Refine
Year of publication
Document Type
- Article (72)
- Conference Proceeding (50)
- Book (23)
- Part of a Book (23)
- Bachelor Thesis (2)
- Other (1)
- Part of Periodical (1)
- Report (1)
- Working Paper (1)
Is part of the Bibliography
- yes (174)
Keywords
- manufacturing (2)
- BEST-FIT (1)
- CNC machine tools (1)
- Deep learning (1)
- Energy consumption (1)
- Erfahrungsbasiertes Lernen (1)
- G-code (1)
- Gründerausbildung (1)
- Handlungsorientierte Didaktik (1)
- Lean Start-Up (1)
Institute
- Fakultät Wirtschaftsingenieurwesen (174) (remove)
Computerized Numeric Control (CNC) plays an essential role in highly autonomous manufacturing systems for interlinked process chains for machine tools. NC-programs are mostly written in standardized G-code. Evaluating CNC-controlled manufacturing processes before their real application is advantageous due to resource efficiency. One dimension is the estimation of the energy demand of a part manufactured by an NC-program, e.g. to discover optimization potentials. In this context, this paper presents a Machine Learning (ML) approach to assess G-code for CNC-milling processes from the perspective of the energy demand of basic G-commands. We propose Latin Hypercube Sampling as an efficient method of Design of Experiments to train the ML model with minimum experimental effort to avoid costly setup and implementation time of the model training and deployment.
In the context of environmental protection, the construction industry plays a key role with significant CO2 emissions from mineral-based construction materials. Recycling these materials is crucial, but the presence of hazardous substances, i.e., in older building materials, complicates this effort. To be able to legally introduce substances into a circular economy, reliable predictions within minimal possible time are necessary. This work introduces a machine learning approach for detecting trace quantities (≥0.06 wt%) of minerals, exemplified by siderite in calcium carbonate mixtures. The model, trained on 1680 X-ray powder diffraction datasets, provides dependable and fast predictions, eliminating the need for specialized expertise. While limitations exist in transferability to other mineral traces, the approach offers automation without expertise and a potential for real-world applications with minimal prediction time.
This paper presents a model for end-user-based evaluation of the usability of mobile ERP systems. Recent studies show that the mobile use of ERP software is both, crucial for user satisfaction and still improvable for many ERP systems. Therefore, ERP-specific usability models are necessary to meet the requirements of ERP systems in comparison to e.g., apps for private use. The research objective is therefore to develop a model that enables software providers to measure and benchmark the usability of their software products. Therefore, we introduce after a literature research a usability model for the mobile application of ERP systems (mobile ERP). Our usability model is based on the widely used PACMAD model. We modify the PACMAD model for the context of ERP systems. This results in a new end-user-based model, that differs from existing models, because of its focus on end-users and the ERP context. Subsequently, the model will be tested in an initial study with 19 test persons. The results of the study indicate two main findings. Firstly, the model allows the measurement of the usability of mobile ERP systems. Secondly, some key factors substantially affect the usability of mobile ERP systems.
This article covers the development of a specific model for the end-user-based evaluation of the usability of Mobile ERP systems employing eye-tracking technology. Recent studies show that the mobile use of ERP software is significant, even though there is also room for improvement. Simultaneously, it is undisputed that ERP-specific usability models are necessary to meet the specific requirements of ERP systems. Therefore, we examine usability dimensions in the Mobile ERP context in a first, preliminary study. In addition, we investigate how eye-tracking technology can support the usability measurement for each usability dimension. Therefore, after a detailed literature analysis, a usability model for the mobile application of ERP systems (Mobile ERP) is developed. Subsequently, we summarize the results of a first explorative preliminary study with 19 test persons. The results show that the model allows the usability of mobile ERP systems to be classified and that few decisive factors contribute to the perception of good usability in ERP systems. In the third part of this paper (after literature review and usability study), we introduce an overview of eye-tracking metrics for MERP-U to examine which MERP-U dimensions eye-tracking measures.
