Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "application" wg kryterium: Temat


Wyświetlanie 1-7 z 7
Tytuł:
Mathematical Programming for Lot Sizing and Production Scheduling in Foundries
Autorzy:
Duda, J.
Stawowy, A.
Basiura, R.
Powiązania:
https://bibliotekanauki.pl/articles/380801.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology
foundry industry
production planning
scheduling
zastosowanie technologii informatycznych
przemysł odlewniczy
planowanie produkcji
Opis:
The problem considered in the paper is motivated by production planning in a foundry equipped with the furnace and casting line, which provides a variety of castings in various grades of cast iron/steel for a large number of customers. The quantity of molten metal does not exceed the capacity of the furnace, the load is a particular type of metal from which the products are made. The goal is to create the order of the melted metal loads to prevent delays in delivery of goods to customers. This problem is generally considered as a lot-sizing and scheduling problem. The paper describes a mathematical programming model that formally defines the optimization problem and its relaxed version that is based on the conception of rolling-horizon planning.
Źródło:
Archives of Foundry Engineering; 2014, 14, 3; 17-20
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of the Efficiency of Polish Foundries Using Data Envelopment Analysis
Autorzy:
Stawowy, A.
Duda, J.
Powiązania:
https://bibliotekanauki.pl/articles/379915.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
foundry industry
benchmarking
data analysis
application of information technology
efficiency
przemysł odlewniczy
analiza danych
zastosowanie technologii informacyjnch
efektywność
Opis:
The article presents a study on the effectiveness of the foundries using Data Envelopment Analysis (DEA) method. The aim of the article is to analyze the usefulness of DEA method in the study of the relative efficiency of the foundries. DEA is a benchmarking technique based on linear programming to evaluate the effectiveness of the analyzed objects. The research was conducted in four Polish and two foreign plants. Evaluated foundries work in similar markets and have similar production technology. We created a DEA model with two inputs (fixed assets and employment) and one output (operating profit). The model was produced and solved using Microsoft Excel together with its Solver add-in. Moreover, we wrote a short VBA script to perform automating calculations. The results of our study include a benchmark and foundries’ ranking, and directions to improve the efficiency of inefficient units. Our research has shown that DEA can be a very valuable method for evaluating the efficiency of foundries.
Źródło:
Archives of Foundry Engineering; 2017, 17, 1; 223-227
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization methods for lot-sizing problem in an automated foundry
Algorytmy planowania partii produkcyjnych w zautomatyzowanej odlewni
Autorzy:
Duda, J.
Stawowy, A.
Powiązania:
https://bibliotekanauki.pl/articles/354705.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology to the foundry industry
production planning
lot-sizing problem
planowanie produkcji
zastosowanie technologii informatycznych
Opis:
In the paper we studied a production planning problem in a mid-size foundry that provides tailor-made cast products in small lots for a large number of clients. Assuming that a production bottleneck is the furnace, a mixed-integer programming (MIP) model is proposed to determine the lot size of the items and the required alloys to be produced during each period of the finite planning horizon that is subdivided into smaller periods. As using an advanced commercial MIP solvers may be impractical for more complex and large problem instances, we proposed and compared a few computational intelligence heuristics i.e. tabu search, genetic algorithm and differential evolution. The examination showed that heuristic approaches can provide a good compromise between speed and quality of solutions and can be used in real-world production planning.
W pracy przedstawiono problem planowania produkcji w odlewni średniej wielkości, która dostarcza odlewy na zamówienie dla dużej liczby klientów. W takim problemie konieczne jest określenie wielkości partii produkcyjnej oraz ilości i gatunku metalu w każdym okresie skończonego horyzontu planowania, który jest podzielony na mniejsze podokresy. Przy założeniu, że wąskim gardłem jest piec do topienia metalu, zaproponowano programowanie całkowitoliczbowe mieszane (Mixed-Integer Programming - MIP) jako model planowania i harmonogramowania produkcji w odlewni. Jako że użycie zaawansowanych komercyjnych solverów może być niepraktyczne dla złożonych problemów, zaproponowano i porównano trzy heurystyki inteligencji obliczeniowej tj. tabu search, algorytm genetyczny i ewolucja różnicowa. Eksperymenty obliczeniowe wykazały, że algorytmy heurystyczne zapewniają zadowalającą szybkość i jakość rozwiązań.
Źródło:
Archives of Metallurgy and Materials; 2013, 58, 3; 863-866
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applicability of Business Rules to Production Management in Foundries
Autorzy:
Stawowy, A.
Duda, J.
