426 research outputs found
Supply chain planning in the food industry : empirical studies on the adoption of advanced planning systems
Supply chain management in the food industry is challenging due to multiple factors such as the limited shelf life of food products. Supply chain planning (SCP) is required to balance the demand with the supply of products. Advanced planning systems (APS) constitute the technological means for sophisticated methods of SCP. APS can contribute to improved decision-making and enhanced efficiency along food supply chains. However, studies reveal limited implementation of APS in practice. This thesis investigates the level of APS implementation in the food industry and factors affecting the adoption of APS by means of mixed methods research comprising a survey among food producers and expert interviews. The study confirms the limited use of specialised software for SCP. Many food companies perform SCP tasks by basic functions of enterprise resource planning (ERP) systems. Lack of human resources and costs associated with implementation projects inhibit companies to adopt APS. Supply chain complexity induces food companies to adopt APS. Besides enhanced planning accuracy, the usability of APS is regarded as particularly important by companies. Based on the findings an adapted technology acceptance model (TAM) for the context of APS is established. In addition, the research provides practical advice how implementation projects can be facilitated. Companies need to ensure the availability of skilled employees, highlight process requirements, and prioritise data quality. Management support for the software implementation should be maintained throughout the project. Furthermore, companies should strategically reflect on SCP practices together with company goals to ensure proper software selection. The analysis of quantitative and qualitative data reveals a comprehensive view on
APS implementation in the food industry. This is reinforced by the triangulation of different perspectives through interviews with food producers, software vendors and consultants. Limitations of this research and suggestions for future research are outlined in the concluding chapter of this thesis.Supply chain management in the food industry is challenging due to multiple factors such as the limited shelf life of food products. Supply chain planning (SCP) is required to balance the demand with the supply of products. Advanced planning systems (APS) constitute the technological means for sophisticated methods of SCP. APS can contribute to improved decision-making and enhanced efficiency along food supply chains. However, studies reveal limited implementation of APS in practice. This thesis investigates the level of APS implementation in the food industry and factors affecting the adoption of APS by means of mixed methods research comprising a survey among food producers and expert interviews. The study confirms the limited use of specialised software for SCP. Many food companies perform SCP tasks by basic functions of enterprise resource planning (ERP) systems. Lack of human resources and costs associated with implementation projects inhibit companies to adopt APS. Supply chain complexity induces food companies to adopt APS. Besides enhanced planning accuracy, the usability of APS is regarded as particularly important by companies. Based on the findings an adapted technology acceptance model (TAM) for the context of APS is established. In addition, the research provides practical advice how implementation projects can be facilitated. Companies need to ensure the availability of skilled employees, highlight process requirements, and prioritise data quality. Management support for the software implementation should be maintained throughout the project. Furthermore, companies should strategically reflect on SCP practices together with company goals to ensure proper software selection. The analysis of quantitative and qualitative data reveals a comprehensive view on
APS implementation in the food industry. This is reinforced by the triangulation of different perspectives through interviews with food producers, software vendors and consultants. Limitations of this research and suggestions for future research are outlined in the concluding chapter of this thesis
Bundesliga Kick off! Auf DW-TV : wie der deutsche Fußball dem Ausland präsentiert wird
Die Bachelorarbeit „Bundesliga Kick off! von Deutsche Welle TV – wie der deutsche Fußball dem Ausland präsentiert wird“ ist eine Inhaltsanalyse eines TV-Magazins. Nachdem ich in Punkt eins und zwei meiner Arbeit die Sendeanstalt Deutsche Welle und das dazugehörige Magazin Bundesliga Kick off! vorstelle, analysiere ich in Punkt drei und vier speziell den Programminhalt. Dazu gehören sowohl statistische Auswertungen aus vier Jahren Kick off! als auch die Untersuchung von einzelnen Beiträgen mit Blick auf Themen, Protagonisten, Stil und Gestaltung. Hierzu habe ich mir mehrere Sendungen aus den vergangenen Jahren herausgesucht und stückweise gesichtet
От Редакционного Совета
Номер приурочен столетней годовщине выпуска первого номера журнала "Известия Томского технологического института"
Trends in the manufacturing of Composite Aerospace Components and resulting demands for Machining Technologies
Influence of leaky vacuum bags on the quality of composite parts made from prepreg material
Leakage in vacuum bags for fibre composite production is a frequently occurring defect, especially in the manufacture of components using the open mould process. The previous limit values for assessing the leak tightness of a vacuum set up are mostly historical and based on empirical values. In this paper, the effects of leaks that have been introduced in a defined manner into a vacuum bag are investigated. The physical processes that occur during curing within the leaking vacuum structure are analysed optically as well as by means of ultrasonic testing and thickness measurement and a better understanding of the effects on laminate quality is generated. It is found that there is a difference between leakages in the vacuum bag only and leakages that affect both the vacuum and release film
Process calibration – the missing link between an RTM-production line and its digital twin
Today's buzzwords such as "Industrie 4.0" and "Factory of the Future" suggest that modern machines are self-organized, self-trained and self-sufficient. Every bit of information will securely be saved and communicated in the right way. It slowly runs out of focus, that the initial
information itself could still be incorrect or false. Especially for composite manufacturing, keeping the process within the right range of parameters is elementary, since there is now way for correction after curing. Automation needs sufficient utilization to work economically effective. Due to variation diversity and only few equal parts in aerospace applications, producing different parts at lot size 1 becomes mandatory. It has to be ensured, that machines are working correctly, even before starting the process. Therefore the current state of every component and the actual/target deviation has to be well known.
Calibration is the key not only for reliable analytics, but also for reliable production. Every laboratory in pharmacy, food or chemical industry has to check the correct functionality of analytical equipment. Scales are checked by calibration weights, other devices by reference
samples. DLR transfers this approach to an automated production line: EVo research platform for net shaped RTM parts, located in Stade, Germany. EVo's digital twin contains a 3D-model of the plant that will gather and visualize all machine and sensor data. In future, this data will also be used for simulation purposes and predictive maintenance, as well as cost and Quality assessment. To manage the machine's data is only one part of the story, though. To understand what it does to the part being produced is the real challenge. The first step is measuring process parameters from the product’s point of view. Therefore a calibration part containing various sensors is developed. Measured temperature and pressure distributions, accelerations and elongations will be compared to machine data on the one hand and to a reference process that lead to a perfect part on the other hand. The deviation between nominal and actual values is not only caused by sensor inaccuracy and interface influences, but also by each part's geometrical
and material properties. By understanding these interactions a truly transparent process can be achieved. The result will be the digital twins of both, product and factory, that carry every relevant aspect of the real rocess. This enables reviewing the whole production process
anytime anywhere
Automated net-shape preforming of CFRP Frames in the project Maaximus
High-performance composite structures are increasingly used in today airframes due to the excellent weight-specific mechanical performance. The announced ramp-up of 70 and more aircrafts per month for next-generation aircrafts demands the next step in composite manufacturing in order to produce parts with excellent geometrical accuracy in high-rate processes. Within the European FP7 project MAAXIMUS a side shell structure of a fuselage was chosen as demonstrator. As part of the MAAXIMUS fuselage panel, two different door-surrounding frames have been manufactured by an automated preforming cell which is part of a fully automated Textile Preforming and Resin-Transfer-Molding (RTM) production line
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