The term mobility has different meanings in the following science disciplines. In economics, mobility is the ability of an individual or a group to improve their economic status in relation to income and wealth within their lifetime or between generations. In information systems and computer science, mobility is used for the concept of mobile computing, in which a computer is transported by a person during normal use. Logistics creates by the design of logistics networks the infrastructure for the mobility of people and goods. Electric mobility is one of today’s solutions from an engineering perspective to reduce the need of energy resources and environmental impact. Moreover, for urban planning, mobility is the crunch question about how to optimize the different needs for mobility and how to link different transportation systems. In this publication we collected the ideas of practitioners, researchers, and government officials regarding the different modes of mobility in a globalised world, focusing on both domestic and international issues.
Transitioning to a net-zero economy requires a nuanced understanding of homeowners’ decision-making pathways when considering the adoption of Low Carbon Technologies (LCTs). These LCTs present both personal and collective benefits, with positive perceptions critically influencing attitudes and intentions. Our study analyses the relationship between two primary benefits: the household-level financial gain and the broader environmental advantage. Focusing on the German homeowners’ intention to adopt Rooftop Photovoltaic Systems, Energy Efficient Appliances, and Green Electricity Tariffs, we employ Partial Least Squares Structural Equation Modeling to demonstrate that the adoption intention of the LCTs is underpinned by the Theory of Planned Behaviour. Our research also highlights the pivotal role of perceived benefits in shaping attitudes and intentions. Attitudes towards the LCTs are more strongly related to product-specific benefits than affective constructs. In terms of evaluative benefits, environmental benefits exhibit a higher positive association with attitude formation compared to financial benefits. However, this relationship switches as homeowners move through the decision process with the financial benefits of selected LCTs having a consistently higher association with adoption intention. At the same time, financial benefits also positively affect attitudes. Observing this trend across both low- and high-cost LCTs, we recommend that policymakers and businesses enhance homeowners’ awareness of the personal advantages and implement strategies to make these financial benefits more tangible and accessible.
Chlor-alkali electrolysis plays a significant role in Germany's electricity demand, with a share of >2%. It offers a promising avenue for leveraging demand response strategies. In times of escalating electricity prices, load shifting can help to maintain economic competitiveness of domestic industries. This study aims to assess the potential for electricity cost savings and related CO2 emission reductions through optimal load shifting practices for chlor-alkali electrolysis, considering both current and projected future electricity prices. The research employs the mixed-integer energy system modeling framework IRPopt to model and optimize a chlorine value chain under various scenarios. A sensitivity analysis is conducted to identify the primary factors driving electricity cost savings. The findings reveal that, based on the 2019 electricity price distribution (before pandemic and energy crisis), load shifting can yield electricity cost savings of 5.8% and CO2 emission reductions of 2.7%. As the share of variable renewable energy sources increases along with other driving factors, the electricity price spread is projected to rise from 28% in 2019 to an average of 87% in 2040 scenarios. Consequently, electricity cost savings rise up to 22% and CO2 emission reductions up to 10%. The primary drivers behind electricity cost savings include electricity price spreads and the utilization and operating range of the electrolyzer. In addition to the business-level advantages, the resulting decrease in residual load and lower CO2 emissions contribute to the integration of variable renewable energy sources and the achievement of decarbonization targets at the economic level.
Die zentrale Idee des Internet of Things (IoT) ist die digitale Vernetzung und der damit einhergehende Informationsfluss zwischen unterschiedlichen Objekten. Der Informationsaustausch wird mit Hilfe von entsprechenden Protokollen realisiert. Ziel der Untersuchung ist eine Analyse des betrieblichen Entscheidungsprozesses zur Protokollauswahl auf der Application Layer sowie die Identifikation und Beschreibung der zu berücksichtigenden Entscheidungsparameter. Um dieses Ziel zu erreichen,
wurden Experteninterviews durchgeführt und im Rahmen einer qualitativen Inhaltsanalyse ausgewertet. Zentrales Ergebnis aus dieser Untersuchung ist eine Übersicht über Entscheidungsparameter zur Protokollauswahl in Abhängigkeit vom Anwendungskontext.
