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212   CHAPTER 5 LINEAR PROGRAMMING: THE SIMPLEX METHOD



                      MANAGEMENT SCIENCE IN ACTION



                      Fleet Assignment at Delta Air Lines
                          elta Air Lines uses linear and integer program-  The successful implementation of the Coldstart
                      D ming in its Coldstart project to solve its fleet  model for assigning fleet types to flight legs shows
                      assignment problem. The problem is to match air-  the size of linear programmes that can be solved
                      craft to flight legs and fill seats with paying passen-  today. The typical size of the daily Coldstart model is
                      gers. Airline profitability depends on being able to  about 60 000 variables and 40 000 constraints. The
                      assign the right size of aircraft to the right leg at the  first step in solving the fleet assignment problem is
                      right time of day. An airline seat is a perishable  to solve the model as a linear programme. The
                      commodity; once a flight takes off with an empty  model developers report successfully solving these
                      seat the profit potential of that seat is gone forever.  problems on a daily basis and contend that use of
                      Primary objectives of the fleet assignment model are  the Coldstart model will save Delta Air Lines $300
                      to minimize operating costs and lost passenger rev-  million over a three year period.
                      enue. Constraints are aircraft availability, balancing
                                                                  Based on R. Subramanian, R.P. Scheff, Jr., J.D. Quillinan, D.S. Wiper,
                      arrivals and departures at airports and maintenance  and R.E. Marsten, ‘Coldstart: Fleet Assignment at Delta Air Lines’,
                      requirements.                               Interfaces (January/February 1994): 104–120.



                                     In Chapter 2 we saw how to solve simple, two variable LP problems using the
                                     graphical method. However, we also saw in Chapter 4 that LP problems are likely
                                     to be more complex than this, involving a large number of decision variables and
                                     constraints. The Management Science in Action, Fleet Management at Delta Airlines,
                                     illustrates an LP problem involving around 60 000 variables and 40 000 constraints.
                                     Clearly a graphical solution approach will not work so a mathematical method of
                                     finding the solution is needed. In this chapter we introduce the Simplex method
                                     which is the most widely used LP solution method and the basis for many LP
                    The Simplex method was  computer software programs. The Simplex method provides a set of step-by-step
                    developed by George
                    Dantzig while working for  instructions, known as an algorithm, for solving an LP problem of any size. In this
                    the US Air Force. It was  chapter we look at how the Simplex method works and in the next chapter we see
                    first published in 1949.  the sensitivity information that the Simplex method provides.





                               5.1    An Algebraic Overview of the Simplex Method


                                     We will use a typical business problem to demonstrate the Simplex method. High-
                                     Tech Industries imports electronic components that are used to assemble two differ-
                                     ent models of laptop computers. One model is called the Deskpro, and the other
                                     model is called the UltraPortable. HighTech’s management is currently interested in
                                     developing a weekly production schedule for both products.
                                       The Deskpro generates a profit contribution of E50 per unit, and the UltraPortable
                                     generates a profit contribution of E40 per unit. For next week’s production, a maximum
                                     of 150 hours of assembly time can be made available. Each unit of the Deskpro requires
                                     three hours of assembly time, and each unit of the UltraPortable requires five hours of
                                     assembly time. In addition, HighTech currently has only 20 UltraPortable display
                                     components in inventory; so, no more than 20 units of the UltraPortable may be
                                     assembled. Finally, only 300 square metres of warehouse space can be made available
                                     for new production. Assembly of each Deskpro requires eight square metres of ware-
                                     house space; similarly, each UltraPortable requires five square metres.



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