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In the last decades power systems witnessed the implementation of an organizational and operational restructuring that lead to the introduction of competitive mechanisms in some activities of the value chain. This is the case of generation and retailing with the development of wholesale and retail markets. These developments together with a renewed emphasis on the adoption of more sustainable solutions...
Taxi dispatch is a critical issue for taxi company to consider in modern life. This paper formulates the problem into a taxi-passenger matching model and proposes a parallel ant colony optimization algorithm to optimize the model. As the search space is large, we develop a region-dependent decomposition strategy to divide and conquer the problem. To keep the global performance, a critical region is...
This work focuses on wide-scale freight transportation logistics motivated by the sharp increase of on-line shopping stores and the upsurge of Internet as the most frequently utilized selling channel during the last decade. This huge ecosystem of one-click-away catalogs has ultimately unleashed the need for efficient algorithms aimed at properly scheduling the underlying transportation resources in...
The decision making framework in power system has changed due to presence of distributed energy resources (DERs). These resources are installed in distribution networks to meet demand locally. Therefore, distribution companies (Discos) are enabled to supply energy through these resources to meet their demand at a minimum operation cost. Moreover, in this framework, the Disco will change its role in...
The work covers the conceptual model supporting situation evaluation, forecast and control at power grid companies. The purpose of the paper is to design the intelligent instruments, which support making decisions by management of the Far Eastern power grid companies and regulators of their activities. We show the main stages of model development and provide the expanded algorithm for the model operation...
Most existing cost optimization solutions ignore the long-term benefits for the customer, which may reduce the efficiency of the demand response management (DRM). In addition, without a power balance constraint, the power generation and consumption optimization problems are solved separately, which may cause a huge waste in power production. This paper presents a two-stage game framework to model...
In inventory financing business, the collaterals' value may deteriorate due to poor supervision of Third Party Logistics Providers (3PLs), which can influence the default probability of financing enterprises and further the commercial banks' profits. Considering the supervision effort level of 3PLs, this paper studied the issue of optimizing loan-to-value (LTV) ratios of banks with underside risk...
In urban goods delivery, the service quality is affected by number of lorry, distance between two points, road blocking and assigned time of customers, etc. The lower efficiency of human power and delivery time are caused from poor route planning. A hybrid approach of route finding, which is involved in multi-objectives and lorry assignment, is developed for achieving the optimal delivery schedule...
Higher-level SCADA control centers are continuously implemented, upgraded and optimized. One of the most important SCADA software on the market is IGSS. It is frequently used in the water sector due to its appreciated characteristics. The paper presents a solution to optimize IGSS SCADA resources in the context of integrating water and waste water pumping stations into a higher level SCADA system,...
Several countries are encouraging the installation of distributed generation units with great success. The connection of these units to the existing electrical system gives rise to new challenges relating to the operation of the electrical system and operation of the protection. Thus, several recent studies suggest techniques to define the best protection settings to ensure coordination and selectivity...
The aeronautic industry is an industry that uses the most innovative technologies ensuring safety, quality and respect for the environment. Thus, the problem that arises is to manufacture, at the least cost, more comfortable, safer and more effective aircraft that meets the expectations of passengers and the requirements of the companies. As a matter of fact, our paper is aimed at and, through a hypothetical-deductive...
This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load...
We propose a probabilistic approach to the problem of schema mapping. Our approach is declarative, scalable, and extensible. It builds upon recent results in both schema mapping and probabilistic reasoning and contributes novel techniques in both fields. We introduce the problem of mapping selection, that is, choosing the best mapping from a space of potential mappings, given both metadata constraints...
In the big data era, it is vital to allocate the vast amount of data to various users efficiently. However, the data agents (data owners, collectors and users) are selfish and seek to maximize their own utilities instead of the overall system efficiency. In this paper, the data trading problem of a data market with multiple data owners, collectors and users is formulated and an iterative auction mechanism...
MapReduce has emerged as a popular programming model in the field of data-intensive computing. This is due to its simplistic design, which provides ease of use for programmers, and its framework implementations such as Hadoop, which have been adopted by large business and technology companies. One significant issue in practical MapReduce applications is data skew: the imbalance in the amount of data...
Process orientation of companies in combination with intelligent IT systems often forms the basis for many modern tendencies such as digitalization. This article analyses current BPM trends in a qualitative study and classifies them into three basic directions. There are technology-driven and human-driven BPM trends, both still follow the classical paradigm. However, optimization of workflows can...
Today's Challenge for many manufacturing companies is how to improve product quality and reduce the production cost of the products offered in the market. Quality improvement must be performed by a company to maintain its product's competitiveness in the market. Quality improvement and cost reduction can be performed by allocating investments to reduce the value of the variance in the component of...
In this paper, we propose a game theoretical analysis of supply chain configurations for two manufacturers and two retailers. The supply chain configuration is the structure of the leader-follower relationship in the decentralized decision making of pricing decisions for manufacturers and retailers. The effects of the supply chain configurations on the total profit are investigated. The closed-form...
The purpose of this paper is to identify areas throughout a product's lifecycle processes where complexity can be reduced by implementing a product configuration system (PCS). As discussed in the literature, several benefits are realized by using a PCS in terms of product and process standardization. This also leads to control and reduce of complexity both in products and processes. To this end, this...
Spoken language understanding and dialog management have emerged as key technologies in interacting with personal digital assistants (PDAs). The coverage, complexity, and the scale of PDAs are much larger than previous conversational understanding systems. As such, new problems arise. In this paper, we provide an overview of the language understanding and dialog management capabilities of PDAs, focusing...
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