scholarly journals Research on the Method of Reusing Injection Process Knowledge Based on CBR

2021 ◽  
Vol 2025 (1) ◽  
pp. 012086
Author(s):  
Haowei Chen ◽  
Hongfei Zhan ◽  
Rui Wang ◽  
Junhe Yu
Keyword(s):  
Process Knowledge ◽  
Knowledge Based ◽  
Injection Process

Research on Mining Method of Process Knowledge Based on Ontology

2013 ◽  
Vol 401-403 ◽  
pp. 1470-1473
Author(s):  
Chun Fen Guo ◽  
Li Chen Zhuang
Keyword(s):  
Association Rule ◽  
Partial Correlation ◽  
Apriori Algorithm ◽  
Mining Method ◽  
Process Knowledge ◽  
Concept Model ◽  
Knowledge Based ◽  
Mining Algorithm ◽  
Cross Linker ◽  
Correlation Process

Making use of hierarchical structure clearly of concept model of ontology , on the basis of Apriori algorithm and introducing cross linker method, an mining algorithm of process knowledge of association rule is proposed based on ontology. To verify the feasibility of the algorithm, partial correlation process knowledge is dicovered by this algorithm.

Development of a Knowledge Management System for the Automobile Industry Based on CAPP

2015 ◽  
Vol 775 ◽  
pp. 474-478
Author(s):  
Jia Kun Sun ◽  
Hui Hui Qiu ◽  
Chao Ying Yang
Keyword(s):  
Process Planning ◽  
Automobile Industry ◽  
Process Management ◽  
Process Knowledge ◽  
The Core ◽  
Knowledge Based ◽  
Whole Process ◽  
Task Modeling ◽  
Development Cycle ◽  
Planning Task

Process planning is the key sector for automobile industry enterprises to shorten product development cycle. By studying the expression method of process information and standardized description method of process knowledge based on MBD, the process knowledge base is established with the uniform representation model as the core, on this basis, the knowledge embedding method oriented to process planning task, modeling method of process planning wizard and process planning navigation technology is studied, the maintenance and application platform of the process knowledge for the automobile industry is established, and integrated with the existing CAPP system, to realize the whole-process management of processes knowledge, so as to provide the support for the optimization and improvement of the manufacturing process.

scholarly journals Formulasi sistematika knowledge-based engineering untuk penanganan permasalahan proses

2018 ◽  
Vol 7 (1) ◽  
pp. 743
Author(s):  
Surahmad W Widodo ◽  
Yazid Bindar ◽  
P Praharso
Keyword(s):  
Equilibrium Model ◽  
Cfd Simulation ◽  
System Model ◽  
Molar Ratio ◽  
Synthesis Process ◽  
Urea Synthesis ◽  
Heuristic Knowledge ◽  
Process Knowledge ◽  
Knowledge Based System ◽  
Knowledge Based

