Applying Knowledge Management To Optimize Build To Order Process In Manufacturing And Service Companies
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Applying Knowledge Management to Build-to-Order Processes in Manufacturing and Service Companies
Author: Thomas Zachariah
language: en
Publisher: Anchor Academic Publishing
Release Date: 2017-03
Knowledge management differs from expert systems as the latter is more attuned to integrating all available sources of data, information and knowledge into a single, unified system of record. Furthermore, the capturing of tacit and explicit knowledge and its use in streamlining business processes differentiates knowledge management systems from expert systems. The purpose of this study is defining the practical, pragmatic and replicable approaches to knowledge management as it relates to the build-to-order and mass customization strategies of manufacturing and services companies in the United States. The overall research question guiding this study is: How is knowledge management being used today to streamline and make more efficient service strategies of manufacturing and services companies? The research is descriptive and empirical in nature because the primary data were collected using the survey method through fact finding technique such as a questionnaire. The results show the integration of increasing role-based knowledge management in the workflow of a company. From this study, a knowledge sharing maturity model is derived, which illustrates how the level and extent of the exploitation of knowledge in build-to-order and quote-to-order strategies have a long-term impact on the financial performance. Based on these findings, a causal relationship emerges from how a company manages its knowledge in the build-to-order and quote-to-order strategy based on these findings, and they align well to a multi-stage maturity model as a result. One of the main objectives of the study is to determine how the customer churn rate can be reduced. By optimizing business processes, companies can improve increase customer satisfaction while reducing the Days Sales Outstanding levels over time.
Applying Knowledge Management to Optimize Build-to-Order Process in Manufacturing and Service Companies
Knowledge management differs from expert systems as the latter are more attuned to integrating all available sources of data, information, and knowledge into a single, unified system of record. Capturing tacit and explicit knowledge and its use in streamlining business processes is also what differentiates knowledge management systems from expert systems. The purpose of this study is to define practical, pragmatic, and replicable approaches to knowledge management as it relates to the build-to-order and mass-customization strategies of manufacturing and services companies in the United States. The overall research question guiding this study is: How is knowledge management being used today to streamline and make more efficient the service strategies of manufacturing and services companies? The research is descriptive and empirical in nature because the primary data were collected using the survey method, through fact-finding techniques such as a questionnaire. The results show the integration of increasing role-based knowledge management in the workflow of a company. Knowledge management accelerates the exchange of aligned cost reduction to IT strategies for the use of knowledge to create a greater financial value. In this study, it was found that the degree of maturity of the company in the transition from cost-reduction strategies on the use of knowledge fails with respect to competitive strength. From this study, a knowledge-sharing maturity model is derived, which illustrates how the level and extent of knowledge exploitation in build-to-order and quote-to-order strategies have a long-term impact on financial performance. From these findings on how a company manages its knowledge in its build-to-order and quote-to-order strategy, a causal relationship emerges, which aligns well with a multi-stage maturity model. One of the main objectives of the study is to determine how the customer churn rate can be reduced. By optimizing business processes, companies can increase customer satisfaction while reducing the Days Sales Outstanding levels over time. A better alignment of processes with customer requirements would help to achieve higher margins.
Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management
PROLAMAT (PROgraming LAnguages for MAchine Tools) is a series of international conferences devoted to the filed of manufacturing - 1969 Roma, Italy; 1973, Budapest, Hungary; 1976, Stirling, Scotland; 1979 Ann Arbor, USA; 1982 Leningrad, USSR; 1992 Tokyo, Japan; 1995 Berlin, Germany; 1998, Trento, Italy; 2001, Budapest, Hungary; - organized by IFIP the International Federation for Information Processing. This triennial event has been a basic meeting for academic and industrial experts in manufacturing. Recently not only the original topics, but all other aspects of the computerized design and production of products and production systems from traditional to virtual ones have been covered and dealt with, including life-cycle issues. This volume contains the edited version of the technical presentations of PROLMAT 2006, the IFIP TC5 international conference held on June 15-17, 2006 at the Shanghai University in China. The main theme of this conference is "Knowledge Enterprise". These proceedings focus on the issue of how to translate data and information into knowledge in manufacturing enterprises. Profitability is no longer only a function of price, cost, and adequate quality.