Dem Management von Mehrwegbehältern kommt in der nachhaltigen Logistik eine zentrale Bedeutung zu. Gleichzeitig sorgen Inlays und steigenden Behälteranforderungen durch die Robotik für Variantenreichtum hinsichtlich der Behälter. Die Digitalisierung und teilweise Automatisierung kann, die Effizienz und die Transparenz des Behältermanagements steigern. Ziel dieses Beitrags ist es, mit einer entsprechenden Studie in einer Laborumgebung zu zeigen, wie Computer-Vision-Systeme zur Digitalisierung im Behältermanagement beitragen können.
Bereits seit den 1980er Jahren ist der Datenaustausch zwischen Enterprise Ressource Planning-Systemen via Electronic Data Interchange (EDI) ein wichtiger Bestandteil der firmenübergreifenden Kommunikation und ist zur Planung von Materialflüssen in Supply Chains längst nicht mehr wegzudenken. Die Frage ist, inwieweit sich EDI und hier insbesondere webbasiertes EDI (WebEDI) als einfach anzuwendende EDI-Form auch in kleinen und mittelständischen Unternehmen (KMU) etablieren konnte und was mögliche Hindernisse und Ablehnungsgründe dabei waren. Die vorliegende Forschungsarbeit untersucht deshalb die Akzeptanz insbesondere von WebEDI durch deutsche KMU in der Branche Maschinenbau.
Eine Methode zur Bestimmung eines Abbruchkriteriums für die strategische Standortentscheidung
(2019)
Decisions on location planning are complex strategic business decisions involving a considerable number of risks for a company´s management. To reduce the general risk of making a wrong decision literature offers a wide range of different approaches (Krebs & Reinhart, 2012). All of these methods base on one similar key fact – the decision quality increasing with the amount and detail level of the used parameters. Therefore, the conference paper addresses the finding of a general abort criterion, by finding the right decision parameters and reduce them to a reasonable number.
Machine tool selection and quotation costing have a low level of automation in today's engineer-to-order environments. The decision-making process is based on imprecise human judgment even if all final product characteristics are known. To improve precision and save time, we propose to apply artificial neural networks that are trained on data of already produced products. In particular, we address the selection of several grinding wheels to produce a milling cutter, which is a multiple-criteria decision, using multi-label classification. The quotation costing is a single output regression problem. In both tasks, our results on real-world data show high accuracy.
Process Mining (PM) basiert auf einer automatisierten Auswertung von Datenpunk-
ten, die während der operativen Geschäftsprozessausführung innerhalb von Unter-
nehmen entstehen. Das Verständnis für und die Befähigung zum Einsatz von PM
stellen Bausteine zur Steigerung der Digital Literacy im beruflichen Umfeld dar. Ziel
dieser Arbeit ist es beispielhaft zu untersuchen, in welcher Form Game-Based-Learn-
ing (GbL) und Gamification (GF)-Designelemente in der Vermittlung von PM einge-
setzt werden. Dazu wird im Folgenden zunächst der Stand der Forschung zum PM,
zur Digital Literacy (DL) und zum spielerischen Lernen dargestellt, bevor an einem
Anwendungsfall der Einsatz von GF und GbL Elementen gezeigt wird.