Urea plant is a petrochemical plant considered as one of strategic industries in Indonesia. Knowledge is important asset for the company that should be managed well in order to give the optimal profit. Without the adequate knowledge to operate the process plant, the process problems tend to be solved by trial-error effort in the field with unknown result and can cause the losses for the company. With the knowledge-based system, the knowledge can be stored, organized can be accessed again to solve the process problem and minimize the trial-error losses in this thesis knowledge-based system formulation for process problem solving in urea synthesis process unit done by study the heuristic knowledge, study the urea synthesis equilibrium model, study the urea tray reactor with CFD simulation and study of development of process knowledge-based system model. Urea reaction equilibrium model used can explain the impact of temperature, NH3/C02 molar ratio and H2O/C02 molar ratio to the urea conversion. Calculation results of conversion and reactor outlet composition show the agreement with the reactor data. Results of CFD simulation show that the new configuration of reactor tray give the better mixing effect of liquid and gas phase than the conventional tray. Heuristic knowledge based on the experience and the knowledge based on process model become the knowledge base for development of knowledge-based system model for process problem solving.Keywords: knowledge-based, process knowledge, heuristic, simulation, CFD, urea reactor AbstrakPabrik pupuk adalah pabrik petrokimia yang termasuk salah satu industri strategis nasional. Pengetahuan merupakan aset penting bagi perusahaan yang harus dikelola sebaik-baiknya agar memberikan manfaat dan keuntungan yang optimal. Tanpa pengetahuan yang cukup dalam mengoperasikan pabrik, maka masalah proses yang dihadapi cenderung diselesaikan dengan percobaan di lapangan yang hasilnya tidak pasti dan mengakibatkan kerugian bagi perusahaan. Dengan sistem berbasis pengetahuan, maka pengetahuan disimpan, terorganisasi dan dapat diakses kembali untuk menyelesaian masalah proses, serta tindakan coba-coba yang menghasi/kan kesalahan dapat diminimalkan. Dalam tesis ini formulasi sistem berbasis pengetahuan untuk penanganan permasalahan proses pada unit reaktor sintesis urea dilakukan dengan melakukan kajian pengetahuan heuristis, kajian model kesetimbangan reaksi sintesis urea, kajian simulasi CFD tray reaktor, serta kajian model pengembangan sistem berbasis pengetahuan proses. Model kesetimbangan yang digunakan dapat menjelaskan pengaruh suhu, rasio NH3/CO2 dan rasio H20/C02 terhadap konversi. Hasil perhitungan untuk konversi dan komposisi keluaran reaktor menunjukkan kesesuaian dengan data rancangan pabrik. Hasil kajian simulasi CFD menunjukkan bahwa dengan konjigurasi tray baru dihasilkan efek pencampuran fasa cair dan gas yang lebih baik daripada dengan tray konvensional. Pengetahuan heuristis dari pengalaman dan pengetahuan berdasarkan model proses menjadi basis pengetahuan yang dikembangkan sebagai model sistem berbasis pengetahuan untuk menyelesaikan masalah proses.Kata Kunci: basis pengetahuan, pengetahuan proses, pengetahuan heuristis, simulasi, CFD, reaktor urea

Incremental Cross-Generation Versioning in Decomposable Internet Software Products

2001 ◽  
pp. 220-242
Author(s):  
Amrit Tiwana
Keyword(s):  
Software Maintenance ◽  
Information Economics ◽  
The Internet ◽  
Process Knowledge ◽  
Software Products ◽  
Software Applications ◽  
Incremental Development ◽  
Knowledge Based ◽  
Support Software ◽  
Architectural Knowledge

The most important factor distinguishing firms is the possession of knowledge, and the core differentiating skill is the ability to deploy that knowledge to their competitive advantage (Scott, 1998). Products of the turbulent information industries (Mendelson and Kraemer, 1998), especially those facilitated by the Internet, show the hitherto unseen promise of increasing returns. The flexibility to survive in turbulent technological environments, however, can only be achieved if positive feedback is not suppressed (Hall, 1997). This chapter examines incremental development and maintenance of software products designed to be used, delivered, and maintained through the Internet. Complex software products often go through a process of iterative evolution across several rapidly delivered versions, and the opportunities for knowledge management and application that arise in the midst of their evolution are discussed. We describe how both development and maintenance/upgrading of Internet software must be addressed in ways extending beyond traditional methods used for “traditional” information systems maintenance. Drawing on a diverse theory base, including information economics, emergence theory, and knowledge-based innovation, characteristics of Internet-based software applications are described; linkages between application modularity and decomposability with process knowledge are first explored; feasibility of managing component knowledge and renewing architectural knowledge is discussed; and finally, a conceptual model for managing process knowledge across generations and versions of decomposable applications to support software maintenance and evolution is presented.

A Study on Effectiveness of Investment in Intellectual Capital of Indian Knowledge Companies

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Amitava Mondal ◽  
Santanu Kumar Ghosh
Keyword(s):  
Competitive Advantage ◽  
Intellectual Capital ◽  
Value Creation ◽  
Process Knowledge ◽  
Creation Process ◽  
Knowledge Based ◽  
Efficiency And Effectiveness ◽  
Monetary Assets ◽  
Value Creation Process

Intellectual capital (IC) is non-monetary assets or resources without physical substances which are underlying factors of a firms value creation process. Knowledge based companies mainly depend upon these type of assets for their value creation and competitive advantage. The present study makes an attempt to examine efficiency and effectiveness of investment in intellectual capital of 100 Indian knowledge companies during the period 2002 to 2011.

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