Journal of Soft Computing and Decision Analytics最新文献_第2页

Estimation of Operation Time with Digital Twin in Manufacturing 利用数字孪生系统估算制造过程中的操作时间

Journal of Soft Computing and Decision Analytics Pub Date : 2024-01-01 DOI: 10.31181/jscda21202429

Şeyma Duymaz, A. F. Güneri

{"title":"Estimation of Operation Time with Digital Twin in Manufacturing","authors":"Şeyma Duymaz, A. F. Güneri","doi":"10.31181/jscda21202429","DOIUrl":"https://doi.org/10.31181/jscda21202429","url":null,"abstract":"There are two most important factors that are taken into consideration in businesses. One of them is time and the other is cost. In order to save time and cost, planning of production subcomponents involves a series of critical activities. Making more effective plans in the field of production has become possible with industry 4.0. Industry 4.0 includes the digitalization of production. One of the most popular topics in this process is the Digital Twin [DT]. The DT philosophy has enabled businesses to better understand the sub-processes of production. In this way, they can optimize them. With the development of this philosophy, more detailed models have been created. Enterprises keep their data under control in order to control, manage and optimize processes. These data are then utilized in the model building process. The aim of this study is to estimate the time from the moment a product enters the process to the moment it leaves the process by using the data obtained through time study etc. studies. Automated machine learning (AutoML) method is used to build the best model. Machine learning (ML) algorithms, which are popularly used in the literature, may not always give the best result. In order to prevent this, starting from the data preprocessing step, including hyperparameter optimization, the aim is to find the algorithm and parameters that give the best performance. It will contribute to DT studies by estimating the operation time. The study used a 115-row dataset from CNC machines. The dataset consists of velocity, motion and actual time. The actual time is tried to be estimated using motion/speed. It is aimed to achieve the best results with AutoML. lazy predict and tpot library were used in the study. As a result, an estimation of the duration of 100% was realized.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139127388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Do Information Systems Today Play a Strategic Role in Business? 如今，信息系统在企业中是否发挥着战略作用？

Journal of Soft Computing and Decision Analytics Pub Date : 2024-01-01 DOI: 10.31181/jscda21202432

Yajun Zheng

{"title":"Do Information Systems Today Play a Strategic Role in Business?","authors":"Yajun Zheng","doi":"10.31181/jscda21202432","DOIUrl":"https://doi.org/10.31181/jscda21202432","url":null,"abstract":"An information system is a combination of software, hardware, and telecommunication networks to collect useful data, especially in an organisation. Many businesses use information technology to complete and manage their operations, interact with their consumers, and stay ahead of their competition. The purpose of this study is to analyze and investigate the strategic role of information systems in modern enterprises. We analyzes the components of information systems and their overall functions, as well as the importance of keeping the information system and organizational strategy aligned. By analyzing the influence of digital connection on enterprises, this paper expounds the adoption of information system in enterprises. We analyze the reasons why information systems have a significant impact on organizational operations, and the goals of an enterprise's adoption of information systems. The relationship between proper information system and improving the efficiency of company operation is analyzed. In business operation, small and medium-sized enterprises regard information system as a priority, and the impact of strategic information system on enterprises. From the above, we conclude the value of information systems in contemporary enterprises, increasing productivity, reducing resource use, and making data collection more efficient.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139128385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive Risk Analysis and Decision-Making Model for Hydroelectricity Energy Investments 水电能源投资的综合风险分析和决策模型

Journal of Soft Computing and Decision Analytics Pub Date : 2024-01-01 DOI: 10.31181/jscda21202421

