scholarly journals Towards Robust Early Stage Data Knowledge-based Inference Engine to Support Zero-defect Strategies in Manufacturing Environment

2017 ◽  
Vol 11 ◽  
pp. 679-685 ◽  
Author(s):  
T. Vafeiadis ◽  
D. Ioannidis ◽  
C. Ziazios ◽  
I.N. Metaxa ◽  
D. Tzovaras
Keyword(s):  
Early Stage ◽  
Inference Engine ◽  
Manufacturing Environment ◽  
Knowledge Based

Knowledge-Based Strategies and Systems

2011 ◽  
pp. 1-62 ◽  
Author(s):  
Meir Russ ◽  
J. Greg Jones ◽  
Jeannette K Jones
Keyword(s):  
Knowledge Management ◽  
Life Cycle ◽  
Early Stage ◽  
Management Strategies ◽  
Academic Research ◽  
Business Strategies ◽  
Knowledge Based Systems ◽  
Academic Literature ◽  
Knowledge Based ◽  
New Research

Knowledge management strategies and implementation of knowledge-based systems have gained importance over the last decade. However, many organizations are not able to develop “winning” knowledge-based strategies and others waste signifi- cant monies when the knowledge-based systems they invest in fail to produce the desired results. To address the challenges faced by these organizations, a recently developed framework for strategic dilemmas was proposed by Russ, Jones, and Fineman (2006) to aid in the development of knowledge-based (KB) strategies. The framework (C3EEP) identifies six dilemmas that organizations should balance when considering their knowledge management and business strategies. Examples of such dilemmas include the balance between concealment (secrecy) vs. transparency, complementary vs. destroying, and the balance between exploitation and exploration. The framework compliments the six stages in the life cycle of KB systems (KBS) as identified by the academic literature that discusses the development and implementation of KBS from the information systems (IS) perspective (e.g., Lytras, Pouloudi, & Poulymenakou, 2002; Nissen, Kamel, & Sengupta, 2000). This interaction/ linkage between KB strategies and systems is crucial for the success of both. Academic research supports the complex relationship between the two. However, there is no conclusive formula for managing this relationship to achieve success. The purpose of this study will be to identify crossovers between the two streams (strategy and systems) of research by using a systematic literature review. For example, is the academic literature focusing mostly on the learning aspect (late stage in the life cycle) of the exploration strategy while largely ignoring the discussion about attracting the appropriate knowledge (early stage in the life cycle) for this kind of strategy? Or does the academic literature focus on populating a KBS with appropriate complementary knowledge while largely ignoring the dynamics of the transfer of destroying knowledge (learning aspect)? The authors hope to accomplish three goals in this study: (1) to continue the validation of the two (C3EEP and KBS life cycle) frameworks; (2) to identify new research opportunities; and (3) to focus managerial attention on areas of importance in KB strategies and systems that lack depth of academic discussion.

INTEGRATION OF REAL-TIME CONTROL SIMULATION TO A VIRTUAL MANUFACTURING ENVIRONMENT

2002 ◽  
Vol 01 (01) ◽  
pp. 67-87 ◽  
Author(s):  
BYUNG-KWON MIN ◽  
ZHENGDONG HUANG ◽  
ZBIGNIEW J. PASEK ◽  
DEREK YIP-HOI ◽  
FORBES HUSTED ◽  
...  
Keyword(s):  
Machine Tool ◽  
Real Time ◽  
Machine Tools ◽  
Manufacturing Systems ◽  
Early Stage ◽  
Virtual Manufacturing ◽  
System Level ◽  
Manufacturing Environment ◽  
Manufacturing Environments ◽  
Virtual Manufacturing Environment

This paper presents a new integrated approach for simulation developed to improve the accuracy of virtual manufacturing environments. While machine tool simulation and virtual manufacturing for factory simulation have been frequently used in early stage plant development, each of these technique has been researched and implemented separately. This paper focuses on the utilization of real-time simulation of machine tools or active axes in manufacturing systems and integration of this simulation capability with virtual manufacturing environments. Machine-level simulation results are generated in real-time with a real machine tool controller and are fed to a virtual manufacturing environment. To integrate these two simulation techniques, system-level software is utilized as a communication platform. This system-level software was originally developed to control and configure whole manufacturing systems. The method has been successfully implemented within a testbed with full-scale machine tools. The results demonstrate that the proposed method advances the virtual manufacturing environments toward improved accuracy of factory level simulation, reduced effort for modeling and expanded functionality of machine-level simulations.

scholarly journals Purwarupa Sistem Pakar dengan Mamdani Product untuk Menentukan Menu Harian Penderita DM

