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Tytuł:
Scheduling of multiunit projects using tabu search algorithm
Autorzy:
Podolski, M.
Powiązania:
https://bibliotekanauki.pl/articles/347178.pdf
Data publikacji:
2015
Wydawca:
Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki
Tematy:
construction works scheduling
optimization
job scheduling
tabu search algorithm
Opis:
The paper describes problems of discrete optimization in scheduling of multiunit projects. A model of this kind of project with possibility of using many workgroups by the contractor has been presented. It leads to reduction of project duration. For solving NP-hard optimization problem, a tabu search algorithm has been applied in the model. The example of mod-el and application of the algorithm are also included in the paper.
Źródło:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki; 2015, 1; 110-122
1731-8157
Pojawia się w:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determining the minimum sum of production order delays in a two-machine system
Autorzy:
Jardzioch, A.
Dylewski, R.
Powiązania:
https://bibliotekanauki.pl/articles/406828.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
two-machine flow system
job scheduling
minimum delay times
Opis:
One of the main tasks in the planning of production processes is to satisfy the needs of the customers in terms of quantity, quality and time. The issue of the timely execution of production orders is becoming increasingly important. Based on the conducted studies it can be concluded that the size of the delay depends on the adopted scheduling of orders. This paper focuses on the problem of implementing a scheduling of production orders that will allow to avoid delays, and in the event such a scheduling is not possible, for minimizing the sum of delays of all the orders. A new algorithm has been proposed that allows to determine of the optimal sequence of production orders with the minimum sum of delays. The considerations have been limited to the issue of a two-machine system in which the orders are carried out in a flow.
Źródło:
Management and Production Engineering Review; 2017, 8, 3; 31-39
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Towards job-shop scheduling with the use of virtual manufacturing cells
Autorzy:
Wojakowski, P.
Powiązania:
https://bibliotekanauki.pl/articles/409306.pdf
Data publikacji:
2014
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
virtual manufacturing cell
job-shop scheduling
Opis:
The article presents the possibility to modify finding solutions when job-shop scheduling is conducted based on the idea of virtual cellular manufacturing. It is demonstrated that creation of virtual manufacturing cells for defined production orders and exploiting them in the process of job-shop scheduling allows to reduce makespan. In a virtual manufacturing cell, machines are dedicated to produce for selected production orders as in a regular manufacturing cell, but machines are not physically allocated in designated area. Virtual cell configurations are therefore temporary, and assignments are made to optimize the scheduling objective under changing demand conditions. In this research, an example of job-shop scheduling problem with embedded virtual cellular manufacturing is presented. The conditions of application of virtual manufacturing cells in terms of production flow modification are described.
Źródło:
Research in Logistics & Production; 2014, 4, 4; 331-339
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Harmonogramowanie przedsięwzięć budowlanych z zastosowaniem algorytmów metaheurystycznych
Scheduling of construction projects with application of metaheuristic algorithms
Autorzy:
Hejducki, Z.
Podolski, M.
Powiązania:
https://bibliotekanauki.pl/articles/347655.pdf
Data publikacji:
2012
Wydawca:
Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki
Tematy:
harmonogramowanie robót budowlanych
optymalizacja
szeregowanie zadań
metaheurystyki
construction works scheduling
optimization
job scheduling
metaheuristics
Opis:
Przedstawiono badania autorów nad warunkami zastosowania algorytmów metaheurystycznych w metodach sprzężeń czasowych. Przeprowadzono analizę eksperymentalną z zastosowaniem tych algorytmów: przeszukiwania z zabronieniami, symulowanego wyżarzania, przeszukiwania genetycznego oraz algorytmu B&B. Użycie algorytmów metaheurystycznych, które są obecnie stosowane w rozwiązywaniu problemów teorii szeregowania zadań, pozwala na uzyskiwanie lepszych rozwiązań suboptymalnych niż otrzymywane obecnie algorytmem B&B. Doskonalenie metodyki harmonogramowania robót budowlanych z zastosowaniem metod sprzężeń czasowych (ang. TCM) 1, 7, 891013 jest podstawowym kierunkiem badań autorów. W szczególności opracowywane są problemy harmonogramowania procesów budowlanych o charakterze liniowym z uwzględnieniem optymalizacji czasowo-kosztowej.