Serhat Yüksel, Serkan Eti, H. Di̇nçer, Yasar Gökalp

{"title":"Comprehensive Risk Analysis and Decision-Making Model for Hydroelectricity Energy Investments","authors":"Serhat Yüksel, Serkan Eti, H. Di̇nçer, Yasar Gökalp","doi":"10.31181/jscda21202421","DOIUrl":"https://doi.org/10.31181/jscda21202421","url":null,"abstract":"The risks of hydroelectricity energy investments should be managed effectively to increase the performance of these projects. Thus, more significant risks should be identified to take effective measures for risk management without experiencing high costs. Accordingly, the purpose of this study is to define critical risks in hydroelectricity energy investment projects by making a priority analysis. Within this scope, a new decision-making model is created. In the first stage, five different risks are examined by considering Spherical fuzzy Entropy. Moreover, the second stage consists of ranking emerging seven countries with the help of Spherical fuzzy multi-attribute ideal-real comparative assessment (MAIRCA). The main contribution of this study is that more important risks of hydroelectricity energy investments can be identified by the help of the priority analysis. This situation provides an opportunity to implement effective strategies to increase these investments without having high costs. Additionally, considering Spherical fuzzy sets has a positive impact on the appropriateness of the results. Since these numbers use a wider data range, the effectiveness of the analysis results can increase. It is determined that the most important risk is environmental risk with the highest weight value of 0.2478. Financial risks and personnel risks are other significant factors that affect the performance of the hydroelectricity energy investments. Furthermore, as a result of ranking the alternatives, it is seen that China is the most suitable country for hydroelectric energy investments. India and Mexico are other successful countries in this respect. However, Turkey and Indonesia have lower performance for this situation.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139128539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ranking Factors Affecting Sustainable Competitive Advantage from The Business Intelligence Perspective: Using Content Analysis And F-TOPSIS 从商业智能的角度对影响可持续竞争优势的因素进行排序：使用内容分析法和 F-TOPSIS

Journal of Soft Computing and Decision Analytics Pub Date : 2024-01-01 DOI: 10.31181/jscda21202430

Arman Kazemi, Zohre Kazemi, Hamed Heshmat, Javad Nazarian-Jashnabadi, Hana Tomášková

{"title":"Ranking Factors Affecting Sustainable Competitive Advantage from The Business Intelligence Perspective: Using Content Analysis And F-TOPSIS","authors":"Arman Kazemi, Zohre Kazemi, Hamed Heshmat, Javad Nazarian-Jashnabadi, Hana Tomášková","doi":"10.31181/jscda21202430","DOIUrl":"https://doi.org/10.31181/jscda21202430","url":null,"abstract":"Sustainable competitive advantage, as a key factor in business success, ensures that the company is able to dominate the market with differentiated products and services over a long period of time. This advantage is especially achieved through business intelligence, since smart decisions, leveraging meaningful data and analytics, and continuous process improvement help the company maintain this advantage and experience sustainable growth. The aim of this study is to rank the factors influencing sustainable competitive advantage from a business intelligence standpoint. The research methodology consists of two stages: qualitative and quantitative. In the first step, content analysis was performed to extract indicators from previous studies. In the second step, indicators were ranked using the F-TOPSIS method. Factors affecting sustainable competitive advantage from the business intelligence viewpoint were categorized into 5 criteria, including 27 sub-criteria. The 5 main criteria are customer relationship management, smart marketing, soft and hard organizational factors, and the mental image of the product, respectively. In the second step, the sub-criteria in each criterion were ranked. In customer relationship management, the most important sub-criterion is effective interaction with customers. In smart marketing, the most important sub-criterion is feedback and continuous improvement. Among the soft and hard organizational factors, the most important sub-criteria are support from senior management and technology and infrastructure. In the mental image of the product, the most important sub-criterion is social responsibility.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139126564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Interval-Valued Intuitionistic Fuzzy VIKOR Approach for R&D Project Selection in Defense Industry Investment Decisions 用于国防工业投资决策中研发项目选择的区间值直观模糊 VIKOR 方法

Journal of Soft Computing and Decision Analytics Pub Date : 2024-01-01 DOI: 10.31181/jscda21202428

Hakan Ayhan Dagistanli

引用次数: 0

Integer Linear Programming Approach for the Personnel Shuttles Routing Problem in Yıldız Campus in Istanbul 伊斯坦布尔Yıldız校园人员班车路线问题的整数线性规划方法

Journal of Soft Computing and Decision Analytics Pub Date : 2023-10-09 DOI: 10.31181/jscda11202326

