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Automatic Estimate of OEE Considering Uncertainty

Zhang Heng, Li Aiping, Xu Liyun, Giovanni Moroni
2019 Procedia CIRP  
Two methods based on fuzzy arithmetic and interval arithmetic respectively are proposed to manage the uncertainty in estimating the production speed, the stoppage duration, and the quality losses.  ...  Two methods based on fuzzy arithmetic and interval arithmetic respectively are proposed to manage the uncertainty in estimating the production speed, the stoppage duration, and the quality losses.  ...  to manage the uncertainties in estimating.  ... 
doi:10.1016/j.procir.2019.03.167 fatcat:hhwalcqkxzf4rllgj5zegbbbeu

Estimating the functional relationships for quality function deployment under uncertainties

Richard Y.K. Fung, Yizeng Chen, Jiafu Tang
2006 Fuzzy sets and systems (Print)  
In this paper, an asymmetric fuzzy linear regression approach is proposed to estimate the functional relationships for product planning based on QFD.  ...  Owing to the typical vagueness or imprecision of functional relationships in a product, product planning is becoming more difficult, particularly in a fuzzy environment.  ...  of customer satisfaction within limited recourses is usually the focus in the HOQ.  ... 
doi:10.1016/j.fss.2005.05.032 fatcat:66cx5xjsyzc67crnd7x5a2u2qu

Fuzzy Optimization Algorithm for Software Cost Estimation

2020 International Journal of Engineering and Advanced Technology  
Fuzzy sets have been utilized for displaying uncertainty and imprecision in estimation of effort while PSO has been utilized for tuning parameters.  ...  In the fuzzy correlation model, fuzzy sets are used to describe both the clear cut and the arithmetical data.  ...  In the current work fuzzy sets are used for exhibiting uncertainty and imprecision in a compelling way.  ... 
doi:10.35940/ijeat.b4537.029320 fatcat:6sqmcn6xdbhwhchbnrcu5zzm3e

Application of Fuzzy Sets to the Expert Estimation of Scrum-Based Projects

Rola, Kuchta
2019 Symmetry  
of art in Scrum estimation: the usage of fuzzy numbers and strict rules for consensus forming, combined with a space for human interaction.  ...  The paper is basically dedicated to the problem of effort estimation for the Product Backlog items of IT projects led accordingly to the Scrum framework.  ...  express their estimations of product backlogs in the form of fuzzy numbers.  ... 
doi:10.3390/sym11081032 fatcat:nnpxcdxhfngjxdsz34kw3ccqt4

Automation of Measuring Actual Productivity of Earthwork in Urban Area, a Case Study from Montreal

Adel Alshibani
2018 Buildings  
It integrates the GPS and fuzzy set theory as an alternate effective methodology for measuring actual onsite productivity during the construction stage in an urban area.  ...  The productivity estimated by the developed methodology was compared with that provided by a simulation-based model, in which the collected GPS data are used to define the duration of earthmoving moving  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/buildings8120178 fatcat:nztufmkf7fe5jidoa2jfif2g4e

Determining production level under uncertainty using fuzzy simulation and bootstrap technique, a case study

Mohammadreza Hamidi, Kamran Shahanaghi, Armin Jabbarzadeh, Ehsan Jahani, Zahra Pousti
2017 Journal of Industrial Engineering International  
To solve the problem we have simulated the line and because of the uncertainty in the times, fuzzy simulation is considered. Required fuzzy numbers are estimated by the use of bootstrap technique.  ...  In every production plant, it is necessary to have an estimation of production level. Sometimes there are many parameters affective in this estimation.  ...  Uncertainties of our f inferences can be measured if we can estimate. There are ways to construct a nonparametric f. estimator of (in essence) from the sample data.  ... 
doi:10.1007/s40092-017-0194-x fatcat:lb76o5ddyvba5c5s27effsto44


2018 Poljoprivreda i Šumarstvo  
The factors, which cause the biggest uncertainty in achieving returns in agricultural production, can be quantified by the valuation method.  ...  The selection of agricultural plants for sowing and planning the economic success in production is done in conditions of uncertainty and high risk.  ...  These results represent the estimate of crop uncertainty. The better result is, the bigger uncertainty in realizing the planned yield, and reversely.  ... 
doi:10.17707/agricultforest.64.4.19 fatcat:m7hyx2amqfg7djkfdh6eg3knua

Composite Criticality in Machinery Fleet Management of Construction Projects

John-Paris Pantouvakis, Alexander Maravas, L. Nazarko, J.-P. Pantouvakis, B.T. Kalsaas, C.-H. Ko
2020 MATEC Web of Conferences  
Hence, to address this issue, uncertainty in fleet productivity is modelled with fuzzy set theory.  ...  In this context, the notion of composite criticality under which the productivity of a fleet depends on more than one type of machinery because of the fluctuations of the individual productivities is introduced  ...  Also, taking into account issues such as productivity, machine reliability, worker performance, and/or errors in estimating the scope of work, it is evident that there are significant limitations to the  ... 
doi:10.1051/matecconf/202031202003 fatcat:qaoxl4ouhfampiqwuh5zktucfi

