New solutions for the complex decisional issues are required, including the use of the information technology. Based on applying modern methods of making the decision, it is expected that the results achieved in Romania’s industry lead to maximize the profit. This is a new approach regarding the development of information systems for decision making, highlighting new ways of implementation of the decision algorithms.
Table of Contents
INTRODUCTION
INFORMATION SYSTEMS, DECISION SUPPORT SYSTEMS
DATA BASE CONCERNING THE COSTING MANAGEMENT
MODELLING AND OPTIMISATION THE DECISIONS
SYSTEMS TO ASSISTANCE OF DECISION TO SUPPORT A COMPANY'S INVESTMENT POLICY
QUALITY DECISION-MAKING THROUGH THE SYSTEMS RELIABILITY
DATA PROCESSING BY MATHEMATICAL MODELS TO SUPPORT THE DECISION ADOPTION
A SIAD ACHIEVEMENT BASED ON THE COLLECTION OF THE INDUSTRY COSTS
MULTI-CRITERIA ANALYSIS THROUGH THE ELECTRE METHOD
ADOPTING THE DECISION USING THE DECISIONAL TREE METHOD
THE MODERN MANAGEMENT TOOLS - MEETING
MANAGEMENT TOOLS TO SUPPORT ADOPTING THE DECISION ON THE COSTS - VALUE ANALYSIS
THE IMPACT OF MANAGEMENT COMMUNICATION ON THE DECISIONS TO INCREASE THE PERFORMANCE OF AN ORGANIZATION
COMPUTERIZED SIMULATION TECHNOLOGICAL SYSTEMS
Research Objectives and Core Themes
The work investigates the integration of modern information systems, mathematical modeling, and management communication to enhance decision-making processes in industrial environments, with a specific focus on Romanian industry. The research aims to improve organizational performance by optimizing costs, reliability, and communication effectiveness.
- Application of information systems and databases for cost management and decision support.
- Use of mathematical models and simulation techniques to optimize manufacturing and investment decisions.
- Implementation of multi-criteria analysis (ELECTRE) and decisional tree methods for complex scenarios.
- Evaluation of management communication styles and meetings as key factors in organizational productivity.
Excerpt from the Book
INFORMATION SYSTEMS, DECISION SUPPORT SYSTEMS
In the market economy, when the relationship of the product-market - competition becomes more and more complex, the task of the deciders is increasingly difficult. A modern organization must have a management style based on the flexibility, dynamism and foresight.
In conditions of diversifying of the current economic-social environment, adopting the decision involves not only the call to inspiration, talent or luck, but also to use the scientific methods to approach and resolve the leading process dilemmas of the economic systems.
The problem of the decision-making is the activities difficulty of the collecting, processing and selection of the organization information, in general. The relevant integrated information into the decision-making is an important resource for an organization, when there is quality and obtained and used it in a right time. The decisions-making, therefore, is based on the complex, operational and quality information.
Summary of Chapters
INTRODUCTION: Outlines the necessity of modern information systems and intelligent technologies to navigate the complexities of knowledge-based organizations and industrial globalization.
INFORMATION SYSTEMS, DECISION SUPPORT SYSTEMS: Explores the role of information as a critical resource and defines the structural components required for an effective management information system.
DATA BASE CONCERNING THE COSTING MANAGEMENT: Discusses the projection and implementation of databases to enhance competitive advantages and manage business costs efficiently.
MODELLING AND OPTIMISATION THE DECISIONS: Details the scientific approach to decision-making, moving from intuition-based methods to structured modeling and optimization.
SYSTEMS TO ASSISTANCE OF DECISION TO SUPPORT A COMPANY'S INVESTMENT POLICY: Examines profitability analysis and the integration of financial accounting systems to support strategic investment decisions.
QUALITY DECISION-MAKING THROUGH THE SYSTEMS RELIABILITY: Analyzes the correlation between technological system reliability and economic performance in the context of sustainable development.
DATA PROCESSING BY MATHEMATICAL MODELS TO SUPPORT THE DECISION ADOPTION: Introduces mathematical modeling techniques, including simulation and optimization, to assist in complex decision-making processes.
A SIAD ACHIEVEMENT BASED ON THE COLLECTION OF THE INDUSTRY COSTS: Details the creation of a Decision Support System (SIAD) focused on collecting and tracking industry-specific costs.
MULTI-CRITERIA ANALYSIS THROUGH THE ELECTRE METHOD: Explains the application of the ELECTRE method to resolve multi-criteria optimization problems in industrial selection scenarios.
ADOPTING THE DECISION USING THE DECISIONAL TREE METHOD: Demonstrates the use of decision trees to evaluate probabilistic scenarios and optimize strategic choices in manufacturing.
THE MODERN MANAGEMENT TOOLS - MEETING: Investigates the effectiveness of meetings as a management tool and analyzes participant feedback on their utility and substance.
MANAGEMENT TOOLS TO SUPPORT ADOPTING THE DECISION ON THE COSTS - VALUE ANALYSIS: Explores value analysis and value engineering as systematic methods to optimize product costs and functions.
THE IMPACT OF MANAGEMENT COMMUNICATION ON THE DECISIONS TO INCREASE THE PERFORMANCE OF AN ORGANIZATION: Analyzes how various managerial communication styles directly influence employee productivity and organizational climate.
COMPUTERIZED SIMULATION TECHNOLOGICAL SYSTEMS: Reviews the application of CAD and CAE simulation techniques to optimize the design, reliability, and cost-efficiency of manufacturing tools.
Keywords
Decision making, Information systems, Industrial management, Mathematical modeling, Costing management, Multi-criteria analysis, ELECTRE, Decisional trees, Value analysis, Management communication, Organizational performance, Technological simulation, CAD/CAE, System reliability, Decision support systems.
Frequently Asked Questions
What is the primary focus of this work?
The book focuses on enhancing decision-making in industrial organizations through the use of integrated information systems, mathematical models, and effective management communication.
What are the key thematic areas covered?
The main themes include cost management, decision support systems (SIAD), optimization techniques, multi-criteria decision-making, meeting management, and the impact of leadership communication.
What is the central research goal?
The primary goal is to provide scientific methods and tools that allow managers to improve performance, increase profitability, and make more rational decisions in complex, changing environments.
Which scientific methods are primarily utilized?
The work employs quantitative methods such as multi-criteria analysis (ELECTRE), decisional tree modeling, mathematical optimization, statistical data analysis, and qualitative surveys for management assessment.
What topics are discussed in the main chapters?
The chapters cover a broad spectrum from the theoretical foundations of information systems and databases to practical applications like manufacturing cost optimization, investment policy support, and the psychological impact of management styles on productivity.
Which keywords best characterize this research?
Key terms include Decision making, Cost management, Modeling, Information systems, Management communication, and Organizational performance.
How is the ELECTRE method applied?
The ELECTRE method is applied in a case study context to assist in selecting the best manufacturing equipment by ranking alternative options based on multiple weighted criteria.
What specific simulation technologies are highlighted?
The text highlights CAD (Computer Aided Design) and CAE (Computer Aided Engineering) as essential tools for simulating technological systems to predict faults and optimize the reliability of stamps and dies before physical prototyping.
- Citar trabajo
- Cezarina Adina Tofan (Autor), 2017, Decision making and communication in industry, Múnich, GRIN Verlag, https://www.grin.com/document/384214
