combining factory simulation with value stream mapping a critical discussion

Abstract Value Stream Mapping (VSM) is employed for the analysis of manufacturing processes. The VSM analysis leads to improve the process through the reduction of non-value added steps. The optimization is often verified by computer simulation (CS) before actual implementation in the factory. The two approaches imply a different underlying conceptual model of production: a deterministic flow of material against a stochastic queuing network. The authors discuss the critical issues, but show, with the help of an automotive case study, that they could produce positive outcomes if the goals are carefully chosen and if some rules of use are respected

Human factor in intelligent manufacturing systems - knowledge acquisition and motivation

Abstract People play a central role in intelligent manufacturing systems because of two reasons: their knowledge is indispensable to create and improve intelligent manufacturing systems; and their motivation is very important to identify and solve causes of the problems which may occur in order to prevent them in the future. Therefore, adequate learning methods are required to accomplish these two goals: empower and motivate people. In this paper innovative methods such as learning by doing, simulations and virtual reality will be presented as the ways to transfer the knowledge about intelligent manufacturing systems and to increase motivation concerning their improvements

Multiple System Dynamics and Discrete Event Simulation for manufacturing system performance evaluation

Abstract In the paper two kind of simulation methods, i.e. system dynamics simulation (SDS) and discrete event simulation (DES), are proposed to simulate orders processing in a manufacturing enterprise. SDS model is applied to simulate non stationary (dynamic) behaviour of the system. This dynamic behaviour emerges from lack of automation (process variability) and complex structure of the system (feedback loops). SDS will be used for manual work. In SDS a productivity curve will be incorporated to see the influence of employees productivity on the manufacturing system. Additionally, in the simulation demand influences on number of workers involved in a manual process will be presented. SDS model is combined with DES model which will be used for work realized on the automatic machines. DES models will be used to simulate the operation of the manufacturing system with different scenarios. Proposed approach allows to evaluate overall performance of the manufacturing system for a selected product family

work sequence analysis and computer simulations of value flow and workers relocations a case study

Abstract Several solutions have been proposed for the workload balancing in manual assembly lines with workers' task assignment. Facing the case study of a sheet metal assembly line of transport pallets, the paper addresses the problem of the dynamic task assignment. The walking path minimization is considered in the problem, together with task sequence constraints. A real-time simulation allows to test the solution variations before their implementation

Skills management in the optimization of aircraft maintenance processes

The aircraft maintenance processes play an important role in a safe operation of an aircraft. Maintenance services organizations take responsibility for the maintenance process and approve the airworthiness of an aircraft after undertaking the maintenance activities. International law determines the quality of aircraft maintenance processes by setting requirements concerning, among other, a quality management system, a safety management system and operators’ competences. As a consequence of the rising number of aircraft in operation, the volume of maintenance activities grows. However, the customers increasingly pose requirements concerning the minimization of the maintenance service lead time. In order to remain competitive, the maintenance service organizations have to reduce the lead time of their services. However, this objective in not easy to attain, since the complexity of aircraft maintenance operations require specific skills and pose a number of organisational and technical constraints to be respected during the maintenance process. In the paper, a mathematical programming model is developed in order to help decision makers in managing the operators’ skills during the operators assignment to the activities to be performed. In particular, the Hall’s marriage theorem is used to formalise complex restrictions of operators assignment to maintenance activities. The objective of the optimization problem is to minimize total makespan time. The model is applied to a case study

tiphys an open networked platform for higher education on industry 4 0

Abstract Objective of Tiphys project is building an Open Networked Platform for the learning of Industry 4.0 themes. The project will create a Virtual Reality (VR) platform, where users will be able to design and create a VR based environment for training and simulating industrial processes but they will be able to study and select among a set of models in order to standardize the learning and physical processes as a virtual representation of the real industrial world and the required interactions so that to acquire learning and training capabilities. The models will be structured in a modular approach to promote the integration in the existing mechanisms as well as for future necessary adaptations. The students will be able to co-create their learning track and the learning contents by collaborative working in a dynamic environment. The paper presents the development and validation of the learning model, built on CONALI learning ontology. The concepts of the ontology will be detailed and the platform functions will be demonstrated on selected use cases

A Virtual Reality Laboratory for Blended Learning Education: Design, Implementation and Evaluation

Launched during the pandemic, the EU-funded JANUS project aimed to ensure the continuity of student workshops at universities using a virtual reality (VR) robotics laboratory. With the return to normality, the project has been redesigned to capitalise on the positive outcomes of the experience. The VR lab provides safe and unrestricted access to the labs and experiments with the machines, reducing the consequences of student mistakes and improving the user experience by allowing the experiment to be repeated from different angles, some of which are impossible to access in the real lab. In addition, integration with an interactive learning platform called “ViLLE” allows for continuous assessment of the learning experience. Self-evaluation of the material taught and learned can be integrated with the execution of the exercises that pave the way for Kaizen. Two VR workshops for the blended learning of robotics were developed during the JANUS project. Their evaluation reported favourable responses from the students whose learning performance was indirectly measured

Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals

The emerging of the fourth industrial revolution, also known as Industry 4.0 (I4.0), from the advancement in several technologies is viewed not only to promote economic growth, but also to enable a greener future. The 2030 Agenda of the United Nations for sustainable development sets out clear goals for the industry to foster the economy, while preserving social well-being and ecological validity. However, the influence of I4.0 technologies on the achievement of the Sustainable Development Goals (SDG) has not been conclusively or systematically investigated. By understanding the link between the I4.0 technologies and the SDGs, researchers can better support policymakers to consider the technological advancement in updating and harmonizing policies and strategies in different sectors (i.e., education, industry, and governmental) with the SDGs. To address this gap, academic experts in this paper have investigated the influence of I4.0 technologies on the sustainability targets identified by the UN. Key I4.0 element technologies have been classified to enable a quantitative mapping with the 17 SDGs. The results indicate that the majority of the I4.0 technologies can contribute positively to achieving the UN agenda. It was also found that the effects of the technologies on individual goals varies between direct and strong, and indirect and weak influences. The main insights and lessons learned from the mapping are provided to support future policy

Pielęgniarstwo na rzecz milenijnych celów rozwoju. Cz. 2

Praca recenzowana / Peer-reviewed paperZ przyjemnością oddajemy w Państwa ręce drugi tom monografii wydanej z okazji XII Kongresu Pielęgniarek Polskich w Krakowie, w którym udział wzięło blisko 500 pielęgniarek, zaprezentowano 160 prac w 9 sesjach. Ta kolejna już publikacja świadczy o dynamicznym rozwoju badań naukowych w pielęgniarstwie. Dowodzi, że pielęgniarstwo to nie tylko zawód, ale i interdyscyplinarna nauka