The European Union is striving to achieve the goal of a climate-neutral Europe by 2050. A crucial factor for achieving this goal is the so-called twin transition. It describes the simultaneous digital and sustainable transition of the European economy. If implemented correctly, ongoing digitization contributes significantly to the desired sustainability. It, in turn, also means that digital processes supported by software should consider sustainability goals. Business software and, in particular, Enterprise Resource Planning (ERP) systems are the most applied tool for the digitization of business processes. For a successful twin transition, it is crucial to combine the idea of sustainability with ERP systems. For this purpose, we conduct a literature analysis. The outcome shows that some research work regarding sustainability and ERP systems and their implementation as a whole exists already. However, a detailed process- oriented examination about the consideration of sustainability in ERP-based business processes is still missing. It should focus on the specific decision processes of business processes and functions within ERP systems. For generating impact on sustainability, the decision-making processes are of particular interest. Therefore, our research aims to examine the twin transition of decision-making processes in ERP-supported business processes. The focus is on considering sustainability in these decisions. Thus, we introduce an approach that integrates both the ERP support by automation and the consideration of sustainability. Subsequently, we apply the model to the process of creating a purchase requisition.
The term mobility has different meanings in the following science disciplines. In economics, mobility is the ability of an individual or a group to improve their economic status in relation to income and wealth within their lifetime or between generations. In information systems and computer science, mobility is used for the concept of mobile computing, in which a computer is transported by a person during normal use. Logistics creates by the design of logistics networks the infrastructure for the mobility of people and goods. Electric mobility is one of today’s solutions from an engineering perspective to reduce the need of energy resources and environmental impact. Moreover, for urban planning, mobility is the crunch question about how to optimize the different needs for mobility and how to link different transportation systems. In this publication we collected the ideas of practitioners, researchers, and government officials regarding the different modes of mobility in a globalised world, focusing on both domestic and international issues.
Zweck:
Ziel dieser Arbeit ist es den aktuellen Stand der Forschung im Bereich Process Mining abzubilden und die verschiedenen Anwendungsbereiche und -studien, sowie die in der Literatur verwendeten Process-Mining-Techniken herauszuarbeiten und zu vergleichen. Die Literaturanalyse gibt Aufschluss darüber, inwieweit Process Mining im Speziellen im Mehrwegbehältermanagement und unter der Integration von Kontextinformationen und -bewusstsein Anwendung findet. Die Basis der Analyse bildet die zentrale Forschungsfrage: „Wie können mit Ereignisdaten verknüpfte Kontextinformationen bei der Anwendung von Process Mining im Mehrwegbehältermanagement berücksichtigt werden?“.
Methodisches Vorgehen:
Um die aktuellen Forschungsthemen im Bereich Process Mining zu ermitteln wurde eine systematische Literaturrecherche mittels ausgewählter wissenschaftlicher Datenbanken, unter Berücksichtigung definierter Ausschlusskriterien, durchgeführt. Für die Analyse werden themenrelevante und aktuelle Veröffentlichungen herangezogen.
Ergebnisse:
Im Bereich Mehrwegbehältermanagement und Process Mining wird deutlich, dass nur wenige Veröffentlichungen existieren. Bei der Recherche wurde deshalb auch Literatur aus der Logistik im Allgemeinen berücksichtigt. Deutlich wird die Herausforderung der Datenstrukturierung bei der Anwendung von Process Mining in einem organisationsübergreifenden Prozessumfeld, wie der Logistik. Die Berücksichtigung von Kontextinformationen im Process Mining hat das Potenzial die Process-Mining-Ergebnisse zu verbessern. Kontextbewusstsein wird im Process Mining oft vernachlässigt und diese Literaturanalyse zeigt, dass auf diesem Gebiet noch weiterer Forschungsbedarf besteht. Einschränkungen/Konsequenzen: Die Analyse zeigt den aktuellen Forschungsstand im Bereich Process Mining und Logistik unter Berücksichtigung von Kontextinformationen. Durch die begrenzte Auswahl an Datenbanken und die fest definierten Suchkriterien ist die Literaturanalyse auf diesen Bereich beschränkt. Weitere Anwendungsfelder von Process Mining werden deshalb nicht berücksichtigt.