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نتیجه جستجو - مشکل مسیریابی خودرو

تعداد مقالات یافته شده: 3
ردیف عنوان نوع
1 Multi-objective sustainable opened- and closed-loop supply chain under mixed uncertainty during COVID-19 pandemic situation
چندین هدف پایدار حلقه بسته و حلقه بسته تحت عدم اطمینان مخلوط در طی وضعیت همه گیر COVID-19-2021
Logistics problems play a significant role in an emergency situation. During and after a critical circumstance (like pandemic COVID-19), it is an important task to active the opened- and closed-loop system through an efficient and resilient supply chain network. This paper considers a multi-objective multi-product multi-period two-stage sustainable opened- and closed-loop supply chain planning to maintain supply among production centers and various hospitals during COVID-19 pandemic situation. To build a less contagious network, transportation problem and pick-up-delivery vehicle routing problem are designed as two stages, respectively to carry out distribution. We allow a mixed uncertain environment by considering uncertain-random parameters in the proposed model to express ambiguity in real-life data. A multi-attribute decision making approach is suggested to determine the priorities of affected areas, according to their urgency in terms of entropy weights. Moreover, a robust optimization approach for uncertain-random parameter is developed to cope with uncertainty in different scenarios, and thereafter augmented weighted Tchebycheff method is applied to solve the model. To demonstrate the practicability of the proposed model and solving approach, three test problems with reasonable sizes are considered and results are discussed through some sensitivity analyses.
Keywords: Sustainable opened- and closed-loop supply chain | Mixed uncertainty | Multi-attribute decision making | Transportation problem | Pick-up-delivery vehicle routing problem | Robust optimization.
مقاله انگلیسی
2 Combining Production and Distribution in Supply Chains: the Hybrid Flow-Shop Vehicle Routing Problem
ترکیب تولید و توزیع در زنجیره های تأمین: مشکل مسیریابی وسایل نقلیه فروشگاه های گلخانه ای ترکیبی-2021
Many supply chains are composed of producers, suppliers, carriers, and customers. These agents must be coordinated to reduce waste and lead times. Production and distribution are two essential phases in most supply chains. Hence, improving the coordination of these phases is critical. This paper studies a combined hybrid flow-shop and vehicle routing problem. The production phase is modeled as a hybrid flow-shop configuration. In the second phase, the produced jobs have to be delivered to a set of customers. The delivery is carried out in batches of products, using vehicles with a limited capacity. With the objective of minimizing the service time of the last customer, we propose a biased-randomized variable neighborhood descent algorithm. Different test factors, such as the use of alternative initial solutions, solution representations, and loading strategies, are considered and analyzed.
Keywords: hybrid flow-shop problem | vehicle routing problem | biased randomization | metaheuristics
مقاله انگلیسی
3 Dynamic Routing: Anticipation of Emission-Sensitive Traffic Management
مسیریابی پویا: پیش بینی مدیریت ترافیک حساس به انتشار-2017
Delivery companies are affected by emission-sensitive traffic management systems. These systems are installed in cities to react instantly to emission hot-spots through adapting traffic light programs at intersections. This results in a change of the travel times for the delivery vehicle. In this paper, we model the problem in a dynamic vehicle routing problem with stochastic transition of deterministic travel time matrices. To solve this problem, we apply approximate value iteration, a method of approximate dynamic programming, to anticipate future travel time matrix changes in dynamic routing decisions. We vary the approach in the level of information about the state of the traffic management system. This allows to distinguish the required information for the routing decisions. Further, we compare the dynamic and anticipatory routing policies with a static a priori routing. Computational studies show an improved tour duration of routing with traffic management information over the a priori routing by up to 6.5%. We further show that an efficient representation of the traffic management system status in the approximate value iteration approach is mandatory to achieve sufficient anticipation.
Keywords: Vehicle Routing Problem | City Logistics | Emissions | Correlated Travel Times | Approximate Dynamic Programming
مقاله انگلیسی
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