Identifying and Structuring Values to Guide Integrated Resource Planning at Bc Gas
British Columbia Gas, a major utility, was required by the British Columbia Utilities Commission (BCUC) to develop an integrated resource plan that addressed multiple objectives and involved the participation of stakeholders. To assist BC Gas, we ...
Using Analogical Reasoning and Schema Formation to Improve the Success in Formulating Linear Programming Models
In this paper we look at alternative ways of teaching linear programming model formulation and show that the material needs to be presented within the context of a structure that improves the ability of students to apply the models to subsequent ...
Dynamic Vehicle Dispatching: Optimal Heavy Traffic Performance and Practical Insights
We analyze a general model of dynamic vehicle dispatching systems in which congestion is the primary measure of performance. In the model, a finite collection of tours are dynamically dispatched to deliver loads that arrive randomly over time. A load ...
Routing Through Virtual Paths in Layered Telecommunication Networks
We study a network configuration problem in telecommunications where one wants to set up paths in a capacitated network to accommodate given point-to-point traffic demand. The problem is formulated as an integer linear programming model where 0-1 ...
Asymptotic Mean and Variance of Electric Power Generation System Production Costs Via Recursive Computation of the Fundamental Matrix of a Markov Chain
The cost of producing electricity during a given time interval is a random variable that depends both on the availability of the generating units during the study horizon and on the magnitude of the load. Based upon a Markov model, we present a ...
Myopic Heuristics for the Random Yield Problem
We consider a single item periodic review inventory problem with random yield and stochastic demand. The yield is proportional to the quantity ordered, with the multiplicative factor being a random variable. The demands are stochastic and are ...
Optimal System Design with Multiple Decision Makers and Possible Debt: a Multicriteria De Novo Programming Approach
This paper applies multicriteria de novo programming to formulate and solve problems of system design that involve multiple decision makers and a possible debt. In the framework of the system design model, each involved decision maker has his or her own ...
A Heuristic Method for the Set Covering Problem
We present a Lagrangian-based heuristic for the well-known Set Covering Problem (SCP). The algorithm was initially designed for solving very large scale SCP instances, involving up to 5,000 rows and 1,000,000 columns, arising from crew scheduling in the ...
Fast Algorithms for Parametric Scheduling Come From Extensions to Parametric Maximum Flow
Chen (1994) develops an attractive variant of the classical problem of preemptively scheduling independent jobs with release dates and due dates. Chen suggests that in practice one can often pay to reduce the processing requirement of a job. This leads ...
A Fully Polynomial Approximation Scheme for the Weighted Earliness-Tardiness Problem
A fully polynomial approximation scheme for the problem of scheduling n jobs on a single machine to minimize total weighted earliness and tardiness is presented. A new technique is used to develop the scheme. The main feature of this technique is that ...
Improved Design of Queueing Simulation Experiments with Highly Heteroscedastic Responses
Simulation experiments for analysing the steady-state behaviour of queueing systems over a range of traffic intensities are considered, and a procedure is presented for improving their design. In such simulations the mean and variance of the response ...
Inferring Balking Behavior From Transactional Data
Balking is the act of not joining a queue because the prospective arriving customer judges the queue to be too long. We analyze queues in the presence of balking, using only the service start and stop data utilized in Larson's Queue Inference Engine (...
Analysis of Lagrangian Lower Bounds for a Graph Partitioning Problem
Recently, Ahmadi and Tang (1991) demonstrated how various manufacturing problems can be modeled and solved as graph partitioning problems. They use Lagrangian relaxation of two different mixed integer programming formulations to obtain both heuristic ...
A Facet Generation Procedure for Solving 0/1 Integer Programs
This paper presents the Facet Generation Procedure (FGP) for solving 0/1 integer programs. The FGP seeks to identify a hyperplane that represents a facet of an underlying polytope to cut off the fractional solution to the linear programming relaxation ...