UPDATES

TAGS
15 July 2022
Fuzzy systems
Based on fuzzy sets, a fuzzy inference system can be built. In such a system, fuzzy rules are implemented for modeling, which in turn make it possible to carry out the process of fuzzy inference.
15 July 2022
The benefits of using artificial intelligence in the supply chain
According to Gartner, the level of automation in supply chain processes will double in the next five years. At the same time, global spending on IIoT […]
15 July 2022
Modeling uncertainty with fuzzy sets
Uncertainty is present in all areas of human activity, it is an inherent part of reality. This means that any attempt to describe this reality should take into account the presence of uncertainty. It is in the need to model uncertainty that the impetus for the development of fuzzy set theory and its subsequent generalizations should be seen.

CASE STUDY

29 June 2022
Case Study – Fobaro
Fobaro Group is an international distributor of industrial adhesives, chemical raw materials and cutting tools headquartered in Poland. It owns the Fix Grip and Extrem brands that have been on the market since 1996. Fobaro has products from renowned global manufacturers as well as its own brands. Fobaro's adhesives are used in a wide range of industries, such as paper processing, bottling and food processing, construction, automotive, aerospace, railroads, printing and footwear manufacturing.

Right now

Subscribe to our newsletter

29 July 2022
The essence of the classic model of inventory renewal based on the information level – the point of reordering
The main feature of the model based on the so-called. “ordering point,” also known as an information-level ordering system or continuous review [3], is a condition […]
15 July 2022
Fuzzy systems
Based on fuzzy sets, a fuzzy inference system can be built. In such a system, fuzzy rules are implemented for modeling, which in turn make it possible to carry out the process of fuzzy inference.
15 July 2022
The benefits of using artificial intelligence in the supply chain
According to Gartner, the level of automation in supply chain processes will double in the next five years. At the same time, global spending on IIoT […]
15 July 2022
Modeling uncertainty with fuzzy sets
Uncertainty is present in all areas of human activity, it is an inherent part of reality. This means that any attempt to describe this reality should take into account the presence of uncertainty. It is in the need to model uncertainty that the impetus for the development of fuzzy set theory and its subsequent generalizations should be seen.
29 June 2022
Case Study – Fobaro
Fobaro Group is an international distributor of industrial adhesives, chemical raw materials and cutting tools headquartered in Poland. It owns the Fix Grip and Extrem brands that have been on the market since 1996. Fobaro has products from renowned global manufacturers as well as its own brands. Fobaro's adhesives are used in a wide range of industries, such as paper processing, bottling and food processing, construction, automotive, aerospace, railroads, printing and footwear manufacturing.
12 May 2022
Collaborative Planning, Forecasting and Replenishment or is it worth sharing information
As a reminder, CPFR (Collaborative Planning, Forecasting and Replenishment) is collaborative forecasting, planning and replenishment, which is based on the agreement of business partners to continuously exchange information on sales, purchasing and inventory forecasts, as well as promotion, production and delivery plans, along with the establishment of ways to identify and explain deviations that occur.
6 May 2022
Collaborative Planning, Forecasting and Replenishment as a Tool for Effective Inventory Management
CPFR (ang. Collaborative Planning, Forecasting and Replenishment) is joint forecasting, planning and replenishment, which is based on an agreement between business partners to continuously exchange information […]
21 April 2022
Demand forecasting using neural networks
Demand forecasting plays a key role in inventory management and optimization and thus determines the profitability of a company. It is also one of the most […]
14 April 2022
Sources of non-classical logic
The founder of fuzzy set theory and fuzzy logic is considered to be Lotfi A. Zadeh, who was the first to propose a formal definition of […]
24 March 2022
Fuzzy sets
In natural language, we often use imprecise and ambiguous terms to describe phenomena.  We use terms such as tall height, young man, low temperature, big city, […]
17 March 2022
Prospects for the application of LSTM and GRU neural networks in supply chain management
Effective supply chain management is considered one of the key elements affecting the building of market competitive advantage. A supply chain is a network that typically […]
3 March 2022
The essence and importance of collateral inventory and its implications with demand forecast errors
Collateral inventory is held to protect against demand volatility (demand deviations from forecasts) and variability in replenishment cycle time. The right level   Safety stock avoids […]
15 February 2022
Prediction intervals as quantification of predictions using a neural network
Prediction intervals (PPs) offer a convenient way to quantify forecast uncertainty, so they have been widely used in forecasting practice. PPs can provide information about best- […]
28 January 2022
Recurrent neural networks
Recursive Neural Networks (RNNs) are used to model and predict variables that evolve over time. Unlike standard neural networks, they have the ability to remember the […]
19 January 2022
How the AI revolution is changing business
Artificial intelligence (AI) has been with us since the 1950s, when Alan Turing proposed a test to examine whether a computer could convince a human being […]