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Decision support systems play an increasingly important role in disaster management research. Coordination of rescue units during disaster response is one of the many areas which may benefit from this development. Time pressure, resource shortages, different capabilities of rescue units and the interdependence of scheduling and allocation tasks belong to the key challenges which emergency operation...
In this paper we focus on the problem of optimizing a Multistage Production Network (MPN), in which a number of products need to be manufactured. Each product can be produced by one or more assembly node processes, where each assembly is composed of several machines working in parallel. For the required demand of the output products, a decision must be made on how much should be produced by each MPN...
The skyline operation is a typical Multicriteria Decision Making (MCDM) that has been well studied in database context. The basic assumption of convention-al skyline operator is preference-ordered values within multi-dimensional decision tables. This assumption utilizes preference-ordered values to simplify the complex human preference, which is subject to big challenges in real applications. In this...
Paper machines are extremely complex systems which require a deep knowledge of the relations between levels of usage of factors and characteristics of the process/final product. In this paper we propose to capture the tacit knowledge of experts in the form of a fuzzy ontology. Based on the fuzzy ontology, we introduce a knowledge based system which can ultimately recommend what factors should be increased,...
Motivated by many social phenomena such as bird flocking and fish schooling, in this paper three types of constrained hybrid multiagent swarm optimization (HMSO) algorithms are presented to address the constrained optimization problem by incorporating the fly-back mechanism into the update formula for the particle's position. The original HMSO algorithm is proposed for solving unconstrained, continuous...
In order to optimally schedule energy, consumers need to understand their energy utility function. The traditional utility function must be modified when consumers acquire production capabilities and become prosumers. This paper presents a formal economic model for prosumers, appropriately integrating distributed generation, storage and demand response capabilities. We identify the limitations of...
In this paper we propose a Peak Load Allocation Market framework designed to incentivize organizational units of Commercial and Industrial customers to reduce their peak demand. The market mechanism requires units' bids to indicate the value they associate with power services, and the power requirement for these services. The market resolution produces a service and payment allocation, i.e., determination...
We present a novel selection algorithm for N-2 contingency analysis problem. The algorithm is based on the iterative bounding of line outage distribution factors and successive pruning of the set of contingency pair candidates. The selection procedure is non-heuristic, and is certified to identify all events that lead to thermal constraints violations in DC approximation. The complexity of the algorithm...
In this paper, we present a methodology to incorporate the service offered by an aggregator of longer duration deferrable loads in the Unit Commitment (UC) optimization. The description of the deferrable demand we propose is accurate, yet not computationally intensive, and can be added to any type of UC optimization so that the ISO can use time-shift able loads as an additional dispatch able resource...
Recent studies have shown that dynamic removal of transmission lines from operation ("Transmission Switching") can reduce costs associated with power system operation. Smart Grid systems introduce flexibility into the transmission network topology and enable co-optimization of generation and network topology. The optimal transmission switching (OTS) problem has been posed in on small test...
Distributed energy resources, such as renewable energy resources (wind, solar), energy storage and demand response, can be used to complement conventional generators. The uncertainty and variability due to high penetration of wind makes reliable system operations and controls challenging, especially in isolated systems. In this paper, an optimal control strategy is proposed to coordinate energy storage...
Order sets as part of computerized provider order entry (CPOE) have the potential to improve care delivery by making it faster and easier for physicians to enter orders and by guiding care according to known best practices. Currently, order sets are not utilized to their full extent due to factors such as user inexperience, lack of updated content with evolving best practices, and inability to modify...
Advanced Process Control is an important research area in Semiconductor Manufacturing to improve process stability crucial for product quality. Especially in low-volume-high-mixture fabrication plants, knowledge discovery in databases is extremely challenging due to complex technology mixtures and reduced availability of data for comparable process steps. Thus, actual research focuses on Data Mining...
Requirements heterogeneity is a crucial problem in enterprise system (ES) projects. Organizational units working divergently (e.g., due to regional differences) are a root cause. To encounter this problem, we analyze how the application of an upstream business process harmonization and optimization (BPHO) reduces requirements heterogeneity in ES projects. We conducted an in-depth longitudinal case...
In an increasingly complex technical environment, failure is accepted as a way of maximizing potential, a way of growing up. Experience can be utilized to improve designs, advance product maturity, and at the same time, can increase team's training and education. It is not enough to understand the development tools to ensure a project's success. Understanding how to plan, measure, communicate, interact,...
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