Introduction To Management Science Hillier Solutions

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Leocricia Castellanos

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Aug 3, 2024, 6:09:07 PM8/3/24

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Mathematical Programming is one of the most powerful and widely-used quantitative techniques for making optimal decisions. The course has a pragmatic focus and aims at enabling students to model and solve real-life management problems. In providing an overview of the most relevant techniques of the field, it teaches a range of approaches to building Mathematical Programming models and shows how to solve them and analyse their solutions. Content includes: An introduction to the theory of linear programming. The modelling life cycle and modelling environments. Formulation of management problems using linear and network models; solution of such problems with a special-purpose programming language; interpretation of the solutions; limitations of such models. Formulation and solution of non-linear models including some or all of binary, integer, convex and stochastic programming models

Central to the course is: H P Williams, Model Building in Mathematical Programming, Wiley. A good introduction to Mathematical Programming provide the relevant chapters of: F S Hillier and G J Liebermann: Introduction to Operations Research, McGraw-Hill. A more theoretical treatment can be found in: D Bertsimas and J N Tsitsiklis: Introduction to Linear Optimization, Athena Scientific. Further suggestions for reading are given during the course.