Physical Sciences and Mathematics Commons^™

Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen Cheng

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …

Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen Cheng

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …

Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen CHENG

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …

Can The Financialised Atmosphere Be Effectively Regulated And Accounted For?, Patty Mcnicholas, Carolyn Windsor

Carolyn Windsor

Purpose – This paper aims to carry out a critical analysis of the proposed Australian emissions trading scheme (ETS) as a complex market solution to reduce greenhouse gases (GHGs). Specifically it seeks to examine the financial regulatory infrastructure that will more than likely oversee the Australian ETS, the same regulatory infrastructure which failed to prevent the global financial crisis.Design/methodology/approach – A critical examination of the financialisation of the atmosphere that follows the growth of the financialisation of capitalism when economic activity shifted from production and service sectors to finance. Financialisation of capitalism is supported by capitalist regulation influenced by neo-liberal …

Effect Of Retiring Custom Web Applications On Business And Information Technology Alignment, Shubhashree Thekahally

Shubhashree Thekahally 7340504

Web applications provide the information technology (IT) implementation of business and align IT with business. Retirement of IT applications should ensure stability of business and IT alignment. The current study investigated the alignment gaps created between business and IT resulting from retiring IT software applications. The purpose of this study was to identify IT integration points with business and provide a process-based solution that sustained IT alignment with business after retiring IT applications. The theoretical framework strategic alignment model aided in identifying 3 IT domains as the IT integration points with business: enterprise architecture, configuration management database, and service-level agreement. …

Enhancing Manufacturing Planning And Control Systems Through Artificial Intelligence Techniques, Ronald S. Dattero, John J. Kanet, Edna M. White

John J. Kanet

Manufacturing planning and control systems are currently dominated by systems based upon Material Requirements Planning (MRP). MRP systems have a number of fundamental flaws. A potential alternative to MRP systems is suggested after research into the economic batch scheduling problem. Based on the ideas of economic batch scheduling, and enhanced through artificial intelligence techniques, an alternative approach to manufacturing planning and control is developed. A framework for future research on this alternative to MRP is presented.

Capacity Planning With Financial And Operational Hedging In Low‐Cost Countries, Lijian Chen, Shanling Li, Letian Wang

Lance (Lijian) Chen

The authors of this paper outline a capacity planning problem in which a risk-averse firm reserves capacities with potential suppliers that are located in multiple low-cost countries. While demand is uncertain, the firm also faces multi-country foreign currency exposures. This study develops a mean-variance model that maximizes the firm’s optimal utility and derives optimal utility and optimal decisions in capacity and financial hedging size. The authors show that when demand and exchange rate risks are perfectly correlated, a risk- averse firm, by using financial hedging, will achieve the same optimal utility as a risk-neutral firm. In this paper as well, …

A Simulation-Based Approach To Solve A Specific Type Of Chance Constrained Optimization, Lijian Chan

Lance (Lijian) Chen

We solve the chance constrained optimization with convex feasible set through approximating the chance constraint by another convex smooth function. The approximation is based on the numerical properties of the Bernstein polynomial that is capable of effectively controlling the approximation error for both function value and gradient. Thus, we adopt a first-order algorithm to reach a satisfactory solution which is expected to be optimal. When the explicit expression of joint distribution is not available, we then use Monte Carlo approach to numerically evaluate the chance constraint to obtain an optimal solution by probability. Numerical results for known problem instances are …

Re-Solving Stochastic Programming Models For Airline Revenue Management, Lijian Chen, Tito Homem-De-Mello

Lance (Lijian) Chen

We study some mathematical programming formulations for the origin-destination model in airline revenue management. In particular, we focus on the traditional probabilistic model proposed in the literature. The approach we study consists of solving a sequence of two-stage stochastic programs with simple recourse, which can be viewed as an approximation to a multi-stage stochastic programming formulation to the seat allocation problem. Our theoretical results show that the proposed approximation is robust, in the sense that solving more successive two-stage programs can never worsen the expected revenue obtained with the corresponding allocation policy. Although intuitive, such a property is known not …

Ancillary Service Capacity Optimization For Both Electric Power Suppliers And Independent System Operator, Lijian Chen, Dengfeng Sun, Guang Li

Lance (Lijian) Chen

Ancillary Services (AS) in electric power industry are critical to support the transmission of energy from generators to load demands while maintaining reliable operation of transmission systems in accordance with good utility practice. The ancillary services are procured by the independent system operator (ISO) through a process called the market clearing process which can be modeled by the partial equilibrium from the ends of ISO. There are two capacity optimization problems for both Market participants (MP) and Independent System Operator (ISO). For a market participant, the firm needs to determine the capacity allocation plan for various AS to pursue operating …

