2015 International Conference on Industrial Engineering and Operations Management (IEOM)最新文献_第2页

Dual cycle mode scheduling of internal transfer in container terminals using a Genetic Algorithm 基于遗传算法的集装箱码头内部转运双周期调度

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093831

G. Elnaggar, Y. Abouelseoud, M. Fors

引用次数: 0

Implementing BORA in oil and gas process case study:Algerian industry 在油气过程中实施BORA的案例研究:阿尔及利亚工业

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093840

Mouloud Bourareche, R. Nait-Said, N. Ouazraoui

{"title":"Implementing BORA in oil and gas process case study:Algerian industry","authors":"Mouloud Bourareche, R. Nait-Said, N. Ouazraoui","doi":"10.1109/IEOM.2015.7093840","DOIUrl":"https://doi.org/10.1109/IEOM.2015.7093840","url":null,"abstract":"This paper intends to present and implement a Barrier and Operational Risk Analysis (BORA) approach in oil and gas process in Algerian industry. This recent approach, despite of its analysis which based on the basic and classical methods such as barrier block diagrams, fault trees (FT) and influence diagrams. It is considered very suitable and practical in terms of decisionmaking as regards to risk analysis. In fact, Barrier block diagrams are applied to illustrate the accident scenarios including the functioning of safety barriers. Fault trees are used to analyze the performance of safety barriers. While the influence diagrams are used in order to analyze the effects of risk influencing factors (RIFs) on the initiating event (IE) and basic events relating to safety barriers. This study aims at showing: (1) the applicability and feasibility of BORA as approach in oil and gas process in Algerian industry, and(2) the advantages and limitations of its implementation concerning the lack of information and the use expert judgment for quantifying the risk influencing factors of each initiating and basic events. At last, some perspectives about these limitations were presented in order to improve this approach. For that, BORA is applied on an operational process, a combustible gas balloon (G01-VN-45-01) within the unit of gas treatment (UTGA), Sonatrach, Algeria).","PeriodicalId":410110,"journal":{"name":"2015 International Conference on Industrial Engineering and Operations Management (IEOM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129002860","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

Mental Model Moderation, Modification and Managing (5M) framework a system dynamics and Brunswikian Lens model approach to complex decision making 心理模型调节、修正和管理(5M)框架:复杂决策的系统动力学和布伦斯基模型方法

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093907

W. E. Hachem, Joseph Khoury, R. Harik

引用次数: 1

Collaborative processes within virtual manufacturing business networks: How SMEs can be benefited? 虚拟制造业务网络中的协作流程:中小企业如何从中受益?

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093699

A. Shamsuzzoha, P. Helo

{"title":"Collaborative processes within virtual manufacturing business networks: How SMEs can be benefited?","authors":"A. Shamsuzzoha, P. Helo","doi":"10.1109/IEOM.2015.7093699","DOIUrl":"https://doi.org/10.1109/IEOM.2015.7093699","url":null,"abstract":"Business collaboration in the form of virtual factory is nowadays considering as one of the critical factor in the manufacturing community, especially within small and medium size enterprises (SMEs). In such an environment, it is very important to deal with accompanying process details within virtual factory environment. This research articulates fundamental concepts of the virtual business network in the form of plug-and-play virtual factory, where both intra and inter-organizational processes are defined for the purpose to execute virtual collaboration. Different phases of virtual factory and its associated process steps are defined with necessary annotations. All such business processes as required to execute the virtual factory are exclusively successfully. Specific example of the virtual factory's monitoring process is illustrated and highlighted with the help of user interface portal known as `Dashboard'. The functionality and importance of this dashboard user interface layer is presented with its inherent features and implementation perspectives. This paper is concluded with future research directions.","PeriodicalId":410110,"journal":{"name":"2015 International Conference on Industrial Engineering and Operations Management (IEOM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129843712","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

Feasibility of installing wind turbines for electricity generation in Jarandagh, Iran 在伊朗Jarandagh安装风力涡轮机发电的可行性

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093791

A. Mostafaeipour, Kasra Mohammadi

引用次数: 6

An application of “Neuro-Logit” new modeling tool in corporate financial distress diagnostic “neurologit”新建模工具在企业财务困境诊断中的应用

