Integrating expert systems and neural networks for on-line statistical process control

SIGLEAvailable from British Library Document Supply Centre-DSC:DX191311 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

A methodology to measure the degree of managerial innovation

<p><strong>Purpose:</strong> The main objective of this study is to introduce the concept of managerial innovation and to propose a quantitative methodology to measure the degree of managerial innovation capability by analyzing the evolution of the techniques used for management functions.</p><p><strong>Design/methodology/approach</strong>: The methodology mainly focuses on the different techniques used for each management functions namely; Planning, Organizing, Leading, Controlling and Coordinating. These functions are studied and the different techniques used for them are listed. Since the techniques used for these management functions evolve in time due to technological and social changes, a methodology is required to measure the degree of managerial innovation capability. This competency is measured through an analysis performed to point out which techniques used for each of these functions.</p><p><strong>Findings:</strong> To check the validity and applicability of this methodology, it is implemented to a manufacturing company. Depending on the results of the implementation, enhancements are suggested to the company for each function to survive in the changing managerial conditions</p><p><strong>Research limitations/implications:</strong> The primary limitation of this study is the implementation area. Although the study is implemented in just a single manufacturing company, it is welcomed to apply the same methodology to measure the managerial innovation capabilities of other manufacturing companies. Moreover, the model is ready to be adapted to different sectors although it is mainly prepared for manufacturing sector.</p><p><strong>Originality/value:</strong> Although innovation management is widely studied, managerial innovation is a new concept and introduced to measure the capability to challenge the changes occur in managerial functions. As a brief this methodology aims to be a pioneer in the field of managerial innovation regarding the evolution of management functions. Therefore it is expected to lead more studies to inspect the progress of change throughout the history and the future trends.</p

Bees Algorithm for multi-mode, resource-constrained project scheduling in molding industry

In a resource-constrained environment project planning and scheduling becomes an extremely complex problem. For real life project schedules multi-mode resource requirements remarkably increase the complexity of and enlarge the respective solution spaces. Therefore schedulers require systematic methodologies compatible with the real world implementations in order to generate cost effective schedules. Similarly, plastic injection molding is known to be a make-to order process. The manufacturing of the mold which is a unique and essential component of plastic injection is considered kind of a project. The aim of this study is set to investigate the possibility of utilizing Bees Algorithm for single-resource, multi-mode, resource-constrained mold project scheduling in order to generate a systematic approach to solve the problems of this nature. A Bee-Based Mold Scheduling Model is therefore proposed and employed on a set of problems with different dimensions for the proof of concept. Detail description of an injection molding project together with respective performance analysis is also provided. After the implementation of the proposed methodology, it is well proven that, even for high number of activities and limited resources, the proposed method generates suitable schedules for the projects of this kind the implementation and respective modelling is explained and the results are discussed in detail within the text. (C) 2017 Elsevier Ltd. All rights reserved

Enterprise knowledge management model (EKMM) in strategic enterprise resource management (SERM)

AbstractCreating knowledge intensive systems seems to be inevitable in modern enterprises. More autonomous systems would be dominating nearly all aspects of the organization from management to production, from marketing to supplier management. Since required autonomy can only be assured through effective automated knowledge management systems including agent based approaches, it is advisable to employ integrated information systems such as SERM (Strategic Enterprise Resource Management) together with active knowledge management models such as EKMM (Enterprise Knowledge Management Model) as well respective supporting systems in order to be intelligent enough in own operations. This study will highlight possible benefits and advantageous in creating SERM supported by EKMM in an integrated manner. SERM is capable of handling corporate level strategic planning, traditional ERP systems, technology management, CRM as well as performance monitoring. EKMM on the other hand is designed to handle the corporate knowledge in a systematic ways in order to assure that the right knowledge becomes available to the right person at the right time