2013 ◽  
Vol 7 (1) ◽  
pp. 45
Author(s):  
Nur Hasanah ◽  
Retantyo Wardoyo
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Inference Engine ◽  
Rule Based ◽  
Knowledge Based ◽  
Menu Planning ◽  
Model Complex ◽  
Uncertainty Method ◽  
Management Expert ◽  
Diabetes Melitus

AbstrakPada 2025 diperkirakan 12,4 juta orang yang mengidap Diabetes Melitus (DM) di Indonesia. Perencanaan makan merupakan salah satu pilar dalam pengelolaan DM. Sistem pakar dapat berfungsi sebagai konsultan yang memberi saran kepada pengguna sekaligus sebagai asisten bagi pakar. Logika fuzzy fleksibel, memiliki kemampuan dalam proses penalaran secara bahasa dan memodelkan fungsi-fungsi matematika yang kompleks. Penelitian ini bertujuan menerapkan metode ketidakpastian logika fuzzy pada purwarupa sistem pakar untuk menentukan menu harian. Manfaat penelitian ini adalah untuk mengetahui keakuratan mesin inferensi Mamdani Product.            Pendekatan basis pengetahuan yang digunakan pada sistem pakar ini adalah dengan Rule-Based Reasoning. Proses inferensi pada sistem pakar menggunakan logika fuzzy dengan mesin inferensi Mamdani Product. Fuzzifier yang digunakan adalah Singleton sedangkan defuzzifier yang digunakan adalah Rata-Rata Terpusat. Penggunaan kombinasi Singleton fuzzifier, mesin inferensi Product dan defuzzifier Rata-Rata Terpusat yang digunakan pada sistem pakar dapat diterapkan untuk domain permasalahan yang dibahas. Meskipun demikian, terdapat kemungkinan Singleton fuzzifier tidak dapat memicu beberapa atau semua aturan. Jika semua aturan tidak dapat dipicu maka tidak dapat disimpulkan kebutuhan kalori hariannya. Kata kunci— sistem pakar, logika fuzzy, mamdani product, diabetes, menu  AbstractIt is predicted that 12.4 million people will suffer from Diabetes Mellitus (DM) in Indonesia in 2025. Menu planning is one of the important aspects in DM management. Expert system can be used as a consultant that gives suggestion to users as well as an assistant for experts. Fuzzy logic is flexible, has the ability in linguistic reasoning and can model complex mathemathical functions. This research aims to implement fuzzy logic uncertainty method into expert sistem prototype to determine diabetic daily menu. The advantage is to find out the accuracy of Mamdani Product inference engine. The knowledge-based approach in this expert system uses Rule-Based Reasoning. The inference process employs fuzzy logic making use of Mamdani Product inference engine. The fuzzifier used is Singleton while defuzzifier is Center Average.            The combination of Singleton fuzzifier, Mamdani Product inference engine and Center Average defuzzifier that is used can be applied in the domain of the problem under discussion. In spite of the case, there is possibility that Singleton fuzzifier can’t trigger some or all of the rules. If all of the rules can’t be triggered then the diabetic daily menu can’t be concluded. Keyword— expert system, fuzzy logic, mamdani product, diabetes, menu

scholarly journals Expert System of Anti-Diabetic Medicine Selection

2021 ◽  
Vol 5 (2) ◽  
pp. 175-182
Author(s):  
Andi Hutami Endang
Keyword(s):  
Expert System ◽  
World Health Organization ◽  
Early Stage ◽  
Domain Ontology ◽  
World Health ◽  
Diabetic Medicine ◽  
Knowledge Based ◽  
Health Organization

The Prediction of World Health Organization (WHO) estimates that in 2030 the number of diabetics in Indonesia reached approximately 21.3 million people. Moreover, the development of medicine consumed by diabetics also varies. In this paper, we present a system that represents a diabetes expert into a knowledge based on the domain ontology. The early stage of the system is developing drugs ontology (including functions and contraindications) and patient ontology. Then, matching a weighted ontology will give drugs recommendations that are suitable with the patient's condition. The system is able to analyze diabetes symptoms to give drugs recommendations to the patient.

scholarly journals TPACK of Prospective Mathematics Teachers at an Early Stage of Training

2021 ◽  
Author(s):  
Yuri Morales-López ◽  
Yerlin Chacón-Camacho ◽  
Wilbert Vargas-Delgado
Keyword(s):  
Mathematics Teachers ◽  
Current Knowledge ◽  
Early Stage ◽  
Quadratic Function ◽  
Initial Training ◽  
First Semester ◽  
Knowledge Based ◽  
Theoretical Inquiry ◽  
The Subject ◽  
Forms Of Knowledge

The objective of this work is to present the results of an investigation on the technological, pedagogical and content knowledge evidenced by mathematics teachers in the second-level of initial training (preservice) at the Universidad Nacional, from the TPACK model perspective, on the subject of functions. The research has a qualitative approach with an interpretive hermeneutical stance. A sample of 27 teachers in training who were enrolled in courses related to the three base domains of the TPACK model (pedagogical, technological and content of quadratic function) during the first semester (I cycle) of 2020 was used. A theoretical inquiry was carried out that allowed the creation of an instrument that made possible the description of the participants’ knowledge based on this model focused on the topic of quadratic function. The results show that participants possess instrumental dominance over the basic forms of knowledge underlying the model. It is concluded that, although participants have already experimented in courses related to these forms of knowledge, there is insufficient evidence to ascertain that their current knowledge would allow them to integrate technologies as a didactic resource within the teaching of the subject of quadratic function.

