Features of information support for decision-making in planning production processes

2021 ◽  
Author(s):  
Daria Kolesnikova ◽  
Mikhail Tsarev ◽  
Radda Iureva ◽  
Yuri Andreev
Keyword(s):  
Decision Making ◽  
Information Support ◽  
Production Processes ◽  
Planning Production

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Information support for expert evaluation of the states of the external environment

2020 ◽  
pp. 71-76
Author(s):  
Rasol Murtadha Najah
Keyword(s):  
Decision Making ◽  
Environmental Conditions ◽  
Fuzzy Inference ◽  
Environmental Parameters ◽  
Information Support ◽  
Expert Assessment ◽  
Fuzzy Variables ◽  
Decision Making Models ◽  
The Difference ◽  
State Of The Environment

This article discusses the application of methods to enhance the knowledge of experts to build a decision-making model based on the processing of physical data on the real state of the environment. Environmental parameters determine its ecological state. To carry out research in the field of expert assessment of environmental conditions, the analysis of known works in this field is carried out. The results of the analysis made it possible to justify the relevance of the application of analytical, stochastic models and models based on methods of enhancing the knowledge of experts — experts. It is concluded that the results of using analytical and stochastic objects are inaccurate, due to the complexity and poor mathematical description of the objects. The relevance of developing information support for an expert assessment of environmental conditions is substantiated. The difference of this article is that based on the analysis of the application of expert methods for assessing the state of the environment, a fuzzy logic adoption model and information support for assessing the environmental state of the environment are proposed. The formalization of the parameters of decision-making models using linguistic and fuzzy variables is considered. The formalization of parameters of decision-making models using linguistic and fuzzy variables was considered. The model’s description of fuzzy inference is given. The use of information support for environment state assessment is shown on the example of experts assessing of the land desertification stage.

scholarly journals The Frontier Production Function: A Tool for Improved Decision Making

1980 ◽  
Vol 9 (2) ◽  
pp. 1-10 ◽  
Author(s):  
Richard A. King
Keyword(s):  
Decision Making ◽  
Production Function ◽  
Best Practice ◽  
Processing Plant ◽  
Technical Knowledge ◽  
Production Processes ◽  
Frontier Production Function ◽  
Enterprise Budgets

A frontier production function may be thought of as a “best practice” production function (Førsund and Jansen) or a function that expresses the maximum product obtainable from various combinations of factors given the existing state of technical knowledge. It is the theoretical counterpart to farm enterprise budgets or processing plant budgets derived by economic engineering methods to describe the best possible production processes.

scholarly journals Exploitation Policy in the Aspect of Industry 4.0 Concept – Overview of Selected Research

2018 ◽  
Vol 1 (1) ◽  
pp. 353-359
Author(s):  
Anna Timofiejczuk ◽  
Jaroslaw Brodny ◽  
Andrzej Loska
Keyword(s):  
Decision Making ◽  
Product Development ◽  
Industry 4.0 ◽  
Maintenance Management ◽  
Research Results ◽  
Production Processes ◽  
Decision Making Processes ◽  
Technical Systems

Abstract The article is a review of completed research on developed and implemented innovative and technologically advanced technical systems. According to the Industry 4.0 concept they can have a significant impact on the efficiency of production processes and product development. In this perspective, the key aspect seems to be maintenance management of technical systems, realized both in the operate phase as well as during service and repair works. There were discussed research results of authors and developed application solutions supporting decision-making processes, in terms of three main periods of realization of exploitation processes: short, medium and long-term.

scholarly journals TRANSFORMATION OF THE DECISION SUPPORT SYSTEM MODEL FOR STANDARD SITUATIONS USING INTELLECTUAL AND ANALYTICAL METHODS

2021 ◽  
Vol 21 (3) ◽  
pp. 14-25
Author(s):  
V.V. Antonov ◽  
◽  
K.A. Konev ◽  
G.G. Kulikov ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Information Support ◽  
Accurate Identification ◽  
Interaction Structure ◽  
Typical Situation ◽  
Analytical Tools

The article discusses the issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the ar-ticle is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main compo-nents of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of sce-narios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to sup-port decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situa-tions; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was de-termined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solu-tion for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be im-proved by using the proposed methods and implementing a decision support system with an intelli-gent component.