Kaya Alp Tütüncü, Ufuk Bölükbaş, Ali Fuat Güneri, Nezihe Nazlı Gül

{"title":"Integer Linear Programming Approach for the Personnel Shuttles Routing Problem in Yıldız Campus in Istanbul","authors":"Kaya Alp Tütüncü, Ufuk Bölükbaş, Ali Fuat Güneri, Nezihe Nazlı Gül","doi":"10.31181/jscda11202326","DOIUrl":"https://doi.org/10.31181/jscda11202326","url":null,"abstract":"The Vehicle Routing Problem (VRP) revolves around the challenge of determining optimal vehicle routes for a company to efficiently serve a specific number of customers while minimizing costs. The Personnel Shuttle Routing Problem (PSRP) is a specialized variation of the VRP which focuses on optimizing shuttle or transportation services for individuals or small groups in specific contexts like universities, institutions or corporate campuses. The PSRP is of interest mostly in developed countries as it can lead to improved transportation efficiency, reduced environmental impact, and enhanced passenger satisfaction. This article details an optimization study conducted to address the PSRP within Yildiz Technical University’s Yildiz campus in 2021. The primary objective is to identify routes that minimize travel distances while ensuring balanced service coverage, all while adhering to specific constraints. The optimization approach leverages Integer Linear Programming to formulate a mathematical decision model. Data and information pertinent to the problem were acquired through consultations with the Yildiz Technical University General Secretary Support Unit managers. The resulting decision model was implemented using the GAMS 34.3.0 software package as a decision analytic programme, and the problem was solved by splitting it into two parts, addressing the Anatolian and European sides of the campus separately. The study culminated in a notable achievement: a reduction of 10.88% in the travel distances associated with Yildiz campus personnel shuttle routes.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135043310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Deployment and Implementation of IFS System Procurement Management Module of Road Network Company 路网公司IFS系统采购管理模块的部署与实现

Journal of Soft Computing and Decision Analytics Pub Date : 2023-10-03 DOI: 10.31181/jscda11202325

Yajun Zheng

{"title":"Deployment and Implementation of IFS System Procurement Management Module of Road Network Company","authors":"Yajun Zheng","doi":"10.31181/jscda11202325","DOIUrl":"https://doi.org/10.31181/jscda11202325","url":null,"abstract":"Enterprise Resource Plan is the coordination of management and technology, making full use of information and supporting operational decision is the resource of ERP. Huge enterprise need to adapt the management requirement of information age and implement ERP. Beijing Rail Transit Luwang Group implement project management and operate resource is the coordination of ERP concept and software, and put it into practice and operation. Purchasing management module take an important role in the ERP implementation. Material purchase, equipment purchase finance control, all these need to realize in the purchasing management system. So we make research and analyze to the purchasing management, then design and develop for IFS purchasing function module, and achieve the purpose of adjusting the organization structure and implementing function. This article analyzed the factors which affect the ERP implementation in every stage and evaluated the result of implement ERP. And this article also present the all processes from demand analysis to system test. According to the current situation of Luwang Group, we proposed adjustment for the management system which all departments participant, then build the relationship between material requirement with purchase application and contract, in order to promote the efficiency and turnover ratio of spare parts. Improving the material management and ensure the consistence between cash on hand and accounting ledger. Then evaluating the ERP efficiency and summarizing the advantages and problems of internal enterprise, and providing experience for ERP implementation widely.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135647830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Investigation the Effect of Covıd-19 Pandemic in The Sales for Online Education Using Machine Learning Methods 利用机器学习方法调查Covıd-19大流行对在线教育销售的影响

Journal of Soft Computing and Decision Analytics Pub Date : 2023-10-01 DOI: 10.31181/jscda11202322

