Proceedings of the 2nd Conference on Production Systems and Logistics (CPSL 2021)

Proceedings of the CPSL 202

Ansatz zur Unterstützung von Wissenstransfer und Entscheidungsfindung bei der Produktentwicklung mit faserverstärkten Kunststoffen durch Bereitstellung von situationsspezifischen Gestaltungsrichtlinien = Approach to support knowledge transfer and decision making in product development with fibrereinforced plastics through situation-specific design guidelines

„Denn Wissen selbst ist Macht" ist ein Satz, der vor langer Zeit von Francis Bacon geschrieben wurde. Im Laufe der Zeit hat nicht nur das Wissen an Bedeutung gewonnen, sondern vor allem auch der Umgang damit. Die Aussage "Wenn wir nur wüssten, was wir wissen" (Davenport & Prisak, 1998) ist zutreffend für viele Unternehmen. Es ist nicht mehr ein Mangel an Informationen, sondern ein Informationsüberschuss, der problematisch geworden ist. Die Möglichkeit, erfahrungsbasierte sowie entwicklungsrelevante Informationen in jeder Phase der Produktentwicklung zu finden und anzuwenden, hat zunehmend an Bedeutung für mittelständische und große Unternehmen gewonnen. Computergestützte Systeme leisten zusammen mit den Fortschritten der Informations- und Kommunikationstechnologien in den letzten Jahrzehnten einen wesentlichen Beitrag zur Unterstützung des Wissensmanagements. Eine Herausforderung liegt derzeit weniger in den Informationstechnologien als vielmehr in der Entwicklung, Einführung und der kontinuierlichen Weiterentwicklung von Methoden für einen effizienten Umgang mit Wissen. Nicht nur die Unterstützung bei der Suche nach Informationen, sondern auch Methoden, die die qualitative, zielorientierte Erfassung und Dokumentation von relevantem Erfahrungswissen unterstützen, sind notwendig. Diese Arbeit trägt dazu bei, die Entscheidungsfindung in den frühen Phasen der Produktentwicklung mit faserverstärkten Kunststoffen zu unterstützen. Einerseits steht die Entwicklung eines Ansatzes zur Verbesserung des Wissenstransfers durch repräsentative Informationsdokumentation in Gestaltungsrichtlinien im Vordergrund. Als Grundlage für die Entwicklung des Ansatzes dient eine umfassende Analyse der bestehenden Gestaltungsrichtlinien für faserverstärkte Kunststoffe in der Literatur, Interviews mit Industrievertretern und die Durchführung von Studien. Andererseits steht auch ein Ansatz zur effizienten Entscheidungsunterstützung durch die Bereitstellung von situationsgerechten Informationen in Gestaltungsrichtlinien im Vordergrund. Eine Analyse verschiedener Methoden der multikriteriellen Entscheidungsunterstützung, einschließlich deren Bewertung auf die Eignung für den Einsatz, sowie die Erstellung einer Testumgebung zur Validierung des entwickelten Algorithmus zur Bereitstellung interaktiver Informationen in Gestaltungsrichtlinien trugen zur Konzeptentwicklung bei

MoDOT Pavement Preservation Research Program

The following report documents a research project on pavement preservation performed by the Missouri University of Science and Technology (Missouri S&T) and the University of Missouri-Columbia (UMC) on behalf of the Missouri Department of Transportation (MoDOT). the report consists of a Summary Report followed by six detailed technical reports. to achieve the goal of reducing maintenance costs and improving minor road ratings, MoDOT has embarked upon a plan of formalizing its maintenance/preservation planning. to assist in developing the plan, MoDOT contracted with the Missouri S&T and UMC to conduct a research project, entitled MoDOT Pavement Preservation Research Program . the product of this research would become a part of MoDOT’s overall Pavement Management System. the overall objective of the research was to provide a process that would allow MoDOT to do more selective planning, better engineering and more effective maintenance to minimize costs while maintaining adequate safety and performance of Missouri’s pavements. Six Guidance Documents were to ultimately be created which would act as guidelines for MoDOT’s Pavement Specialists and Engineers. the work was divided into six Tasks, each with its own research team

