Meteorological information service support system in wind park application

2015 ◽  
Vol 22 (2) ◽  
pp. 222-237 ◽  
Author(s):  
Yang Liu ◽  
Wenshan Yang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Wind Power ◽  
Support System ◽  
Operations Management ◽  
Extreme Weather Events ◽  
Conceptual System ◽  
Content Type ◽  
Wind Park ◽  
Support Decision Making

Purpose – The purpose of this paper is to introduce a holistic decision support system based on condition-based maintenance which utilizes meteorological forecasting information to support decision-making process in services of wind power enterprises. Design/methodology/approach – A pilot conceptual system combining with meteorological information and operations management has been formulated in this study. The proposed system provides benchmarking to support decision making directly and indirectly basing on processing meteorological information and evaluating its impact on service operations. It collects meteorological data to predict failure probabilities in different areas which need corresponding maintenance service and schedule the optimal maintenance periods. In addition, it provides meteorological forecasting and decision support in case of extreme weather events (EWEs). Findings – The conceptual study shows that there is a connection between the meteorological conditions and failures, and it is feasible to make service decisions based on the predictions of weather conditions and their impacts to failures. Research limitations/implications – The research presented at the present phase is not much beyond a conceptual framework. The actual implementation and all possible related practical issues will be dealt with in future research. Practical implications – It helps decision makers to predict and identify possible categories of faults in wind turbine, make optimal service decisions to enhance the output performance of wind power generation, and take in advance emergency counteractions in case of EWEs. Originality/value – It presents a novel concept and provides a roadmap to achieve optimal operations in wind park application through combining meteorological information system with service decision making.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Virtual reality-based decision support model for interior design and decoration of an office building

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi-Kai Juan ◽  
Hao-Yun Chi ◽  
Hsing-Hung Chen
Keyword(s):  
Decision Making ◽  
Virtual Reality ◽  
Decision Support ◽  
Decision Support System ◽  
Interior Design ◽  
Support System ◽  
Decision Makers ◽  
Office Building ◽  
Design Decision ◽  
Content Type

Purpose The purpose of this paper is to develop a virtual reality (VR)-based and user-oriented decision support system for interior design and decoration. The four-phase decision-making process of the system is verified through a case study of an office building. Design/methodology/approach Different “spatial layouts” are presented by VR for users to decide their preference (Phase 1). According to the selected spatial layout, a “spatial scene” is constructed by VR and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is used to determine the spatial scene preference (Phase 2). Based on the binary integer programming method, the system provides the optimal preliminary solution under a limited decoration budget (Phase 3). Finally, the consistency between the overall color scheme and pattern is fine-tuned by VR in order to obtain the final solution (Phase 4). Findings The questionnaire survey results show that decision makers generally affirm the operation and application of VR, and especially recognize the advantages in the improvement of VR-based interior design feasibility, communication efficiency and design decision-making speed. The optimization of the costs and benefits enables decision makers to effectively evaluate the impact of design decisions on subsequent project implementation during the preliminary design process. Originality/value The VR-based decision support system for interior design retains the original immersive experience of VR, and offers a systematic multiple criteria decision- making and operations research optimization method, thus, providing more complete decision-making assistance. Compared with traditional design communication, it can significantly reduce cognitive differences and improve decision-making quality and speed.

New spatial decision support systems for sustainable urban and regional development

2015 ◽  
Vol 4 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Patrizia Lombardi ◽  
Valentina Ferretti
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Case Studies ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Content Type ◽  
New Generation ◽  
Support Decision Making ◽  
Regeneration Processes

