Decision Making in Manufacturing and Services
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ISSN 1896-8325
e-ISSN: 2300-7087
Call number
Volume
Vol. 16
Date
2022
Description
Journal
Decision Making in Manufacturing and Services
AGH University of Science and Technology Press (2007-)
ISSN: 1896-8325 e-ISSN: 2300-7087
ISSN: 1896-8325 e-ISSN: 2300-7087
journal.volume.project
Contains
Journal Issues
Articles
Assessment of the impact of 3D printed water-lubricated cutless bearings material on vibration parameters
(Wydawnictwa AGH, 2022) Blaut, Jędrzej
The main purpose of the research was to determine the possibilities and experimentally verify the benefits of using thermoplastic materials in a cutless plain bearing. The tested bearings were subjected to equal loads and rotational speeds, using water as the lubricant. Analysis showed that they achieved the best vibration damping at lower speeds, between 600 and 1100 RPM. Comparative studies of bearings made of different materials, such as available on the market bearings made of rubber, bearings printed with a 3D printer from PETG, PLA, ABS or Tribo filament materials, revealed differences in their vibration damping ability and operational stability. Conclusions from the study suggest that higher vibration acceleration may increase the radius of the trajectory, which may affect the function and performance of the bearings. The importance of the operational stability of water-lubricated plain bearings cannot be assessed solely on the basis of the RMS of vibration acceleration or trajectory radius. Both of these parameters are crucial from the user’s point of view, especially in the context of various applications such as electric boats.
Identifying key factors for successful development of agricultural biogas plants in Poland
(Wydawnictwa AGH, 2022) Ginda, Grzegorz; Szyba, Marta
In Poland, the potential for biogas production is high. It is an important source of renewable energy and contributes to reducing methane emissions (a greenhouse gas). In this article, the implementation of an agri-gas plant-construction program was evaluated in individual voivodeships based on materials from the National Agricultural Advisory Center (KOWR), the literature, and statistical data. Based on the collected data, it was concluded that the most meaningful factors for the successful development of Polish agricultural biogas plants were biogas-production technology, substrate availability, energy prices from renewable energy sources, waste-disposal costs, the population density in a commune, and the allocation of places in local spatial-development plans. The DEMATEL technique was used to identify the key developmental factors. The results of the study provide useful information for both governments and local authorities in their searches for effective ways to drive the sector’s development.
Risk management in heating industry
(Wydawnictwa AGH, 2022) Iwaszczuk, Aleksander; Iwaszczuk, Natalia
The heating industry plays a very important role in countries with cold and temperate climates, together with the power industry, it determines the energy security of these countries. The aim of this article is to examine the risks that threaten the stability of heating companies. The study is based on an analysis of the scientific literature and the macroeconomic environment as well as on interviews with employees from the heating industry. The article identifies the risks and divides them into three groups: general economic, industry, and specific risks. A risk map was drawn, and a qualitative analysis of their impact was carried out for the aforementioned companies. This map is a useful tool for making decisions that are related to risk management and ensuring the stability of the functioning of business entities as well as gaining information for both government and local authorities in the search for effective ways to drive the sector’s development.
Heuristic algorithm for lot sizing and scheduling on identical parallel machines
(Wydawnictwa AGH, 2022) Książek, Roger
This paper presents a new heuristic algorithm for the task of lot sizing and scheduling for identical parallel machines. The new algorithm is based on the rolling-horizon approach and the fix-and-relax decomposition technique. Two variants of the algorithm are finally proposed for solving the problem of lot scheduling with parallel machines where the number of products and machines is greater than that of the machines. A computational experiment has been conducted for a group of 30 data sets. The results showed that the new algorithm efficiently provided good solutions for tasks with large numbers of machines and products.
Decision support for allocating farmed fish to customer orders using a bi-objective optimization model
(Wydawnictwa AGH, 2022) Knudseth, Sunniva Haukvik; Molland, Even; Hoff, Arild; Hvattum, Lars Magnus; Oppen, Johan
Aquaculture is an important industry in certain coastal areas. Focusing on the farming of salmon and trout, an operational planning problem arises with the goal of allocating a supply of fish to the demand that is expressed through customer orders. This paper provides a conceptual model of such a planning problem and defines a corresponding bi-objective mathematical programming model. The problem is novel with respect to the structure of fish transport and the rules for satisfying customer orders with respect to fish size, quality, certification, and health status. Computational experiments have been conducted to gain further insight into the use of the provided model to provide support for planners who are involved in operational decision-making. The results indicated that the bi-objective optimization model can be useful in situations where a supply is insufficient to cover all of the demand within a given planning horizon.