Page 25 -
P. 25

MANAGEMENT SCIENCE APPLICATIONS  5


                                      countries. This development was in part facilitated by the huge explosion in
                                      computing facilities and computer power. In the twenty-first-century management
                                      science techniques are now a standard part of popular computer software, such as
                                      Excel, and management science techniques are routinely taught across university
                                      business and management programmes. Many countries now have their own
                                      professional society for management scientists with the International Federation
                                      of Operational Research Societies (IFORS) acting as an umbrella organization
                      IFORS was founded in  comprising the national management science societies of over forty five countries
                      1959            with a total combined membership of over 25 000. Welcome to the club!



                                1.3     Management Science Applications


                                      At this stage it will be worthwhile providing an overview of some of the decision
                                      areas where MS is applied. Later on in the chapter, we shall examine the more
                                      common management science techniques that are applied across these application
                                      areas and that we shall be developing in detail through the text.

                                      Assignment

                                      Assignment problems arise in business where someone has to assign resources or
                                      assets (like people, vehicles, aeroplanes) to specific tasks and where we want to do this
                                      to minimize the costs involved or to maximize the return or profit we earn. A simple
                                      example of this situation arises when an ambulance depot has a given number of
                                      emergency ambulances available throughout the day. Based on past experience it
                                      expects a number of emergency calls throughout the day to which it has to respond
                                      swiftly. Each of its ambulances has a dedicated crew but the crews have differing
                                      expertise and experience. The depot has to decide which individual ambulance to
                                      assign to each emergency call. It may try to do this to minimize the time taken to
                                      reach the location or to minimize the travel distance covered, or to send the ‘best’
                                      crew to each type of emergency call. Whilst assignment problems often look simple,
                                      in real life they can be extremely complex and difficult to get right. Examples of
                                      assignment problems include: assigning referees to World Cup soccer matches;
                                      assigning students to classes; assigning airline crews to aircraft; assigning surgical
                                      teams to patients; assigning construction equipment to different construction proj-
                                      ects. Management science has developed special techniques to help formulate and
                                      solve such assignment problems.

                                      Data Mining

                                      Largely because of the technology now available, many organizations are collecting
                                      large volumes of data about sales, customers, spending patterns, lifestyles and the
                                      like. Think about what happens when you use your credit card to buy groceries at
                                      the supermarket. The supermarket knows what you’ve bought (and can track trends
                                      in your purchases over time); the supermarket’s suppliers know which products are
                                      selling and which are not; your bank knows your spending profile across the year.
                                      Used smartly, this data can allow organizations to understand better what is happen-
                                      ing and to tailor and adapt their strategies, products and services accordingly. The
                                      supermarket can send you details of special offers on the items you normally buy (or
                                      perhaps on the ones that you don’t buy); your bank knows when you might need a
                                      loan. Data mining is concerned with sifting through large amounts of data and
                                      identifying and analyzing relevant information. Historically, its use has been con-
                                      centrated on business intelligence and in the financial sector, although its use is




                Copyright 2014 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has
                      deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.
   20   21   22   23   24   25   26   27   28   29   30