Purpose: In this study, a frame of reference was developed to adapt and execute a continuous improvement process (CIP) for reinforcing a continuous improvement (CI) culture in an organisation. The study was undertaken in a mature capital goods company that did not succeed in institutionalising CI despite deploying many CI tools over the years. The organisation thus needed a model that was adapted to its reality and strengthened the aspects of CI through cultural changes at the organisational level. Design/methodology/approach: Action research was used to implement the CIP, and this research method was reinforced using a hermeneutic phenomenological approach to analyse the results. Findings: The CIP was validated in four units of analysis within the organisation. For the validation, aspects relevant to organisational cultural change and their metrics were identified. The results showed that the main barriers to the development of CI in the case organisation were lack of teamwork and poor assimilation of new CI routines. Research limitations/implications: The study was applied only in one organisation. Therefore, results cannot be generalized although the process and methodology followed to adapt and implement the CIP could be applied within other organisations. Originality/value: The paper presents a CI frame of reference and describes how a CIP applied to a small- and medium-sized industrial enterprise generated cultural changes and promoted organisational excellence in the pursuit of CI, by using a hermeneutic phenomenological methodology approach.

Purpose: The implementation of additive manufacturing (AM) or 3D-printer manufacturing for technical prototyping, preproduction series and short production series can bring benefits in terms of reducing cost and time to market in product development. These technologies are beginning to be applied in different industrial sectors and have a great possibility of development. As these technologies are still in development, there is a need to define the capacity of the 3D machines to establish minimum standards for producing high-quality parts.Methodology/Approach: The proposed methodology is based on a design of experiments (DOE) approach, which serves as a guide for engineers when it comes to executing any experimental study. The following steps were followed (Unzueta et al., 2019): Phase 1: define; Phase 2: measure; Phase 3: plan; Phase 4: execute experimentation; Phase 5: analyse the results; Phase 6: improve via confirmation experiments; Phases 7-8: control and standardise.Findings: The proposed methodology is based on a design of experiments (DOE) approach, which serves as a guide for engineers when it comes to executing any experimental study. The following steps were followed (Unzueta et al., 2019): Phase 1: define; Phase 2: measure; Phase 3: plan; Phase 4: execute experimentation; Phase 5: analyse the results; Phase 6: improve via confirmation experiments; Phases 7-8: control and standardise.Originality/Value of paper: This study uses a methodological approach to demonstrate how the 3D printing technology can be enriched with statistical testing techniques (DOE). It defines numerical prediction models to obtain high-quality parts with a new AM technology, using a planning process with a minimum amount of experimentation.

Purpose: This paper aims to present how the project-based learning (PBL) methodology was implemented in the Faculty of Engineering of Mondragon Unibertsitatea in the second year of the Engineering in Industrial Organisation degree to help integrate statistical knowledge related to the design of experiments (DOE) and the use of advanced technologies, such as additive manufacturing (AD; also known as 3D printing).Design/methodology/approach: The methodology applied was PBL, which enables learners to apply theoretical concepts to a controlled real-world environment and to make decisions based on practical experience. PBL was applied in a team setting involving 51 students divided into 12 teams.Findings: The improvement in academic results demonstrate an improvement in the acquisition and assimilation of technical knowledge of the use of statistical tools through experimentation in a semi-industrial environment. In addition, the results of the satisfaction surveys show an increase in the motivation and commitment of the students during the project.Originality/value: The value of the work lies in the integration of advanced technologies (AM or 3D printing) and statistical knowledge in DOE through the PBL methodology in a higher education environment.

The present study describes a methodology to apply the DOE (Design of Experiment) techniques. To show its application, a simple case was prepared that can be used as a training in industrial environments. In this case, fractional factorial designs were applied and the effects and interactions that influence the analyzed response were determined. The analysis of the data was done both manually and through the use of the statistical software MINITAB. The case study shown can be a useful tool to stimulate the use of DOE techniques in the industry. Keywords: Design of Experiment, DOE, training, factorial design, methodology.

Purpose: This document describes a continuous improvement process assessment system (CIPAS). A continuous improvement process (CIP) was developed to progress through the levels of continuous improvement (CI) defined by Bessant, Caffyn and Gallagher (2001), and the CIPAS was developed to measure this evolution. The CIP and the CIPAS were tested in a mature industrial small and medium-sized enterprise (SME) cooperative company (Basque Country, Spain) that works in the capital goods sector.Methodology/Approach: The study was developed according to an ‘action research’ strategy (Coughlan and Coghlan, 2002) over a period of two years. The action research team includes the authors and managers of several areas of the studied company.Findings: The assessment identified critical elements and related routines for the effective execution of the CIP in this company. In addition, the evaluation system allowed for a visualisation of the company’s CI maturity level progression.Research Limitation/implication: The assessment system was designed in an ad hoc manner for this CIP and this industrial company, but it may be possible to adapt these to other types of companies by using the steps followed and indicators defined as an example.Originality/Value of paper: The CIPAS is used to identify the key CI elements, to measure the evolution of CI routines, and to identify a CI maturity level of the company in which the CIP is applied. It can be applied to any type of company and serves to define future actions for its evolution.