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GROUP REPLACEMENT THEORY IN
OPERATIONS RESEARCH
Replacement of Items That Fail Suddenly / Completely




                                              Dr. Rajesh Timane
                                                      PhD, India
REPLACING IN GROUPS
   There are certain items which do not deteriorate but fail
    completely after certain amount of use. These kinds of failures
    are analysed by the method called as group replacement theory.




                                                                         http://www.rajeshtimane.com
    Here, large numbers of items are failing at their average life
    expectancy. This kind of items may not have maintenance costs
    as such but they fail suddenly without any prior warning. Also, in
    case of sudden breakdowns immediate replacement may not be
    available.
EXAMPLES
   It should be noted that, group replacement does involve periodic
    simultaneous replacements along with individual replacements in
    between.




                                                                       http://www.rajeshtimane.com
   Few examples are fluorescent tubes, light bulbs, electronic
    chips, fuse etc.
WHY REPLACE IN GROUP
   It is found that replacing these random failing items
    simultaneously at specific intervals is economical as compared to
    replacing them only when an item fails. A long period between




                                                                        http://www.rajeshtimane.com
    group replacements results in increase in cost of individual
    replacements, while frequent group replacements are definitely
    costly. There lies the need to balance this and find an optimum
    replacement time for optimum cost of replacement.
ILLUSTRATION
   A factory has 1000 bulbs installed. Cost of individual replacement
    is Rs. 3/- while that of group replacement Re. 1/-per bulb
    respectively. It is decided to replace all the bulbs simultaneously




                                                                              http://www.rajeshtimane.com
    at fixed interval & also to replace the individual bulbs that fail in
    between. Determine optimal replacement policy. Failure
    probabilities are as given below:

    Month                     1          2          3         4        5

    Monthly Failures (%)     10          25         50       80      100




    Find complete solution and full article at:
    http://www.rajeshtimane.com/359/academics/group-replacement-theory.html
THANK YOU !

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Group Replacement Theory in Operations Research

  • 1. GROUP REPLACEMENT THEORY IN OPERATIONS RESEARCH Replacement of Items That Fail Suddenly / Completely Dr. Rajesh Timane PhD, India
  • 2. REPLACING IN GROUPS  There are certain items which do not deteriorate but fail completely after certain amount of use. These kinds of failures are analysed by the method called as group replacement theory. http://www.rajeshtimane.com Here, large numbers of items are failing at their average life expectancy. This kind of items may not have maintenance costs as such but they fail suddenly without any prior warning. Also, in case of sudden breakdowns immediate replacement may not be available.
  • 3. EXAMPLES  It should be noted that, group replacement does involve periodic simultaneous replacements along with individual replacements in between. http://www.rajeshtimane.com  Few examples are fluorescent tubes, light bulbs, electronic chips, fuse etc.
  • 4. WHY REPLACE IN GROUP  It is found that replacing these random failing items simultaneously at specific intervals is economical as compared to replacing them only when an item fails. A long period between http://www.rajeshtimane.com group replacements results in increase in cost of individual replacements, while frequent group replacements are definitely costly. There lies the need to balance this and find an optimum replacement time for optimum cost of replacement.
  • 5. ILLUSTRATION  A factory has 1000 bulbs installed. Cost of individual replacement is Rs. 3/- while that of group replacement Re. 1/-per bulb respectively. It is decided to replace all the bulbs simultaneously http://www.rajeshtimane.com at fixed interval & also to replace the individual bulbs that fail in between. Determine optimal replacement policy. Failure probabilities are as given below: Month 1 2 3 4 5 Monthly Failures (%) 10 25 50 80 100 Find complete solution and full article at: http://www.rajeshtimane.com/359/academics/group-replacement-theory.html