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Lean Engineering Research Group

Research Projects

The Lean Engineering Research Group has been successful in recieving Government funding to carry out various research projects

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Facilities

The Lean Engineering Research group offers access to a range of decision support tools

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Postgraduate Study

The Lean Engineering Research Group offers a wide range of study programmes at postgraduate level

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Providing operational effectiveness and resilience to industrial and service organisations

Lean Engineering is concerned with identifying the underlying principles by which manufacturing environments can become more responsive, flexible, productive, reliable and cost effective. In a highly competitive world, the group’s research is becoming ever more important to both industry and service sectors that must increase diversity to remain ahead.

Of particular interest to the group are the use of lean principles within highly variable mass-customisation manufacturing and non-manufacturing environments, as well as in the disassembly/remanufacturing of end-of-life consumer products.

 

Mission

The Lean Engineering Research Group (LERG) is part of De Montfort University’s Advanced Manufacturing Processes and Mechatronics Centre.  LERG is concerned with identifying the underlying principles by which manufacturing environments can become more responsive, flexible, productive, reliable and cost effective. In a highly competitive world, the group’s research is becoming ever more important to both industry and service sectors that must increase diversity to remain ahead. Of particular interest to the group are the use of Organisational Operations Optimisation principles within highly variable mass-customisation manufacturing and non-manufacturing environments, as well as in the disassembly/remanufacturing of end-of-life consumer products.

LERG focus on developing strong technological partnerships with manufacturing and service industries. The main aim is to provide our partners with high quality research deliverables and educational programmes that have beneficial impacts for them at both strategic and operational levels. Within the centre, "practicing what we preach" means that team working and continuous improvement are essential working cultures that ensure our educational, commercial and research activities remain relevant to the needs of modern competitive businesses.

 

Key areas of expertise

LERG is involved in a number of cross-disciplinary collaborative externally funded industrial projects mainly in the area of continuous process improvement and organisational operations optimisation for both industrial and service sectors. This includes the use of a wider range of cross-disciplinary techniques to implement and sustain these solutions; for instance Lean based techniques, modelling and simulation, combinatorial optimisation, autonomous systems, evolutionary algorithms and artificial intelligence. The key areas of expertise for LERG based on the previous and current involvement are;

  • Process mapping and causal relationship identification
  • Process improvement and improving process competencies
  • Lean creative problem solving, root cause analysis and decision making
  • Performance measurement and analysis
  • Simulation modelling and analysis
  • Finite capacity scheduling
  • Coding and classification systems
  • Multi-objective combinatorial optimisation
  • Design and implementation of evolutionary algorithms based multi-objective optimisation and decision support models in a specific problem domain, for instance;
    • Job sequencing
    • Buffer size optimisation
    • Job shop scheduling
  • Autonomous decision making using the biological control principals
  • Forecasting and prediction modelling
  • AI approaches; decision tree, rule based modelling, decision matrix and neural networks
  • Automation of decision support processes
  • Process standardisation

 

Partnerships
 

LERG widely uses the discrete event simulation in the research, PhD and MSc projects. Simio|, an industry leader in simulation software, has provided access to Simio simulation software under an academic grant from Simio LLC. 

 

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