The paper presents the authors' research on the application of metaheuristic algorithms in Time Coupling Methods (TCM). The experimental analysis of algorithms: tabu search, genetic search, simulated annealing and B&B algorithm was conducted in the paper. The application of these algorithms, which are currently used to solve job scheduling problems, allows one to obtain better suboptimal solutions than with the currently used B&B algorithm. The main branch of the authors' research is developing the methodology of construction works scheduling with the application of TCM 17,8,9 1013. The problems of scheduling linear construction works using time-cost optimisation are worked out.
Źródło:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki; 2012, 4; 68-79
1731-8157
Pojawia się w:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Job Scheduling in Homogeneous Distributed Systems
Harmonogramowanie zadań w homogenicznych systemach rozproszonych
Autorzy:
Osial, P.
Powiązania:
https://bibliotekanauki.pl/articles/305925.pdf
Data publikacji:
2011
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
harmonogramowanie zadań
system homogeniczny
system rozproszony
job scheduling
homogeneous system
distributed system
Opis:
Today's world demands a lot of computing power for many different applications. Distributed systems offer this with their advantages. High-performance computing clusters are suitable for running different kinds of jobs like tightly coupled parallel and distributed applications. The queuing system is used to organize tasks and allocate adequate resources at appropriate time intervals. One of the fundamental elements in scheduling tasks is to determine the type and characteristics of tasks that will run in a distributed system. The scheduling algorithm is responsible for the proper assignment of these tasks, to the available resources of a particular node. The most important advantage of using the job scheduler in a homogeneous environment is the fact that the scheduler can omit checking of various parameters. Job scheduling aspects in homogeneous HPC clusters environments is presented in this paper. The grid engine was used as a case study for testing common used algorithms for job scheduling. This example showed the problems that may occur when scheduling tasks, depending on the type and quantity of tasks running. The basic algorithm used in this case does not generally meet their function. Complicated cases require more complex algorithms, taking into consideration proper resources utilization.
W dzisiejszych czasach wzrasta zapotrzebowanie na moc obliczeniową dla szeregu aplikacji. Systemy rozproszone dzięki swym atrybutom są w stanie sprostać tym wymaganiom. Klastry obliczeniowe o wysokiej wydajności tworzą odpowiednie środowisko służące do uruchamiania wielu typów zadań. System kolejkowania umożliwia poprawne rozmieszczanie aplikacji na poszczególnych zasobach, w odpowiednich przedziałach czasowych. Jednym z podstawowych elementów podczas tworzenia harmonogramu jest określenie typu i charakterystyki uruchamianych zadań. Dzięki temu algorytm odpowiedzialny za uszeregowanie zadań jest w stanie poprawnie wykorzystać dostępne zasoby. Jedna z zalet układania harmonogramu zadań w systemie homogenicznym jest możliwość pominięcia sprawdzania szeregu parametrów. W tym artykule badano aspekty szeregowania zadań w jednorodnym środowisku klastrów HPC. Grid Engine został wykorzystany jako studium przypadku do badania najczęściej używanych algorytmów w planowaniu zadań. Przedstawiono problemy mogące występować podczas planowania zadań w zależności od typu oraz ilości zadań. Pokazano również wady podstawowych algorytmów. W przeciwieństwie do zaawansowanych algorytmów, nie spełniały one swej funkcji w skomplikowanych przypadkach.
