• MMAN3103
  • Manufacturing Management

  • Credits (ECTS): 5
  • Mechanical and Design Engineering

Modules are delivered
as part of a programme.
To apply for the
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Module Description

This is an undergraduate module in Production and Operations Management. The module builds upon the knowledge and understanding of basic Manufacturing Management Systems developed in ancillary modules. The structure of the module follows a standard degree format in Operations Management and covers an appropriate quantity of the recommended class texts. This module also focuses the learner on developing knowledge, know-how, skill and competence in contemporary approaches to Quality Engineering and Quality Management. It engages learners with the core elements of modern Industrial quality management systems. It equips learners with the capability to design, select and apply a variety of statistical techniques for Quality problem solving and product/process characterisation and control. Knowledge Breadth: This module will provide the learner with a detailed understanding of Operations Management and Quality theory and knowledge of a variety of analytical tools and techniques while also exposing students to current best practise approaches to Operations Management. The student will be introduced to a range of Operations Management concepts and state of the art systems. The concepts and systems will be examined and advantages /disadvantages of each considered. Kind: Learners will be exposed to a variety of Operations Management areas e.g. Plant Layout, Industrial Engineering, Management Theories, Management Philosophies such as Just in Time, Lean Manufacturing, World Class Manufacturing, together with Quality concepts and models. Additionally, learners will learn to appropriately apply a wide variety of quantitative tools, approaches and techniques in support of Plant/Process Optimisation. This includes Learning Curve, Algorithms, Layout tools, Work & Work Systems, Capacity Management and Operations Forecasting and Scheduling and Materials Management. By study of the principles and using an understanding of the structures currently in vogue, the learner will be able to design and optimize operations systems matching organisation and procedures to a particular system, taking cognizance of the environment in which it finds itself Know-how and skill Range: Learners will develop an awareness of the principles of ''best practice'' contemporary approaches to Operations and Quality Management .The learner will be able to use a wide range of Tools, Techniques, Heuristics and methodologies to solve Operations Management problems. Humanistic, moral and ethical considerations are catered for. Course work, complemented by problem solving will provide a background from which reasonable judgements will be made by the learner/future engineer in the design of operations systems. Consideration will be given to the controls, procedures, manning levels, methods and structures required to operate and optimize such a system. Selectivity: The learner will have a basic knowledge of the fundamental theory and mathematical principles involved in the Learning Curve, Line Balancing, Forecasting, Material Requirement Planning, Capacity Management, Line Balancing, Inventory, Scheduling, Staffing and Control quality systems and tools in order to optimize operating systems. They will be capable of applying these principles to solve relevant Industrial problems. The learner will be able on completion of the module to calculate the effectiveness of the system elements. The learner will have a range of skills which can be applied to any production or service system. This module will also enhance the professional and technical skills of the student Competence Context: The learner will be able to apply their learning to a broad range of industrial and simulated situations in a manufacturing or process design area. The learner will acquire the skill set to organise, manage and/or operate and optimize a manufacturing unit Role: The learner, as an individual or team member, will be capable of taking responsibility for sev

Module Aims

The aim of this module is to develop and enhance the learners'' knowledge and comprehension of current Manufacturing theory/techniques by the introduction of modern ideas and concepts. It also deals with principles, procedures and techniques. It develops their ability to confidently solve complex manufacturing line balancing problems/setting up and refining production and quality systems in Manufacturing Industry by viewing the production/operations function as the core-the essential part-of any business. It aims to develop learner''s abilities to identify and critically evaluate best practice approaches to Quality Engineering within contemporary industrial environments in the area of Operations Quality, Vendor Quality and Process Control. It equips learners with the capability to apply Basic Quality problem solving tools. It aims to equip learners with the capability to develop, apply and interpret relevant statistical approaches in support of product/process characterisation and control.

Indicative Syllabus

Activity sampling with calculations
Arrangement of facilities:
Brainstorming, Flowcharting, Pareto Analysis, Ishikawa Diagrams, Measles Charts, 5W1H.
Brief reference to MTM 1 & 2
Business policy & Ops Mgt
Calculations with different models
Capacity Management
Context of Operations Mgt:
Decision tree, break even charts
Defs of different types of cost which add up to total cost
Design of flow lines
Different stages of a study
Different tools in same
Estimation of labour requirements
Flow processing system scheduling
Human factors to be considered
Importance of Cost
Incentives with calculations
Industrial engineering:
Inventory mgt
JIT vs. batch production and its effect on costs
Job Design
Layout tools e.g. dimensional analysis, string diagrams Flow charts
Line balancing and calculations
MRP with case studies
Material Management:
Material admin purchasing and distribution
Nature of the operations system
Operating System and operations Mgt:
Operations Quality Control:
Operations economic and cost control
Organisational factors to be considered
Organisational structure and details of all functional roles
Plant layout
Process Capability/Process Control:
Process capability (Cp, Cpk) Special Causes and Common Causes of Variation, Process control charts for variables: X-R charts.
Quality Systems Introduction and Fundamentals:
Scheduling for batch production
Standard Work, Role of Standards, ISO9000:2000 & Sector-specific standards, Operators Entitlements, 5S for Operators, , Methods and Equipment ,Measurement and Gauging, Poke-Yoka Failsafing, Quality Circles, Operations Quality Metrics (PPM, DPM)
Standard time calculations
Station layout
''The customer is king'', Quality Control vs. Assurance, Basic stages of a Quality Control system, Elements of Quality Cost, Attributes/Variables, Defect Classification methods Sampling Plans, Mil-Standard 105D, Vendor Rating, Corrective Actions and Root Cause Analysis
Using Basic Quality Tools:
Value analysis
Work Study

Total Contact Teaching Hours:48
Class Size:30

Please note that the catalogue is provided as a guide to modules in DIT. Not all modules listed will necessarily be offered every year and new modules may also be added. Information subject to change. For detail on specific programmes/modules please contact the relevant School directly.