CNC 콘트롤러는 일반적인 공작기계나 특수한 가공기계를 대상으로 위치제어와 속도제어를 하는 장치로서, 기계적인 가공방식은 기본적으로 전통적인 방식에서 고정도화, 고속화, 고생산성화를 추구하는 기술로 발전하고 있으나 이와같은 기술을 뒷받침하는 제어방법은 전자공업의 발전정도에 기반을 두고 있다. 사용자의 요구는 선진 외국제품에 대한 경험을 바탕으로 다양한 기능을 원하면서도 편이성과 단순성을 추구하고 있으며, 이와같은 시장구조하에서는 기술과 가격의 혁신을 전제로 하는 제품만이 생명력을 갖게 된다. 따라서 본 논고에서는 CNC Controller의 개발사양을 도출하여 기술적 접근 방법을 구하는 기법에 대하여 논하고자 한다.

In scheduling open-field type FMS, process planning of decision making between alternate machines is taken into consideration. This idea is validated via implementing two experimental systems; One is a knowledge-based system and the other is to solve a Constraint Satisfaction Problem. The former generates some promising schedules in view of improving machine utilization, makespan and meanflow time, and the latter does in view of meeting due date.

In this study, we propose an integrated CAD(Computer Aided Design) library database in a heterogeneous commercial ECAD(Electronic CAD) environment. To effectively solve engineering problems focused on BOM data extraction we use a software system called schematic capture and company-wide standard electronic part information loaded on different commercial ECADs. We unify many commercial ECADs into one schematic capture and a variety of PCB(Printed Circuit Board) design tools. For this purpose we develope a model for linking CAD symbol library with company-wide standard part information. We also develope a schematic design data conversion scheme and show how to extract PBA level BOM data using our customized schematic capture. This system is being operated in an X-Window based engineering work station and commercial RDBMS base.

In a recent article, Leon et al. lucidly explained the ideas of the Taguchi two-stage procedure for parameter design optimization, and proposed alternative performance measures called PerMIA to the signal-to-noise ratios. On the other hand, Box proposed an empirical approach to the problem based upon monotone transformations of the performance characteristic(y). This paper develops procedures for parameter design optimization under the assumptions that the expected loss(not necessarily a mean squared error loss) is increasing with respect to the variance of the error in y, and that the mean of y satisfies certain conditions of adjustability. It turns out that the variance of the error in y can play the role of PerMIA, and it is further shown that the derived PerMIA can be adapted to the Box empirical procedure for the minimization of the expected loss in the original metric.

Simulation is one of the most widely used techniques in operations research and management science, but there are several impediments to even wider acceptance and use of simulation. One of the more significant limitations is the dependence of simulation on statistical methodology. This research identifies eighteen different statistical issues in simulation methodology and develops an expert system which could through interactive dialog with simulation analysts offer advice on statistical approaches which might be used to deal with particular issues and to accomplish required statistical computations. This research revises the previous study published in Simulation by incorporating additional statistical issues in the expert system to enhance its performance in analyzing a given simulation problem with statistical methodologies. An overview of the revised system is given and illustrations of the capabilities of the system are presented.