Źródło:
Biuletyn Instytutu Systemów Informatycznych; 2011, 7; 31-38
1508-4183
Pojawia się w:
Biuletyn Instytutu Systemów Informatycznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of Job Shop Scheduling Problem by Genetic Algorithms: Case Study
Autorzy:
Sahar, Habbadi
Herrou, Brahim
Sekkat, Souhail
Powiązania:
https://bibliotekanauki.pl/articles/24200523.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
optimization
metaheuristics
scheduling
job shop scheduling problem
genetic algorithms
simulation
Opis:
The Job Shop scheduling problem is widely used in industry and has been the subject of study by several researchers with the aim of optimizing work sequences. This case study provides an overview of genetic algorithms, which have great potential for solving this type of combinatorial problem. The method will be applied manually during this study to understand the procedure and process of executing programs based on genetic algorithms. This problem requires strong decision analysis throughout the process due to the numerous choices and allocations of jobs to machines at specific times, in a specific order, and over a given duration. This operation is carried out at the operational level, and research must find an intelligent method to identify the best and most optimal combination. This article presents genetic algorithms in detail to explain their usage and to understand the compilation method of an intelligent program based on genetic algorithms. By the end of the article, the genetic algorithm method will have proven its performance in the search for the optimal solution to achieve the most optimal job sequence scenario.
Źródło:
Management and Production Engineering Review; 2023, 14, 3; 44--56
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A genetic algorithm-based approach for flexible job shop rescheduling problem with machine failure interference
Autorzy:
Liang, Zhongyuan
Zhong, Peisi
Zhang, Chao
Yang, Wenlei
Xiong, Wei
Yang, Shihao
Meng, Jing
Powiązania:
https://bibliotekanauki.pl/articles/27320976.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
genetic algorithm
rescheduling
machine failure
flexible job shop scheduling
Opis:
Rescheduling is the guarantee to maintain the reliable operation of production system process. In production system, the original scheduling scheme cannot be carried out when machine breaks down. It is necessary to transfer the production tasks in the failure cycle and replan the production path to ensure that the production tasks are completed on time and maintain the stability of production system. To address this issue, in this paper, we studied the event-driven rescheduling policy in dynamic environment, and established the usage rules of right-shift rescheduling and complete rescheduling based on the type of interference events. And then, we proposed the rescheduling decision method based on genetic algorithm for solving flexible job shop scheduling problem with machine fault interference. In addition, we extended the "mk" series of instances by introducing the machine fault interference information. The solution data show that the complete rescheduling method can respond effectively to the rescheduling of flexible job shop scheduling problem with machine failure interference.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 171784
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Racjonalizacja czasów przezbrojeń stanowisk roboczych
Rationalization of workplaces changeover times
Autorzy:
Matuszek, J.
Kasperek, T.
Powiązania:
https://bibliotekanauki.pl/articles/324543.pdf
Data publikacji:
2014
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
stanowisko robocze
harmonogramowanie zadań
normowanie czasu pracy
workplace
job scheduling
normalization of working time
Opis:
W artykule przedstawiono problem normowania czasów przezbrojeń stanowisk roboczych. Pokazano metody normowania czasów, scharakteryzowano czynniki mające wpływ na czasy działań produkcyjnych. Podano tok postępowania w procesach racjonalizacji czasów przezbrojenia. Scharakteryzowano przebieg przezbrojenia przykładowego stanowiska. Zaproponowano zmiany w pracach przezbrojenia, oceniono efekty dokonanych zmian.
The article presents the problem of normalization of changeover time at workstation. Basic methods of standardization working times are presented, characterized by factors affecting the times of production activities. Specified course of action in the process of rationalization of changeover times. The process of retooling at sample workstation is described. Changes to the process of changeover are described and their effects are assessed.
Źródło:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2014, 70; 287-299
1641-3466
Pojawia się w:
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization of sugar dispatching process
Autorzy:
Pytlak, R.
Powiązania:
https://bibliotekanauki.pl/articles/409091.pdf
Data publikacji:
2014
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
job shop scheduling
optimization in logistics
CLP in scheduling
constraint programming
Źródło:
Research in Logistics & Production; 2014, 4, 2; 105-118
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Specify of bottlenecks in conditions of unit and small-batch production
Autorzy:
Matuszek, J.
Mleczko, J.