Wrona, R.
Powiązania:
https://bibliotekanauki.pl/articles/383187.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
application of information technology
foundry industry
operation management
business rules
zastosowanie technologii informatycznych
przemysł odlewniczy
zarządzanie operacyjne
reguły biznesowe
Opis:
The size and complexity of decision problems in production systems and their impact on the economic results of companies make it necessary to develop new methods of solving these problems. One of the latest methods of decision support is business rules management. This approach can be used for the quantitative and qualitative decision, among them to production management. Our study has shown that the concept of business rules BR can play at most a supporting role in manufacturing management, but alone cannot form a complete solution for production management in foundries.
Źródło:
Archives of Foundry Engineering; 2016, 16, 1; 85-88
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Coordinated Production Planning and Scheduling Problem in a Foundry
Autorzy:
Stawowy, A.
Duda, J.
Powiązania:
https://bibliotekanauki.pl/articles/381726.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
foundry industry
application of information technology
production planning
scheduling
heuristics
przemysł odlewniczy
zastosowanie technologii informatycznych
planowanie produkcji
planowanie skoordynowane
Opis:
In the paper, we present a coordinated production planning and scheduling problem for three major shops in a typical alloy casting foundry, i.e. a melting shop, molding shop with automatic line and a core shop. The castings, prepared from different metal, have different weight and different number of cores. Although core preparation does not required as strict coordination with molding plan as metal preparation in furnaces, some cores may have limited shelf life, depending on the material used, or at least it is usually not the best organizational practice to prepare them long in advance. Core shop have limited capacity, so the cores for castings that require multiple cores should be prepared earlier. We present a mixed integer programming model for the coordinated production planning and scheduling problem of the shops. Then we propose a simple Lagrangian relaxation heuristic and evolutionary based heuristic to solve the coordinated problem. The applicability of the proposed solution in industrial practice is verified on large instances of the problem with the data simulating actual production parameters in one of the medium size foundry.
Źródło:
Archives of Foundry Engineering; 2017, 17, 3; 133-138
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Production Scheduling for the Two Furnaces – One Casting Line System
Autorzy:
Stawowy, A.
Duda, J.
Powiązania:
https://bibliotekanauki.pl/articles/383276.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
heuristics
application of information technology
foundry industry
scheduling
production planning
heurystyka
zastosowanie technologii informatycznej
przemysł odlewniczy
planowanie
planowanie produkcji
Opis:
The paper presents a production scheduling problem in a foundry equipped with two furnaces and one casting line, where the line is a bottleneck and furnaces, of the same capacity, work in parallel. The amount of produced castings may not exceed the capacity of the line and the furnaces, and their loads determine metal type from which the products are manufactured on the casting line. The purpose of planning is to create the processing order of metal production to prevent delays in the delivery of the ordered products to the customers. The problem is a mix of a lot-sizing and scheduling problems on two machines (the furnaces) run in parallel. The article gives a mathematical model that defines the optimization problem, and its relaxed version based on the concept of a rolling-horizon planning. The proposed approaches, i.e. commercial solver and Iterated Local Search (ILS) heuristic, were tested on a sample data and different problem sizes. The tests have shown that rolling horizon approach gives the best results for most problems, however, developed ILS algorithm gives better results for the largest problem instances with tight furnace capacity.
Źródło:
Archives of Foundry Engineering; 2020, 20, 1; 43-48
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Interval Arithmetic to Production Planning in a Foundry
Autorzy:
Duda, J.
Stawowy, A.
Powiązania:
https://bibliotekanauki.pl/articles/382782.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
foundry industry
application of IT
production planning
scheduling
uncertainty
interval arithmetic
przemysł odlewniczy
zastosowanie IT
planowanie produkcji
harmonogram
arytmetyka interwencyjna
Opis:
A novel approach for treating the uncertainty about the real levels of finished products during production planning and scheduling process is presented in the paper. Interval arithmetic is used to describe uncertainty concerning the production that was planned to cover potential defective products, but meets customer’s quality requirement and can be delivered as fully valuable products. Interval lot sizing and scheduling model to solve this problem is proposed, then a dedicated version of genetic algorithm that is able to deal with interval arithmetic is used to solve the test problems taken from a real world example described in the literature. The achieved results are compared with a standard approach in which no uncertainty about real production of valuable castings is considered. It has been shown that interval arithmetic can be a valuable method for modeling uncertainty, and proposed approach can provide more accurate information to the planners allowing them to take more tailored decisions.
Źródło:
Archives of Foundry Engineering; 2017, 17, 1; 41-44
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies