System Dynamics is a methodology for analyzing complex  systems   and  problems   with  the  aid  of computer modeling and simulation software. it  was formulated  by  Jay Forrester in  the 1960s at  M.I.T. he   was  a   professor  in  M.I.T.'s  Sloan   School of Management,    and    became    interested    in   the complexity of   business   management  and   other factors  affecting  business  either to succeed or  to fail.  
   He   concluded    that   the    people   are  not    well prepared   when   dealing   with complex systems in which  many  factors  influence outcome results, the success  of  many  business may  depend upon the employees,   consumers,   location,   transportation, communication  and   the   economy,  also  it    could depend upon  unexpected events  such as unstable weather    conditions   in  agricultural   products  and fluctuation  of  the  power  supply  in  food  industry.
     Forster noticed that the people usually are able to identify  one  or  two factors and assumed that those are  the  responsible  for  the results achieved or the problem  arose, because  of   that    they  implement simple  polices  for  solving  a problem  or  reaching their  goal,  and  very  often  those polices  have  the  opposite  effect   desired,   the   problem    becomes worse, the  business  fails,  and  so  on.
   
     A primary reason for this is policy resistance, namely other   people  or   influences   in     the    system  act   to counteract   the   simple   changes   instituted   and   the intended   results. One good example is,  lowering   the price of   goods does not  necessarily   increase  sales  for   a     certain     business,       because       competing businesses   lower   their   own   prices   in   response.
   Forster created the System Dynamics methodology to aid    in     improving     decision     making    and    policy planning, an approach for analyzing complex  systems   to  include  all   the   relevant  factor-effect relationships, and   more   important,    time    delays    and   feedback  loops  in   those  systems   which account  for  most of   their   unexpected      behavior,    he  originally    applied  System     Dynamics     to   modeling     and      problem  solving  in    industrial    sectors   then    gradually,     he  applied  it  to social issues such as economics,  crime  and   health  then   later to  the physical and  biological   sciences   such   as   ecology.  
     The evolution and rapid progress of microcomputers late 1970s   and   in   the   early   1980s. made   System Dynamics modeling   possible  for   the  majority of   the people   with the help of an inexpensive microcomputer instead  of a limited  users most   of  them belonging to Universities and   Research   Centers  depending upon expensive   Mainframes.


Computer Simulation and Modeling became a fact and can be published, Application of System Dynamics modeling started to wide spread and to cover other varieties  of academic subjects including Biology, Economics, Ecology, Health  and  Medical Sciences, Mathematics,  Physics, Psychology. During past few years  more powerful System Dynamics Modeling and Simulation Software were created  and  developed, they  are working  under both Windows and Macintosh Platforms.


 

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