Understanding the Impact of Subjective Uncertainty on Architecture and Supplier Identification in Early Complex Systems Design

Yun Ye, Marija Jankovic, Gül E. Kremer
2015 ASCE-ASME J of Risk & Uncertainty in Engineering SystemsPart B: Mechanical Engineering  
In order to understand how expert estimation uncertainties(especially subjective uncertainty) influence the architecture and supplier identification results achieved through ASIT, a comprehensive study  ...  Finally,the consideration of subjective uncertainty in early conceptual design as well as other design stages is discussed.  ...  As per the discussion above, the most important uncertainty caused by expert estimation in ASIT is the subjective (epistemic) uncertainty, which is caused by the limited information in early design.  ... 
doi:10.1115/1.4030463 fatcat:a3z67uxsebbujmqwthvz5gfij4


2007 Issues in Information Systems  
The Maxim of Uncertainty in Software Engineering (MUSE) states that uncertainty is inherent and inevitable in software development processes and products.  ...  The above problems could be easily countered by the Fuzzy logic, because fuzzy logic has ability to deal with uncertainty and multi valued logic e.g. an entity in a problem domain has 0.5 possibility or  ...  But there are certain limitations with this approach of estimating size.  ... 
doi:10.48009/2_iis_2007_238-244 fatcat:gwcfwkmltzemlch4h5gadyetgm

Cost–volume–profit analysis under uncertainty: a model with fuzzy estimators based on confidence intervals

Konstantinos A. Chrysafis, Basil K. Papadopoulos
2009 International Journal of Production Research  
Furthermore, we consider conditions of "complete" uncertainty when a company needs to chose between two products and we express the profits and the risk via fuzzy estimators.  ...  In this paper we express the uncertainty existing in CVP analysis via a new method which constructs fuzzy estimators for the parameters of a given probability distribution function, using statistical data  ...  Here we use the fuzzy estimators (here we use the a-cuts in order to realize the operations of fuzzy numbers) in order to express the uncertainty of these parameters.  ... 
doi:10.1080/00207540802112660 fatcat:5hu5wbvbwffilg7eg26qqvll64

Analyzing Agricultural Crop Production and their Uncertainty Using Linear Regression and Fuzzy Logic

Om Prakash Singh, Bijay Kumar Mandal, Sunil Kumar
2021 IARJSET  
The uncertainty and its prediction tend to be complex phenomena. The primary resources of uncertainty are randomness and fuzziness.  ...  All such parameters make the environment of uncertainty regarding crops production.  ...  machine, K-nearest neighbors, Fuzzy logic, Fuzzy Neural Network and Fuzzy regression for the prediction of uncertainties with their drawbacks and limitations.  ... 
doi:10.17148/iarjset.2021.8855 fatcat:ghes6dm3zbanlb2bkrvibsh7k4

Fuzzy Xbar and S Control Charts Based on Confidence Intervals

2021 Journal of Advanced Research in Natural and Applied Sciences  
Control limits and samples are presented by fuzzy numbers which ensures to maintain fuzziness in control charts.  ...  The core of the approach depends on the combination of parametric interval estimation and fuzzy statistics.  ...  The membership degree is not ranged in interval [0, 1], which means sup( ̅ [α Fuzzy upper and lower control limits are the fuzzy estimates of B6and B5, where B5 and B6 are the Shewhart control chart  ... 
doi:10.28979/jarnas.890356 fatcat:rwzqdduworh2znnjvytrcesbvy

Performance Evaluation of Software Effort Estimation using Fuzzy Analogy based on Complexity

S. Malathi, S. Sridhar
2012 International Journal of Computer Applications  
The performance of linguistic values in fuzzy sets has improved in the proposed method.  ...  The proposed fuzzy analogy method is a new approach based on reasoning by analogy for handling both numerical and categorical variables where the uncertainty and imprecision solution is ascertained by  ...  uncertainty in the steps to be followed.  ... 
doi:10.5120/5026-7172 fatcat:b42qeltwxnfp7j4w5svqdvuaye

Optimization of fuzzy analogy in software cost estimation using linguistic variables [article]

S. Malathi, S. Sridhar
2012 arXiv   pre-print
The imprecise nature of such value represents the uncertainty and vagueness in their elucidation.  ...  In analogy concept, there is deficiency in handling the datasets containing categorical variables though there are innumerable methods to estimate the cost.  ...  Another important aspect of effort estimation is the fuzzy logic approach. Ahmeda and Muzaffar [9] dealt with the imprecision and uncertainty in the inputs of effort prediction.  ... 
arXiv:1209.2553v1 fatcat:hkfqkczuyrbtpaoh4xqo2xzkdm
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