scholarly journals Creation of Annual Order Forecast for the Production of Beverage Cans—The Case Study

2021 ◽  
Vol 13 (15) ◽  
pp. 8524
Author(s):  
Peter Kacmary ◽  
Andrea Rosova ◽  
Marian Sofranko ◽  
Peter Bindzar ◽  
Janka Saderova ◽  
...  

This article is focused on the creation of a system for forecasting of future orders for a specific beverage cans manufacturer. The problem comes from the irregular ordering of cans from different customers; not only national companies, but also from companies abroad. This causes fluctuations in production and consequently an irregular transport regime. That is why the beverage can producer demanded a forecasting system that would help to create an annual production plan. The aim is to analyze the ordering process for the last two years and on that basis to create a forecast system of the possible ordering process for the following year. This is necessary for the introduction of regularity of production, because the frequent transitions of the line to another assortment range or other surface printing requires long downtimes due to the technological setting, thus creating large losses due to inactivity of the production line. As drinking habits of final customers reflect the sale of cans, it was expected that sale data would have a seasonable character; this was proved after a brief analysis of the former data. After that, the appropriate forecasting methods were chosen. The methodology was created to combine multiple forecast results into one to increase the forecast objectivity. Forecasting is performed at three different levels: forecasting of assortment, forecasting of region sale and total forecasting of all orders. In spite of the change in market behavior in 2020, due to the pandemic situation in the first wave of the COVID-19 crisis, the sale of beverage cans is expected to stabilize and return to pre-crisis level as early as 2021. Then the forecasting system will fully meet the company’s requirements.

2021 ◽  
Vol 11 (10) ◽  
pp. 4620
Author(s):  
Niki Kousi ◽  
Christos Gkournelos ◽  
Sotiris Aivaliotis ◽  
Konstantinos Lotsaris ◽  
Angelos Christos Bavelos ◽  
...  

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D–3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.


2021 ◽  
Vol 11 (5) ◽  
pp. 2153
Author(s):  
Nadia Giuffrida ◽  
Maja Stojaković ◽  
Elen Twrdy ◽  
Matteo Ignaccolo

Container terminals are the main hubs of the global supply chain but, conversely, they play an important role in energy consumption, environmental pollution and even climate change due to carbon emissions. Assessing the environmental impact of this type of port terminal and choosing appropriate mitigation measures is essential to pursue the goals related to a clean environment and ensuring a good quality of life of the inhabitants of port cities. In this paper the authors present a Terminal Decision Support Tool (TDST) for the development of a container terminal that considers both operation efficiency and environmental impacts. The TDST provides environmental impact mitigation measures based on different levels of evolution of the port’s container traffic. An application of the TDST is conducted on the Port of Augusta (Italy), a port that is planning infrastructural interventions in coming years in order to gain a new role as a reference point for container traffic in the Mediterranean.


2020 ◽  
Vol 25 (1) ◽  
pp. 135-149
Author(s):  
Jan Siegemund

AbstractLibel played an important and extraordinary role in early modern conflict culture. The article discusses their functions and the way they were assessed in court. The case study illustrates argumentative spaces and different levels of normative references in libel trials in 16th century electoral Saxony. In 1569, Andreas Langener – in consequence of a long stagnating private conflict – posted several libels against the nobleman Tham Pflugk in different public places in the city of Dresden. Consequently, he was arrested and charged with ‘libelling’. Depending on the reference to conflicting social and legal norms, he had therefore been either threatened with corporal punishment including his execution, or rewarded with laudations. In this case, the act of libelling could be seen as slander, but also as a service to the community, which Langener had informed about potentially harmful transgression of norms. While the common good was the highest maxim, different and sometimes conflicting legally protected interests had to be discussed. The situational decision depended on whether the articulated charges where true and relevant for the public, on the invective language, and especially on the quality and size of the public sphere reached by the libel.


2015 ◽  
Vol 19 (8) ◽  
pp. 3365-3385 ◽  
Author(s):  
V. Thiemig ◽  
B. Bisselink ◽  
F. Pappenberger ◽  
J. Thielen

Abstract. The African Flood Forecasting System (AFFS) is a probabilistic flood forecast system for medium- to large-scale African river basins, with lead times of up to 15 days. The key components are the hydrological model LISFLOOD, the African GIS database, the meteorological ensemble predictions by the ECMWF (European Centre for Medium-Ranged Weather Forecasts) and critical hydrological thresholds. In this paper, the predictive capability is investigated in a hindcast mode, by reproducing hydrological predictions for the year 2003 when important floods were observed. Results were verified by ground measurements of 36 sub-catchments as well as by reports of various flood archives. Results showed that AFFS detected around 70 % of the reported flood events correctly. In particular, the system showed good performance in predicting riverine flood events of long duration (> 1 week) and large affected areas (> 10 000 km2) well in advance, whereas AFFS showed limitations for small-scale and short duration flood events. The case study for the flood event in March 2003 in the Sabi Basin (Zimbabwe) illustrated the good performance of AFFS in forecasting timing and severity of the floods, gave an example of the clear and concise output products, and showed that the system is capable of producing flood warnings even in ungauged river basins. Hence, from a technical perspective, AFFS shows a large potential as an operational pan-African flood forecasting system, although issues related to the practical implication will still need to be investigated.


2012 ◽  
Vol 27 (4) ◽  
pp. 319-325 ◽  
Author(s):  
Franklin Obeng-Odoom

This Viewpoint article draws on the doctrine of eminent domain (or compulsory purchase) as an analytical framework to analyse the regional and local impacts of a new source of oil. Sekondi-Takoradi, an oil city located in Ghana, West Africa, is used as a case study to explore the differentiated experiences of local people. The article shows that, although there are complex distributional issues that require different levels of compensation and betterment to be assessed and paid for, it is unlikely that they will, in fact, even be considered.


Author(s):  
Bezaleel Joy Murchante Danay ◽  
Zephaniah Dela Cruz Danay ◽  
Cherry Colesio Escarilla ◽  
Jimmy Bernabe Maming

The Covid-19 pandemic brought massive devastations to the different levels of society. The World Travel and Tourism Council had recently warned that Covid-19 pandemic could lead to a cut of 50 million jobs worldwide in the travel and tourism industry. A study conducted by Oxford reveals that Asia will be vilest to be affected by the pandemic and it would take time to recover its economy (Dogra, 2020). This means a wider and greater impacts to the different industries including the tourism sector. The study aims to explore the coping mechanisms of hospitality industry workers in Boracay Island during the Covid-19 pandemic particularly on their experiences during the Covid-19 pandemic and to determine the coping mechanisms of hospitality workers in Boracay Island being affected by the pandemic. The case study method through a qualitative analysis using Robert Yin's approach in the data analysis procedure to explore the data from the experiences of the key informants from the hospitality industry was used. Themes came out from the construct of the key informants like (1) hospitality industry workers experienced mental health, social, and economic issues, (2) The pandemic opens new opportunities and ways to cope with its effects. The output of this research is the proposed Danay, Danay, Escarilla, and Maming Model for Coping Mechanisms of Hospitality Industry workers during the Covid-19 Pandemic.


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