Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2013-2014 (archived)

Module ENGI3421: MANAGEMENT AND MANUFACTURE

Department: Engineering

ENGI3421: MANAGEMENT AND MANUFACTURE

Type Tied Level 3 Credits 20 Availability Available in 2013/14 Module Cap None. Location Durham
Tied to H100

Prerequisites

  • As specified in Programme Regulations

Corequisites

  • As specified in Programme Regulations

Excluded Combination of Modules

  • As specified in Programme Regulations

Aims

  • This module is designed solely for students studying School of Engineering and Computing Sciences degree programmes.
  • To provide coverage of theory and methods required for financial management, quantitative decision making in management science.
  • To provide a fundamental understanding of the close relationship and dynamic interaction between product design and manufacturing engineering.
  • To provide an understanding of the development and underpinning principles of manufacturing from Mass to Lean and Agile manufacture
  • To provide an understanding and use of discrete event simulation to model manufacturing cells etc
  • To provide a knowledge of effective process control techniques with manufacture

Content

  • Management (Finance, Quantitative Decision Science)
  • Manufacture

Learning Outcomes

Subject-specific Knowledge:
  • Students will learn how to effectively integrate economic issues into the management of engineering design and operations.
  • Students will acquire knowledge of how decision making problems can be modelled mathematically, and solved using appropriate quantitative methods.
  • Students will be able to perform fundamental analyses for decision science problems.
  • To understand the development and underpinning principles of Lean and Agile manufacture
  • To understand and be able to model manufacturing operations e.g cells using discrete event simulation modelling.
  • To understand the theory and practice of process control.
Subject-specific Skills:
  • The application of specialised management knowledge in an engineering context.
  • To apply Design for Manufacture, Process Control and simulation techniques in relation to modern manufacture.
Key Skills:
  • Communicate effectively.
  • Discrete event simulation modelling.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • The course in Management is taught by lectures leading to the acquisition of the appropriate subject specific skills and knowledge. Assessment is through written examination, which enables each student to demonstrate subject knowledge and an ability to analyse and solve new problems.
  • Students are able to make use of staff Tutorial Hours to discuss any aspect of the module with teaching staff on a one to one basis. These are sign-up sessions available for up to one hour per week
  • The course in Manufacture is taught by lectures and workshops and assessed by written examination. This allows students to demonstrate subject knowledge and problem solving skills.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Management lectures 19 1 per week 1 hour 19
Manufacture lectures 19 typically 1 per week 1 hour 19
Manufacture Workshops - CAD/RP 3 typically 1 per week 2 hours 6
Manufacture workshops Simulation 3 typically 1 per week 2 hours 6
Tutorial Hours as required weekly sign-up sessions up to 1 hour 8
Preparation and reading 142
Total 200

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Management 3 2 hours 60% none
Manufacture 3 1.5 hours 40% none

Formative Assessment:

Problem Sheets for lecture courses.


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University