نتایج جستجو برای: stochastic demand
تعداد نتایج: 268185 فیلتر نتایج به سال:
Location theory is one of the most important topics in optimization and operations research. In location problems, the goal is to find the location of one or more facilities in a way such that some criteria such as transportation costs, customer traveling distance, total service time, and cost of servicing are optimized. In this paper, we investigate the goal Weber location problem in which the...
The hub location–allocation problem under uncertainty is a real-world task arising in the areas such as public and freight transportation and telecommunication systems. In many applications, the demand is considered as inexact because of the forecasting inaccuracies or human’s unpredictability. This study addresses the robust uncapacitated multiple allocation hub location problem with a set of ...
The vehicle routing problem (VRP) determines a delivery route that minimizes the cost. In this study, we consider stochastic VRP with uncertainty and variation in customer demand, which may cause shortage of products during delivery. case, vehicles have to return depot replenish products. We model sum additional cost caused by normal
In this paper, we develop a zonal-based flexible bus services (ZBFBS) by considering both passenger demands’ spatial (origin-destination or OD) and volume stochastic variations. Service requests are grouped zonal OD pairs number of passengers per request, aggregated into demand categories which follow certain probability distributions. A two-stage program is formulated to minimize the expected ...
In critical energy infrastructure sectors (e.g. electric power generation, natural gas transportation, oil refining capacity) maintaining certain level of excess capacity is socially valuable (as it serves to protect against unexpected market conditions) but not necessarily compatible with the incentives for individual firms in the market. In this paper, we develop a dynamic oligopoly model wit...
Computational studies on two-stage stochastic programming problems indicate that aggregate models have better scale-up properties than disaggregate ones, though the threshold of breaking even may be high. In this paper we attempt to explain this phenomenon, and to lower this threshold. We present the on-demand accuracy approach of Oliveira and Sagastizábal in a form which shows that this approa...
This paper studies a Stochastic Multi-Period Location-Transportation Problem (SMLTP) characterized by multiple transportation options, multiple demand periods and a stochastic stationary demand. We consider the determination of the number and location of the depots required to satisfy a set of customer’s demands, and the mission of these depots in terms of the subset of customers they must supp...
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