Valentas Gruzauskas

Valentas Gruzauskas
Vilnius University · Faculty of Mathematics and Informatics

Doctor of Business Administration

About

35
Publications
38,438
Reads
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463
Citations
Additional affiliations
September 2016 - June 2022
Kaunas University of Technology
Position
  • Professor (Associate)
February 2022 - present
Vilnius University
Position
  • Professor (Assistant)

Publications

Publications (35)
Article
Full-text available
Spatial mapping of food demand is essential for understanding and addressing disparities in food accessibility, which significantly impact public health and nutrition. This research presents an innovative geospatial framework designed to map food demand, integrating individual dietary behaviors with advanced spatial analysis techniques. This study...
Article
Full-text available
With the popularity of solar energy in the electricity market, demand rises for data such as precise locations of solar panels for efficient energy planning and management. However, these data are not easily accessible; information such as precise locations sometimes does not exist. Furthermore, existing datasets for training semantic segmentation...
Article
Full-text available
This research explores the domain of Artificial Intelligence (AI) for social good, with a particular emphasis on its application in social welfare and service delivery. The study seeks to establish a universal conceptual framework for ethically integrating AI into the social services sector, recognizing the sector's significant yet underexplored po...
Article
Full-text available
The aim of this study was to analyze the physical and chemical characteristics of chicken droppings (n = 73), which were collected during different age periods and classified by visual inspection into normal (N) and abnormal (A). Significant differences were found in the texture, pH, dry matter (DM), fatty acids (FAs), short-chain fatty acids (SCFA...
Preprint
Full-text available
With the popularity of solar energy in the electricity market, demand arises for data such as precise locations of solar panels for efficient energy planning, management, and distribution. However, this data is not easily accessible and in some cases, information such as precise locations does not exist. Furthermore, existing data sets for training...
Article
Full-text available
The use of artificial intelligence techniques with advanced computer vision techniques offers great potential for non-invasive health assessments in the poultry industry. Evaluating the condition of poultry by monitoring their droppings can be highly valuable as significant changes in consistency and color can be indicators of serious and infectiou...
Article
Full-text available
Crop contamination with mycotoxins is a global problem with a negative impact on human and animal health as well as causing economical losses in food and feed chains. This study was focused on the evaluation of the effect of lactic acid bacteria (LAB) strain (Levilactobacillus brevis-LUHS173, Liquorilactobacillus uvarum-LUHS245, Lactiplantibacillus...
Article
Full-text available
The growing food demand, the tendency for organic food, and the adaptation of the e-commerce business model require new food supply chain management approaches. On the one hand, 30% of the world’s produced food is wasted, and CO2 emissions are rapidly growing due to transport. On the other hand, the increasingly complex and dynamic environment is d...
Article
Full-text available
In this study, the effect of solid-state fermentation (SSF) with Lactobacillus sakei MI401 and Pediococcus acidilactici PA-2 strains on functional properties of extruded (130 °C; 25 rpm) corn-milling by-products (CMB) and their albumin, globulin, and prolamin fractions was evaluated in order to produce stabilized and functionalized food/feed stock....
Article
The inevitable transition from conventional to self-driving vehicles is a large-scale process involving a series of interactions and related to major challenges for human society. Autonomous vehicles (AVs) considered as a future of road transport, have the potential to significantly reduce transport costs, improve road safety by significantly reduc...
Article
Full-text available
Consumer demand for organic products, rapidly growing urbanizations levels requires the food supply chain to reduce lead-time and maintain higher product quality. For the food supply chain to cope with the raising issues an e-commerce type of supply chain must be implemented. This approach creates challenges for supply chain, because the food indus...
Article
Full-text available
Urban change detection is an important part of sustainable urban planning, regional development, and socio-economic analysis, especially in regions with limited access to economic and demographic statistical data. The goal of this research is to create a strategy that enables the extraction of indicators from large-scale orthoimages of different re...
Article
Full-text available
The socio-economic development of municipalities is defined by a set of indicators in a period of interest and can be analyzed as a multivariate time series. It is important to know which municipalities have similar socio-economic development trends when recommendations for policy makers are provided or datasets for real estate and insurance price...
Book
The COVID-19 pandemic has left a clear mark on virtually every area of human activity. Arguably, most prominent changes may be observed in the global supply chain where the delivery times have changed, and even minor outbreaks of the pandemic pose ever-increasing risks in logistics, supply, and infrastructure. The authors of the scientific study an...
Article
Full-text available
Today we discover ourselves in different transformational periods of human history. Significant as the farming and industrial revolutions before it, this digital reconstruction is redefining various characters of contemporary life throughout the world. Artificial intelligence (AI) represents a frequently fundamental role in this transformation. In...
Article
Full-text available
The previous economic crisis has increased the attention of government to focus their activities more on economic stability. The development of government subsidies requires an analytically based analysis, one which would identify problematic areas of regional development more precisely. However, to monitor market changes in a highly dynamic market...
Article
Full-text available
Real estate valuation uses 3 main approaches: income, cost and comparative. When applying the comparative method, correction coefficients based on similar real estate transactions are determined. In practice, the coefficients and similar real estate objects are usually determined by using qualitative approach based on the valuators’ experience. The...
Article
The current approaches to supply chain management generate large amounts of food waste due to the growing urbanization levels, increasing consumer demand for organic products and the growth of e-commerce distribution channel. These trends require the organizations to rethink their approaches to supply chain management, so that they could cope with...
Article
Full-text available
This paper focuses on efficiency of banks and human resources. The subjects of our analysis are banks based in Slovakia. The aim of this paper is to determine the relationship between technical efficiency on one side and the number of banks’ employees and personnel expenses/number of employees on the other side. Technical efficiency scores were det...
Article
Full-text available
The activities of the most enterprises are related to the difficulties while adapting to the current market demand, therefore, it is vitally important to define and solve the arising problems. Today consumers require non-expensive, personalized, ecological products just on time to their doorstep. Most government policies in this area are focused on...
Article
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The changing business environment has influenced new innovation development, which is currently described as the upcoming 4 industrial revolution. The development of Internet of Things, Big Data concepts increased the productivity of various businesses and influenced the appearance of new business models. A more advanced concept of technologies in...
Article
Full-text available
Annotation The upcoming fourth industrial revolutions causes instability in the society and economy. From one side, the development of robots and artificial intelligence allows automation of business processes, which in result stimulates the growth of the economy. In 2016 an insurance company implemented artificial intelligence for insurance pay-ou...
Article
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The trend for e-commerce, estimated population size to 11 billion by 2050, and an increase in urbanization level to 70 % is requiring to re-think the current supply chain. These trends changed the distribution process: delivery distances are decreasing, the product variety is increasing, and more products are being sold in smaller quantities. There...
Article
Full-text available
The strategies of competitive advantage are changing dramatically because of high technology development. The data size in the world is multiplying rapidly - the amount of information in the world doubles every 12 months. Therefore, the authors analyzed Big data in the food supply chain. The methodology used in the paper consists of a review of glo...
Article
Full-text available
The objective of this article is to develop a methodology in order to implement real-time customers segmentation analysis in the decision making process of the enterprise. A review of big data usage in retail stores was conducted along with a document-based descriptive analysis of secondary data and further critical literature analysis. Decision ma...
Article
Full-text available
The globalization is affecting the economic development of world. Internet provided a dramatic increase in information and money transaction speed, therefore small markets are also growing rapidly in the international markets. The focus of this paper is on a cluster of companies with logistics intensive activity. This includes mainly logistics serv...
Article
Full-text available
In recent years the manufacturer’s competitiveness environment has been greatly influenced by the new consumer trend. Consumers developed a need for variety, high quality, low price and just on time products. This affect has influenced the producer’s profitability dramatically. The food industry is one of the most influenced industries, because the...
Article
Full-text available
The main problem of the paper is that globalization has effected the world's market, now all markets are relatively small by comparing it with the international. Therefore, the main objective of paper is to create a competiveness strategy that is oriented to the small market. The author's results indicates that usually researches position small mar...
Article
Full-text available
The authors analyzes non-economic and non-material factors usage for maximizing business's competitiveness level. These findings was amplified by showing how weather condition's variation can become an economic factor. The authors done research indicates that when proper situation happens or by making, it happen non-economic factors can be used to...
Article
Full-text available
In this, paper the authors analysed the food industry's total logistic cost and supply chain, reviewed the temperature control technology usage possibilities in logistic clusterization processes. Then conducted the food industries supply chain cost statistical analysis and determined the influence of logistic cost components to total logistic cost....

