Showing papers in "International Transactions in Operational Research in 2001"

TL;DR: A two-level personnel selection fuzzy model is presented: short list and hiring decision, an attempt to minimize subjective judgment in the process of distinguishing between an appropriate employee and an inappropriate employee for a job vacancy.

TL;DR: In this paper, the authors considered the case of the weight constrained shortest path problem (WCSPP) defined on a graph without cycles and presented a new exact algorithm, based on scaling and rounding of weights.

TL;DR: In this article, the authors describe the algorithms implemented in DARIA, a PC program for the optimization of static and dynamic dial-a-ride problems, and briefly illustrate two case studies and future developments of the DARIA project.

TL;DR: In this article, three new cost sharing warranty policies for second-hand products are presented and analyzed for the cost of these warranty policies when offered with the sale of secondhand products.

TL;DR: In this paper, a differentiable penalty method for nonlinear programming subject to inequality constraints is proposed, which is completely differentiable and combines features of both exterior and interior penalty methods.

TL;DR: A methodology is employed to classify regions within a forest area according to factors that affect the development of a forest fire and a maximal covering model is employed that takes into account the classification of regions by varying coverage in regions of different class.

TL;DR: In this paper, a stochastic, three-hierarchical location-allocation model for successively arranging the spatial patterns of banking facilities is proposed, which considers the internal dynamics and functional dependence of different hierarchies of banking services.

TL;DR: In this paper, the DEA method is employed to evaluate the financial position of enterprises in an industry based on four synthetic ability indices, based on these indices, and an example is cited to demonstrate the effectiveness of the method in combining DEA with AHP.

TL;DR: Some simple models to study the expected warranty cost for products sold with free replacement warranty with varying usage intensity for one-dimensional warranty policies are dealt with.

TL;DR: In this article, the authors considered the constrained two-dimensional cutting stock problem and developed a new algorithm, which uses a very efficient branching strategy for the solution of this problem, which enables the early rejection of partial solutions that cannot lead to optimality.

TL;DR: In this article, a linear description of the convex hull of incidence vectors of all the cycles consisting of exactly $k$ edges in the complete undirected graph with n vertices is given.

TL;DR: In this paper, the effect of capacity constraints on the optimal locations of the new facilities is analyzed, and a general fixed cost function is also included to account for practical considerations such as zoning regulations, and to permit the facilities to be located anywhere on the line instead of only at the fixed vertices.

TL;DR: In this article, a learning-oriented interactive reference direction algorithm for solving multi-objective convex nonlinear integer programming problems is presented, where each iteration the decision-maker sets his/her preferences as aspiration levels of the objective functions and the modified aspiration point and the solution found at the previous iteration define the reference direction.

TL;DR: In this article, a class of constrained nonlinear integer programs, which arise in manufacturing batch-sizing problems with multiple raw materials, are considered and both binary and real coded genetic algorithms with six different penalty functions are developed.

TL;DR: In this article, the authors derived the minimum variance unbiased estimator and the maximum likelihood estimator of the stationary probability function (pf) of the number of customers in a collection of independent M/G/c/c subsystems.

TL;DR: In this article, the retailer's profit-maximizing decision-making strategy when confronted with any one of three temporary trade promotions is developed. But the authors do not consider how much of the offer the retailer should pass on to its own customers, the kind of retail promotion needed to accompany the vendor's trade promotion, and what effect these policies have on retailer's demand for its own products.

TL;DR: In this article, an upper bound for the number of identical circles to pack into the pallet is computed by the ratio reduced pallet area/circle area, and the results obtained for five distinct sets of problems are analyzed and compared with previous bounds found in the published literature.

TL;DR: The dominance relation and the lower bound are established and used to develop a branch-and-bound algorithm and several heuristics are developed that have the desirable property that the error does not increase by the number of jobs.

TL;DR: The experimental results revealed that the MTS was an effective method for robust face identification, and could effectively reduce the number of attributes required for identification.

TL;DR: The International Federation of Operational Research Societies (IFORS) celebrated forty years since its formation in 1999 as discussed by the authors, and the main activities of IFORS, conferences, publications, and support for developing countries, financial aspects, kindred societies, in particular AGIFORS, and IFORs involvement in FIACC are discussed.

TL;DR: In this article, the optimal double expenditure policy is compared with the conservative delayed investment policy, under which all the routine engineering activities are delayed until the risky R&D efforts culminate in a breakthrough.

TL;DR: In this article, the optimal distribution of a limited number of tsunami detectors was identified, given that a maximum of six potential buoy sites has already been determined, and two objective functions were developed, one for a Pacific-wide warning potential, and the second for a more specific USA warning potential.

TL;DR: A multi-product, multi-period,Multi-objective linear programming model has been built as a contribution to good management of a blood donation‐transfusion system to determine the best assignment of blood resources to demand, which minimizes the quantity of blood imported from outside the system and stabilizes the quantities assigned daily.

TL;DR: This work investigates the use of genetic algorithms for solving constrained optimization models using penalty function based GAs, and develops both binary and real coded genetic algorithms with six different penalty functions.

TL;DR: An integrated model, using linear programming together with a heuristic, has been developed to perform joint decision-making on fuel supply, maintenance, generation, and transmission for the Northern Regional Electricity Board (NREB) of India.

TL;DR: In this paper, the authors describe the experience gained from a research collaboration between a group of researchers at the National University of Singapore and logistics executives in Sembcorp Logistics (formerly ST Logistics), in the latter's effort to develop a marketing and strategic planning software tool to enhance its third party logistics (3PL) services in China.

TL;DR: A new decision support system called ORMADSS (for Optimal Reservoir Management Active Decision Support System) is discussed here, designed to aid medium-scale reservoir managers in their complicated decision-making processes.

TL;DR: This paper describes experiments in which a simulation model of a typical toll plaza with varying mixes of vehicle types and tollbooth allocations was used to aid in the design of automated toll collection toll booths.

TL;DR: This paper presents a systematic integrated method, with the key elements of input-occupancy-output analysis, nonlinear variable coefficient forecasting equations, and minumum sum of absolute value technique to predict China’s grain output.

TL;DR: This research proposes the solution to the ‘Distributed Social Dilemma’ as an extended social dilemma model, and introduces competitive meta- players to evaluate how the meta-players effect to increase cooperation amongst players in a distributed social dilemma.