Purpose – Policy makers are frequently challenged by the need to achieve sustainable development in cities and regions. Current decision-making processes are based on evaluation support systems which are unable to tackle the problem as they cannot take a holistic approach or a full account of actors. The purpose of this paper is to present a new generation of evaluation systems to support decision making in planning and regeneration processes which involve expert participation. These systems ensure network representation of the issues involved and visualization of multiple scenarios. Design/methodology/approach – A literature review is used for both revising existing evaluation tools in urban planning and the built environment and highlighting the need to give stakeholders (industry, cities, operators, etc.) new tools for collaborative or individual decisions and to facilitate scaling up solutions. An overview of the new generation of decision support systems, named Multicriteria Spatial Decision Support Systems (MC-SDSS) is provided and real case studies are analyzed to show their ability to tackle the problem. Findings – Recent research findings highlight that decisions in urban planning should be supported by collaborative and inclusive processes. Otherwise, they will fail. The case studies illustrated in this study highlight the usefulness of MC-SDSS for the successful resolution of complex problems, thanks to the visualization facilities and a network representation of the scenarios. Research limitations/implications – The case studies are limited to the Italian context. Practical implications – These SDSS are able to empower planners and decision makers to better understand the interaction between city design, social preferences, economic issues and policy incentives. Therefore, they have been employed in several case studies related to territorial planning and regeneration processes. Originality/value – This study provides three case studies and a review of the new MC-SDSS methodology which involve the Analytic Network Process technique to support decision-making in urban and regional planning.

Expert knowledge elicitation for decision-making in home energy retrofits

2014 ◽  
Vol 32 (5) ◽  
pp. 377-395 ◽  
Author(s):  
Daniel Yaw Addai Duah ◽  
Kevin Ford ◽  
Matt Syal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Expert Knowledge ◽  
Knowledge Elicitation ◽  
Content Type ◽  
Intelligent Decision Support System ◽  
Intelligent Decision ◽  
Intelligent Decision Support

Purpose – The purpose of this paper is to develop a knowledge elicitation strategy to elicit and compile home energy retrofit knowledge that can be incorporated into the development of an intelligent decision support system to help increase the uptake of home energy retrofits. Major problems accounting for low adoption rates despite well-established benefits are: lack of information or information in unsuitable and usable format for decision making by homeowners. Despite the important role of expert knowledge in developing such systems, its elicitation has been fraught with challenges. Design/methodology/approach – Using extensive literature review and a Delphi-dominated data collection technique, the relevant knowledge of 19 industry experts, selected based on previously developed determinants of expert knowledge and suitable for decision making was elicited and compiled. Boolean logic was used to model and represent such knowledge for use as an intelligent decision support system. Findings – A combination of comprehensive knowledge elicitor training, Delphi technique, semi-structured interview, and job shadowing is a good elicitation strategy. It encourages experts to describe their knowledge in a natural way, relate to specific problems, and reduces bias. Relevant and consensus-based expert knowledge can be incorporated into the development of an intelligent decision support system. Research limitations/implications – The consensus-based and relevant expert knowledge can assist homeowners with decision making and industry practitioners and academia with corroboration and enhancement of existing knowledge. The strategy contributes to solving the knowledge elicitation challenge. Originality/value – No previous study regarding a knowledge elicitation strategy for developing an intelligent decision support system for the energy retrofit industry exists.

scholarly journals Decision Support System Recommended for Position Increased at PD. Air Minum Jaya By Using SMART Method

2019 ◽  
Vol 3 (1) ◽  
pp. 134
Author(s):  
Rudianto Rudianto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Assessment Data ◽  
Multi Attribute Decision Making ◽  
Innovation And Ethics ◽  
Support Decision Making

<span>Employees are one of the human resources that are very important in determining the success of the company's work. There fore the company must appoint employees into one of the positions according to the expertise desired by the company. There are still many managers to appoint their employees to only see how long they work without being supported by adequate expertise. So that the appointment of employees by managerial is subjective. For this reason, it is necessary to process employee assessment data that can help make it easier for a boss and the Payroll section to take a decision to recommend employees to take office. The method used to solve the problem of recommendation for promotion for employees by using the SMART method (Simple Multi Attribute Rating Technique) is a multi-attribute decision-making method used to support decision making in choosing between several alternatives. The criteria used in calculating the assessment are professional criteria, cooperation, leadership, innovation and ethics at work. Judging from the managerial aspects, the assessment can be developed with other criteria according to the needs of the company</span>

scholarly journals Perancangan Website untuk Menentukan Produk Paling Banyak Terjual di Bengkel Man Motor Metode TOPSIS

