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The behavior of network constraints in economic dispatch and unit commitment problem is examined in this paper. It analyses the constraints related to the power flow in a stochastic programming tool and tests different approaches for transmission loss computation. This work is part of an ongoing effort to develop tools for stochastic analysis of hybrid generation systems based up on the existing models...
We introduce a district level multiple buildings energy and power simulation framework. At the building level, the proposed simulation framework, SmartBuilds, leverages Energy-Plus as the core simulation engine for building energy assessment, thereby benefiting from the capabilities of a widely accepted and used state-of-the-art modeling tool. Building models may include batteries for energy storage...
This paper determines two solutions of Emergency resource distribution, according to the scene of disaster and the supplier distribution of emergency resource, the types and quantities of the inventory resource. The first one is the single save point - multi-disaster points integer programming model which offers three cases to determine the optimization distribution solution, and uses optimization...
The Internet of things is a new generation information network which realizes machine-to-machine communication. In view of the fact that people need the mobility of the Internet of things, the integration scheme of TD-SCDMA network and the Internet of things is designed. 3G TD-SCDMA network is used as the basic network of transmitting information of the Internet of things. At the same time, TD-SCDMA...
A Negotiable Evolutionary Algorithm (NEA) meta-heuristic approach is presented in this paper for solving the Integrated Production Planning and Scheduling (IPPS) problem in Flexible Manufacturing Systems (FMS). The NEA approach addresses the rationales that we have identified as the key features required for effectively solving complex IPPS problems. Considerable experiments have been conducted and...
Conventional project management techniques have been provided an effective tool to develop the optimal project schedule in the planning stage. However, in real world cases, very often projects are executed with high uncertainty and project changes are frequently occurred that can seriously delay projects and result in cost overruns. In order to handle the changes and deliver projects with established...
To schedule emergency goods scientifically and effectively so as to meet the demand of emergency goods within limited time under uncertain circumstance, grey theory is introduced to establish a multi-objective grey programming model in this paper. GM(1,1) is adapted and employed to predict emergency goods demand quantities. Both reducing emergency goods consumption and transportation cost to the greatest...
With the emergence of grid and cloud technologies, the problem of scheduling tasks in heterogeneous distributed systems has been arousing attention. In this paper, we present two scheduling techniques for optimizing overall execution time and minimizing resource usage cost. To evaluate the effectiveness of the proposed techniques, we have implemented both techniques along with the QoS Min-Min scheduling...
We believe that a market-based resource allocation will be effective in a cloud computing environment where resources are virtualized and delivered to users as services. We propose such a market mechanism to allocate services to participants efficiently. The mechanism enables users (1) to order a combination of services for workflows and co-allocations and (2) to reserve future/current services in...
Inventory-transportation integrated optimization in the distribution system is important research subject of logistics integration strategy. This paper analyses the relationship between inventory and transportation, builds the ITIO issue optimization based on milk-run mode, and combining the character of Model, this paper designs Genetic Algorithm of natural number coding to solve Vehicle Scheduling...
This study deals with the joint multi-item replenishment problem under trade credit. All existing studies about trade credit focused on single-item replenishment policy. However, joint multi-item replenishment has been widely applied in many industries to take advantage of transport economies of scale. In this paper we extend the traditional inventory model by considering trade credit and multi-item...
As Grid technologies evolve quickly on Internet, research related to resource scheduling faces new opportunities and challenges. These new technologies, ideas and approaches provide a new environment for researching and developing the economy-based resource scheduling system. Aiming at the hierarchical Grid model, following utility optimization thinking, while an universal flexible utility function...
The production process inside a hospital surgery department is made up of three distinct main sub-processes: waiting list management, operating theatre planning and scheduling, stay area sizing and organization. Overall department performance depends on how these sub-processes are managed as well as they are integrated. In the literature, they are mainly treated separately recurring to two approaches:...
In this paper, we propose a coordinated single-vendor multi-buyer supply chain model by synchronizing delivery and production cycles with trade credit option. The synchronization is achieved by scheduling the actual delivery days of the buyers and coordinating it with the vendor's production cycle. It can be shown that the synchronized cycles policy works better, in terms of total system costs, than...
The flexible scheduling of business process is crucial in the developing of enterprises, many researchers focus on the scheduling strategies, and many strategies were proposed. In this paper, eight classical scheduling strategies were introduced simply. The definition and some properties of compound number were mentioned in some short. We mainly discussed the application of the scheduling strategies...
According to the relationship of coordinated interaction between unit output and electricity price, an economic/risk/environmental generation optimal model for maximizing total profits in the dealing day and minimizing both risk and emissions was formulated in this paper. A new multi-objective differential evolution optimization algorithm, which integrated Pareto non-dominant sorting and differential...
Asset assignment and scheduling algorithms were developed and implemented to support a team-in-the-loop planning experiment conducted at the Naval Postgraduate School (NPS) in March 2009. The experiment examined planning and information flows among three cells in an abstracted and simplified Maritime Operations Center (MOC). This paper describes two optimization-based modules that focused on the Future...
Timber harvest planning deals with selecting a forest area to harvest in a particular time period take into consideration both economic and environmental issues. The problem has been modelled using unit restriction approach and area restriction approach. An optimal or a feasible harvest schedules subject to adjacency constraints is generated using exact methods or meta-heuristic optimization techniques...
It is well known that construction project management involves such objectives as duration, cost, quality, resource leveling and so on. It is necessary to integrate and balance multiple objectives in management process. So this paper firstly analyzes single-objective optimization models such as duration-cost model, duration-quality model and resource leveling model and the relationship between duration,...
Genetic Programming is applied to solve scheduling problems. The resulting tool simulates the PERT method of project control, and Genetic Programming provides multiple acceptable solutions. This tool has a wide application in the management of large and complex projects. It is a bio-inspired means to obtain solution in many disparate areas of activity such as for computer gaming, and when a complex...
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