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The purpose of this study is to present a methodical procedure on how to prepare event logs and analyse them through process mining, statistics and visualisations. The aim is to derive roots and patterns of quality deviations and non-conforming finished products as well as best practice facilitating employee training in the food processing industry. Thereby, a key focus is on recognising tacit knowledge hidden in event logs to improve quality processes.

This study applied process mining to detect root causes of quality deviations in operational process of food production. In addition, a data-ecosystem was developed which illustrates a continuous improvement feedback loop and serves as a role model for other applications in the food processing industry. The approach was applied to a real-case study in the processed cheese industry.

The findings revealed practical and conceptional contributions which can be used to continuously improve quality management (QM) in food processing. Thereby, the developed data-ecosystem supports production and QM in the decision-making processes. The findings of the analysis are a valuable basis to enhance operational processes, aiming to prevent quality deviations and non-conforming finished products.

Process mining is still rarely used in the food industry. Thereby, the proposed method helps to identify tacit knowledge in the food processing industry, which was shown by the framework for the preparation of event logs and the data ecosystem.

A deeper understanding of what needs to be considered to improve the targeted incorporation of employees’ knowledge into continuous improvement (CI) programmes in industrialised housebuilding (IHB) is required. This paper aims to address the current lack of involvement and connect it to structural and corporate culture factors. To avoid misjudgements in improvement activities as well as to use the full potential of performance improvement ideas, CI tools and measures need to be adapted to facilitate this integration. Relevant factors are analysed and their influences on CI measures are assessed.

The research approach is built upon an explorative case study supported by a comprehensive literature review. Empirical data were collected through participant observation, guided interviews and company documents.

The influences on employee involvement within CI programmes and the corresponding suitability of important CI measures were evaluated on a set of relevant factors. These factors include unique building projects, project-based focus on order fulfilment, fragmented order fulfilment process, separation of order fulfilment activities in terms of space and time, procedural rules for dealing with on-site failures, short-term contracts with subcontractors and the practice of evaluating and monitoring performance on site.

The research paves the way for the development of suitable tools, measures and methods to effectively involve employees from all profession within a CI programme in IHB. The empirical part of this research is based on a single case study.

This work extends the body of knowledge of CI application in the construction industry with an analysis of factors influencing its implementation and management.

This paper aims to identify those factors, which will improve the collaboration between industrialised housebuilding (IHB) companies and their subcontractors within continuous improvement (CI) programmes. These factors will enhance the supply chain (SC) efficiency and productivity, eliminating obstacles when designing, implementing and managing CI programmes within IHB SC.

An explorative case study with a mixed-method approach was conducted within an IHB SC. To collect data, participant observation and guided interviews were applied. A stakeholder analysis was conducted to structure their guiding principles. A causal loop diagram (CLD) analysis was used to model the effects on and relationships within a SC and their impact on the involvement of subcontractors.

The influences on the stakeholders and the guidelines under which they work are defined. Potential conflicts of interest between stakeholders are identified. A CLD is used to model a better understanding of system behaviour impacting on the relationships within the SC and on subcontractor involvement. The results provide a number of factors that need to be considered when designing, implementing and managing a CI programme.

The research suggests better ways to use subcontractors’ specific knowledge of on-site processes such that productivity and efficiency are enhanced. Improvements within the construction supply chain (CSC) will, in the future, not be limited to small improvement gains at company level.

This paper extends the body of knowledge in CSC management by revealing factors important for designing, implementing and managing CI programmes, which enables the successful involvement of subcontractors in CI on SC level.