MSc Supply Chain and Sustainability Management

University of Strathclyde

This module aims to introduce students to the practical reality of analysing and solving supply chain management problems in real life. Students explore a series of case studies and real life problems relating to supply chain management (SCM) in a range of industries.

This module aims to develop a critical understanding of operation, structure and implementation issues around enterprise resource planning (ERP) systems as used in industry. Students learn how a typical ERP system works using an up-to-date SAP training package and consider the real-life use of a typical software package within an organisation.

This module aims to introduce students to the 'softer' aspects of engineering management. Given some key organisational and technological issues, the main focus is to examine the relationship between ?human? elements and change management from an engineering-oriented perspective.

The class is devoted to the concepts and approaches to effective performance measurement and management at an organisational level across the public and private sectors. Performance Measurement and Management (PMM) is one of the key factors for survival and prosperity of business systems.

The aim of the individual project is to allow students to combine the skills learned in other modules of the course and apply them within a significant project in a specific area of design, manufacture, or engineering management. This will be achieved through students carrying out work into a particular topic relating to their course and preparing a dissertation that documents the project.

This module aims to provide students with skills and knowledge relating to the use of engineering practices in Project Management with particular respect to the project triple constraint: time, cost and quality. The module covers: project management principles, concepts and processes; organisational influences, project stakeholders and project lifecycle; project scoping such as project definition, project objectives, project deliverables, and work breakdown structure; Project planning and scheduling: definition of events, activities and nodes, network diagram, analysis of critical path, PERT method and use of industry standard software packages; Project controlling: cost estimate, budget setting, risk identification and assessment and contingency planning.

This module aims to provide students with a critical understanding of the fundamental building blocks of Supply Chain Management (SCM) and e-Supply Chains from a strategic perspective with a view to developing their capabilities in modelling, analysing, diagnosing and re-designing/improving supply chains.

This module aims to provide students with an in-depth knowledge and understanding of those key concepts, methods, tools and techniques that are fundamental to effective and efficient running of supply chain operations from suppliers? suppliers to customers? customers.

This module aims to prepare students to be state-of-the-art business analysts in the era of big data. It gives them knowledge of and ability to use business analytics tools to make sense of both qualitative and quantitative data, identify the main messages in those data and report such messages back to decision-makers appropriately in order to help them to make better decisions.

This module aims to introduce students to modelling techniques that can be used to help support decision-makers. Business simulations are one such important modelling technique. This class focuses on two specific business simulation techniques; discrete-event simulation and system dynamics.

This module aims to introduce students to statistically planned experiments and industrial measurements. The module covers: Basic concepts of quality such as inspection and parameter design; Statistically planned experiments including two-level and three-level factorial experiments; Taguchi?s contribution to quality improvement including location/dispersion analysis and strategy for robust design; Test and measurement system including signals processing, DAQ hardware and software and Graphical programming (LabView).

This module aims to introduce students to the principles of Lean and Six Sigma. From Continuous Improvement approaches to organisational requirements, the module covers the critical success factors needed to support sustainable and effective business transformation.

This module aims to provide students with an understanding of strategic aspects of finance in relation to the decision-making process and analysis necessary for efficient management of organisations. The module covers: Financial Management; Accounting and Planning; Cost Engineering ? including classification of costs and costing methods; Performance Evaluation; Financial Ratios; Financial Analysis ? including investment decisions and investment analysis and other aspects of Financial Management such as risk and project management.

This module aims to introduce statistical modelling to support business and management decisions. The module provides a basis for students to learn a range of widely used methods ranging from effective presentation of data to development of sophisticated statistical models. This module covers two main areas: Part one covers an introduction to the basic theory and application of statistical modelling, including data analysis, probability theory, distributions and moments, estimation and hypothesis testing. Part two focuses on regression modelling and multivariate analysis. While key background theory will be presented, the emphasis is on the generation and interpretation of output from commercially available software. Throughout, there is an emphasis on the use of statistical analysis to help support decision-making and the management of business and industrial problems.

This module aims to introduce the fundamental techniques of risk management, risk-informed decision making and the general principles of risk analysis and its place in risk management, as well as the chance to develop skills in applying these methods to a variety of engineering examples. The module covers: modelling approaches and methods used by industry currently to manage risk; tools and techniques that are gaining popularity in industry but are not widespread; the basic principles of uncertainty and consequence modelling and the tools and techniques required to apply these principles and Industry standard processes and software tools.

This module considers the distinctive characteristics of Service Operations Management and how these differ from manufacturing. Through the modelling of service operations, the module illustrates how the different types of service operations can be effectively and efficiently managed. The module covers: Service Characteristics, dimensions and typologies; Design in services; Service capacity and yield management; Strategic links in services; Productivity and quality management in services; Cultural issues in services and New challenges in services (including service science).

This module aims to provide a series of strategic frameworks for managing high-technology businesses. The main focus is on the acquisition of a set of powerful analytical tools which are critical for the development of a technology strategy as an integral part of business strategy. These tools can provide a guiding framework for deciding which technologies to invest in, how to structure those investments and how to anticipate and respond to the behaviour of competitors, suppliers, and customers. The course should be of particular interest to those interested in managing a business for which technology is likely to play a major role, and to those interested in consulting or venture capital.

This module aims to introduce students to the theories and principles of Systems Thinking. The module also introduces the methods, tools and techniques for modelling, analysing, improving and designing systems in a variety of organisations including industrial, commercial and public sector.

This module aims to raise awareness of the role lean principles and green concepts can have in reducing the environmental impact of logistics activities. It also provides students with a critical understanding of trade-offs and win-win opportunities which exist between logistics activities and environmental issues through case studies. Students will gain a realistic appreciation of how organisations can increase the value of both operational and environmental choices in the context of logistics.

This module aims to develop a detailed understanding of the concept of remanufacture and its industrial application as well as new developments in the area. It explores the potential impact of remanufacture on a circular economy as well as the enablers and barriers.

This module covers one of the major challenges of modern industry which is to address the need for sustainable product development and manufacturing. International legislation and increasing costs of fiscal instruments such as the landfill tax now aim to force producers to reduce the environmental impacts of their products and processes. Accelerating globalization and industrialization continues to exacerbate complexity of sustainability. Whilst manufacturers are constantly required to lower their costs and maintain their competitiveness, legislations require them to look at lifecycle costs.