2020 ◽  
Vol 11 (2) ◽  
pp. 125-129
Author(s):  
Vienne Anggelica Kurnia ◽  
Aldo Erianda ◽  
Dwiny Meidelfi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Decision Making Process ◽  
Server Side ◽  
Support Decision Making

Decision support system, or DSS, is a system to support decision making process. One commonly used method is TOPSIS. It is a method for decision making on multi-criteria issues, and is one of the simplest and easiest to understand. One of the functions of TOPSIS is to determine the most sold products. It requires a programming language called PHP to implement it on Website. PHP is a server-side programming language, so, all processes are conducted on server, then given to customers. Further, it requires a database for storing the data and software to manage the database is MySQL.

scholarly journals Research and Application of Simulation-Based Decision-Support

2012 ◽  
Vol 6-7 ◽  
pp. 250-255
Author(s):  
Chun Yu ◽  
Fang Yuan ◽  
Qian Zhang
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Simulation Model ◽  
Support System ◽  
Key Technology ◽  
Simulation Based ◽  
Decision Support Method ◽  
Support Decision Making

To find a way to support decision making on basis of simulation, this paper researches the technology of simulation and decision support, and proposes a decision-support method based on simulation, illustrates the actual administrative demand of university, establishes a simulation model, builds the architecture of simulation-based decision-support system, discusses the key technology in the implementation. This module, by summarizing the results of testing and forming the advice of supporting, can well achieve the combination of simulation and decision-support, and thus getting a better result.

Designing a lean storage allocation policy for non-uniform unit loads in a forward-reserve model

2018 ◽  
Vol 31 (1) ◽  
pp. 112-145 ◽  
Author(s):  
Bhavin Shah ◽  
Vivek Khanzode
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Support System ◽  
Buffer Size ◽  
Storage Allocation ◽  
Content Type ◽  
Allocation Policy ◽  
Dynamic Storage Allocation ◽  
Dynamic Storage ◽  
Forward Area

Purpose The contemporary e-tailing marketplace insists that distribution centers are playing the roles of both wholesalers and retailers which require different storage-handling load sizes due to different product variants. To fulfill piecewise retail orders, a separate small size-fast pick area is design called “forward buffer” wherein pallets are allocated from reserve area. Due to non-uniform pallets, the static allocation policy diminishes forward space utilization and also, more than practically required buffer size has been identified as wastage. Thus, dynamic storage allocation policy is required to design for reducing storage wastage and improving throughput considering non-uniform unit load sizes. The purpose of this paper is to model such policy and develop an e-decision support system assisting enterprise practitioners with real-time decision making. Design/methodology/approach The research method is developed as a dynamic storage allocation policy and mathematical modeled as knapsack-based heuristics. The execution procedure of policy is explained as an example and tested with case-specific data. The developed model is implemented as a web-based support system and tested with rational data instances, as well as overcoming prejudices against single case findings. Findings The provided model considers variable size storage-handling unit loads and recommends number of pallets allocations in forward area reducing storage wastes. The algorithm searches and suggests the “just-right” amount of allocations for each product balancing existing forward capacity. It also helps to determine “lean buffer” size for forward area ensuring desired throughput. Sensitivity and buffer performance analysis is carried out for Poisson distributed data sets followed by research synthesis. Practical implications Warehouse practitioners can use this model ensuring a desired throughput level with least forward storage wastages. The model driven e-decision support system (DSS) helps for effective real-time decision making under complicated business scenarios wherein products are having different physical dimensions. It assists the researchers who would like to explore the emerging field of “lean” adoption in enterprise information and retail-distribution management. Originality/value The paper provides an inventive approach endorsing lean thinking in storage allocation policy design for a forward-reserve model. Also, the developed methodology incorporating features of e-DSS along with quantitative modeling is an inimitable research contribution justifying rational data support.