Powiązania:
https://bibliotekanauki.pl/articles/384661.pdf
Data publikacji:
2009
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Theory of Constraints
job shop scheduling
moving bottlenecks
heuristic algorithm
Opis:
The manufacturing industry has evolved over the past several decades in response to changing customer needs. Customers have become more demanding and want products that can meet their specific individual requirements. The standard products previously produced in large batches are not sufficient to meet this variety demanded. Given the increased competition, both locally and globally, companies must also now respond faster to get and keep customers. Enterprises were forced to unit and small-batch production. Currently, advanced planning systems are coming into use, however their cost exceeds the possibilities of small and medium enterprises and algorithms used often require great customization to industries' needs and conditions of unit and small-batch production. The paper has been drawn on the basis of research on overloads of moving bottlenecks in conditions of unit and small batch production in real conditions having a big number of resources and tasks. The methods used so far are not capable of finding the global optimum of such big data ranges. The author took on building a heuristic algorithm, which could find solution good enough and based on TOC (Theory of Constraints) assumptions and verification of assumptions using tests in real production systems. The above method found application to the industrial scale, as extension of the ERP class system.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 3; 102-109
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
Autorzy:
Del Gallo, Mateo
Ciarapica, Filippo Emanuele
Mazzuto, Giovanni
Bevilacqua, Maurizio
Powiązania:
https://bibliotekanauki.pl/articles/27324213.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
data mining
association rules
optimization model
production scheduling
job-shop scheduling
flow shop scheduling
Opis:
Production problems have a significant impact on the on-time delivery of orders, resulting in deviations from planned scenarios. Therefore, it is crucial to predict interruptions during scheduling and to find optimal production sequencing solutions. This paper introduces a selflearning framework that integrates association rules and optimisation techniques to develop a scheduling algorithm capable of learning from past production experiences and anticipating future problems. Association rules identify factors that hinder the production process, while optimisation techniques use mathematical models to optimise the sequence of tasks and minimise execution time. In addition, association rules establish correlations between production parameters and success rates, allowing corrective factors for production quantity to be calculated based on confidence values and success rates. The proposed solution demonstrates robustness and flexibility, providing efficient solutions for Flow-Shop and Job-Shop scheduling problems with reduced calculation times. The article includes two Flow-Shop and Job-Shop examples where the framework is applied.
Źródło:
Management and Production Engineering Review; 2023, 14, 4; 56--70
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Meta-heuristic approach based on genetic and greedy algorithms to solve flexible job-shop scheduling problem
Autorzy:
Rezaeipanah, Amin
Sarhangnia, Fariba
Abdollahi, Mohammad Javad
Powiązania:
https://bibliotekanauki.pl/articles/2097966.pdf
Data publikacji:
2021
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
job-shop scheduling
meta-heuristic method
genetic algorithm
greedy algorithm
jobs priority
Opis:
Job-shop scheduling systems are one of the applications of group technology in industry, the purpose of which is to take advantage of the physical or operational similarities of products in their various aspects of construction and design. Additionally, these systems are identified as cellular manufacturing systems (CMS). In this paper, a meta-heuristic method that is based on combining genetic and greedy algorithms has been used in order to optimize and evaluate the performance criteria of the flexible job-shop scheduling problem. In order to improve the efficiency of the genetic algorithm, the initial population is generated by the greedy algorithm, and several elitist operators are used to improve the solutions. The greedy algorithm that is used to improve the generation of the initial population prioritizes the cells and the job in each cell and, thus, offers quality solutions. The proposed algorithm is tested over the P-FJSP dataset and compared with the state-of-the-art techniques of this literature. To evaluate the performance of the diversity, spacing, quality, and run-time criteria were used in a multi-objective function. The results of the simulation indicate the better performance of the proposed method as compared to the NRGA and NSGA-II methods.
Źródło:
Computer Science; 2021, 22 (4); 463--488
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decentralized job scheduling in the cloud based on a spatially generalized Prisoner’s Dilemma game
Autorzy:
Gąsior, J.
Seredyński, F.