Sukran Seker, Merve Türkmen Ergün

{"title":"Investigation the Effect of Covıd-19 Pandemic in The Sales for Online Education Using Machine Learning Methods","authors":"Sukran Seker, Merve Türkmen Ergün","doi":"10.31181/jscda11202322","DOIUrl":"https://doi.org/10.31181/jscda11202322","url":null,"abstract":"Due to the pandemic which is the cause of the COVID-19 virus that emerged in 2019, many educational institutions had to follow online (remote) education. The situation in which the content of the pandemic occurred was also the reason for the education preferences of the users. The aim of this study is to analyze the effect of the pandemic, which includes the number of registered users of one of the online education platforms operating in Turkey thanks to machine learning, on distance education sales, and to create strategies by making sales forecasts for the future. Seven independent and one dependent variable were used to make sales forecasts using the data of the education structure. For accurate modelling, machine learning methods were first applied for decision analytics in a univariate manner and then multivariate applied and the applied methods were tested for error. By testing the success of the prediction models created with machine learning used in the study; 91.43% for support vector machine (SVM), 92.02% for multi-layer perceptron (MLP), and 96% for Long / Short Term Memory (LSTM). K-Folds cross validation method was also used for the success return of the established model.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135996803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A novel multiple criteria ranking approach for determining the Most Valuable Player (MVP) of a sport season: A numerical study from NBA league 一种新的多标准排名方法来确定一个运动赛季最有价值球员(MVP):一项来自NBA联盟的数值研究

Journal of Soft Computing and Decision Analytics Pub Date : 2023-10-01 DOI: 10.31181/jscda11202323

Vildan Özkir, Ali Değirmenci

{"title":"A novel multiple criteria ranking approach for determining the Most Valuable Player (MVP) of a sport season: A numerical study from NBA league","authors":"Vildan Özkir, Ali Değirmenci","doi":"10.31181/jscda11202323","DOIUrl":"https://doi.org/10.31181/jscda11202323","url":null,"abstract":"Team sports have gained a significant place in society, generating debates about team strengths, player merits, and ultimately, determining champions. The National Basketball Association (NBA) offers various individual awards, with the MVP award holding paramount importance. Selecting the MVP necessitates a comprehensive approach considering both statistical performance and team success throughout the season. This study presents a fuzzy decision-making approach to compare the performance of players and identify the MVP of the League. A case study for the 2022-2023 NBA season is presented in this study, wherein 535 players' regular season statistics are analyzed. Correlation analysis is employed to eliminate the criteria which are dependent on each other. Therefore, the number of criteria has been decreased from twenty to seven which are defined as key metrics: (i) matches won, (ii) points scored per game, (iii) shooting percentage, (iv) rebounds per game, (v) assists per game, (vi) steals per game, and (vii) blocks per game. After correlation analysis, Full Consistency Method (FUCOM) is employed to determine the importance weights of the criteria. We have employed a specific normalization procedure and employed information axiomatic design (IAD) to rank players based on their total information contents. The case study proves the feasibility and applicability of the proposed methodology for multiple criteria ranking problem. Future research may focus on position-specific rankings, providing more accurate assessments, and extending analysis to youth leagues for draft day decisions.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135407408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ChatGPT and OpenAI: A Comprehensive Bibliometric Review ChatGPT和OpenAI:综合文献计量学综述

Journal of Soft Computing and Decision Analytics Pub Date : 2023-09-29 DOI: 10.31181/jscda11202324

Abdullah Önden, Mohammed Alnour

{"title":"ChatGPT and OpenAI: A Comprehensive Bibliometric Review","authors":"Abdullah Önden, Mohammed Alnour","doi":"10.31181/jscda11202324","DOIUrl":"https://doi.org/10.31181/jscda11202324","url":null,"abstract":"The introduction of OpenAI ChatGPT has sparked a lively discussion among researchers in academia, investors in business sector, and governments in policymaking circles. Numerous concerns have been expressed by Commentators from various scientific domains. Therefore, this study is an attempt to review the existing research pertaining to OpenAI's ChatGPT using bibliometric analysis. The study reviewed 210 research collected from Web of Sciences covering all disciplines. The analysis was based on (i) co-occurrence (keywords), (ii) citations and (iii) co-authorship. We found, keywords such as “ChatGPT, artificial intelligence, OpenAI, AI, education, chatbots, natural language processing, medicine, and management” are the most frequently used in OpenAI ChatGPT. Moreover, we identified that areas including cryptocurrencies, healthcare, future nursing, information value, non-human authors, algorithmic bias, clinical otolaryngology, clinical decision-making, large language models, generative pre-trained transfer are not covered deeply investigated using OpenAI ChatGPT. Finally, we found around 155 authors from 109 institutions located in 28 countries led by United Sated and Germany are actively engaged in producing research using OpenAI ChatGPT.","PeriodicalId":313803,"journal":{"name":"Journal of Soft Computing and Decision Analytics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135193236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0