Topic 1: Examining the Integration of Industry 4.0 Technologies in Manufacturing: A Case Study Analysis
Research Aim: This engineering management dissertation aims to investigate the integration of Industry 4.0 technologies in manufacturing processes. The research will employ a case study methodology, examining specific manufacturing units that have adopted Industry 4.0 practices. Through on-site observations, interviews with industry professionals, and analysis of key performance indicators (KPIs), the study aims to assess the impact of Industry 4.0 on operational efficiency, cost-effectiveness, and overall competitiveness. The research methodology will provide a detailed understanding of the challenges, benefits, and best practices associated with the implementation of Industry 4.0 in manufacturing.
Topic 2: Evaluating the Sustainable Engineering Project Management: Strategies for Implementation
Research Aim: This engineering management research topic focuses on integrating sustainability principles into engineering project management. It will use a mixed-methods approach, including qualitative interviews and quantitative surveys, to identify successful strategies, barriers, and key performance indicators for sustainable engineering project management. The study will analyze case studies of engineering projects with a sustainability focus to provide insights into the effectiveness of current practices and contribute recommendations for enhancing sustainability in engineering project management.
Topic 3: Analysing the Risk Management in Large-Scale Infrastructure Projects: Lessons from Recent Cases
Research Aim: This dissertation examines risk management practices in large-scale infrastructure projects using a qualitative case study methodology. The engineering management thesis aims to identify key risk factors, mitigation strategies, and their impact on project success. Interviews with stakeholders and risk management experts will be conducted to assess the effectiveness of existing risk management frameworks. Content analysis of project documents, risk registers, and post-project evaluations will provide a comprehensive understanding of risk management practices in large-scale engineering projects.
Topic 4: Optimising Digital Twin Technology for Facility Management: Implementation Challenges and Opportunities
Research Aim: This thesis in engineering management explores the implementation of digital twin technology in facility management. The study uses a mix of methods, such as interviews, surveys, and case studies, to identify the factors that influence the successful use of digital twin technology. It provides insights for improving the implementation process and maximizing the benefits of digital twin technology.
Topic 5: Analysing Lean Six Sigma Practices in Engineering Project Management: A Comparative Analysis
Research Aim: This project title in engineering management will compare how Lean Six Sigma is used in managing engineering projects. We will ask project managers and teams in companies that use Lean Six Sigma to answer surveys. We will also look at case studies of engineering projects that use Lean Six Sigma. We want to know how it affects project timelines, cost efficiency, and project success. This study will help us understand how different engineering projects and companies use Lean Six Sigma. It will give us ideas about how good it is for managing projects.
Topic 6: Assessing the Implementation of Profile Modelling for Sustainability in Engineering Design
Research Aim: The study aims to assess the implementation of management processes to improve sustainability considerations in engineering product design. This engineering management research uses the five critical elements of implementation to demonstrate the organisational sustainability linked to the design and structure of an organisation’s operational management. The study is conducted using mixed methods research techniques. This includes the use of interviews and questionnaires for data collection amongst representatives from product development-and-manufacturing companies in the UK. Data is analysed using profile modelling, PLS-SEM, and thematic analysis.
Topic 7: Examining the Influence of Behaviour Tension on Value Creation in Owner-Contractor Relationships
Research Aim: The primary aim of the current study is to assess the relationship between behaviour tension on value creation in the owner-contractor relationship with the moderating role of dependence asymmetry. The dissertation in engineering management assesses the relationship using paradox theory to comprehend how parties interact to create greater value in their cooperative relationships. The study is conducted using quantitative research methods. The data is collected using a Likert-scale questionnaire and analysed using Smart PLS 3.0.
Topic 8: Analysing the use of Game Theory to Review Waste Management Decision Making in Civil Engineering
Research Aim: The primary aim of the proposed study is to examine and assess various waste management methodologies using game theory principles. The study is one of the civil engineering project topics on construction management, which examines the primary decision-making tools available in the absence of cooperation. The study reviews the use of game theory to complement waste management decision-making methods in civil engineering. The study uses a case study methodology to examine the issues presented. The study attempts to implement game theory as a waste management example to illustrate its methodological approach.
Topic 9: The Impact of Resilience Engineering on Safety Practices and Professionals
Research Aim: Topic 9: The study aims to assess the implementation of ‘Safety-I’ and ‘Safety-II’ in the practical engineering environment. The study examines the perspectives of safety professionals and their organisations with regard to ‘Safety-I’ and ‘Safety-II’. The study uses questionnaire surveys distributed to engineering safety professionals in the UK. The data is analysed using structured equation modelling through Smart PLS 3.0 programme.
Topic 10: Examining the Influence of Personality Traits on Systems-Thinking Skills Preferences
Research Aim: The study aims to investigate the relationship between systems engineers' and engineering managers’ systems-thinking skills preferences and personality traits to solve complex system problems. The study assesses the systems-thinking skills preferences and personality traits of engineers. The study is conducted using the structural equation modelling method to carry out the investigation. Data is collected from engineering managers and systems engineers in the UK. It is analysed using Smart PLS 3.0.
Topic 11: Examining Working Conditions of Systems Engineers in the Workplace
Research Aim: The aim of the study is to quantify working conditions in the workplace of systems engineers. The study aims to conduct an assessment that would provide unified units of measurement to get a more generalised indicator of harmful factors in the workplace. The study uses indicators of harmful factors considering minimum, maximum, and optional values. The study uses the hierarchy analysis method to get reliable values. The data is collected using questionnaire surveys of systems engineers, field observations, and time-series data from machine-building enterprises.
Topic 12: Assessing the Relationship between Team Communication and Role Adoption on Engineering Project Meetings
Research Aim: The study aims to assess the relationship between team communication and role adoption on engineering project meetings successes. The study assesses how team roles may impact meetings in the engineering context. The study also assesses how personal factors influence team behaviour patterns. The study is conducted using empirical research techniques. Data is collected using structured questionnaires developed on Likert scale items. Data is analysed using structure question modelling of partial least squares.
Topic 13: The Impact of Digital Systems on Digital Engineering
Research Aim: The aim of the study is to explore the digital transformation of engineering digital technologies. The study explores digital systems engineering by analysing the theory development, methods, models, and tools to support digital engineering. The study assesses the key challenges and advancements of digital engineering. The study is conducted using qualitative research techniques. Data is collected and analysed using systematic literature review techniques and meta-analysis of digital engineering papers.
Topic 14: Development of Production Recovery Plan in Manufacturing Supply Chain Against COVID-19
Research Aim: The primary aim of the study is to assess the impacts of COVID-19 on manufacturing and supply chain UK related to essential goods. The study proposed a recovery plan for the supply chain and manufacturing industry in the UK to minimise the impacts of dual disruptions. The demand for essential products increased greatly in a pandemic situation while the supply of raw materials decreased with a constraint on production capacity. The study provides a recovery model for these dire disruptions.