The selection of appropriate machines is one of the most critical decisions in the design and development of a successful production environment. In this study, a user-friendly decision support system is proposed for machine tool selection. This system guides the decision-maker in selecting available machines via effective algorithms, such as the Analytic Hierarchy Process (AHP). Cost analysis ...

The analytic center cutting plane method (ACCPM) is one of successful methods to solve nondifferentiable optimization problems. In this paper ACCPM is used for the first time in the vehicle routing problem with time windows (VRPTW) to accelerate lagrangian relaxation procedure for the problem. At first the basic cutting plane algorithm and its relationship with column generation method is clari...

We extrapolate lattice calculations of electric charge radii of the spin-1/2 baryon octet to the physical regime. The extrapolation procedure incorporates chiral perturbation theory and heavy quark effective theory in the appropriate limits. In particular, this procedure includes the non-analytic, logarithmic terms from pion loops. The electric charge radii of the nucleons and Σ − obtained from...

This paper describes a new optimization procedure called Diffusion which can be used in global circuit placement for suppressing inter-module and module-to-chip boundary overlaps. A salient feature of the proposed Diffusion procedure is that multiple decisions on the moves of all variables (module positions) are simultaneously made such that a global, analytic objective function is minimized. V...

In this paper we present a functional Bayesian method for detecting genes which are temporally differentially expressed between several conditions. We identify the nature of differential expression (e.g., gene is differentially expressed between the first and the second sample but is not differentially expressed between the second and the third) and subsequently we estimate gene expression temp...

The decision modeling process requires much time and effort, and the resulting model, such as an influence diagram is applicable to only one specific problem. Existing studies reusing prior knowledge have some drawbacks, such as knowledge representation or lack of case problems. The basic idea of case-based reasoning is that humans reuse the problem solving experience to solve current problems....

One of the most important factors that limit the performance of diffractive optical elements (DOE's) is the depth accuracy of the relief structure. A common procedure for fabricating DOE's is the binary optics procedure, in which binary masks are used for the fabrication of a multilevel relief structure. Here an analytic procedure for calculating the optimal depth levels of DOE's, the phase bia...

Microarray technology for gene expression studies offers powerful new technology for understanding changes in gene expression as a function of other observable or manipulable variables. However, microarrays also pose a number of new challenges. One of the most prominent of these is the difficulty in establishing a procedure for declaring whether a gene's expression level is associated with the ...

Deep sea mining tailings disposal is a new environmental challenge related to water pollution, mineral crust waste handling, and ocean biology. The objective of this paper is to propose a new tailings disposal procedure for the deep sea mining industry. Through comparisons of the tailings disposal methods which exist in on-land mining and the coastal mining fields, a new tailings disposal proce...

Although copulas are used and defined for various infinite-dimensional objects (e.g., Gaussian processes Markov processes), there is no prevalent notion of a copula that unifies these concepts. We propose unified functional analytic framework, show how Sklar's theorem can be applied in certain examples Banach spaces provide semiparametric estimation procedure second-order stochastic with underl...