Strategic Management: Formulation, Implementation, and Control in a Dynamic Environment

2011 ◽  
Vol 25 (2) ◽  
Author(s):  
Abbass F. Alkhafaji
Keyword(s):  
Strategic Management ◽  
Dynamic Environment ◽  
And Control

Eine bibliometrische Analyse/PPC and machine learning A bibliometric analysis

2020 ◽  
Vol 110 (04) ◽  
pp. 220-225
Author(s):  
Matthias Schmidt ◽  
Janine Tatjana Maier ◽  
Mark Grothkopp
Keyword(s):  
Machine Learning ◽  
State Of The Art ◽  
Dynamic Environment ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Comprehensive Review ◽  
Planning And Control ◽  
Individual Task ◽  
The Individual ◽  
And Control

Produzierende Unternehmen stehen in einem dynamischen Umfeld vor der Herausforderung eine zunehmende Datenmenge effizienter zu verarbeiten. In diesem Zusammenhang werden häufig Ansätze des maschinellen Lernens (ML) diskutiert. Der Beitrag stellt eine umfassende Aufarbeitung des Stands der Forschung bezogen auf den Einsatz von ML-Ansätzen in der Produktionsplanung und -steuerung (PPS) bereit. Daraus lässt sich der Forschungsbedarf in den einzelnen Aufgabengebieten der PPS ableiten.   In a dynamic environment, manufacturing companies face the challenge of processing an increasing amount of data more efficiently. In this context, approaches of machine learning (ML) are often discussed. This paper provides a comprehensive review of the state of the art regarding the use of ML approaches in production planning and control (PPC). Based on this, the need for research in the individual task areas of PPC can be derived.

Problems of Strategic Management in the Education System

2020 ◽  
Vol 8 (6) ◽  
pp. 4-9
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Strategic Management ◽  
Education System ◽  
Quality Of Education ◽  
Highly Qualified ◽  
Higher Education System ◽  
Quality Of Higher Education ◽  
And Control

The paper put forward hypotheses that the conditions for the formation of human capital in the education system and the quality of education are decreasing, that the transition to a post-industrial economic system provides a priority demand and stimulation of the work of highly qualified specialists with higher education. To assess the hypotheses, an analysis carried out using Rosstat data on the structure of unemployment by education levels and on the level of wages of employed workers with different levels of education. The generalization of the results of the analysis made it possible to establish that the value of human capital formed in the education system, the quality of education is steadily decreasing. The human capital of workers, formed in the higher education system, is most in demand in modern conditions, but the quality of higher education, the value of the human capital formed in the process of obtaining it, is steadily decreasing. The reason for the decline in the quality of education is the administrative and control style of management used in the education system and the outdated form of strategic management based on the application of orders, standards and control, which, being inherited from the industrial economy and, as is known, is ineffective and ineffective. Competitive in modern conditions.

Petri Net Based Modeling and Control Strategies for Flexible Manufacturing Systems

2006 ◽  
Author(s):  
A. Abhishek ◽  
Manish Kumar ◽  
Devendra P. Garg
Keyword(s):  
Petri Net ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Control Strategies ◽  
Dynamic Environment ◽  
Online Data ◽  
Modeling And Control ◽  
Learning Capabilities ◽  
And Control

This paper presents comprehensive and unified strategies to model, analyze, and control flexible manufacturing systems (FMSs) in an uncertain and dynamic environment using Petri Net (PN) based modeling. The proposed methodology enables PN models to accept and assimilate online data at execution time. A measurement system consisting of distributed sensory sources suitable for manufacturing processes is designed and an interface is developed of that system with the modeling software (SHARPE) and MATLAB's Simulink to enable realtime data acquisition and processing. The proposed strategies enable online parameter estimation to impart adaptive and intelligent learning capabilities to PN models.

scholarly journals Evaluation and control process in higher education institutions: a comparative analysis

2019 ◽  
Vol 27 (3) ◽  
pp. 269-284
Author(s):  
Joaquim Mourato ◽  
Maria Teresa Patrício
Keyword(s):  
Higher Education ◽  
Performance Evaluation ◽  
Strategic Management ◽  
Performance Management ◽  
Binary Systems ◽  
Higher Education Institutions ◽  
Control Process ◽  
Content Type ◽  
Control Processes ◽  
And Control

Purpose The purpose of this paper is to study the evaluation and control processes in the governance systems of higher education institutions (HEIs). Design/methodology/approach This study compares the performance and control processes of strategic management in four HEIs in two European countries with binary systems – Portugal and The Netherlands. Using a case study approach, the authors find that HEIs with different missions and contexts have performance and control systems that are generally indistinguishable. Findings The controlling strategies in the public HEIs have taken on isomorphic characteristics based on processes that enhance competition, decentralize functions and solidify performance management. Originality/value In this paper, the authors “unpackage” strategic management to focus on the forms of control associated with performance evaluation. Performance evaluation is central to the management process and increasingly assuming an integral part of the institution’s identity and culture.

scholarly journals The effectiveness of the monitoring and control system in the agricultural enterprises management

2019 ◽  
pp. 58-62
Author(s):  
Iryna Havrylko
Keyword(s):  
Control System ◽  
Strategic Management ◽  
Economic Efficiency ◽  
Enterprise Management ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Information Base ◽  
Agricultural Enterprises ◽  
And Control ◽  
The Impact

Introduction. Due to the impact of the global financial crisis and the growth of competition in the international market, control in the enterprise management is becoming important. It provides feedback between the control and managed subsystems of the enterprise. The purpose of the research is to substantiate the effectiveness of the monitoring and control system in the agricultural enterprises management in an unstable economic environment. Results. It is established that the existing approaches to the agricultural enterprise management do not contribute to the effective implementation of monitoring and control. The number of problems in the process of agribusiness management were identified based on expert analysis. It is determined that the development of strategic management in the agricultural enterprises activities is hampered by the lack of use of appropriate monitoring and control tools. The guidelines of agrarian business entities are determined in accordance with the market concept of enterprise management. The coefficient analysis of capacity utilization and profitability of agricultural enterprises is carried out. The inconsistency of the existing approaches of agricultural enterprises management to the requirements of the market environment has been established. It is revealed that the imperfect organization of enterprise management contributes to the formation of an unstable information base of enterprise control. The operative orientation of control in the enterprise management of the agrarian sphere and neglect of strategic factors of success are determined. It is substantiated that the integration of economic monitoring and control tools in the management system contributes to the growth of enterprises economic efficiency. Conclusions. The formation of strategic goals of agricultural enterprises is based on the distorted implementation of the sustainable development concept. The presence of a significant number of factors is determined that inhibit the process of increasing the investment attractiveness level and economic efficiency of agricultural businesses. Keywords: monitoring, control, enterprise management, agrarian business entity, efficiency, strategic management, monitoring and control tools, information base.

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