Analysing the influence of organisational culture and leadership styles on the implementation of lean manufacturing

This paper aims at identifying the combination of organisational culture profiles and leadership styles that best support companies implementing lean manufacturing practices. For that, 225 leaders from manufacturing companies at various stages of lean implementation were surveyed. The analytical approach clustered respondents and their respective firms according to prevailing organisational culture, leadership style and level of implementation of lean practices, testing for frequency differences among clusters. This study states that organisational culture profiles are related to leadership styles and lean manufacturing implementation level, suggesting different-from-expected effects of this relationship on lean manufacturing implementation. The study bridges a gap in the literature by exploring how the association between organisational culture and leadership styles occurs in companies that are adopting lean practices

Proposing a Tool for Supply Chain Configuration: An Application to Customised Production

The full implementation of collaborative production networks is crucial for companies willing to respond to consumer demand strongly focused on product customisation. This chapter proposes an approach to evaluate the performance of different Supply Chain (SC) configurations in a customised production context. The model is based on discrete-event simulation and is applied to the case of supply chain in the fashion sector to support the comparison between mass and customised production. A prototype web-based interface is also developed and proposed to facilitate the use of the model not only for experts in simulation but for any user in the SC management field

Programação de tarefas baseada em curvas de aprendizado para linhas de produção customizadas

Mass customization implies in large variety of product models and small lot sizes. Human-based activities are highly affected by the learning process as a new model is put into production. That makes estimation of lot processing times difficult and jeopardizes the efficiency of scheduling techniques. The method proposed in this paper integrates information from learning curve modeling and scheduling heuristics, aiming at minimizing the completion time of jobs to be processed. Lot processing time is estimated by means of learning curve modeling and then used in scheduling heuristics for the unrelated parallel workers problem. The completion time generated by the recommended heuristic, determined through simulation, deviates 4.9% from the optimal sequence and yields good work balance among teams of workers. The heuristic is demonstrated in a shoe manufacturing process.A manufatura de produtos personalizados, também conhecida como customização em massa, implica no aumento da variedade de modelos e demanda redução no tamanho dos lotes de produção. Tarefas que dependem da habilidade humana são especialmente afetadas nesse contexto, visto que os trabalhadores precisam se adaptar às características do novo modelo. Esse processo de adaptação dificulta a operacionalização de técnicas de programação de tarefas, uma vez que o tempo de processamento da tarefa é de difícil determinação. Este artigo integra informações oriundas da modelagem de curvas de aprendizado a heurísticas de programação de tarefas voltadas à minimização do tempo demandado para término de um conjunto de tarefas. O tempo de processamento de lotes (tarefas) com diferentes tamanhos e graus de complexidade é estimado através de curvas de aprendizado, sendo então utilizado em heurísticas para programação de tarefas em equipes de trabalhadores paralelos não relacionados. A heurística recomendada, identificada através de simulação, apresenta um desvio de 4,9% em relação ao tempo de término da sequência ótima de tarefas e conduz a um nível satisfatório de ocupação entre as equipes. A heurística é aplicada em um processo da indústria calçadist

Effect of Industry 4.0 on the relationship between socio-technical practices and workers\u27 performance

Purpose: This paper aims to examine the moderating effect of Industry 4.0 (I4.0) technologies on the relationship between socio-technical (ST) practices and workers\u27 health, quality and productivity performance. Design/methodology/approach: In this paper, 192 practitioners from different manufacturing firms adopting I4.0 technologies were surveyed, analyzed the collected data using multivariate techniques and discussed the results in light of ST theory. Findings: Findings indicate that I4.0 moderates the relationship between ST practices and performance, to an extent and direction that varied according to the focus of the technologies and practices adopted. Originality/value: The I4.0 movement has triggered changes in the work organization at unprecedented rates, impacting firms\u27 social and technical aspects. This study bridges a gap in the literature concerning the integration of I4.0 technologies into manufacturing firms adopting ST practices, enabling the verification of the moderating effects on workers\u27 performance. Although previous studies have investigated that relationship, the moderating effect of I4.0 on performance is still underexplored, characterizing an important contribution of this research

Effect of Industry 4.0 on the relationship between socio-technical practices and workers' performance

Abstract Purpose This paper aims to examine the moderating effect of Industry 4.0 (I4.0) technologies on the relationship between socio-technical (ST) practices and workers' health, quality and productivity performance. Design/methodology/approach In this paper, 192 practitioners from different manufacturing firms adopting I4.0 technologies were surveyed, analyzed the collected data using multivariate techniques and discussed the results in light of ST theory. Findings Findings indicate that I4.0 moderates the relationship between ST practices and performance, to an extent and direction that varied according to the focus of the technologies and practices adopted. Originality/value The I4.0 movement has triggered changes in the work organization at unprecedented rates, impacting firms' social and technical aspects. This study bridges a gap in the literature concerning the integration of I4.0 technologies into manufacturing firms adopting ST practices, enabling the verification of the moderating effects on workers' performance. Although previous studies have investigated that relationship, the moderating effect of I4.0 on performance is still underexplored, characterizing an important contribution of this researc