Advances in Robotics, Automation and Control

The book presents an excellent overview of the recent developments in the different areas of Robotics, Automation and Control. Through its 24 chapters, this book presents topics related to control and robot design; it also introduces new mathematical tools and techniques devoted to improve the system modeling and control. An important point is the use of rational agents and heuristic techniques to cope with the computational complexity required for controlling complex systems. Through this book, we also find navigation and vision algorithms, automatic handwritten comprehension and speech recognition systems that will be included in the next generation of productive systems developed by man

PRESERVING THE VERNACULAR POSTINDUSTRIAL LANDSCAPE: BIG DATA GEOSPATIAL APPROACHES TO HERITAGE MANAGEMENT AND INTERPRETATION

Redundant historical industrial sites, or postindustrial landscapes, face numerous preservation challenges. Functionally obsolete, and often derelict and decaying, these cultural landscapes often retain only a fraction of their original infrastructure. With their historical interconnections made indistinct by their physical separation and obscured by the passage of time, surviving remnants are isolated and disjunct, confounding both their legibility and their consideration for formal historic preservation. Nevertheless, they persist. This dissertation presents a theoretical understanding of the nature of postindustrial landscape preservation, and argues that the material persistence of its historical constituents is the result of previously overlooked processes of informal material conservation, here termed vernacular preservation. Further, this dissertation examines ways that heritage professionals can manage and interpret these vast, complex, and shattered landscapes, using 21st-century digital and spatial tools. Confronted by ongoing depopulation and divestment, and constrained by limited financial capacity to reverse the trend of blight and property loss, communities and individuals concerned with the preservation of vernacular postindustrial landscapes face many unique management and interpretation challenges. The successful heritagization of the postindustrial landscape depends on its comprehension, and communication, as a historically complex network of systems, and I argue that utilizing advanced digital and spatial tool such as historical GIS and procedural modeling can aid communities and heritage professionals in managing, preserving, and interpreting these landscapes. This dissertation presents heritage management and interpretation strategies that emphasize the historical, but now largely missing, spatial and temporal contexts of today’s postindustrial landscape in Michigan’s Copper Country. A series of case studies illustrates the demonstrated and potential value of using a big-data, longitudinally-linked digital infrastructure, or Historical GIS (HGIS), known as the Copper Country Historical Spatial Data Infrastructure (CC-HSDI), for heritage management and interpretation. These studies support the public education and conservation goals of the communities in this nationally-significant mining region through providing accessible, engaging, and meaningful historical spatiotemporal context, and by helping to promote and encourage the ongoing management and preservation of this ever-evolving postindustrial landscape

NASA scientific and technical publications: A catalog of special publications, reference publications, conference publications, and technical papers, 1989

This catalog lists 190 citations of all NASA Special Publications, NASA Reference Publications, NASA Conference Publications, and NASA Technical Papers that were entered into the NASA scientific and technical information database during accession year 1989. The entries are grouped by subject category. Indexes of subject terms, personal authors, and NASA report numbers are provided

Identification of cost-effective pavement management systems strategies a reliable tool to enhance pavement management implementations

Modeling asset deterioration is a key business process within Transportation Asset Management. Road agencies should budget a large amount of public money to reduce the number of accidents and achieve a high level of service of the road system. Managing and preserving those investments is crucial, even more in the actual panorama of limiting funding. Therefore, roadway agencies have to increase their efforts on monitoring pavement networks and implementing data processing tools to promote cost-effective Pavement Management System (PMS) strategies. A comprehensive PMS database, in fact, ensures reliable decisions based on survey data and sets rules and procedures to analyze data systematically. However, the development of adequate pavement deterioration prediction models has proven to be difficult, because of the high variability and uncertainty in data collection and interpretation, and because of the large quantity of data information from a wide variety of sources to be processed. This research proposes a comprehensive methodology to design and implement pavement management strategies at the network level, based on road agency local conditions. Such methodology includes the identification of suitable indexes for the pavement condition assessment, the design of strategies to collect pavement data for the agency maintenance systems, the development of data quality and data cleansing criteria to support data processing and, at last, the implementation spatial location procedures to integrate pavement data involved in the comprehensive PMS. This work develops network-level pavement deterioration models, and reviews road agency preservation policies, to evaluate the effectiveness of maintenance treatment, which is essential for a cost-effective PMS. It is expected that the resulting methodology and the developed applications, product of this research, will constitute a reliable tool to support agencies in their effort to implement their PMS

Proceedings of the Conference on Production Systems and Logistics: CPSL 2022

[no abstract available

Decision Support Systems

Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference