چکیده:
The location-routing problem is a relatively new branch of logistics system. Its objective is to
determine a suitable location for constructing distribution warehouses and proper
transportation routing from warehouse to the customer. In this study, the location-routing
problem is investigated with considering fuzzy servicing time window for each customer.
Another important issue in this regard is the existence of congested times during the service
time and distributing goods to the customer. This caused a delay in providing service for
customer and imposed additional costs to distribution system. Thus we have provided a
mathematical model for designing optimal distributing system. Since the vehicle locationrouting
problem is Np-hard, thus a solution method using genetic meta-heuristic algorithm
was developed and the optimal sequence of servicing for the vehicle and optimal location for
the warehouses were determined through an example.
خلاصه ماشینی:
"In this study, the location-routing problem is investigated with considering fuzzy servicing time window for each customer.
location-routing problems can be categorized according to these characteristics consists of hierarchical layers, structural levels, number of the facilities, fleet size, transportation capacity, facility capacity, demand, planning, time windows, number of objective functions, the solution space, data types and methods for solving.
(2011) consider a capacitated vehicle location-routing problem using fuzzy transportation time and certain time window for supplying the customers' demands.
In the studies done, applying fuzzy time window to model vehicle location-routing has not been widely addressed and only Fazel Zarandi et al.
Hence, the current study investigates vehicle capacitated location-routing problem in fuzzy demand situation via taking into account fuzzy time window in order to offer services to the customers and through looking at the traffic density of the transportation routes.
Mathematical models The model presented in this paper, offers a solution for the location - routing problem with fuzzy time window and includes objectives such as minimizing total costs and maximizing customer satisfaction level.
In this regard, the total cost includes of (delete) the warehouse cost, the vehicle fixed cost, the transportation cost from one node to another node and resulted penalty cost from exposure to the time window of traffic routes.
In this paper, first we present a simulated algorithm for calculation purposes then solution structure in terms of genetic algorithms for solving the location - routing problem with fuzzy time windows and traffic hours is described."