Operations Research, Systems Engineering and Industrial Engineering Commons^™

Research Methodologies And The Field Of Decision Analysis.Pdf, Jeffrey Keisler

Jeffrey Keisler

Structuring Financial Incentives For Residential Solar Electric Systems, Kevin C. Van Blommestein, Yonghee Cho, Tugrul U. Daim, Paul Sklar

Joseph Cho

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

In Memoriam: Howard Raiffa, Jeffrey Keisler

Jeffrey Keisler

No abstract provided.

Humanitarian Logistics Network Design For An Effective Disaster Response, Soumia Ichoua

Soumia Ichoua

In this paper we address the problem of pre-positioning emergency supplies prior to a disaster onset. The goal is to ensure a fast and effective response when the disaster strikes. Pre-positioning of emergency supplies is a strategic decision aimed at determining the number and location of local distribution centers as well as their inventory levels for emergency supplies. These decisions must be made in a highly disruption-prone environment where a timely response is vital and resources are scarce. We present and discuss a scenario-based model that integrates location, inventory and routing decisions.

Project Management Decisions With Uncertain Targets, Jeffrey Keisler, Robert Bordley

Jeffrey Keisler

Project management decision rules presume that fixed and inflexible targets have been defined for the project. If a project's slack is defined as the difference between actual project performance and these targets, then these decision rules can be characterized as maximizing the probability that slack is non-negative (i.e., maximizing the probability of meeting the targets). These rules rely on z-scores to compare uncertain performance to target levels. Following these decision rules will not always suffice for the project manager to act consistently with customer preferences. In particular, actual requirements may be uncertain or subject to change, and customers may have …

Exploiting Knowledge About Future Demands For Real-Time Vehicle Dispatching, Soumia Ichoua, Michel Gendreau, Jean Yves Potvin

Soumia Ichoua

An important, but seldom investigated issue in the field of dynamic vehicle routing and dispatching is how to exploit information about future events to improve decision making. In this paper, we address this issue in a real-time setting with a strategy based on probabilistic knowledge about future request arrivals to better manage the fleet of vehicles. More precisely, the new strategy introduces dummy customers (representing forecasted requests) in vehicle routes to provide a good coverage of the territory. This strategy is assessed through computational experiments performed in a simulated environment.

Enhanced Adaptive Management: Integrating Decision Analysis, Scenario Analysis And Environmental Modeling For The Everglades, Matteo Convertino, Christy Foran, Jeffrey Keisler, Lynn Scarlett, Andrew Loschiavo, Greg Kiker, Igor Linkov

Jeffrey Keisler

A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd

Davood Golmohammadi

Scheduling in a job-shop system is a challenging task. Simulation modelling is a well-known approach for evaluating the scheduling plans of a job-shop system; however, it is costly and time-consuming, and developing a model and interpreting the results requires expertise. As an alternative, we have developed a neural network (NN) model focused on detailed scheduling that provides a versatile job-shop scheduling analysis framework for management to easily evaluate different possible scheduling scenarios based on internal or external constraints. A new approach is also proposed to enhance the quality of training data for better performance. Previous NN models in scheduling focus …

Ict For Poverty Alleviation In Pacific Island Nations: Study Of Icts4d In Fiji, Deogratias Harorimana, Opeti Rokotuinivono, Emali Sewale, Fane Salaiwai, Marica Naulu, Evangelin Roy

Dr Deogratias Harorimana

ICT for Poverty Alleviation in Pacific Island Nations: Study of ICTs4D in Fiji There has been a vague and little knowledge on the role or potential of Information and Communications Technologies (ICTs) in relation to addressing poverty in Fiji. This may be probably due to the newness of the technology in the South Pacific Region as a whole but also probably due to the fact that only 9.7% of the current Fiji 931,000 populations are internet users (ITC Figures 2011). This paper reports on finding how ICTs is contributing towards poverty alleviation in Fiji. On the basis of reviewed best …

A Business Model Perspective For Icts In Public Engagement, Mutaz M. Al-Debei, Panagiotis Panagiotopoulos, Guy Fitzgerald, Tony Elliman

Dr. Mutaz M. Al-Debei

Public institutions, in their efforts to promote meaningful citizen engagement, are increasingly looking at the democratic potential of Information and Communication Technologies (ICTs). Previous studies suggest that such initiatives seem to be impeded by socio-technical integration barriers such as low sustainability, poor citizen acceptance, coordination difficulties, lack of understanding and failure to assess their impact. Motivated by these shortcomings, the paper develops and applies a business model perspective as an interceding framework foranalysisandevaluation. The underlying principlebehind thisapproachisthatit isnottechnology per se which determines success, but rather the way in which the business model of the technological artifact is configured and employed …

Issues In Human Capital Development : Lessons For Public Administration And Governance, Deogratias Harorimana Mr

Dr Deogratias Harorimana

With few minerals or other natural resources, Rwanda believes that she can still achieve her ambitions by investing in human capital - her unique resource. If this ambition can be achieved, then is this the next role model for international development? We used a case study design and analysis methods to examine development models used elsewhere in recent decades, using both qualitative and quantitative data on Rwanda to establish the comparative advantages in relation to Singapore’s economic development model. The implications for international development are that (1) an effective human capital development strategy should be inclusive enough to respond to …

The Best Selection Of Strategic Plans In Balanced Scorecard Using Multi-Objective Decision Making Model, J Dodangeh

Jay Daniel

Roads Or Radar: The Tradeoff Between Investments In Infrastructure And Forecasting When Facing Hurricane Risk, Eric Bickel, Seong Dae Kim

Eric Bickel

When faced with a significant risk, society must decide howmuch to invest in prediction and response. For example, in the face of hurricane risk how much should we invest in better forecasting versus increased evacuation speed? To address this need, we develop a Markov decision processes model to analyze the interaction between the emergency response system and the emergency forecasting system. The model shows the tradeoff between the two investments given a budget limit. In addition, the research indicates that the superiority of the investment changes sharply by the lead time.

Neural Network Application For Supplier Selection, Davood Golmohammadi Phd

Davood Golmohammadi

No abstract provided.

Some Comparisons Among Quadratic, Spherical, And Logarithmic Scoring Rules, Eric Bickel

Eric Bickel

Strictly proper scoring rules continue to play an important role in probability assessment. Although many such rules have been developed, relatively little guidance exists as to which rule is the most appropriate. In this paper, we discuss two important properties of quadratic, spherical, and logarithmic scoring rules. From an ex post perspective, we compare their rank order properties and conclude that both quadratic and spherical scoring perform poorly in this regard, relative to logarithmic. Second, from an ex ante perspective, we demonstrate that in many situations, logarithmic scoring is the method least affected by a nonlinear utility function. These results …

Combining Multi-Attribute Utility And Geographic Information For Boundary Decisions: An Application To Park Planning, Jeffrey Keisler, Ronald Sundell

Jeffrey Keisler