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 ...

Considering the vehicle routing problem with fuzzy demand and time windows, a optimization method is proposed considering both soft windows uncertain customer demand. First, chance-constrained programming model established based on credibility theory, minimizing total logistics cost. At same time, random simulation algorithm designed to calculate penalty cost of delivery failures caused by that...

We present a modification of the vehicle routing problem with the additional restriction that time windows are associated with each customer by defining an interval wherein the customer has to be supplied. We introduce a two phase strategy of this vehicle routing and scheduling problem with time windows using fuzzy logic to realize inference steps in fuzzy if-then rule bases.

The NP-hard problem of vehicle routing and scheduling problem with fuzzy time windows and fuzzy goal is formulated and two heuristic algorithms for solving this problem are presented.

Many traditional environment applications base their operations on using sensor. For instance, the Tagged World uses the information from sensors to identify user behaviour and to provide services. We present a method to limit an user behaviour through external user knowledge: a Temporal Window. However, an user behaviour has random imprecision by definition. Thus, we have adapted the method to...

In this paper fuzzy VRPTW with an uncertain travel time is considered. Credibility theory is used to model the problem and specifies a preference index at which it is desired that the travel times to reach the customers fall into their time windows. We propose the integration of fuzzy and ant colony system based evolutionary algorithm to solve the problem while preserving the constraints. Compu...