Lean and green production was introduced to the western manufacturing industry nearly thirty years ago. The essence of the new business model was to eliminate waste through lean tools according to Taiichi Ohno's eight categories of waste. Many companies became more competitive with waste reduction techniques but some of them faced, and still are facing failures. Such failures are closely related with misapplication of lean and green tools, and its sequential order of implementation. In order to define most powerful lean tools for reduction of certain types of waste, a study was made among lean companies. The concept of a study was to define best lean toolbox for reduction of each category of waste and to determine right sequential order of lean tools implementation. Stepwise multiple regression model revealed that Total Productive Maintenance, Poka-Yoke, Kaizen, 5S, Kanban, Six Big Losses, Heijunka, Takt Time, Andon, OEE, SMED, and KPIs are best waste management techniques. Nevertheless, it has been demonstrated that 5S, Kaizen, Kanban, Poka-Yoke and TPM are highly recommended for start of every lean manufacturing initiative.

Market positioning, i.e., the competitiveness of European shipyards, depends a lot on the measures of continuously improving the business processes, therefore meeting the criteria of environmental protection and sustainable energy. Lean management enables ongoing improvements of all system processes by recognizing and removing the unnecessary costs of the same, i.e., those activities which do not contribute to the added value for the customer. In this paper, the authors research the magnitude of improvements in the shipbuilding sales process achieved by applying the Lean tool “Value Stream Mapping” (VSM). The example of analysing the informational stream of the studied European shipyard’s existing sales process, performed by implementing the VSM, has defined the measures to decrease the losses in the process, with an emphasis on waiting time in internal and external communication. Upon VSM of the future state, measuring improvements realised by applying key performance indicators began. Significant cost savings in the sales process and the simultaneous increase of productivity of the employees participating in those process activities have been noted, as well as the substantial growth in sales and the shipyard’s income.

The goal of this article is to explore the link between lean and green management, reasons for their implementation, their effect throughout the whole life cycle, as well as the current state of use of lean tools, economic and environmental indicators in the context of Croatian manufacturing companies. A semi-structured interview was used in this research. As a result, the frequency of economic and environmental performance indicators and lean tools in Croatian companies has been defined, as well as the reasons for the implementation of lean management. Additionally, the understanding of the use of Life Cycle Assessment methods, environmental standards has been obtained and the integration of lean and green management in Croatian companies has been explored. Further on, results were compared to the similar study done in the UK. Finally, it can be concluded that the integration of lean and green management is not yet sufficiently present in manufacturing companies, although there are cases in which these two approaches are integrated, primarily in the process and food industry. It is for these reasons that in the integration of these two approaches lies great potential.

Accelerated technology developments caused by Industry 4.0 create problems in its implementation. One of the most important factors that hinder the transition of companies is ignorance and, therefore, the fear of new technologies present among employees. Learning factories have proven to be one of the best solutions for introducing employees to the technologies of Industry 4.0. Croatia is significantly behind in implementing the features of Industry 4.0, especially compared to more developed countries. To facilitate the transition of the Croatian industry to Industry 4.0, it is necessary to acquaint existing and future employees with its technologies through learning factories. There is currently only one learning factory in Croatia, which is too few. This paper presents the process of design and establishment of a learning factory at the Faculty of Mechanical Engineering and Naval Architecture in Zagreb, which facilitates research work and education of students and employees with Industry 4.0.

No abstract

The issues of many organizations are related to the proper evaluation of human performance and efficient decision-making. The expert system application within the decision-making process is not a novelty, but the widespread of its implementation regarding performance evaluation has not been recognized yet. To overcome this problem, a case study of rule-based expert system application in the decision-making process regarding human performance in periodical technical inspection stations in Croatia is presented. The rule-based expert system improves the quality of traditional decision-making as designed rules provide a visual, transparent, and accurate comparison of observed values with the expected values. Moreover, it provides easy problem identification. Therefore, rules regarding periodical technical inspection inspectors’ performance are designed and embedded in the expert system architecture. However, more effort should be made into data analysis to define parameters and their relations for the purpose of designing rules. Thus, the binary logistic regression and an ANOVA statistical test were conducted to identify which parameters can be assumed as relevant indicators regarding the performance of periodical technical inspection inspectors. In this study, the expert system application has resulted in faster response, greater efficiency, and increased objectivity. That is of utmost importance for providing an efficient and transparent periodical technical inspection system.

Environmental sustainability of the transport sector is a highly important issue today. The European Commission has made a goal of delivering a minimum 60% reduction in greenhouse gas emissions from transport by 2050. Part of this reduction will come from the railway sector by making the maintenance processes more environmentally friendly. This paper presents the results of the environmental assessment of the self-propelled bulk carriage (SPBC), an innovative new product aiming to decrease the environmental impact of the railway maintenance processes. The life cycle assessment (LCA) methodology was used in the study, and environmental impact is given in five impact categories based on the CML 2001 method through three main modules of the self-propelled bulk carriage life cycle: upstream, core, and downstream. The novelty of the research includes the fact that this is the first life cycle assessment study done for the bulk carriage, as well in that the authors have proposed the use of a new functional unit in the category of freight railway vehicles. The biggest environmental impact of the self-propelled bulk carriage across all five categories is in the use and maintenance phase of its life cycle and mainly due to diesel fuel use. The SPBC uses significantly less fuel than a conventional diesel locomotive.

No abstract