658 research outputs found
Quantitative Evaluation of the Supply Chain Collaboration
No full textSupply Chain Collaboration (SCC) is defined as a status of optimized overall utility of the supply chain under the precondition of satisfactions of each supply chain member. The achievement of SCC is relative to the
cooperation mechanisms or contracts among members. To evaluate the degree of SCC in different contracts, a quantitative index of Collaboration Percent (CP) is defined, which can be used to evaluate the efficiency of the supply chain resources usage and direct the design and improvement of the contracts among supply chain members. The results of theoretic analysis and numerical experiments proved the validation of the quantitative evaluation index CP.is peer reviewedSubmitted by Linlin Cui ([email protected]) on 2007-10-03T02:06:18Z
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Previous issue date: 2007-05published or submitted for publicatio
Fault detection and fault-tolerant control for nonlinear systems
No full textLinlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence conditions for the nonlinear observer-based FD systems to gain a deeper insight into the construction of FD systems. Aided by the T-S fuzzy technique, she recommends different design schemes, among them the L_inf/L_2 type of FD systems. The derived FD and FTC approaches are verified by two benchmark processes. Contents Overview of FD and FTC Technology Configuration of Nonlinear Observer-Based FD Systems Design of L2 nonlinear Observer-Based FD Systems Design of Weighted Fuzzy Observer-Based FD Systems FTC Configurations for Nonlinear Systems< Application to Benchmark Processes Target Groups Researchers and students in the field of engineering with a focus on fault diagnosis and fault-tolerant control fields The Author Dr. Linlin Li completed her dissertation under the supervision of Prof. Steven X. Ding at the Faculty of Engineering, University of Duisburg-Essen, Germany
Economic-Model-Driven Enterprises Simulation Modeling Method
No full textAiming at the insufficiency of the description capability of the decision scenarios while setting up supply chain simulation models, an economic-model-driven enterprises simulation modeling method is proposed based on a brief review of previous results. A graphic modeling method, named Decision Network Diagram (DND), is carefully designed based on the semantic extension of the influence diagram, using which, the coupling relationships among economic models can be pictured and the least-maximum paths of the graph hint and assist the design of simulation processes. An example is introduced to illustrate the use of DND.is peer reviewedSubmitted by Linlin Cui ([email protected]) on 2008-08-27T19:37:46Z
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Previous issue date: 2008published or submitted for publicatio
Modeling and existence of enterprise synergy mechanisms
No full textCooperation between companies provides synergy, through imp roved supply chain coordination. Th is paper gives a formal definition of the enterprise synergy problem (ESP) and criteria for the existence of the ESP mechanism. The ESP is defined as the optimal status of the overall supply chain for a given set of mechanism s on the condition that each enterprise in the chain gains its satisfied utility. The p roof of the existence of a given set of mechanism s show s that an arbitrary supply chain can achieve synergy as long as it s members are sufficiently concerned about
long-term targets.is peer reviewedSubmitted by Linlin Cui ([email protected]) on 2008-08-27T19:27:34Z
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Research on the Formal Modeling and Existence of Mechanisms for Enterprises’ Synergy.pdf: 155484 bytes, checksum: ea1039690e767a42bdb6d2503cd64c32 (MD5)Approved for entry into archive by Cindy Ingold([email protected]) on 2008-08-27T19:35:24Z (GMT) No. of bitstreams: 1
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Research on the Formal Modeling and Existence of Mechanisms for Enterprises’ Synergy.pdf: 155484 bytes, checksum: ea1039690e767a42bdb6d2503cd64c32 (MD5)
Previous issue date: 2008-04国家“十一五”科技支撑计划(2006BAH02A05)published or submitted for publicatio
Business Process Based Simulation: A Powerful Tool for Demand Analysis of Business Process Reengineering and Information System Implementation
No full textSubmitted by Linlin Cui ([email protected]) on 2008-08-27T19:31:18Z
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fpaper.pdf: 368750 bytes, checksum: c3f82b87512b91f32cebf7bd94b82210 (MD5)Demand analysis is of fundamentally importance in the implementation of information system. Business process reengineering (BPR) often gets involved in the process of demand analysis and play a crucial role in the achieve-ment of project objectives. Business process based simu-lation (BPS) provides a precise and visual method to ana-lyze and compare the concerned performances before and after BPR. The paper presents an industrial experience in using the BPS tool to demonstrate the effects of BPR on restraining stocking-up and overdue payments in the dis-tribution management of a supply chain. Before signifi-cant investment involved, the related design result of BPR is validated both by the analytical method and simulation experiments. Based on the mutual supportive results, the BPS method approves its correctness and show its nicety, flexibility and the capacity of visualization.is peer reviewedApproved for entry into archive by Cindy Ingold([email protected]) on 2008-08-27T19:35:45Z (GMT) No. of bitstreams: 1
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Previous issue date: 2008published or submitted for publicatio
Tidal-, Wind-, and Buoyancy-Driven Dynamics in the Barataria Estuary and Its Impact on Estuarine-Shelf Exchange Processes
No full textA three-dimensional, high-resolution, Finite-Volume Coastal Ocean Model (FVCOM) was used to study the dynamics of Barataria Estuary located in the Southeastern Louisiana. Three numerical experiments with different discharge scenarios, including the actual discharge (average ~ 160 m3 s-1) from the Davis Pond Diversion (DPD) over three months from April to June 2010, no discharge (NO), and the proposed Mid-Barataria Diversion (MBD) with a constant discharge of 850 m3 s-1, were conducted to investigate the impacts of river diversions on salinity gradients and residence times in the estuary. The three-month average salinity indicated that surface salinity had less variation in the DPD scenario compared with that in the NO scenario, while bottom salinity differences between the DPD and the NO scenarios were as high as ~ 4. On the other hand, the maximum average salinity for both surface and bottom in the MBD scenario exhibited a reduction of ~ 12 compared with that in the NO scenario, with a larger area at the bottom than at the surface. Both the DPD and the MBD had a great impact on the residence time of Barataria Bay, where the average residence time was reduced from 15 days in the NO scenario, to 6 (4) days in the DPD (MBD) scenario, when passive particles were released at flood slack.
