scholarly journals A Statistical Model for Determination of the Type of Knowledge Management Approach Based on Organization Processes

2016 ◽  
Vol 40 (3) ◽  
pp. 43-56
Author(s):  
Farnoosh Bagheri ◽  
Rassoul Noorossana
Keyword(s):  
Knowledge Management ◽  
Statistical Model ◽  
Management Approach

STATISTICAL MODEL FOR DETERMINATION OF PROBABILITY OF LIGHTNING STROKES TO GROUND OBJECTS

2016 ◽  
Vol 2016 (2) ◽  
pp. 11-18 ◽  
Author(s):  
E.I. Sokol ◽  
◽  
М.М. Rezinkina ◽  
О.L. Rezinkin ◽  
O.G. Gryb ◽  
...  
Keyword(s):  
Statistical Model

Preparation of graft copolymers by the reaction of polymeric acyl chlorides with monohydroxy-terminated polymers: An introductory study

1988 ◽  
Vol 53 (8) ◽  
pp. 1735-1744 ◽  
Author(s):  
Jitka Horská ◽  
Jaroslav Stejskal ◽  
Pavel Kratochvíl ◽  
Aubrey D. Jenkins ◽  
Eugenia Tsartolia ◽  
...  
Keyword(s):  
Light Scattering ◽  
Chemical Composition ◽  
Statistical Model ◽  
Graft Copolymers ◽  
Coupling Reaction ◽  
Molecular Characteristics ◽  
Gel Formation ◽  
Acyl Chlorides ◽  
Molecular Weights

An attempt was made to prepare well-defined graft copolymers by the coupling reaction between acyl chloride groups located along the backbone chain and monohydroxy-terminated grafts prepared separately. The molecular weights and the parameters of heterogeneity in chemical composition of the products were determined by light scattering and osmometry. The determination of molecular characteristics revealed that the degree of grafting was low. The results therefore could not be confronted with a statistical model at this stage. The problems encountered in the synthesis, e.g., gel formation, and the data relating to the soluble products are discussed.

Knowledge management implementation in Indian automobile ancillary industries

2016 ◽  
Vol 11 (3) ◽  
pp. 802-810 ◽  
Author(s):  
Nitin Yashwant Patil ◽  
Ravi M. Warkhedkar
Keyword(s):  
Knowledge Management ◽  
Industrial Area ◽  
Total Quality ◽  
Limited Data ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Relationship Of ◽  
Power And Dependence ◽  
The Relationship

Purpose In the past decade, much has been written about knowledge management (KM) in the manufacturing; however, less attention has been paid to the Indian automobile ancillary industries located in Chinchwad, Pune. It is suitable to find out the relationship of the factors of the study. It helps in identifying the hierarchy of factors to be taken, and interlinking of production department with KM improves the productivity of the industries. Categorization of these principles based on their driving power (principles which hold other principles) and dependence (principles which are dependent on other principles) has also been examined for KM implementation to study the driving power and dependence power of these principles. This paper aims to determine the roadmap of KM implementation and categorize KM principles based on their driving power for manufacturing industries with the use of the interpretive structural modeling (ISM)-based model. The results indicate that the principles possessing higher driving power, such as KM, inventory control, quality control, productivity and scheduling and their interlinking. The major contribution of this research lies in the development of contextual relationship among various identified factors of KM and determination of their driving and dependence power through a single systemic framework. Design/methodology/approach In this paper, author find out the suitability ISM for Indian Automobile industries to find the relation among the variables. Findings ISM model has been developed for the hierarchy of the identified KM. As ISM model results a hypothetical hierarchy which needs a proper quantitative analysis to evaluate their percentage effectiveness in the hierarchy. Research limitations/implications It is applied to automobile industries with limited number of variables that will show the dependence variable and driving variables and their interrelations. It can be applied other fields to fine the relationship of variables. Practical implications The ISM may be used in supply chain management and total quality management to find interlinking between the variables. Originality/value The limited data collected from Pimpri Chinchwad industrial area of Pune from Maharashtra state (India).

scholarly journals Indikator Proses Utama pada Proses Grinding dengan Pendekatan Manajemen Pengetahuan

2016 ◽  
Vol 13 (2) ◽  
pp. 743
Author(s):  
Ikhwan Arief ◽  
Alfajri Nalda
Keyword(s):  
Knowledge Management ◽  
Grinding Wheel ◽  
Management Approach ◽  
Grinding Process ◽  
Process Indicators ◽  
Dressing Tool ◽  
Key Indicators

This study discusses aboutkey process indicators in grinding with the knowledge management approach. Common/key indicators used in the machine are workpiece, grinding wheel, dressing tool and coolant. The resulting key processeswill benefit firms and their operators especially new ones in managing scienceson grinding process that will allow knowledge transferred to new operators quickly. Process indicators are described with IDEF0 diagrams which will define the inputs, outputs, mechanisms and controls.Keywords: Knowledge Management, Grinding, IDEF0AbstrakPenelitian ini membahas tentang indikator proses utama pada proses grinding/gerinda dengan pendekatan manajemen pengetahuan. Indikator umum yang dipakai yaitu mesin, benda kerja, grinding wheel, dressing tool dan coolant. Hasil ini akan bermanfaat untuk membantu perusahaan dalam mengelola ilmu pengetahuan pada proses grinding sehingga akan memudahkan pewarisan ilmu pengetahuan kepada operator baru dari operator senior. Indikator proses digambarkan dengan IDEF0 yang memperlihatkan masukan, luaran, mekanisme dan kontrol pada proses.Kata kunci: Manajemen Pengetahuan, Grinding, IDEF0

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