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Wyszukujesz frazę "Logistics Network Problem" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Reverse Logistics Network Problem using simulated annealing with and without priority-algorithm
Autorzy:
Benaissa, M.
Slama, I.
Dhiaf, M. M.
Powiązania:
https://bibliotekanauki.pl/articles/223903.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
reverse logistics
Logistics Network Problem
mrLNP
priority-based encodin
simulated annealing
logistyka odwrotna
sieci logistyczne
Opis:
In recent years, Reverse Logistics (RL) has become a field of importance for all organizations due to growing environmental concerns, legislation, corporate social responsibility and sustainable competitiveness. In Reverse logistics, the used or returned products are collected after their acquisition and inspected for sorting into the different categories. The next step is to disposition them for repair, remanufacturing, recycling, reuse or final disposal. Manufacturers may adopt reverse logistics by choice or by force, but they have to decide whether performing the activities themselves or outsourcing to a third party (Martin et al., 2010). Lourenço et al., (2003) described three main areas of improvement within the RL process. Firstly, companies can reduce the level of returns through the analysis of their causes. Secondly, they can work on the improvement of the return’s process and, thirdly, they can create value from the returns. This paper considers the multistage reverse Logistics Network Problem (mrLNP) proposed by Lee et al., (2008). With minimizing the total of costs to reverse logistics shipping cost. We will demonstrate the mrLNP model will be formulated as a three-stage logistics network model. Since such network design problems belong to the class of NP-hard problems we propose a Simulated Annealing (SA) and simulated annealing with priority (priSA) with special neighborhood search mechanisms to find the near optimal solution consisting of two stages. Computer simulations show the several numerical examples by using, SA, priSA and priGA(Genetic algorithm with priority-based encoding method) and effectiveness of the proposed method.
Źródło:
Archives of Transport; 2018, 47, 3; 7-17
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
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
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