Barataria Pass is one of the four tidal inlets connecting the Barataria Bay with the coastal ocean and has the greatest estuarine-shelf exchange. The lateral circulation in the inlet showed a pair of counter-rotating circulation developing during flood tide, while unidirectional flow occurred during ebb tide. Analysis of 3-D momentum equations revealed that nonlinear advection is the dominant force generating lateral circulation in this narrow inlet. Model results showed that ebb tides transported freshwater seaward through this inlet to form radially spreading estuarine plumes over the adjacent continental shelf. Wind-driven coastal circulation determined the subtidal variations of the plume when the upstream freshwater discharge rate was almost constant. Particles released near the seaward side of the inlet at ebb slack could be transported into the bay, however, most of them were expelled out during the next ebb tides and floated over the convergence zone of the plume front
Effects of edaphic factors on spatial variation of net primary productivity in the coastal salt marshes
No full textA novel hybrid technique for short-term electricity price forecasting in deregulated electricity markets
No full textThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Short-term electricity price forecasting is now crucial practice in deregulated electricity markets, as it forms the basis for maximizing the profits of the market participants. In this thesis, short-term electricity prices are forecast using three different predictor schemes, Artificial Neural Networks (ANNs), Support Vector Machine (SVM) and a hybrid scheme, respectively.
ANNs are the very popular and successful tools for practical forecasting. In this thesis, a hidden-layered feed-forward neural network with back-propagation has been adopted for detailed comparison with other forecasting models. SVM is a newly developed technique that has many attractive features and good performance in terms of prediction. In order to overcome the limitations of individual forecasting models, a hybrid technique that combines Fuzzy-C-Means (FCM) clustering and SVM regression algorithms is proposed to forecast the half-hour electricity prices in the UK electricity markets. According to the value of their power prices, thousands of the training data are classified by the unsupervised learning method of FCM clustering. SVM regression model is then applied to each cluster by taking advantage of the aggregated data information, which reduces the noise for each training program.
In order to demonstrate the predictive capability of the proposed model, ANNs and SVM models are presented and compared with the hybrid technique based on the same training and testing data sets in the case studies by using real electricity market data. The data was obtained upon request from APX Power UK for the year 2007.
Mean Absolute Percentage Error (MAPE) is used to analyze the forecasting errors of
different models and the results presented clearly show that the proposed hybrid
technique considerably improves the electricity price forecasting
Pre-Positioning Facility Location and Resource Allocation in Humanitarian Relief Operations Considering Deprivation Costs
No full textAlleviating human sufferings during and in the aftermath of disasters is one of the most important goals in humanitarian relief logistics. The lack of relief commodities, especially life-saving items, is a life-threatening loss to victims and must be considered when making emergency supply allocation and transportation decisions, even in the pre-disaster prepositioning phase. This paper proposes a scenario-based stochastic program that integrates the decisions of prepositioning facility locations, quantities of stocked emergency supplies, and service allocations in each scenario in the same modeling framework. The estimation of victims’ losses for waiting for emergency supplies is measured in the typical deprivation cost function and treated as one of the main bases of decision making, besides traditional transportation costs, in determining the service allocation strategies in each scenario. Specifically, a case study with data from the hurricane threat in the Gulf Coast area of the US was conducted to demonstrate the application of this model and the significance of considering victims’ welfare loss in humanitarian relief logistics. Some interesting managerial insights were also drawn from a series of numerical experiments and sensitivity analyses
Humanitarian logistics and emergency relief management: hot perspectives and its optimization approach
No full textPost-disaster humanitarian relief is full of importance, complexity and difficulty, which makes people pay more attentions to various disaster relief measures and emergency management practices related to disaster preventions and reductions. The main purpose of humanitarian relief is to protect the lives of the victims in the affected areas and provide victims with the indispensable relief materials to survive from the unexpected disaster. Therefore, this paper puts its focus on some key decisions raised in the process of post-disaster humanitarian relief activities and summarizes the state-of-the-art researches in the area of critical emergency facility location, relief material allocation, emergency vehicle routing and the incorporation of the interests of the victims in the modeling framework. Specifically, through the analysis, this paper draws some key questions that can be further explored in the current research, in order to lay the foundation for the follow-up research, and can better serve the emergency rescue transportation practice under disaster conditions
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