International Journal of Industrial Engineering and Operations Management最新文献_第6页

Integrating Topological and Hydraulic Attributes for Robustness Analysis of Water Distribution Networks 基于拓扑和水力属性的配水网络鲁棒性分析

International Journal of Industrial Engineering and Operations Management Pub Date : 2019-05-15 DOI: 10.46254/J.IEOM.20190101

Seyed Ashkan Zarghami, I. Gunawan, F. Schultmann

引用次数: 4

New Framework to Optimize Leagile Supply Chain Design 优化敏捷供应链设计的新框架

International Journal of Industrial Engineering and Operations Management Pub Date : 2019-05-15 DOI: 10.46254/j.ieom.20190104

D. Nguyen, T. Dao

{"title":"New Framework to Optimize Leagile Supply Chain Design","authors":"D. Nguyen, T. Dao","doi":"10.46254/j.ieom.20190104","DOIUrl":"https://doi.org/10.46254/j.ieom.20190104","url":null,"abstract":"The literature of Leagile supply chain (LASC) is lacking of the concurrence between supply chain (SC) design and product design, and missing the placement of decoupling point (DP) in the SC design. Therefore, the paper aims at presenting a novel framework to optimise LASC design while fulfilling the aforementioned gaps. The first step utilises Lean tools to identify the optimal architecture of product families through the so-called Leagile bill-of-material in product design. This phrase intends to reduce the storage keeping unit of components (leaner) while increasing their combining ability in a wider range of new products (more agile). Meanwhile, the second stage outlines the preliminary configuration of the future supply chain and transforms it into the Lean system. Next, the supplier network of this chain is matched with the product structure. The last step formulates the issue in one mathematical model to define the optimal LASC’s configuration, which includes positioning the best DP in various delivery lead time. In discussing the obtained solutions, the article complements to the theoretical basis by examining the locations of DP corresponding to the product’s complexity. The whole framework is illustrated by one specific example and solved by Priority Generic Algorithm Meta-Heuristic, programed with MATLAB.","PeriodicalId":268888,"journal":{"name":"International Journal of Industrial Engineering and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128076095","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

Bankruptcy prediction for Japanese corporations using support vector machine, artiﬁcial neural network, and multivariate discriminant analysis 基于支持向量机、人工神经网络和多元判别分析的日本企业破产预测

International Journal of Industrial Engineering and Operations Management Pub Date : 2019-05-15 DOI: 10.46254/j.ieom.20190106

Matsumaru Masanobu, Kaneko Shoichi, Katagiri Hideki, Kawanaka Takaaki

{"title":"Bankruptcy prediction for Japanese corporations using support vector machine, artiﬁcial neural network, and multivariate discriminant analysis","authors":"Matsumaru Masanobu, Kaneko Shoichi, Katagiri Hideki, Kawanaka Takaaki","doi":"10.46254/j.ieom.20190106","DOIUrl":"https://doi.org/10.46254/j.ieom.20190106","url":null,"abstract":"This study predicted the bankruptcy risk of companies listed in Japanese stock markets for the entire industry and individual industries using multiple discriminant analysis (MDA), artificial neural network (ANN), and support vector machine (SVM) and compared the methods to determine the best one. The financial statements of the companies listed in the Tokyo Stock Exchange in Japan were used as data. The data of 244 companies that went bankrupt between 1991 and 2015 were used. Additionally, the data of 64,708 companies that did not go bankrupt between 1991 and 2015 (24 years) were used. The data was acquired from the Nikkei NEEDS database. It was found from the results of empirical analysis that the SVM is more accurate than the other models in predicting the bankruptcy risk of companies. In the ANN analysis and MDA, bankruptcy prediction could be made accurately only for some individual industries. In contrast, the SVM could predict the bankruptcy risk of companies almost perfectly for either entire and individual industries. This bankruptcy prediction model can help customers, investors, and financiers prevent losses by focusing on the financial indicators before finalizing transactions.","PeriodicalId":268888,"journal":{"name":"International Journal of Industrial Engineering and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630157","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

Real Options Framework for Dealing with Uncertainty in Project Management: A Moroccan Infrastructure Project 处理项目管理不确定性的实物期权框架:一个摩洛哥基础设施项目

International Journal of Industrial Engineering and Operations Management Pub Date : 2019-05-15 DOI: 10.46254/j.ieom.20190105

Jihane Gharib, A. Berrado, L. Benabbou

{"title":"Real Options Framework for Dealing with Uncertainty in Project Management: A Moroccan Infrastructure Project","authors":"Jihane Gharib, A. Berrado, L. Benabbou","doi":"10.46254/j.ieom.20190105","DOIUrl":"https://doi.org/10.46254/j.ieom.20190105","url":null,"abstract":"The Real Options Valuation allows for the consideration of possible options that are instinctively embedded in investment projects, in which the decision-makers have the flexibility to respond to the outcome of uncertainty. The business managers’ abilities to react to future market conditions tend to impact the value of the investment project by maintaining or improving the upside potential and limiting the downside loss. This process must be regulated by a decision analysis model, capable of capturing the particularities of each project.\u0000This paper presents detailed literature review of the real options, includes their area of applications in the literature, then proposes a framework to ease the understanding and the use of this method. Later, a case study of a Moroccan infrastructure project, that had already undergone an evaluation, is outlaid. The paper fully addresses the gaps of the previous study, provides a corrected model for an improved valuation of this project and a suitable use of real options. It also illustrates its application and analyzes the obtained results.","PeriodicalId":268888,"journal":{"name":"International Journal of Industrial Engineering and Operations Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133515622","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