Management Science for Decision Support
The emphasis in this module is on formulating (modelling) and solving models with spreadsheets. The topics covered include: modelling principles, optimisation and linear programming, network models, introduction to integer programming, key concepts of probability and uncertainty, decision theory, queuing systems and simulation.
The module aims to provide an understanding of the methods and techniques of Management Science with applications in business and industry, including Operations Management and related areas. Students should learn how to apply the more common techniques for a range of problems.
Managing Contemporary Operations: Fundamentals and Challenges
Contemporary operations management is introduced through the vehicle of lectures and case studies.
The module aims to:
- give students an appreciation of the importance of operations to business success and the role of operations management
- provide them with the knowledge and understanding of how the key variables of a business inter-relate
- provide an introduction to the analytical skills needed to understand business operations and processes
- provide them with examples of current best practice and associated initiatives and to critique their applicability in different contexts
- recognise the challenges associated with implementing changes associated with initiatives
Supply Chain Planning and Management
Module content is divided into three major parts.
- Fundamental supply chain concepts; The importance of supply chain management and logistics; Classification approaches; Buyer-supplier relationships and sourcing decisions.
- Supply chain management processes; Forecasting for supply chain and production management: qualitative and quantitative approaches (regression and causal modelling, time series methods); Inventory: forms, functions, decisions, and models. Inventory positioning. Supply chain dynamics and the bullwhip effect.
- Planning, scheduling and control approaches - Aggregate planning. Hierarchical planning and control. MRP-based planning and control. Capacity management strategies. Introduction to shop floor control. Enterprise Resource Planning (ERP) systems.
The module aims to provide a thorough introduction to supply chain management and supply chain planning processes relevant to contemporary operations. The module focuses on concepts, processes, models and techniques, and emphasises the role of information integration and enterprise resource planning (ERP) systems.
Design of Operations Facilities
The module covers: Strategic issues in the location of business in a global environment. Location models and the analysis of factors influencing the optimum selection of country, region and location. The facilities planning process and the optimum design of layouts. Lean manufacturing. Cell manufacturing and just in time production. Material handling and integrated production systems. Warehousing and logistics. Quantitative approaches to location and layout modelling. Computer aided layout design. Planning techniques. Design for next generation manufacturing and services.
The module aims to:
- give students the knowledge and analytical skills to evaluate the influence of markets, raw materials, labour, government policy etc on strategic decisions for location of manufacturing and service facilities in a dynamic global economy
- provide the analytical skills for the design of layouts which optimise performance, minimise operating costs, and support strategic marketing and business objectives
Quality Management and Quality Techniques
Quality and its management are key aspects of modern business, and have a great impact on both industrial and service sector enterprises.
This module aims to develop an understanding of the issues involved and the approaches employed in quality management, and a knowledge of the techniques of quality improvement.
Choose three modules from the following list (up to a maximum of two in each semester):
The module will cover energy-saving initiatives in design, manufacturing processes, logistics etc but not cover renewable energy. The module will also cover designs that make use of reclaimed material but will not address recycling, since this is covered elsewhere. The module will also cover greener manufacturing including near net shape processes, improving yields, waste minimisation and handling, reconditioning and mould tool repair, reconfigurability in manufacturing facilities corporate philosopies to minimize waste. It will also cover 'green' business models (reconditioning, mid-life upgrades, buy-back schemes etc).
The module aims to provide students with knowledge of key environmental and sustainability issues that are relevant to modern manufacturing. It also aims to provide a set of tools and skills that may be used to design, analyse, and improve manufacturing processes, products, and business operations. In addition it aims to provide the skills necessary to seek out, evaluate, and present relevant information from a range of information sources.
The module covers the following:
- Definitions and classifications of projects
- Objectives in project management - time, costs, quality
- Activity identification
- Resources and resource management
- Critical Path Method, Programme Evaluation and Review Technique, and resource scheduling
- Performance measurement and costs
- Project lifecycles and models
- Project teams and leadership in project management
- Managing risk in projects
- Critical Chain Planning Method
- Analysis of project success and failure
- Monte Carlo Simulation
- Project Management software
The module introduces fundamental concepts in project management. Students will gain understanding of the scope and variety of project types, understand key variables in project management and learn methods, techniques and approaches that are important in successfully managing projects to meet objectives in a wide range of contexts.
Systems Engineering and Human Factors
The module fills a current gap in engineering teaching by addressing systems analysis and development across a range of applications. It is vital that students learn that technical, human, organisational and economic factors must be addressed when understanding the operation and potential failure in existing systems, and in developing requirements, implementation and evaluation approaches for social and socio-technical systems, and for systems of systems. Particular attention will be paid to distributed (in time and space) systems and ones with elements of automated processes (all of which will have to interact with human and organizational elements at some point and time). Examples will be drawn from the practical applied work in a range of sectors of the module conveners and their colleagues.
The aims of the module are to:
- enable students to understand the nature of systems, to be introduced to systems engineering
- to learn methods of establishing and representing systems requirements to feed into the design process
- to emphasise the vital importance of integrating human factors into systems development for technical and social systems
Rapid Product Development
Plus one from the following list:
Advanced Operations Analysis
This module builds further on the fundamental planning and control concepts, tools and techniques, introduced in Supply Chain Planning and Management. The module is more quantitative in nature and aims to provide a thorough understanding of the tools and techniques that can be used to analyse, plan and control operations in contemporary businesses.
Management Science for Decision Support II
In this module, the emphasis is on decision modelling and algorithms for decision making. The topics will include Simplex algorithm for linear programming, Branch and Bound algorithms for integer programming, Dynamic programming, Non-linear programming, Multi-criteria decision-making, Combinatorial optimisation and meta heuristics. Examples illustrate the use of these algorithms for decision making
This module will build on the knowledge gained in the earlier module Management Science for Decision Support. It aims to introduce some additional management science techniques and show how they can be used to approach day to day issues faced by the business community. The ideas covered in this module will extend students' understanding gained from the earlier modules. On completion of this module, students will be able to approach specific business problems using management science techniques.
The simulation approach. Discrete event simulation. Computer simulation and software. Random sampling, experimental design and interpretation of results. Agent-based simulation. Web based simulation. Continuous system simulation. Hands on work with an appropriate simulation software package and associated assessed exercise.
Simulation is an important tool for aiding the design and management of operations in manufacturing and service industries. The module introduces the principles, roles and practice of simulation. The mechanics of simulation, the conduct of a simulation study, and the software available will all be covered. An assessed hands-on exercise demonstrates the use of a particular software package and its application in a practical context.
Any other module options are subject to approval, pre-requisites and timetabling constraints.
The modules we offer are inspired by the research interests of our staff and as a result may change for reasons of, for example, research developments or legislation changes. This list is an example of typical modules we offer, not a definitive list.