MSc Logistics And Optimisation

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MSc Logistics And Optimisation

  • Objectives Provide an understanding of manufacturing logistics and the underlying principles of lean manufacture Provide a broad appreciation of the available analytical tools and statistical principles for logistics optimisation in both service and manufacturing operations Develop intellectual, analytical and problem-solving skills that will help develop professional and interpersonal abilities
  • Entry requirements The course attracts a large and growing number of international students who have found the qualification to be of considerable value in the development of their careers. We have a good research record and extensive links with industry through knowledge exchange schemes and consultancy. We have also recently benefited from large research grants from the UK Government.
  • Academic title MSc Logistics And Optimisation
  • Course description Logistics analysis is critical to success in both manufacturing and service industries. Competitive advantage will increasingly come from the supplier's ability to rapidly respond to changing customer needs for which effective logistics are of prime importance.

    This course focuses on the integration of analytical techniques for optimisation with the decision issues and the technology relating to scheduling, storing and transporting goods. It covers a range of modules that combine lectures, case studies and the use of application software.

    The course has been designed to provide knowledge and understanding of the available analytical tools and statistical principles required for logistics optimisation in both service and manufacturing operations. You will study:

    -Integrated manufacturing systems
    -Operations and quality management
    -Principles of operational research
    -Project formulation
    -Research methods
    -Project management
    -Transportation
    -Transhipment
    -Assignment theory

    You will also choose an optional unit from:

    -Scheduling in operational research
    -Information technology and management
    -Applied statistics for design and production

    A strong feature of the course is the individual project, which comprises a third of the course. We encourage students to undertake projects in companies but we can also use our extensive resources and staff skills to undertake projects within the University

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