focuses  on  investigating  main        accurately  interpret  these  data  in  order  to



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