A decision support system for inventory management in high research & development environment

1987 ◽  
Vol 13 (1-4) ◽  
pp. 71-72 ◽  
Author(s):  
Boaz Ronen
2019 ◽  
Vol 12 (1) ◽  
pp. 38-47
Author(s):  
Badri Valerievich Sigua ◽  
Vyacheslav Petrovich Zemlyanoy ◽  
Evgeniya Anatolyevna Semenova ◽  
Saryuna Olegovna Abidueva ◽  
Matvey Sergeevich Prichisly ◽  
...  

Relevance. Currently, acute appendicitis occupies a leading position in the structure of surgical diseases that require urgent surgical intervention. A significant part of operations for acute inflammation of the appendix is ​​performed from the laparoscopic approach. But, despite the wide possibilities of modern medicine, it is often necessary to resort to traditional laparotomic access. The classic access to the appendix is ​​the access via Volkovich-Dyakonov through the Mac-Burney point or the Lanz point. In fact, in most cases, the projection of the base of the appendix does not coincide with the Lanz and Mac-Burney points. This is due to differences in the location of the appendix in the abdominal cavity, as well as with individual constitutional parameters, including the presence or absence of obesity. In addition, in women the dome of the cecum and the appendix are slightly lower than in men. Considering these aspects, as well as the inadmissibility of delaying surgical treatment, it becomes necessary to determine the access point to the appendix as clearly and quickly as possible. Aim is development and implementation of the surgeon’s intellectual decision support system (IDSS) in the definition of operative access to the appendix in people with abdominal obesity. Materials and methods: for the development of the IDSS of the surgeon, 101 SKT images were analyzed, which were used to build 3D models of the studied areas. 3D modeling allows for more accurate geometric measurements. The program “Inobitec DICOM Viewer” was used to work with images. It was decided to use the development environment “Embarcadero Delphi XE7” to implement the decision support system. Results: an algorithm was developed to support the surgeon's decision in determining prompt access to the appendix, and the software implementation of the IDSS of the surgeon was completed. The IDSS of the surgeon was tested and showed good results. Conclusion: the development of the IDSS of the surgeon is designed to speed up preoperative preparation and significantly reduce the number of medical errors in determining prompt access to the appendix, which is important in urgent surgery.


2019 ◽  
Vol 28 (4) ◽  
pp. 549-557
Author(s):  
Mahuya Deb ◽  
Prabjot Kaur ◽  
Kandarpa Kumar Sarma

Abstract The ubiquitous nature of inventory and its reliance on a reliable decision support system (DSS) is crucial for ensuring continuous availability of goods. The DSS needs to be designed in a manner that enables it to highlight its present status. Further, the DSS should be able to provide indications about subtle and large-scale variations that are likely to occur in the supply chain within the context of the decision-making framework and inventory management. However, while dealing with the parameters of the system, it is observed that its operations and mechanisms are surrounded by uncertain, imprecise, and vague environments. Fuzzy-based approaches are best suited for such situations; however, these require assistance from learning systems like artificial neural network (ANN) to facilitate automated decision support. When ANN and fuzzy are combined, the fuzzy neural system and the neuro-fuzzy system (NFS) are formulated. The model of the DSS reported here is based on a framework commonly known as adaptive neuro-fuzzy inference system (ANFIS), which is a version of NFS. The configured model has the advantages of both the ANN and fuzzy systems, and has been tested for the design of a DSS for use as part of inventory control. In this work, we report the design of an ANFIS-based DSS configured to work as DSS for inventory management. The system accepts demand as input and generates procurement, ordering, and holding cost to control production and supply. The system deals with a certain profitability rating required to quantify the changes in the input and is combined with the day-to-day inventory records and demand-available cycle. The effectiveness of the system has been checked in terms of number and types of membership used, accuracy generated, and computational efficiency accounted by the computation cycles required.


2006 ◽  
Vol 22 (04) ◽  
pp. 248-252
Author(s):  
Song Sang ◽  
Hua-jun Li

A new aided decision support system (DSS) based on data warehouses is discussed. It is composed of data warehouses, on-line analysis processing, and data mining, which is new in the field of DSS. The essential principle, the setting up of the model, the development environment, the main system interface, and a sketch of the theory framework of the new DSS architecture are also described. The decision support system was applied to data abstraction for evaluating ship form scenarios. Tests have shown it to be practical and dependable in complex systems, such as in the demonstration of ship forms.


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