Printed Circuit Board Assemble Process Decision-Making System Based on Knowledge

2010 ◽  
Vol 37-38 ◽  
pp. 899-904
Author(s):  
Xian Guang Kong ◽  
Yong Xiang Wang ◽  
Bin Qiang Ma
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Process Planning ◽  
Printed Circuit Board ◽  
Circuit Board ◽  
Decision Making System ◽  
Technological Tool ◽  
Preparation Work ◽  
Process Characteristic ◽  
Process Decision

Now, the prophase preparation work of PCA process planning takes longer time, and it is prone to errors and lacks of through consideration and optimization. In addition, PCA process planning does not retain abundant knowledge and experience by good technological tool and means. This situation has no longer been suitable for the current development speed of PCA product. The purpose of this paper is to satisfy with efficient PCA process planning by using expert system technology with PCA process characteristic. A PCA process design-making expert system based on knowledge is designed and developed. This paper also shows system work-flow, knowledge management and process decision-making flow in detail.

A System to Understand Human-Machine Function Allocation Issues in Visual Inspection

2000 ◽  
Vol 44 (12) ◽  
pp. 2-487-2-490
Author(s):  
X. Jiang ◽  
J. Bingham ◽  
R. Master ◽  
A. K. Gramopadhye ◽  
B. J. Melloy
Keyword(s):  
Decision Making ◽  
Visual Inspection ◽  
Printed Circuit Board ◽  
Circuit Board ◽  
Sampling Inspection ◽  
Function Allocation ◽  
Inspection Systems ◽  
Cognitive Activities ◽  
And Function ◽  
Inspection Task

Product inspection is an important step in ensuring product quality with one of its most important tasks being visual inspection. If an inspection is to be successful, it is critical that the various functions constituting an inspection task be performed optimally. An inspection task typically consists of the following functions: orientation, search, decision-making, and recording. Orientation and recording, essentially manual activities, are best automated. The search and decision-making functions, however, are essentially cognitive activities and have been shown to be the most important determinants of inspection performance that system designers need guidance in allocating. With the customer demand for zero defects in products, 100% inspection using automated systems has seen more frequent application than traditional sampling inspection using human inspectors. Despite the advantages of automation, these inspection systems often fail to meet expectations primarily because they ignore humans' ability in pattern recognition, as rational decision-makers and their flexibility to adapt to new situations. Thus, designers of systems which include an inspection component need guidance on human/machine function allocation to ensure that the inspection is performed at the very least adequately and, preferably, effectively and efficiently. In response to this need, this paper describes a system that will facilitate the conducting of controlled studies to address issues related to human machine system design and function allocation in visual inspection. The system simulates the search and decision making functions of a Printed Circuit Board (PCB) inspection task. The system can operate in three separate modes: (1) human inspection mode – where all the functions are performed by the human, (2) automated inspection mode - where all the functions are performed by the computer and the role of the human is that of a supervisor, and (3) hybrid inspection mode – where inspection functions can be allocated to the human, the machine or both.

scholarly journals FUZZY CONTROL OF PARTNERING RELATIONS OF A CONSTRUCTION ENTERPRISE / STATYBOS ĮMONĖS PARTNERYSTĖS SANTYKIŲ NEAPIBREŽTUMO KONTROLĖ

2011 ◽  
Vol 17 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Elžbieta Radziszewska-Zielina
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Fuzzy Control ◽  
Fuzzy Model ◽  
Construction Enterprise ◽  
Parameter Identifying ◽  
Input Parameters ◽  
Decision Making System

The author has elaborated an expert system to control partnering relations with a construction enterprise. The expert system is based on Mamdani fuzzy model. The purpose of the system is to improve the indices of assessing a construction enterprise by raising the level of partnering relations with other transactors in industry. The system indicates a recommendation supporting a decision-making system of any given construction enterprise and stating whether relations are to be preserved, changed or changed immediately to each of the fourteen relation parameters and for each of four transactors of enterprise's microenvironment. For every relation parameter, this decision is taken by the expert system with reference to the significance and assessment of this parameter identifying its influence on the success of a construction enterprise. Another task of the expert system is to select one parameter for each transactor which needs to be changed first. The process of choosing the parameter to be changed first for a given transactor is based on all input parameters. Santrauka Autorė sukūrė ekspertinę sistemą, padedančią kontroliuoti partnerystės santykius statybos įmonėje. Ekspertinė sistema pagrįsta Mamdani neapibrėžtumo modeliu. Šios sistemos tikslas—pagerinti statybos įmonės rodiklius keliant partnerystės santykių su kitais pramonės dalyviais lygį. Sprendimų paramos sistema, kuri gali būti taikoma bet kurioje statybos įmonėje, teikia rekomendacijas ir nurodo, ar partnerystės santykiai su kiekvienu iš keturių įmonės mikroaplinkos dalyvių turi būti išsaugoti, ar pakeisti, ar skubiai pakeisti, atsižvelgiant į kiekvieną iš keturiolikos santykius apibrėžiančių parametrų. Ekspertinė sistema priima sprendimus pagal kiekvieną santykius apibrėžiantį parametrą, atsižvelgiant į parametro reikšmingumą statybos įmonės veiklos sėkmei. Kitas ekspertinės sistemos uždavinys—parinkti kiekvienam dalyviui po vieną santykius apibrėžiantį parametrą, kuris turi būti pakeistas pirmiausia. Parametras, kuris turi būti pakeistas pirmiausia tam tikram dalyviui yra parenkamas atsižvelgiant į visus įvesties parametrus.

XDSAPP2.0

2016 ◽  
Vol 49 (3) ◽  
pp. 1085-1092 ◽  
Author(s):  
Karine M. Sparta ◽  
Michael Krug ◽  
Udo Heinemann ◽  
Uwe Mueller ◽  
Manfred S. Weiss
Keyword(s):  
Decision Making ◽  
User Interface ◽  
Expert System ◽  
Graphical User Interface ◽  
Decision Making System ◽  
Automated Processing

XDSAPPis an expert system and graphical user interface (GUI) for the automated processing of diffraction images using theXDSprogram suite and other programs. The latest major update and the extension of the program are presented here. The update includes new features, as well as improvements in the GUI and the underlying decision-making system.XDSAPPis freely available for academic users.

scholarly journals System Modelling and Decision Making System Based on Fuzzy Expert System

2017 ◽  
Vol 3 (2) ◽  
pp. 118-122
Author(s):  
Radim Farana ◽  
Ivo Formánek ◽  
Cyril Klimeš ◽  
Bogdan Walek
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Fuzzy Expert System ◽  
System Modelling ◽  
Decision Making System
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