@article{LirnBremerYeoetal., author = {Lirn, Taih-Cherng and Bremer, Peik and Yeo, Gi Tae and Shang, Kuo-Chung and Jiun, Liu Chen}, title = {A Study on the Quality Management of Containerised Grains in Asia}, series = {The Asian Journal of Shipping and Logistics}, volume = {34}, journal = {The Asian Journal of Shipping and Logistics}, number = {2}, doi = {10.1016/j.ajsl.2018.06.002}, pages = {53 -- 60}, abstract = {To make the best use of the imbalance of container flows between Asia and North America, containers are employed to carry grain cargoes from North America to Asia. Three criteria and nine sub-criteria were used to help control the quality of the grain cargoes shipped in containers. AHP technique is employed through a survey to major containerised grain cargo shippers, consignees, and ocean carriers to measure the degree of importance of the determinants influencing the quality of grains transported by containers. Without appropriate facilities and strategies, containerised grains mildewed easily during ocean voyage. Researching findings provide strategies to effectively reduce the damage rate of containerized grains cargo and improve the quality of the origin of food supply chain.}, language = {en} } @article{Meyer, author = {Meyer, Peter}, title = {Rezension zu "Vertriebsrecht" von Eckhard Flor \& Ulf Wauschkuhn (2023)}, series = {Zeitschrift f{\"u}r Vertriebsrecht}, volume = {12}, journal = {Zeitschrift f{\"u}r Vertriebsrecht}, number = {6}, edition = {3.}, pages = {408 -- 408}, language = {de} } @article{Engelmann, author = {Engelmann, Bastian}, title = {Towards Material-Batch-Aware Tool Condition Monitoring}, series = {Journal of Manufacturing and Materials Processing}, volume = {5}, journal = {Journal of Manufacturing and Materials Processing}, number = {4}, issn = {2504-4494}, abstract = {In subtractive manufacturing, process monitoring systems are used to observe the manufacturing process, to predict maintenance actions and to suggest process optimizations. One challenge, however, is that the observable signals are influenced not only by the degradation of the cutting tool, but also by deviations in machinability among material batches. Thus it is necessary to first predict the respective material batch before making maintenance decisions. In this study, an approach is shown for batch-aware tool condition monitoring using feature extraction and unsupervised learning to analyze high-frequency control data in order to detect clusters of materials with different machinability, and subsequently optimize the respective manufacturing process. This approach is validated using cutting experiments and implemented as an edge framework.}, language = {en} } @article{SchmittEngelmann, author = {Schmitt, Anna-Maria and Engelmann, Bastian}, title = {A Series Production Data Set for Five-Axis CNC Milling}, series = {Data}, volume = {9}, journal = {Data}, number = {5}, publisher = {MDPI}, issn = {2306-5729}, doi = {10.3390/data9050066}, abstract = {The described data set contains features from the machine control of a five-axis milling machine. The features were recorded during thirteen series productions. Each series production includes a changeover process in which the machine was set up for the production of a different product. In addition to the timestamps and the twenty recorded features derived from Numerical Control (NC) variables, the data set also contains labels for the different production phases. For this purpose, up to 23 phases were assigned, which are based on a generalized milling process. The data set consists of thirteen .csv files, each representing a series production. The data set was recorded in a production company in the contract manufacturing sector for components with real series orders in ongoing industrial production.}, language = {en} } @article{Wiesner, author = {Wiesner, Knut}, title = {Erfolg f{\"u}r Citycards?}, series = {Direkt Marketing}, journal = {Direkt Marketing}, number = {10}, address = {Ettlingen}, pages = {44}, language = {de} } @article{SchmittEngelmann, author = {Schmitt, Anna-Maria and Engelmann, Bastian}, title = {A Series Production Data Set for Five-Axis CNC Milling}, series = {Data}, volume = {2024}, journal = {Data}, number = {9}, pages = {1 -- 9}, language = {en} } @article{Wiesner, author = {Wiesner, Knut}, title = {Kunde erkennt gek{\"u}nstelte Trends}, series = {Travel Tribune}, volume = {10}, journal = {Travel Tribune}, number = {08}, address = {Frankfurt}, pages = {12 -- ff.