Showing papers in "International Transactions in Operational Research in 1995"

TL;DR: The problem of optimizing the frequencies of transit lines in an urban transportation network is considered as a nonlinear nonconvex mixed integer programming problem and then it is converted into a bi-level Min-Min non Convex optimization problem, solved by a projected (sub)gradient algorithm.

TL;DR: This paper summarizes the main results presented in the literature, then gives lower bounds for the asymmetric version of PTP and PCTSP, and shows that large size instances of the asymmetrical PTP can be solved exactly.

TL;DR: In this article, a Gauss-Seidel type algorithm for the problem of adjusting an O-D matrix by using observed flows in congested networks is presented, where the problem is formulated as a bi-level optimization problem.

TL;DR: In this article, the problem of finding a planar graph that can be drawn on a plane without any edges intersecting with the highest sum of edge weights is formulated as a weighted maximal planar problem.

TL;DR: An approach to the analysis and design of software production processes that is based on a new paradigm that is a blend of concepts from Petri nets theory and activity nets theory is proposed, called ‘PETAN’.

TL;DR: In this paper, the possible uses for OR models and techniques in manufacturing planning and control (MPC) systems are investigated. But, the use of OR techniques in current standard MPC packages is rather restricted, and there is a potential for utilizing more OR-related techniques in computer-aided MPC systems, at least in theory.

TL;DR: Antithetic forecasting as discussed by the authors combines an original forecast with another forecast, produced from a time series which is antithetic (negatively correlated) to the original time series, such that the component forecasts have negatively correlated errors.

TL;DR: In this paper, the problem of estimating the number of production runs and the corresponding lot sizes in a batch type production system has been treated using fuzzy concepts in order to represent qualitative estimates that are expressed linguisticaly.

TL;DR: The paper discusses the main concepts of electric distribution system planning when loads are fuzzy modeled, and presents an illustrative application example.

TL;DR: The on-line application of nonlinear optimization methods for control in motorway networks is presented and a modified algorithm for the heuristic search of optimal discrete (binary value) control sequences is presented.

TL;DR: Two different neural network estimation algorithms, namely back-propagation and an algorithm incorporating a fuzzy controller for the learning rate, are investigated and both are capable of providing high-quality predictions.

TL;DR: This paper describes the process of decision support systems development for the optimization of the aggregate production planning problem for an important manufacturer of applicances in Chile, formulated as a mixed integer programming model, which is solved using CPLEX.

TL;DR: The problem is proved to be in general NP-hard in the strong sense, but in a class of special cases, relevant from the applications viewpoint, it can be solved in polynomial time by a dynamic programming algorithm.

TL;DR: This work proposes an approach that can be applied to improve the design of user interfaces for this type of system and make its implementation easier, based on tools that were adapted from the FW/SM system for Structured Modeling and commercially available tools, such as Powerbuilder and CPLEX.

TL;DR: The paper considers why this might be the case and challenges the OR community to get involved before it is too late and describes the contribution of ‘soft’ OR methods to the development of an IS strategy for a large retailing chain.

TL;DR: A case is developed for recognizing the distinctive contribution which OR scientists can make to the understanding and support of processes of developmental decision making, conceived as processes in which people work progressively to address ever-changing clusters of decisions which are richly connected and non-recurrent.

TL;DR: A heuristic is introduced that combines an integrated simulation model and an optimization technique (local search) that may be considered as a first step towards a more comprehensive and systematic analysis of climate change response strategies in a dynamic setting described by a simulation model.

TL;DR: A new approach to continuous-time optimal scheduling problems for a large class of manufacturing systems, based on multi-level bills of materials, flexible flow shops with setup effects and finite capacities on the shop floor, is introduced.

TL;DR: A state-of-the-art on the elements of the design methodology for Production Management Systems is presented and a concluding summary on the perspective of the PMS design approaches in the future is given.

TL;DR: In this article, the authors investigated the relationship between the number of boxes to be packed and the shelf heights that leads to minimal space wastage in the resulting packings, and they also considered the distribution of the box sizes, for which they distinguish three types: (a) the continuous uniform distribution U (0,1); (b) the discrete uniform distribution where M sizes {1/M,2/M,…,1} have equal probability of being chosen; and (c) an alternative discrete uniform distributed where m sizes { s 1, s 2,… s M

TL;DR: In this paper, the role of data banks in the process of generating information for public administration in a country under a Federal System of Government is discussed and an example is drawn from an effort to operationalize the concept within the National Statistical and Information System of Nigeria, a country with a relatively large public sector.

TL;DR: This paper studies two types of decision situation with heterogeneous attributes, the first one concerns situations with known importance variables, the second one concerns those with incomplete information about the importance variables.

TL;DR: Dynamic assignment and arrival time choice models and computational procedures to perform this assessment for various traffic scenarios and hypotheses about users' behaviour are presented and discussed.

TL;DR: This study proposes a new approach that combines neural network, analytic hierarchy process (AHP) and linear programming (LP) to address the problem of new product introduction.

TL;DR: A framework which combines the paper prototype method with systems concepts to develop the visual model is described and is described in which a VIS-based DSS provides support to the owner of a company selling telephone systems.

TL;DR: The deterministic sampling rate is obtained which, in case of breakdown minimizes the number of defective units.

TL;DR: In this paper, the authors discuss the use of options and futures in minimizing the domestic currency cost of repaying a foreign currency debt, using a nonlinear integer stochastic programming model.

TL;DR: Empirical evidence is offered on integrated MSS effectiveness by pointing to the general literature on MSS effects, notes an empirical gap in this literature, and reports the results of experiments that assess the influences of a specific integrated M SS on the process and outcomes of strategic hospital decision making.

TL;DR: This work proposes an approach, inspired by system concepts and technology management, which includes softer influences, such as decision frequency, model life cycle and technological stage of management, to help modeling and model management decisions.

TL;DR: By analyzing actual corporate planning procedures, a method to classify management information used for decision making into several groups according to their characteristics is proposed, which will help select appropriate data as well as keep the data updated and readjusted to fit the continuously changing corporate planning environment.