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A Decision Making Method for Reconfiguration of Adaptive Info-communications Systems
Anik Yuesti,Saule Gabitovna Serikbayeva,Vasilya Minsalichovna Gafurova,Tatiana Gennadevna Mansurova 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
The adaptation both information and communication systems to variable external factors is implemented through the modernization activities. In this paper the problem of decision-making for adaptive system reconfiguration under uncertainty is considered. The decision-making method is used to detect a need for reconfiguration, built a set of reconfigurations plans and choose the preferable one based on data collection from diagnostic sensor network. Integral decision-making criterion combines the criterion for selecting a suitable reconfiguration moment and alternative. The main idea of the proposed method is to combine the multifactor active diagnostic model, weighted utility and preference theory, decision-making technique under uncertainty with comparison methods for fuzzy trees with incomplete requirement. The general result is achieved by reducing the uncertainty of diagnostic data. It is expected that the proposed decision-making method will help to improve the systems’ suitability in the case of uncertainty.
Application of Forest Optimization Algorithm for the Resource Constraint Project Scheduling
Anik Yuesti,Rizqy Amalia Putri,Hussein Tuama Hazim,Oleg N. Polukhin,Hendrixon,Israr AHMAD,Tzu-Chia Chen,Vo Hoang Ca,Huynh Tan Hoi,Surendar Aravindhan 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
Project scheduling is one of the most complex yet important issues in project-based planning. Scheduling is a topic that has entered the project from the production space and has been considered by many researchers in recent years. This problem has always faced many challenges due to its complex limitations in the real world. One of these issues is resource scheduling, known in optimization as the RCPSP problem. The study's main aim is to investigate the applica-tion of a forest optimization algorithm for resource constraint project scheduling. In this research, the RCPSP problem is optimized. A mathematical model is then proposed and then optimized using meteorological algorithms for forest optimization and refrigeration simulation. A hybrid meta-algorithm has also been developed for this document. Examination and comparisons of this algorithm show that the proposed method has the necessary efficiency both in terms of speed and quality of solutions.
Optimizing the Issue of Blood Supply Chain Network Design with a Reliability Approach
Anik Yuesti,Paitoon Chetthamrongchai,Alim Al Ayub Ahmed,Vera Anitra,Surendar Aravindhan,Ravil Akhmadeev,Dedy Achmad Kurniady,Clara Neltje Meini Rotinsulu,M. Kavitha 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
Supply chain network design of a product is one of the primary and strategic measures in supply chain management that plays a vital role in supply chain performance. Since blood is a special commodity and has no substitute, supply chain management and optimization have a special place among researchers. In this research, for the first time, a two-objective nonlinear mixed integer model is presented to help make strategic and operational decisions in the blood supply chain. The first objective function is related to cost minimization and the second objective function is related to supply chain reliability maximization, which is considered as a series-parallel system. To check the validity of the model, a numerical example is solved using GAMS software, then using MOPSO meta-heuristic algorithm, the model is solved in larger dimensions and while comparing the performance criteria of multi-objective algorithms, the results are reviewed.