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 TECHNOLOGICAL SYSTEMS SIMULATION
Objectives and Key Themes
This work aims to investigate the decision-making process within the context of the knowledge-based economy and the increasing complexity of management issues. It explores the use of information systems for decision-making, emphasizing the application of intelligent technologies and modern decision-making methods. The objective is to achieve a comprehensive understanding of how these technologies can contribute to improving the efficiency and effectiveness of management in the Romanian industry.
- The impact of information systems on decision-making in a complex, globalized environment.
- The role of intelligent technologies in supporting and enhancing decision-making processes.
- The importance of modern decision-making methods and their application in various industrial sectors.
- The interdisciplinary approach to decision-making, integrating human reasoning and technological solutions.
- The use of information systems for decision-making to improve management performance and profitability in companies.
Chapter Summaries
- INTRODUCTION: This chapter provides a general overview of the context surrounding decision-making in the knowledge-based economy, highlighting the increasing complexity of management issues. It introduces the topic of information systems for decision-making and outlines the key objectives of the study.
- INFORMATION SYSTEMS, DECISION SUPPORT SYSTEMS: This chapter delves into the importance of decision support systems in the modern economy, where the relationship between product, market, and competition is becoming increasingly complex. It explores the role of information systems in supporting a flexible and dynamic management style.
- DATA BASE CONCERNING THE COSTING: This chapter focuses on the importance of collecting, processing, and selecting relevant information for effective decision-making. It emphasizes the need for quality and timely information as a valuable resource for organizations.
- MANAGEMENT MODELLING AND OPTIMISATION THE DECISIONS: This chapter discusses the process of modelling and optimizing decisions using data and analytical methods. It explores how these techniques can contribute to better informed and more effective decision-making.
- SYSTEMS TO ASSISTANCE OF DECISION TO SUPPORT A COMPANY'S INVESTMENT POLICY: This chapter examines the role of information systems in supporting a company's investment decisions. It explores how these systems can help organizations to analyze investment opportunities and make informed decisions.
- QUALITY DECISION-MAKING THROUGH THE SYSTEMS RELIABILITY: This chapter focuses on the importance of system reliability in ensuring high-quality decision-making. It explores how reliable systems can contribute to more accurate and trustworthy decision outputs.
- DATA PROCESSING BY MATHEMATICAL MODELS TO SUPPORT THE DECISION ADOPTION: This chapter explores the use of mathematical models in data processing to support decision-making. It examines how these models can help to analyze complex data and provide insights for decision-makers.
- A SIAD ACHIEVEMENT BASED ON THE COLLECTION OF THE INDUSTRY COSTS: This chapter presents a specific example of an industry cost collection system and its implementation. It highlights the importance of data collection and analysis in supporting decision-making within an organization.
- MULTI-CRITERIA ANALYSIS THROUGH THE ELECTRE METHOD: This chapter introduces the ELECTRE method as a tool for multi-criteria analysis in decision-making. It explores how this method can be used to evaluate different options based on multiple criteria.
- ADOPTING THE DECISION USING THE DECISIONAL TREE METHOD: This chapter examines the decisional tree method as a tool for decision-making. It explores how this method can help to structure and visualize complex decisions.
- THE MODERN MANAGEMENT TOOLS MEETING: This chapter discusses the integration of modern management tools in decision-making processes. It highlights the importance of utilizing these tools to enhance efficiency and effectiveness.
- MANAGEMENT TOOLS TO SUPPORT ADOPTING THE DECISION ON THE COSTS: This chapter focuses on the use of management tools in supporting decisions related to costs. It explores how these tools can be used to analyze cost data and make informed decisions.
- VALUE ANALYSIS: This chapter explores the concept of value analysis in decision-making. It examines how this approach can help organizations to identify and maximize value in their decisions.
- THE IMPACT OF MANAGEMENT COMMUNICATION ON THE DECISIONS TO INCREASE THE PERFORMANCE OF AN ORGANIZATION: This chapter investigates the role of communication in decision-making processes. It explores how effective communication can contribute to improved organizational performance.
- COMPUTERIZED TECHNOLOGICAL SYSTEMS SIMULATION: This chapter explores the use of computerized simulations to model and analyze decision-making scenarios. It examines how these simulations can help to understand the potential outcomes of different decisions.
Keywords
This work focuses on the intersection of information systems, decision-making, and management in the context of the knowledge-based economy. Key concepts explored include intelligent technologies, decision support systems, modern decision-making methods, industrial management, and organizational performance. Specific technologies and methods discussed include artificial intelligence, multi-criteria analysis (ELECTRE method), decisional tree methods, and value analysis.
- Quote paper
- Cezarina Adina Tofan (Author), 2017, Decision making and communication in industry, Munich, GRIN Verlag, https://www.grin.com/document/384214