Deep Learning Based Active Monitoring for Anti-collision between Vessels and Bridges

2019 ◽  
Author(s):  
Limu Chen ◽  
Ye Xia ◽  
Dexiong Pan ◽  
Chengbin Wang
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Object Detection ◽  
Large Scale ◽  
Data Augmentation ◽  
Information Support ◽  
Single Shot ◽  
Active Monitoring ◽  
Detection Model ◽  
Comparison Results

<p>Deep-learning based navigational object detection is discussed with respect to active monitoring system for anti-collision between vessel and bridge. Motion based object detection method widely used in existing anti-collision monitoring systems is incompetent in dealing with complicated and changeable waterway for its limitations in accuracy, robustness and efficiency. The video surveillance system proposed contains six modules, including image acquisition, detection, tracking, prediction, risk evaluation and decision-making, and the detection module is discussed in detail. A vessel-exclusive dataset with tons of image samples is established for neural network training and a SSD (Single Shot MultiBox Detector) based object detection model with both universality and pertinence is generated attributing to tactics of sample filtering, data augmentation and large-scale optimization, which make it capable of stable and intelligent vessel detection. Comparison results with conventional methods indicate that the proposed deep-learning method shows remarkable advantages in robustness, accuracy, efficiency and intelligence. In-situ test is carried out at Songpu Bridge in Shanghai, and the results illustrate that the method is qualified for long-term monitoring and providing information support for further analysis and decision making.</p>

Circularity in Portugal

2020 ◽  
pp. 224-240
Author(s):  
Ana Cristina Pego
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Conceptual Model ◽  
Circular Economy ◽  
Raw Materials ◽  
Sustainable Consumption ◽  
New Production ◽  
Business Decision ◽  
Production Processes ◽  
New Methodologies

The use of renewable energy and recycling products is one of the main achievements of organizations. The circular economy (CE) is a new concept which evolves out of a new management assumption in organizations based on recycling, reuse, and repurposing of products. The circular economy provides a framework for facing challenges and a guide for rethinking and redesigning the future. This chapter analyzes the Portuguese market for circular economy organizations based on discussion of the CE conceptual model. The circular economy is expected to contribute positively by introducing new methodologies for the production of raw materials, with new production processes and giving value to eco products. The challenge for Portuguese organizations is to create management “vectors” which promote networking innovation, labor, capital, and eco products. Overall, the conceptual model presented gives importance to Portuguese business decision making for sustainable consumption, which provides advancements in business for the green supply chain.

Managing Information for Real-Time Decision Support at Community Level

2013 ◽  
Vol 5 (1) ◽  
pp. 60-76
Author(s):  
Hakikur Rahman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Support System ◽  
Life Support ◽  
Human Life ◽  
Community Level ◽  
Information Support ◽  
Space Technology

Management of real time information systems is gaining importance in all sectors and facets of human life. Varying from their applications in aviation, military, government, space technology, earth science, robotics, human cognitive, life support systems, disasters and emergencies, they emerge in diversified forms and natures. This paper identifies various contexts in the decision making processes of community livelihood; contextualizes the relevant information for taking time-critical decision, conceptualizes appropriate decision making methods, tools, and technologies for proper implementation, and manages an appropriate decision support system focusing knowledge acquisition and learning. Along this perspective, the paper establishes a decision support system framework in the aspect of early warning system in reaching out to grass roots community people at their own language, sign, and interpretation; provides knowledge support during disaster management, especially during post-disaster; provides information support in agriculture related matters, focusing pest control, and pre and post harvesting issues; provides emergency health assistance support during road accidents, or emergency health cases, or epidemic breakouts; and finally provides collaborative learning to improve e-governance at community level.

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