No abstract

In a high-mix and low-volume (HMLV) manufacturing environment where demand fluctuation is the rule rather than the exception, daily production management in face of conflicting key performance indicators such as high delivery precision, short lead time, and maximal resource utilization is a most challenging task. This situation may even be hampered by unreliable supplier performance. This paper presents a generic decision support workflow, which first identifies the most critical external and internal factors which have a serious impact on delivery performance. Next, it suggests a method which combines traditional manufacturing system simulation with advanced machine learning techniques to support the improved daily routine lot-sizing and production scheduling activities in a HMLV company. Argumentation is motivated and illustrated by a detailed industrial case study.

Even though the last few years were filled with all kinds of challenges for companies and universities; we are happy to host once again, the Sixth Agria Conference on Innovative Vehicle Technologies and Automation Solutions, also known as InnoVeTAS2022. This conference series was started as a subset event of the International Pneumobile competition, in order to make it more attractive to students and professors from a wide range of universities in Europe. Today, the InnoVeTAS conference has become an independent scientific forum, which is traditionally held in the middle of May. The International Pneumobile conference date has been moved to September. This being the sixth conference in the series; our event has become one of the major technical and scientific talks in Heves County! Additionally, we are now visible on the venue of Hungarian national conferences! In cooperation with IOP Publishing, this year’s conference proceedings will also be the second time, that it will have been listed in the Scopus index, which is useful for high level researchers. List of Organizing Committee, Scientific Committee, Editorial Committee, Invited Speakers, Organizing Institution, Sponsor are available in the pdf

Napjaink kiélesedett versenyében a technikai-gazdasági döntések meghozatalánál a döntéselőkésztő időszak megrövidítése és a döntések megbízhatóságának növelése egymásnak ellentmondani látszó de elengedhetetlen követelmények. A konkurens tervező tevékenység és a gyártó, szerelő, logisztikai rendszerek szimulációja lehetőséget nyújt az ellentmondás feloldására és a követelmények kielégítésére. A dolgozat gázcsapok összeszerelését végző szerelő rendszerek szimulációján mutatja be a szimulációs technika alkalmazhatóságát.