Questions

Questions (2)
Question
Good day,
I am doing my PhD in operation research in logistics. I want to create an urban logistics simulation, during which I would show how autonomous vehicles can adapt to disruptions and resilience would emerge. The theoretical approach is based on complex-adaptive systems theory.
As I understand, the routing should be made by using “reinforcement learning for combinatorial optimization”, however, I do not have experience related to RL application for route scheduling. Could anyone recommend courses or literature related to this topic?
If anyone has developed such a model, maybe could provide some insights in to the data architecture? As I understand this would be similar to supervised learning, however sequence of categories must also be taken into consideration. Should the implementation be based on graphs? Or should I have features categorizing a trip with evaluation of the cost function?
In my case, I am having a e-commerce industry with product delivery to end-consumer, during the day I am generating traffic jams, which would block the routs. The algorithm should learn from the environment and select better routes automatically by considering the goal function.
Question
Hello,
Recently I found "Flexible Large Scale Agent Modelling Environment for the GPU (FLAMEGPU)" - http://www.flamegpu.com/
Maybe someone is using it and could explain if it is worth learning to use Flame-GPU? As I understand FLAMEGPU uses XML to build models and runs them on CUDA. However, I do not understand why it uses XML? Is it not worth using Python C# with CUDA or something similar?
I also found great looking agent-based models with visualization, could someone explain more precisely how FLAMEGPU is used? e.g. https://www.youtube.com/watch?v=7cjorOe810o&t=2s
What technical requirements are needed for it? Would a laptop with 500 GB SSD hard drive, 16 GB Ram, i7-4710 HQ (8 CPU) ~2.5Ghz and NVIDIA GeForce GTX 860M - 2 GB enough, or a high-performance computing server is needed to use FLAMEGPU? e.g. Amazon web services?

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