}, language = {de} } @article{GerholzSailerBeckertetal., author = {Gerholz, Karl-Heinz and Sailer, Sabrina and Beckert, Johannes and Dobhan, Alexander}, title = {F{\"o}rderung digitaler Kompetenzen in der wirtschaftswissenschaftlichen Hochschullehre}, series = {Die Hochschullehre 36/2021}, volume = {7}, journal = {Die Hochschullehre 36/2021}, number = {1}, edition = {1.}, publisher = {wbv Publikation}, doi = {10.3278/HSL2136W}, pages = {422 -- 435}, abstract = {Die digitale Transformation ver{\"a}ndert die zuk{\"u}nftigen beruflichen Handlungsfelder der Studierenden, weshalb die dom{\"a}nenspezifische F{\"o}rderung digitaler Kompetenzen in den Fokus r{\"u}ckt. Eine Facette im betriebswirtschaftlichen Bereich stellen hierbei ERP-Anwendungen dar, die digital strukturiert Gesch{\"a}ftsprozesse in Unternehmen steuern. Im Beitrag wird das didaktische Design eines Onlinekurses und dessen Entwicklungsprozess vorgestellt. Digitale Kompetenzen sollen hier {\"u}ber didaktische Elemente des problembasierten, begleitungsorientierten und selbstregulierten Lernens gef{\"o}rdert werden. Ergebnisse der ersten Testung in Form einer Persona-Analyse illustrieren, dass die Bandbreite der didaktischen Designelemente die Heterogenit{\"a}t der Studierenden aufnehmen kann.}, language = {de} } @article{Bremer, author = {Bremer, Peik}, title = {Towards a reference model for the cold chain}, series = {The International Journal of Logistics Management}, volume = {29}, journal = {The International Journal of Logistics Management}, number = {3}, publisher = {Emerald Publishing Limited}, issn = {0957-4093}, doi = {10.1108/IJLM-02-2017-0052}, pages = {822 -- 838}, abstract = {Purpose: Generic business process models for the supply chain do not cover the specific requirements of the cold chain catering to the needs of temperature-sensitive, perishable goods. The purpose of this paper is to draft a reference model specific to the cold chain. Design/methodology/approach: Following an object-oriented modeling approach, conceptual elements that have been synthesized from a literature review are transferred into the static view (object model) of the reference model. In addition, the reference model's dynamic properties representing the business process view are outlined. Findings: While a few atomic process steps are sufficient to model the cold chain's dynamic properties, the complexity of the cold chain lies in the object model. The classes of the object model are highly interrelated and cover four domains: perishable product, information technology, infrastructure/equipment and regulatory framework. This technical approach is more adequate to the complex nature of cold chains than typical business process models. Research limitations/implications: In the present draft status, the reference model is limited by the pure conceptual approach of this paper. As it is in the nature of things for a draft of a reference model, case studies to challenge the draft and a discourse of experts are required before detailed specifications can be added or any software implementation can be started. It is expected that the reference model is able to substantially support further research on cold chain design and optimization. Practical implications: The cold chain reference model is intended to be a standard toolbox for planning and evaluating cold chains. By integrating the technical, information technology and regulatory objects behind the business processes, it allows to design and analyze cold chains from a more holistic perspective. Originality/value: To the best knowledge of the author, this paper is the first to outline a reference model for the cold chain that goes beyond the business processes.}, language = {en} } @article{GeorgeBijuSchmittEngelmann, author = {George Biju, Vinai and Schmitt, Anna-Maria and Engelmann, Bastian}, title = {Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines}, series = {Sensors}, volume = {2024}, journal = {Sensors}, language = {en} }