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MANAGEMENT SCIENCE MODELS AND TECHNIQUES  21


                                      Inventory Models
                                      Having the right levels of inventory, or stock, is critical for many organizations. Too
                                      much inventory makes costs escalate. Too little inventory and sales and production
                                      may suffer. Inventory models are used by managers faced with the dual problems of
                                      maintaining sufficient inventories, or stock, to meet demand for goods and, at the
                                      same time, incurring the lowest possible inventory costs.

                                      Queuing Models
                                      Waiting-line or queuing models have been developed to help managers understand and
                                      make better decisions concerning the operation of situations involving queues. Using
                                      mathematical models we shall see how queuing situations can be analyzed to predict
                                      factors such as the time a customer may have to wait in a queue before service, the likely
                                      size of queues that may build up and the effect on queues of changing the service process.

                                      Simulation
                                      Simulation is a computer-based technique used to model the operation of a system
                                      or process so that experimentation can be conducted to evaluate the consequences
                                      of alternative decisions. This technique employs computer programs to model the
                                      operation and perform simulation computations.
                                      Decision Analysis

                                      Decision analysis is a formal approach to decision making and can be used to
                                      determine optimal strategies in situations where there are several decision alter-
                                      natives and where the outcomes or consequences of these decisions are uncertain.

                                      Multicriteria analysis
                                      We then have a chapter that introduces a variety of multicriteria methods. Such
                                      methods are used where we are making a decision where we must somehow take a
                                      variety of criteria into account when deciding what best to do. For example, you may be
                                      considering buying a new laptop. In trying to decide which make and model to buy
                                      you’ll take a variety of conflicting criteria into account: price, reputation, reliability and
                                      so on. Goal programming is one technique for solving multicriteria decision problems,
                                      usually within the framework of linear programming. Analytic Hierarchy Process is
                                      another multicriteria decision-making technique which permits the inclusion of sub-
                                      jective factors in arriving at a recommended decision.

                                         The following four chapters are located on the associated premium online platform
                                      that is autopackaged with the text. For more information on access, see the ‘Digital
                                      Resources’ page at the front of the book.

                                      Integer Linear Programming
                                      Integer linear programming is an approach used for problems that can be set up as
                                      linear programmes with the additional requirement that some or all of the decision
                                      variables take integer values. For example, a car manufacturer may be looking to
                                      optimize the number of dealer outlets to supply to, where, clearly, the number of
                                      outlets must sensibly be an integer value.

                                      Forecasting
                                      We then look at a variety of forecasting techniques that can be used to predict
                                      future aspects of a business operation. We look at time series models which
                                      analyze the movement of a business variable over time; we look at methods of




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