Showing papers in "International Transactions in Operational Research in 1996"

TL;DR: The main characters of Heuristics ‘derived’ from Nature are described, a border area between Operations Research and Artificial Intelligence, with applications to graph optimization problems.

TL;DR: In this paper, a medium term market simulation model was built to analyse the effects of contracts and of company structure on the efficiency of a wholesale electricity market, with the sub-models at each stage being Cournot duopolies.

TL;DR: In this article, the authors derive implicit prices corresponding to an actual half-hourly dispatch of a full a.c. power system, and discuss the application of spot pricing in New Zealand and the United States.

TL;DR: This paper presents a multiple objective linear programming model for power generation expansion planning incorporating DSM, aimed at assisting decision makers in a progressive and selective search of good compromise solutions.

TL;DR: A procedure to determine the optimal set of parameters relevant to heuristics based on the Simulated Annealing technique, an algorithm which is widely applied to combinatorial problems in the field of manufacturing systems is discussed.

TL;DR: The multicriteria decision-making model as mentioned in this paper allows the evaluation of options against a wide range of criteria, grouped in a hierarchical structure, allowing a planner to compare the range of alternatives against both a desired level of performance and a minimum acceptable level.

TL;DR: In this paper, the authors present a framework for designing, analyzing and improving systems and processes via discrete event simulation, which incorporates a robust design philosophy into a response surface metamodeling approach, and provides the analyst with an increased level of control relative to industrial experimentation.

TL;DR: Recent research on MDP computation, with application to hydro-power systems is surveyed, and three main approaches are discussed: (i) discrete DP, (ii) numerical approximation of the expected future reward function, and (iii) analytic solution of the DP recursion.

TL;DR: In this paper, the authors proposed a multiple-period, multiple-plant, multipleobjective, and stochastic location model to help the multinational firm formulate viable location strategies in the changing world marketplace.

TL;DR: It is shown that a node-path linear programming approximation to the multi-commodity network flow formulation solves the problem for medium and large network sizes in moderate computational times.

TL;DR: Results are presented showing how the two models can be used together in order to study the operational and economic impact of wind and photovoltaic power when integrated into the electrical grid systems of England and Wales, the Republic of Ireland and Portugal.

TL;DR: In this paper, the authors describe the application of system dynamics to two very different energy policy contexts, both of which constitute key issues of the 1990s, and investigate how far systems modelling and simulation can provide the broad policy oriented framework required for these new purposes.

TL;DR: In this article, the authors illustrate the potential importance of non-linear dynamical systems theory in OR/MS queuing systems and present an outlook to further potential applications of such systems in dynamic programming.

TL;DR: An analytical method is proposed to model the truck-shovel system as a closed queueing network with multiple job classes to provide the capability of estimating system performance measures for planning purposes when the truck fleet is not necessarily composed of identical trucks.

TL;DR: Rank-order consistency as mentioned in this paper is a generalization of transitive consistency that allows a decision-maker to specify the rank-order of objects in an AHP pairwise comparison matrix.

TL;DR: The tactical planning to determine the frequency of trains and the routing of freight cars is modeled as an integer piecewise linear programming and an algorithm based on simulated annealing has been implemented to solve the model.

TL;DR: The role of OR in the New Zealand electricity sector has changed as the institutional structure has changed, and we might expect to find similar changes as the process of deregulation affects various sectors around the world as discussed by the authors.

TL;DR: In this article, the authors introduce a model for analysing costs within a teleworking organization, which can be seen as a modified transaction cost approach which considers the opportunity costs of activities.

TL;DR: In this article, a mixed integer linear programming model was developed to define rural electrification programs for Colombian regions, where several objectives such as economic efficiency, minimum municipal electricity coverage, municipal electricity development priorities and some others are included in the model.

TL;DR: An overview of quantitative tools designed to facilitate settlement of contentions in Brazilian hydroelectric systems is given, addressing scheduling policies for different utilities operating on the same stream and the operation of hydroplants when a variety of other users step into the scene.

TL;DR: In this article, the authors present and discuss the results of three case studies which look into the use of models in a longitudinal decision process, and introduce the associated application of psychological profiling of the group of decision makers involved.

TL;DR: Modern design practice has displaced serial approaches in favour of concurrent engineering design (CED), which takes several fields simultaneously into consideration, using interaction and iteration to proceed towards generally acceptable solutions.

TL;DR: This paper presents a chronological stochastic method for evaluating the reliability of a generation system, taking operating considerations into account, using a sequential Monte Carlo production simulation to evaluate the risk level associated with the chronological operation of the system over a year.

TL;DR: In this algorithm a class of non-convex optimization techniques is applied to an approximated variation of the problem and subsequently a local search scheme is incorporated for the final improvement of obtained solutions.

TL;DR: An approach where the formulation semantics are captured as a simple ‘action- resource’ view which composes models by identifying and piecing together the equation components is proposed.