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Wyświetlanie 1-2 z 2
Tytuł:
Iterated Local Search for Foundry Lot-sizing and Scheduling Problem with Setup Costs
Autorzy:
Stawowy, A.
Duda, J.
Powiązania:
https://bibliotekanauki.pl/articles/379789.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
information technology
foundry industry
scheduling problem
production planning
local search heuristics
technologia informatyczna
przemysł odlewniczy
szeregowanie zadań
planowanie produkcji
wyszukiwanie lokalne
Opis:
The paper presents a novel Iterated Local Search (ILS) algorithm to solve multi-item multi-family capacitated lot-sizing problem with setup costs independent of the family sequence. The model has a direct application to real production planning in foundry industry, where the goal is to create the batches of manufactured castings and the sequence of the melted metal loads to prevent delays in delivery of goods to clients. We extended existing models by introducing minimal utilization of furnace capacity during preparing melted alloy. We developed simple and fast ILS algorithm with problem-specific operators that are responsible for the local search procedure. The computational experiments on ten instances of the problem showed that the presence of minimum furnace utilization constraint has great impact on economic and technological conditions of castings production. For all test instances the proposed heuristic is able to provide the results that are comparable to state-of-the art commercial solver.
Źródło:
Archives of Foundry Engineering; 2017, 17, 4; 161-164
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimal vehicle route schedules in picking up and delivering cargo containers considering time windows in logistics distribution networks: A case study
Autorzy:
Le, Thi Diem Chau
Nguyen, Duy Duc
Oláh, Judit
Pakurár, Miklós
Powiązania:
https://bibliotekanauki.pl/articles/1839502.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Menedżerów Jakości i Produkcji
Tematy:
vehicle routing problem
logistics distribution network
time window
guided local search
tabu search
simulated annealing
problem trasowania pojazdów
sieć dystrybucji
okno czasowe
wyszukiwanie lokalne
symulowane wyżarzanie
Opis:
This study describes a pickup and delivery vehicle routing problem, considering time windows in reality. The problem of tractor truck routes is formulated by a mixed integer programming model. Besides this, three algorithms - a guided local search, a tabu search, and simulated annealing - are proposed as solutions. The aims of our study are to optimize the number of internal tractor trucks used, and create optimal routes in order to minimize total logistics costs, including the fixed and variable costs of an internal vehicle group and the renting cost of external vehicles. Besides, our study also evaluates both the quality of solutions and the time to find optimal solutions to select the best suitable algorithm for the real problem mentioned above. A novel mathematical model is formulated by OR tools for Python. Compared to the current solution, our results reduced total costs by 18%, increased the proportion of orders completed by internal vehicles (84%), and the proportion of orders delivered on time (100%). Our study provides a mathematical model with time constraints and large job volumes for a complex distribution network in reality. The proposed mathematical model provides effective solutions for making decisions at logistics companies. Furthermore, our study emphasizes that simulated annealing is a more suitable algorithm than the two others for this vehicle routing problem.
Źródło:
Production Engineering Archives; 2020, 26, 4; 174-184
2353-5156
2353-7779
Pojawia się w:
Production Engineering Archives
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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