scholarly journals TSUKAMOTO FUZZY METHOD IN DECISSON SUPPORT SYSTEM DESIGN

JURTEKSI ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 83-88
Author(s):  
Arridha Zikra Syah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
System Design ◽  
Support System ◽  
Support Systems ◽  
Central Office ◽  
Fuzzy Algorithm ◽  
Manual Calculation ◽  
Support Decision Making

Abstract: PT Pinus Merah Abadi is one of the distributor companies in Indonesia engaged in selling snacks such as snacks and wafers with the Nabati brand. Every month the company offers increased incentives for its employees with predetermined conditions or targets. But in the process, the incentive calculation is managed manually using criteria by the General Affair Personnel who then data the results of the manual calculation are sent to the central office to obtain the disbursement of funds. Sometimes the results of these decisions are too rigid. The method used to solve this problem is the RAD method and each stage is adjusted accordingly based on the Tsukamoto fuzzy algorithm. From this study, an application of decision support systems was obtained that could support decision making to increase incentives that were more appropriate in human consideration. Keywords: decison support system design; incentive calculation; tsukamoto method Abstrak: PT Pinus Merah Abadi merupakan salah satu perusahaan distributor di Indonesia yang bergerak di bidang penjualan makanan ringan seperti snack dan wafer dengan merk nabati. Setiap bulan perusahaan menawarkan insentif yang meningkat bagi karyawannya dengan kondisi atau target yang telah ditentukan. Namun dalam prosesnya, perhitungan insentif dikelola secara manual menggunakan kriteria oleh personil urusan umum yang kemudian data hasil perhitungan manual dikirim ke kantor pusat untuk mendapatkan pencairan dana. Terkadang hasil dari keputusan ini terlalu kaku. Metode yang digunakan untuk memecahkan masalah ini adalah metode RAD dan dalam setiap tahap disesuaikan sesuai berdasarkan algoritma fuzzy Tsukamoto. Dari studi ini, sebuah aplikasi dari sistem pendukung keputusan diperoleh yang dapat mendukung pengambilan keputusan untuk meningkatkan insentif yang lebih tepat dalam pertimbangan manusia. Kata kunci: metode tsukamoto; peningkatan insentif, perancangan sistem pendukung keputusan

Designing for construction procurement: an integrated Decision Support System for Building Information Modelling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mostafa Babaeian Jelodar ◽  
Suzanne Wilkinson ◽  
Roohollah Kalatehjari ◽  
Yang Zou
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Information Needs ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Multi Attribute Utility Theory ◽  
Building Information

PurposeMany applications of Building Information modelling (BIM) are already integrated into project management processes. However, the construction industry is suffering from poor decision-making, especially during procurement where fundamental decisions are made. To make the best decisions at earlier project stages, such as design, large amount of information needs to be processed and classified. Therefore, this study seeks to create a Decision Support System (DSS) for construction procurement through the application of existing informatics infrastructure and BIM applications.Design/methodology/approachLiterature review expert interviews and case studies with complex procurement considerations were used to identify and validate attributes and criterions for procurement decision-making. Accordingly, Multi-Attribute Utility Theory (MAUT) methodology was used and mathematical models were driven as the foundation for a DSS.FindingsFive major criterions of time, cost, relationship quality, sustainability and quality of work performed was identified for complex construction procurement decision-making. Accordingly, a DSS structure and mathematical model was proposed. Based on this a model architecture was developed for the integration of the DSS into Autodesk Revit as a BIM platform, and assist in pre-contract decision-making.Practical implicationsThe results can be used in pre-contract selection processes via currently used BIM applications. The model architecture can integrate DSS outputs to nD models, cloud systems and potentially virtual reality facilities to facilitate better construction operations and smarter more automated processes.Originality/valueThis study formulates and captures complex and unstructured information on construction procurement into a practical DSS model. The study provides a link to integrate solutions with already available platforms and technologies. The study also introduces the concept of designing for procurement; which can be expanded to other challenging decisions during construction.

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