A new model and solution for the energy minimizing vehicle routing problem with time windows (EVRPTW) and customers’ priority is presented in this paper. In this paper unlike prior attempts to minimize cost by minimizing overall traveling distance, the model also incorporates energy minimizing which meets the latest requirements of green logistics. This paper includes the vehicles load as an ad...

A proper understanding of human performance characteristics is a prerequisite for designers of complex systems. Although human factors texts provide some insights into basic performance issues, the emergence of highly automated computing systems have fundamentally altered the way humans work. The purpose of this article is to present a research approach to quantify and analyze human performance...

This work investigates allocation of tasks to multi-robots when tasks are spatially distributed and constrained to be executed within assigned time windows. Our work explores the interaction between scheduling and optimal routing. We propose the Time-Sensitive Sequential Single-Item Auction algorithm as a method to allocate tasks with time windows in multi-robot systems. We show, experimentally...

Most operating system schedulers are not flexible enough to support dynamic scheduling policies like earliest deadline first and least slack algorithms. Some of these algorithms are widely used in real-time applications. This paper looks into the issues involved in developing a real-time scheduler for a general purpose operating system. We describe the implementation of a user-level threads pac...

Multiple Correspondence factorial Analysis is a multivariate method for the exploratory study of multidimensional contingency tables. Its use can be extended to the analysis of a table of fuzzy coded data resulting from a distribution into fuzzy windows defined by linguistic properties. There are few existing software tools that allow performing this type of analysis on a data table; furthermor...

One of the most important issues concerning the sensor data in the Wireless Sensor Networks (WSNs) is the unexpected data which are acquired from the sensors. Today, there are numerous approaches for detecting anomalies in the WSNs, most of which are based on machine learning methods. In this research, we present a heuristic method based on the concept of “ensemble of classifiers” of data minin...

project participants are becoming more aware of the high costs and risks associated with delay claims and their litigation. among delays, weather delay has an important role in projects performed in severe environmental conditions. this research is the extension of delay analysis techniques by approving analysis of weather delays using fuzzy logic. at the presented technique, first using a fuzz...

The Traveling Salesman Problem with Time Windows (TSPTW) is the problem of finding a minimum-cost path visiting a set of cities exactly once, where each city must be visited within a given time window. We present an extended formulation for the problem based on partitioning the time windows into sub-windows, which we call buckets. We present cutting planes for this formulation that are computat...

The TSP, VRP and OP problems with time constraints have one common sub-problem – the task of finding the minimum route duration for a given order of customers. While much work has been done on routing and scheduling problems with time windows, to this date only few articles considered problems with multiple time windows. Moreover, since the assumption of constant travel time between two locatio...

Nowadays, several methods in production management mainly focus on the different partners of supply chain management. In real world, the capacity of planes is limited. In addition, the recent decade has seen the rapid development of controlling the uncertainty in the production scheduling configurations along with proposing novel solution approaches. This paper proposes a new mathematical model...