Fuzzy Double Variable Sampling Plan under Uncertainty
نویسندگان
چکیده مقاله:
Double sampling plan is an examination with a certain parameter, so it cannot decide about manufactured products whose portion parameter ( ) is not certain. The main goal of this survey is to introduce double variable plan when is indefinite to examine manufacturing products when concerned characteristics are normally distributed. Plan parameters are achieved by an optimization manner. Sum of fuzzy customer and producer’s risks and contract’s commitments are assumed as a goal function and restrictions, respectively, in this manner. Optimum values of parameters are provided to be employed in industry for variant compositions of demands. A simulation study is also conducted to represent that the presented approach becomes traditional one as is not imprecise. In addition, conclusions display that the proposed method is more economical than the existing scheme. At the end, an industrial example is given in real situations.
منابع مشابه
Acceptance Double Sampling Plan using Fuzzy Poisson Distribution
Abstract: All classical acceptance sampling plans were constructed with the proportion of defective that is crisp value. In the manufacturing processes, this parameter in a production lot may not be precis ely known. Hence it is meaningful to treat such parameter as fuzzy quantities. In this paper we have argued for the acceptance double sampling plan when the proportion of defective items is a...
متن کاملSequential Sampling Plan with Fuzzy Parameters
In this paper a new sequential sampling plan is introduced in which the acceptable quality level (AQL) and the lot tolerance percent defective (LTPD) are a fuzzy number. This plan is well defined, since, if the parameters are crisp, it changes to a classical plan. For such a plan, a particular table of rejection and acceptance is calculated and compared with the classical one. Keywords : St...
متن کاملSequential sampling plan using fuzzy SPRT
In this paper we introduce a new sequential sampling plan based on sequential probability ratio test for fuzzy hypotheses testing. In order to deal with uncertainty happened, the triangular fuzzy number (TFN) is used to express the fuzzy phenomenon of the sampling plan’s parameters. In this plan the acceptable quality level (AQL) and the lot tolerance percent defective (LTPD) are TFN. For such ...
متن کاملPlan Execution under Resource Consumption Uncertainty
This paper examines the problem of executing plans where there is uncertainty about resource consumption values. The amount of time, fuel or any other resource used by an action in a plan is traditionally viewed as an absolute value during a planning phase, but can be more accurately represented by a distribution of values. Current methods for plan execution cannot deal with this type of uncert...
متن کاملAssessment of Operation Plan Performance Under Uncertainty
A plan of military air operations contains a number of sequential and/or parallel tasks. Given information of the battlefield situation (including the status estimate of tasks) during the execution of a plan, it is necessary to assess the situation impact on the plan, especially whether the entire plan would be delayed. Plan performance assessment fuses the status estimate of tasks into the sta...
متن کاملImportance Sampling for Online Planning under Uncertainty
The partially observable Markov decision process (POMDP) provides a principled general framework for robot planning under uncertainty. Leveraging the idea of Monte Carlo sampling, recent POMDP planning algorithms have scaled up to various challenging robotic tasks, including, e.g., real-time online planning for autonomous vehicles. To further improve online planning performance, this paper pres...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 4 شماره 2
صفحات 83- 98
تاریخ انتشار 2019-05-01
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023