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59 articles for “Linear Programming”
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Research ArticleOpen accessIn the abstractWeighted Centroid Modified Simplex and Linear Constrained Response Surface Optimization Methods for the Xbar-R Chart Variable DeterminationPongchanun LuangpaiboonProblem statement: Although economic Xbar-R chart designs do guarantee the minimal operating cost, they typically have poor levels of statistical performance measures. The obvious limitation of the economic design is that the Type I error rate seems to be very high for many situations and will cause a large number of false alarms. This situation leads to an investigation of … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,115 accessesView PDFCite
Research ArticleOpen accessIn the abstractPeriodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraint and Varying Holding CostNaglaa Hassan El-SodanyProblem statement: This study treats the probabilistic safety stock n-items inventory system having varying holding cost and zero lead-time subject to linear constraint. Approach: The expected total cost is composed of three components: the average purchase cost; the expected order cost and the expected holding cost. Results: The policy variables for this model are the number of periods N*r and … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 29 Jan 2011 · 7,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy PredictionAlireza Bahiraie, Noor Akma bt Ibrahim, A. K.M. AzharProblem statement: Theoretical based data representation is an important tool for model selection and interpretations in bankruptcy analysis since the numerical representation are much less transparent. Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-scalicity are solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. Approach: This study … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenders' Decomposition Based Heuristics for Large-Scale Dynamic Quadratic Assignment ProblemsSirirat Muenvanichakul, Peerayuth CharnsethikulProblem statement: Dynamic Quadratic Assignment Problem (DQAP) is NP hard problem. Benders decomposition based heuristics method is applied to the equivalent mixed-integer linear programming problem of the original DQAP. Approach: Approximate Benders Decomposition (ABD) generates the ensemble of a subset of feasible layout for Approximate Dynamic Programming (ADP) to determine the sub-optimal optimal solution. A Trust-Region Constraint (TRC) for the … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 7,681 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwo Mathematical Modeling Approaches for Integrating Production and Transportation Decisions in the Process IndustryMohamed K. Omar, A. AjithaIn this study we focus on coordination of the production planning of finished products and intermediate products in the process industry. The problem consists of two manufacturing facilities with similar production environment, one producing the intermediates and the other producing end products that are separated by a distance. There is transportation between the facilities. The problem considered has been formulated … …American Journal of Applied Sciences, Vol. 5, Issue 8 · 31 Aug 2008 · 6,521 accessesView PDFCite
Research ArticleOpen accessIn the abstractParallel Approaches for Intervals Analysis of Variable Statistics in Large and Sparse Linear Equations with RHS RangesPeerayuth CharnsethikulThis study proposes an algorithm capable of working in parallel for solving large and sparse linear equations under given right hand side (RHS) ranges. A comparative study to the direct linear programming method is reported theoretically, computationally and discussed. Moreover, the approach can be adapted for the system under domain decompositions structure leading to a better efficiency experimentally. …American Journal of Applied Sciences, Vol. 4, Issue 5 · 31 May 2007 · 6,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Integrated Production Scheduling System in the Process IndustryMohamed K. Omar, Yasothei A.P. Suppiah, Siew C. TeoThis study introduces a three-level hierarchical production planning and scheduling approach developed and implemented in a resin factory. Our approach proposes at the first level a mixed-integer linear programming for solving the aggregate planning model. At the second level, a weighted-integer goal-programming model is developed to disaggregate the developed aggregate plans. A sequencing algorithm is developed for the third level … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractPeriodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraints and Varying Order CostHala A. FerganyThis study treats the probabilistic safety stock n-items inventory system having varying order cost and zero lead-time subject to two linear constraints. The expected total cost is composed of three components: the average purchase cost; the expected order cost and the expected holding cost. The policy variables in this model are the number of periods Nr* and the optimal maximum … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 7,631 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Pareto Solutions of a Dynamic C Chart: An Application of Statistical Process Control on a Semiconductor Devices Manufacturing ProcessToni Lupo, Filippo SgroiThe present paper proposes a novel economic-statistical design procedure of a dynamic c control chart for the Statistical Process Control (SPC) of the manufacturing process of semiconductor devices. Particularly, a non-linear constrained mathematical programming model is formulated and solved by means of the ϵ-constraint method. A numerical application is developed in order to describe the Pareto frontier, that is the … …American Journal of Applied Sciences, Vol. 12, Issue 4 · 28 May 2015 · 6,473 accessesView PDFCite
Research ArticleOpen accessIn the abstractMULTICAST ROUTING WITH QUALITY OF SERVICE CONSTRAINTS IN THE AD HOC WIRELESS NETWORKSAbdellah Idrissi, Fadoua YakineThe recent multimedia applications and services are very demanding in terms of Quality of Service (QoS). This creates new challenges in ensuring QoS when delivering those services over wireless networks. Motivated by the need of supporting high quality multicast applications in wireless ad hoc networks, we propose a network topology that can minimize the power when connecting the source node … …Journal of Computer Science, Vol. 10, Issue 9 · 30 Apr 2014 · 6,890 accessesView PDFCite