Powiązania:
https://bibliotekanauki.pl/articles/329736.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
job scheduling
multiobjective optimization
genetic algorithm
prisoner's dilemma
cellular automata
harmonogramowanie zadań
optymalizacja wielokryterialna
algorytm genetyczny
dylemat więźnia
automat komórkowy
Opis:
We present in this paper a novel distributed solution to a security-aware job scheduling problem in cloud computing infrastructures. We assume that the assignment of the available resources is governed exclusively by the specialized brokers assigned to individual users submitting their jobs to the system. The goal of this scheme is allocating a limited quantity of resources to a specific number of jobs minimizing their execution failure probability and total completion time. Our approach is based on the Pareto dominance relationship and implemented at an individual user level. To select the best scheduling strategies from the resulting Pareto frontiers and construct a global scheduling solution, we developed a decision-making mechanism based on the game-theoretic model of Spatial Prisoner’s Dilemma, realized by selfish agents operating in the two-dimensional cellular automata space. Their behavior is conditioned by the objectives of the various entities involved in the scheduling process and driven towards a Nash equilibrium solution by the employed social welfare criteria. The performance of the scheduler applied is verified by a number of numerical experiments. The related results show the effectiveness and scalability of the scheme in the presence of a large number of jobs and resources involved in the scheduling process.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 4; 737-751
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evolutionary algorithms for job-shop scheduling
Autorzy:
Mesghouni, K.
Hammadi, S.
Borne, P.
Powiązania:
https://bibliotekanauki.pl/articles/907245.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
harmonogramowanie produkcji
algorytm ewolucyjny
reprezentacja równoległa
job-shop scheduling
evolutionary algorithms
parallel representation
Opis:
This paper explains how to use Evolutionary Algorithms (EA) to deal with a flexible job shop scheduling problem, especially minimizing the makespan. The Job-shop Scheduling Problem (JSP) is one of the most difficult problems, as it is classified as an NP-complete one (Carlier and Chretienne, 1988; Garey and Johnson, 1979). In many cases, the combination of goals and resources exponentially increases the search space, and thus the generation of consistently good scheduling is particularly difficult because we have a very large combinatorial search space and precedence constraints between operations. Exact methods such as the branch and bound method and dynamic programming take considerable computing time if an optimum solution exists. In order to overcome this difficulty, it is more sensible to obtain a good solution near the optimal one. Stochastic search techniques such as evolutionary algorithms can be used to find a good solution. They have been successfully used in combinatorial optimization, e.g. in wire routing, transportation problems, scheduling problems, etc. (Banzhaf et al., 1998; Dasgupta and Michalewicz, 1997). Our objective is to establish a practical relationship between the development in the EA area and the reality of a production JSP by developing, on the one hand, two effective genetic encodings, such as parallel job and parallel machine representations of the chromosome, and on the other, genetic operators associated with these representations. In this article we deal with the problem of flexible job-shop scheduling which presents two difficulties: the first is the assignment of each operation to a machine, and the other is the scheduling of this set of operations in order to minimize our criterion (e.g. the makespan).
Źródło:
International Journal of Applied Mathematics and Computer Science; 2004, 14, 1; 91-103
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improving the TSAB algorithm through parallel computing
Autorzy:
Rudy, Jarosław
Pempera, Jaroslaw
Smutnicki, Czesław
Powiązania:
https://bibliotekanauki.pl/articles/229535.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
job shop scheduling
parallel computing
operations research
taboo search
TSAB algorithm
coarse-grained parallelization
Opis:
In this paper, a parallel multi-path variant of the well-known TSAB algorithm for the job shop scheduling problem is proposed. Coarse-grained parallelization method is employed, which allows for great scalability of the algorithm with accordance to Gustafon’s law. The resulting P-TSAB algorithm is tested using 162 well-known literature benchmarks. Results indicate that P-TSAB algorithm with a running time of one minute on a modern PC provides solutions comparable to the ones provided by the newest literature approaches to the job shop scheduling problem. Moreover, on average P-TSAB achieves two times smaller percentage relative deviation from the best known solutions than the standard variant of TSAB. The use of parallelization also relieves the user from having to fine-tune the algorithm. The P-TSAB algorithm can thus beused as module in real-life production planning systems or as a local search procedure in other algorithms. It can also provide the upper bound of minimal cycle time for certain problems of cyclic scheduling.
Źródło:
Archives of Control Sciences; 2020, 30, 3; 411-435
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
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