Application of a Computer Based System for Statistical Process Control in a Semiconductor Company : A Case Study

2012 ◽  
Vol 59 (2) ◽  
Author(s):  
Nor Kamaliana Khamis ◽  
Baba Md Deros ◽  
Nizaroyani Saibani ◽  
Syamsinar Baizura Ahmad Sabki
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Semiconductor Manufacturing ◽  
Human Error ◽  
Early Stage ◽  
Manufacturing Environment ◽  
Statistical Process ◽  
Computer Based ◽  
Recent Trends

The use of Statistical Process Control (SPC) in the manufacturing process has been historically proven to increase the quality of the product. Recent trends show that companies are becoming increasingly reliant on computer based-SPC because it can save a significant amount of time compared with traditional SPC. In addition, labor-intensive tasks, such as manual data collection and entry, can be eliminated, thus reducing human error. This paper aims to prove the benefits of computer based system for SPC known as e-SPC in a semiconductor manufacturing environment. Specifically, this paper will present the case study‟s finding that show how one semiconductor manufacturing company‟s use of e-SPC can detect a process abnormality at an early stage and in real time compared with manual SPC. The case study involves interviews with the company representatives and observations on the manufacturing environment. This paper will also show how e-SPC can be used to control and then to stabilize the manufacturing operation. In conclusion, this paper demonstrates that e-SPC can significantly improve the performance of a manufacturing environment. Moreover, this paper can also be used as a reference for the implementation of e-SPC in any company.

scholarly journals The Role of Knowledge-based Consumption in the Consumers’ Purchase Decisions of Heating Products

2018 ◽  
Vol 26 (2) ◽  
pp. 137-148 ◽  
Author(s):  
Noémi Munkácsi
Keyword(s):  
Information Search ◽  
Personal Experience ◽  
Early Stage ◽  
The Internet ◽  
Final Decision ◽  
Exploratory Research ◽  
Knowledge Based ◽  
Purchase Process ◽  
Credible Information

The increasing role of the Internet enables the spread of knowledge-based consumption; consumers are turning to their social environment to exchange information and experiences with products either through personal contacts or by contacting others on the Internet. Several former studies analyzed the influencing role of experience-based communication on a variety of products but in the case of heating appliances the scientific literature is lacking. The goal of the study is to reveal the influence of experience in the various stages of the purchase process and to identify the credible information sources that consumers consult while making a decision. A two-step exploratory research was conducted in 2013 with homeowners in Hungary on the residential heat market. Consumers were found be active decision-makers and deliberately planned the purchase of heating products. The influencing role of experience prevails not only in the consumers’ personal experience but also in the experience of other users they interact with and in the experience of professionals they consult. Personal experience starts at the early age as respondents’ recall childhood memories with heating, which influences the consumers’ expectations in the early stage of the purchase process. The experience of other users prevails along the whole purchase process through credible sources and the experience of professionals influences mainly the information search and validation phase of the purchase process. Consumers consult other users (strong and weak social sources) personally or via online sources by the final decision rather than turning to the installer.

Achieving and Sustaining New Knowledge Development in High-Expectation Start-ups

2010 ◽  
Vol 24 (1) ◽  
pp. 47-53
Author(s):  
Diego Matricano
Keyword(s):  
Competitive Advantage ◽  
Early Stage ◽  
High Growth ◽  
Knowledge Development ◽  
High Expectation ◽  
Knowledge Based ◽  
Start Up ◽  
New Knowledge ◽  
Start Ups

In markets characterized by strong competition, new knowledge and new knowledge development are generally recognized as the key means for an enterprise to gain competitive advantage. This knowledge-based competitive advantage is critical for all commercial ventures, but is especially so for high-expectation start-ups (technology-based ventures anticipating high growth rates). Even though the organizational processes of a start-up are still under development, the success of new knowledge development is affected by three critical factors – the structure of the enterprise, the organizational technology and the knowledge promoters. An analysis of these factors suggests that the role of the knowledge promoter is the key determinant of knowledge development success in the case of early-stage high-expectation start-ups.

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