Showing papers in "Computers & Industrial Engineering in 2007"

TL;DR: It is suggested that a balanced SCM scorecard can be the foundation for a strategic SCM system provided that certain development guidelines are properly followed, appropriate metrics are evaluated, and key implementation obstacles are overcome.

TL;DR: The objectives of this paper are to exploit a systematic approach to improve the existing schedule of home care workers, and to develop the methodology to enable the continuous PSO algorithm to be efficiently applied to this type of problem and all classes of similar problems.

TL;DR: It is shown that the model provides an effective method to address uncertainties with little added cost in demand point coverage and the heuristics are able to generate good facility location solutions in an efficient manner.

TL;DR: A manufacturing quality yield model for forecasting 12 in.

TL;DR: A new genetic algorithm hybridized with an innovative local search procedure (bottleneck shifting) for the flexible job shop scheduling problem, which provides a closer approximation to real scheduling problems.

TL;DR: A fuzzy hierarchical TOPSIS model for the multi-criteria evaluation of the industrial robotic systems is proposed and an application is presented with some sensitivity analyses by changing the critical parameters.

TL;DR: A comprehensive hierarchical structure for selecting and evaluating a right employee is presented that can systematically build the goals of employee selection to carry out the business goals and strategies of an organization, identify the suitable factor and measure indicators, and set up a consistent evaluation standard for facilitating a decision process.

TL;DR: A hybrid multi-objective algorithm based on shuffled frog-leaping algorithm (SFLA) and bacteria optimization (BO) is deployed and shows that the proposed hybrid algorithm outperforms the existing genetic algorithms, significantly in large-sized problems.

TL;DR: It is shown that the FGDM approach offers a flexible, practical and effective way of modelling bridge risks.

TL;DR: Three types of fuzzy programming models – fuzzy expected cost minimization model, fuzzy a-cost minimizationmodel, and credibility maximization model – are proposed according to different decision criteria in order to model capacitated location–allocation problem with fuzzy demands.

TL;DR: The improved integrated DEA model presented is able to find the most efficient DMUs without solving the model n times (one linear programming (LP) for each DMU) and therefore allows the user to get faster results.

TL;DR: New heuristic reactive project scheduling procedures that may be used to repair resource-constrained project baseline schedules that suffer from multiple activity duration disruptions during project execution are described.

TL;DR: This paper considers minimizing the total weighted earliness and tardiness with a restrictive common due date in a single machine environment, which has been proved as an NP-hard problem.

TL;DR: While the Holt-Winters and the Box-Jenkins models showed satisfactory goodness of fit, the models did not perform as well in predicting unseen data during validation, on the other hand, the ANNs performed relatively well as they were able to track the dynamic non-linear trend and seasonality, and the interactions between them.

TL;DR: A genetic algorithm, integrated with Gantt chart, is proposed to derive the factory combination and schedule and is proved to be efficient in solving small-sized or medium-sized scheduling problems for a distributed manufacturing system.

TL;DR: Two new models for determining the OWA operator weights are proposed that do not follow a regular distribution and therefore make more sense than those obtained by other methods.

TL;DR: This paper aims to show the application of spanning tree-based Genetic Algorithm approach for solving nonlinear fixed charge transportation problem with new idea lies on the GA representation that includes the feasibility criteria and repairing procedure for the chromosome.

TL;DR: The study reveals that the innovative software companies regard three basic predictors significantly important for innovation capacity, however, the third predictor, cross-functional integration impacted the innovation capacity negatively.

TL;DR: A comprehensive overview on ANN approaches for solution of production scheduling problems is given, both theoretical developments and practical experiences are discussed, and research trends are identified.

TL;DR: This paper presents two optimization aggregation approaches to determine the relative weights of individual fuzzy preference relations so that they can be aggregated into a collective fuzzy preference relation in an additively optimal manner.

TL;DR: A conceptual framework and mathematical model, which integrates these decisions, and a hierarchical genetic algorithm (HGA) is developed to solve the integrated cell design problem and two heuristic operators are proposed to enhance its computational performance.

TL;DR: A new methodology of determining aggregated importance of ECs is presented which involves the consideration of conventional meaning of importance ofECs as well as the impacts of an EC on other ECs.

TL;DR: A mathematical programming model with a new numerical formula which presents the amount of delivery and sub-tour elimination and a hybrid genetic algorithm which considers the improvement of generation for an initial solution, three different heuristic processes, and a float mutation rate for escaping from the local solution in order to find the best solution.

TL;DR: This article considers an infinite horizon, single product economic order quantity where demand and deterioration rate are continuous and differentiable function of price and time, respectively and provides a simple algorithm to find the optimal selling price and replenishment schedule.

TL;DR: This research work is going to present a model for design and subsequently implement an expert system for making preferences and selection of suitable applicants for a considered job with respect to job and organizational requirements.

TL;DR: A synthetic vision of geographical information systems (GIS) applications that are state of the art in the renewable energy field and a methodological outline are contributed for GIS application in the rural electrification with renewable energy.

TL;DR: This paper deals with the optimization of hole-making operations in conditions where a hole may need several tools to get completed and an ant algorithm is developed to solve the proposed mathematical model.

TL;DR: This work provides a mixed integer linear programming model for the problem of shipping a set of products from a single origin to a common destination and proposes the modification of known heuristic algorithms to solve it.

TL;DR: A preemptive goal programming model to solve aggregate production planning for perishable products is developed, in which three objectives are optimized hierarchically and found the flexibility and robustness of the proposed model.

TL;DR: A recently developed, combined three-dimensional approach for CNO performance assessment, based on the key metrics of cost, payoff and agility is presented, with emphasis on the Join/Leave/Remain (JLR) problem which has been defined in this project.