Capacity-Driven Pricing Mechanism In Special Service Industries, Lijian Chen, Suraj M. Alexander

Lance (Lijian) Chen

We propose a capacity driven pricing mechanism for several service industries in which the customer behavior, the price demand relationship, and the competition are significantly distinct from other industries. According our observation, we found that the price demand relationship in these industries cannot be modeled by fitted curves; the customers would neither plan in advance nor purchase the service strategically; and the competition would be largely local. We analyze both risk neutral and risk aversion pricing models and conclude the proposed capacity driven model would be the optimal solution under mild assumptions. The resulting pricing mechanism has been implemented at …

Bringing Football Back To Los Angeles, Gabriel Leiner

Gabriel Leiner

Identifying a suitable parcel for a large scale professional football stadium in the greater Los Angeles, CA area, which does not conflict with current uses, environmental protection codes, or airspace rights, and also has adequate transportation access and nearby populated neighborhoods.

Smart Cities: Environmental Aspects And Opportunities, Marcus R. Wigan

Marcus R Wigan

Testimony Before The House Committee On National Security And The House Committee On Oversight And Government Reform, George H. Baker Iii

George H Baker

The Commission to Assess the threat to the United States from Electromagnetic Pulse, on which I served as principal staff, made a compelling case for protecting critical infrastructure against the nuclear electromagnetic pulse (EMP) and geomagnetic disturbances (GMD) caused by severe solar storms. Their 2008 Critical Infrastructure Report explains EMP effects, consequences, and protection means for critical infrastructure sectors. EMP and GMD are particularly challenging in that they interfere with electrical power and electronic data, control, transmission, and communication systems organic to nearly all critical infrastructures. The affected geography may be continental in scale. EMP and GMD events thus represent …

On Empirical Validation Of Compactness Measures For Electoral Redistricting And Its Significance For Application Of Models In The Social Science, Christine Chou, Steven O. Kimbrough, Frederic H. Murphy, John Sullivan-Fedock, C. Jason Woodard

C. Jason Woodard

Use of optimization models in science and policy applications is often problematic because the best available models are very inaccurate representations of the originating problems. Such is the case with electoral districting models, for which there exist no generally accepted measures of compactness, in spite of many proposals and much analytical study. This article reports on an experimental investigation of subjective judgments of compactness for electoral districts. The experiment draws on a unique database of 116 distinct, legally valid districting plans for the Philadelphia City Council, discovered with evolutionary computation. Subjects in the experiment displayed, in the aggregate, remarkable agreement …

Florida Undergraduate Research Conference Abstract 2015, Aaron D. Clevenger

Aaron D. Clevenger

A Right To Cybercounter Strikes: The Risks Of Legalizing Hack Backs, Jan Kallberg

Jan Kallberg

The idea to legalize hacking back has gained traction the last years and received several influential corporate and political proponents in the United States and Europe. The growing frustration with repeated cyberattacks and lack of credible law enforcement pushes for alternative ways to prevent future cyberattacks. As of today, counter cyberattacks are illegal in a majority of the nations because it constitutes another cybercrime independent from the initial attack. If cyber counter attacks were legalized it raises a set of questions. The first line of questions are linked to the underlying assumptions that the proposal to legalize counter cyberattacks are …

Alcts Crs Holdings Information Forum, 3-4 P.M. January 31, 2015, Connie Foster

Connie Foster

Cecilia Genereux (data management & access/metadata & intellectual access, University of Minnesota Libraries) introduced the session by confessing to a pun intended for her presentation: Alma: To Have and to Hold. The levity quickly shifted into some very detailed analysis of the way the Ex Libris Alma system handled specific types of serials during a migration from Aleph. The University of Minnesota started with Aleph (Ex Libris) in 2002 and moved to Alma on December 26, 2013. Frances McNamara (director, Integrated Library Systems and Administrative and Desktop Systems at University of Chicago), discussed migrating serials data from Horizon to Kulai …

Data, Analytics And Community-Based Organizations: Transforming Data To Decisions For Community Development, Michael P. Johnson Jr.

Michael P. Johnson

The past ten years have seen a revolution in two disciplines related to operations and strategy design. “Big Data” has transformed the theory and practice of producing and selling goods and services through methods associated with computer science and information technology. “Analytics” has popularized primarily quantitative models and methods by which organizations and systems can measure multiple aspects of performance. As these fields rely on information technology to collect, store, process and share data, we refer to the collection of knowledge and applications associated with Big Data and analytics as “data analytics and information technology.” The impacts of data analytics …