Module Specifications.
Current Academic Year 2024 - 2025
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Date posted: September 2024
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Description The aim of the module is to introduce students to modern manufacturing operations management principles and tools in order to reduce manufacturing costs, improve product quality and increase customer satisfaction. | |||||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. place modern manufacturing operations management within a historical context 2. compare and contrast the main modern approaches to manufacturing operations management 3. financially evaluate projects 4. apply a range of manufacturing operations management tools and techniques to reduce costs, improve product quality and increase customer satisfaction | |||||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and Learning Activities
Introduction to manufacturing systemsTypes of production (push/pull production, job shop, batch, mass production, mass customisation); Types of manufacturing systems (individual machines, manufacturing cells, FMS, automatic production lines).Financial calculationsCost analysis (costs, revenue, profit); Project evaluation (net present value, internal rate of return, payback).Total Quality ManagementTQM principles, methodology, strategies; Cost of quality.The Toyota Production SystemHistory of TPS; Main concepts of TPS.Just-in-Time manufacturingCharacteristics of JIT; Kanban systems; CONWIP.Lean manufacturingPrinciples of lean manufacturing; Types of waste; Value stream mapping; Elements of lean manufacturing (5S, autonomation, error prevention, single-minute exchange of dies, production levelling, standardised work, continuous improvement).Six sigma manufacturingStatistical basis of six sigma manufacturing; Process capability; Six sigma methodologies (DMAIC, DMADV); Six sigma tools (PICK chart, RACI matrix, Pugh matrix, cost-benefit analysis, critical to quality tree, Taguchi loss function, 5 whys, Pareto analysis, failure mode and effect analysis, data representation, regression analysis, correlation, statistical process control); Six sigma implementation roles; Six sigma criticism.Dimension analysisPrinciples of interchangeability; Full interchangeability; Partial interchangeability. | |||||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources 59338, Files on Loop, Tamas Szecsi, 0, MM354 module notes, | |||||||||||||||||||||||||||||||||||||||||||