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093892

Waleed E. Almonayirie

{"title":"An application of “Neuro-Logit” new modeling tool in corporate financial distress diagnostic","authors":"Waleed E. Almonayirie","doi":"10.1109/IEOM.2015.7093892","DOIUrl":"https://doi.org/10.1109/IEOM.2015.7093892","url":null,"abstract":"During the last decades and recession of 2007-2009 witnessed many global financial crises. Consequently, this research represents a proactive study via introducing new modeling tool; in order to diagnose the financial distress and assess its probability of occurrence. The Neuro-Logit is a new approach for diagnosis, prediction and forecasting corporate financial distress. This tool acts as Logit (Logistic Regression Analysis), but the equations are built based on the basic algorithm of ANN (Artificial Neural Network). ANN and Logit are widely used as modeling tools in many business applications; Neuro-Logit model reduces most of ANN and Logit limitations. The sample in this research has been drawn from the available financial statements (Financial Ratio-Based Model) that are belonged to most active non-financial firms in Egyptian stock markets. The observations are quarterly basis observations, covering six-year time period (2004-2009). The overall results show that Neuro-Logit model has superior outcome comparing to legacy Logit model, where the overall classification accuracy rate almost 86% with Type I Error 10.13%, 85.33% harmonic mean between Recall and Precision values and also good Kappa coefficient (0.7169) and Matthew Correlation Coefficient (0.7217). The paper revolves the diagnosing the financial health of the firms, and is an extension for the latest Egyptian model in 2007 which concerns with six-year span 2000-2005. The time span of the paper for model building is three-year (2005-2007) which is covering prior-recession time. The paper can be considered as second trial of supervised financial distress prediction model and the fourth Egyptian model with superior outcome supporting to be recommended in corporate financial failure assessment and diagnosis. Also the research is presenting empirically an innovative modeling approach, where the ANN is used as statistical tool.","PeriodicalId":410110,"journal":{"name":"2015 International Conference on Industrial Engineering and Operations Management (IEOM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129183917","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

Selecting warehouse location by means of the balancing and ranking method with an interval approach 采用区间均衡排序法进行仓库选址

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093911

Behnam Malmir, Rahim Moein, S. K. Chaharsooghi

{"title":"Selecting warehouse location by means of the balancing and ranking method with an interval approach","authors":"Behnam Malmir, Rahim Moein, S. K. Chaharsooghi","doi":"10.1109/IEOM.2015.7093911","DOIUrl":"https://doi.org/10.1109/IEOM.2015.7093911","url":null,"abstract":"Selecting the proper warehouse location has been always one of the most important and strategic challenges in the optimization process of a logistics system. Such decisions have a great importance for companies because they are costly and difficult to reverse, and entail a long term commitment. Many quantitative and qualitative factors affect the selection of the warehouse location as a long term decision. A new balancing and ranking method combined with an interval data approach has been presented in this paper for solving a warehouse location selection problem. This method involves a three-step procedure to derive an overall complete final order of the warehouses which are already selected for the decision making. The procedure involves the definition of an outranking matrix based on the criteria values for all the available warehouse locations while taking into account the frequency of superiority of one location over others. The ordering of the warehouse locations has been performed based on the information of an advantages-disadvantages table, the distance travelled after final balancing, and the provisional order of locations. This is referred to as the triangularisation. It should be noted that unlike other MCDM models, the proposed method does not require weights for the decision making criteria. In addition, the proposed approach is much more flexible than the conventional methods in some other aspects. To demonstrate the procedural implementation of the proposed method and illustrate its effectiveness, it was applied to a case study and the results are evaluated and verified.","PeriodicalId":410110,"journal":{"name":"2015 International Conference on Industrial Engineering and Operations Management (IEOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130629567","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: 7

e-commerce cloud: Opportunities and challenges 电子商务云:机遇与挑战

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093867

Mariam Al-Jaberi, N. Mohamed, J. Al-Jaroodi

引用次数: 15

Toward a projection model for estimation of end of life aircrafts 一种用于估计飞机寿命终结的投影模型

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093703

S. Keivanpour, D. Ait-kadi, C. Mascle

引用次数: 4

Increasing productivity in ETO construction projects through a lean methodology for demand predictability 通过需求可预测性的精益方法提高ETO建设项目的生产率

2015 International Conference on Industrial Engineering and Operations Management (IEOM) Pub Date : 2015-03-03 DOI: 10.1109/IEOM.2015.7093734

P. Dallasega, E. Rauch, D. Matt, Andrea Fronk

{"title":"Increasing productivity in ETO construction projects through a lean methodology for demand predictability","authors":"P. Dallasega, E. Rauch, D. Matt, Andrea Fronk","doi":"10.1109/IEOM.2015.7093734","DOIUrl":"https://doi.org/10.1109/IEOM.2015.7093734","url":null,"abstract":"Construction is one of the main sectors of the economy, globally. In Italy this sector is highly fragmented and consists mostly of small and medium-sized enterprises (SMEs). During a traditional construction project many different disciplines interact causing high coordination efforts. The main problem is a weak planning of on-site construction processes. Especially shared resources (like tower cranes) are often the bottleneck processes on-site. The paper presents a methodology for demand predictability which is based on the Rolling-Forecast approach and consists of three modules: “Planning”, “Actualization” and “Progress”. Within the module “Planning”, tasks are assigned following budget specifications. By the module “Actualization” the deviation from budget is measured. By the module “Progress” the construction progress is measured and a reliable budget monitoring is performed. For aligning the engineering, prefabrication and installation of Engineer-to-Order (ETO) components a Constant Work in Process (CONWIP) control loop is described. For increasing the productivity on-site a continuous improvement process which is based on the plan-do-check-action (PDCA) cycle is presented. A practical implementation of the methodology for demand predictability within the expansion project of the central hospital of Bolzano in North Italy is included. Scientific findings up to now and the expected outcomes are presented.","PeriodicalId":410110,"journal":{"name":"2015 International Conference on Industrial Engineering and Operations Management (IEOM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125709566","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: 29