Core Module Information
Module title: Engineering Operations Management

SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: MEC10420
Module leader: Adelaide Marzano
School School of Computing, Engineering and the Built Environment
Subject area group: Engineering and Mathematics
Prerequisites

There are no pre-requisites for this module to be added

Description of module content:

In this module you will learn- The role of forecasting in manufacturing engineering, methods of classifying forecasting methods, statistical forecasting techniques, methods for long, medium and short range forecasting.Location strategy and its impact on the attainment of corporate objectives. Criteria for evaluating location decisions, computerised location and distribution planning. Consideration of the range of processes and equipment selection including quality and reliability issues. Facilities layout and layout patterns including job shop, batch, assembly lines and group technology.Quantitative methods for aggregate planning, master scheduling and rough cut capacity planning. Materials requirements planning in terms of MRP, MRP II, JIT and Lean Manufacturing. Apply operations scheduling and production activity control techniques to a variety of production systems.Importance of job design, design of the physical, social and psychological environments, design of work methods and work measurement.Application of a range of quality improvement techniques including: pareto charts, histograms, cause and effect diagrams, SPC, and six sigma in a Total Quality Management framework.

Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Analyse the problem of forecasting product sales and other variables and consider the impact on operations and productivity decisions.

LO2: Evaluate alternative plant location decisions and recommend suitable equipment and its layout for a range of manufacturing systems.

LO3: Apply aggregate production, material requirements planning, operations scheduling and production activity control techniques to a variety of manufacturing systems.

LO4: Evaluate the range of factors that influence job design and establish appropriate solutions using given Information.

LO5: Apply a range of quality management tools and techniques to aspects of the production system.

Full Details of Teaching and Assessment
2025/6, Trimester 2, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Adelaide Marzano
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)NESH Description
Online GROUPIND_STUDY 82 The students will collect data, analyse and implement solutions based on the specifications of the group work assessment, they will edit the report based on the DMAIC structure assigned.
Face To Face GROUPSCHEDULED 18 Group work activity the students work in groups on a case study and develop a engineering operation plan using lean six sigma tools.
Online Guided independent study 100 Guided independent study the students have access to lecture notes and supporting materials to develop the case study
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Project - Practical 80 1~2~3~4~5 Week 12 HOURS= 5000 words DMAIC(Design Measure Analyse, Improve, Control) Implementation Processes for Manufacturing Industry Excellence.The students work on a case study and apply the Lean Six Sigma techniques (DMAIC) to solve operations management problems.
Oral Assessment 20 1~2~3~4~5 Week 12 HOURS= 15 mins The students present their contribution to the group work, their responsibilities, roles, and are assessed by
Component 1 subtotal: 100
Component 2 subtotal: 0
Module subtotal: 100

Indicative References and Reading List - URL:
MEC10420 Engineering Operations Management