DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME

<p align="justify">In manufacturing company, quality control system is used to ensure customer satisfaction or became feedback for the production process. Acceptance sampling is one of components of quality control system and use for item acceptance inspection. Quality control system...

Full description

Saved in:
Bibliographic Details
Main Author: BINOWO NIM 13414057, ADITYA
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/25019
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:25019
spelling id-itb.:250192018-10-01T09:46:48ZDEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME BINOWO NIM 13414057, ADITYA Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/25019 <p align="justify">In manufacturing company, quality control system is used to ensure customer satisfaction or became feedback for the production process. Acceptance sampling is one of components of quality control system and use for item acceptance inspection. Quality control system can be used for differentiate between items that can be accepted or rejected. Acceptance sampling plan based on perfect inspection always use by practitioner in industry even though inspection under perfect condition is not free of error at all. Development of mathematic model with consideration of human error need to be done for acceptance sampling plan. <br /> <br /> <br /> <br /> Mathematic model that is developed by the writer is taken from model made by Collins, Case, and Bennet on 1973. The model take human error as consideration by measuring human error rate type I (e1) and type II (e2). Human error influence defect product proportion (p) so it change into apparent defect product proportion (pe). In advance, SATO model that have been developed by Drury in 1994 take consideration of inspection time into inspection activity that influence human error rate type II. Thus, the model change the formula into ]. Sampling plan with human error then compare with perfect inspection sampling plan by sampling plan performance measure and economic effect. <br /> <br /> <br /> <br /> The result of this study is that there are differences between perfect inspection with the one that consider human error. Higher level of human error has effect on lower acceptance probability of the lot that increase the cost of sampling plan. Furthermore, longer inspection time has effect on lower acceptance probability of the lot, but the result is approaching sampling plan without human error type II. In term of cost, longer inspection time will decrease the cost of sampling plan until the cheapest point. After that, the cost of sampling plan will increase as inspection time grow longer.<p align="justify"> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">In manufacturing company, quality control system is used to ensure customer satisfaction or became feedback for the production process. Acceptance sampling is one of components of quality control system and use for item acceptance inspection. Quality control system can be used for differentiate between items that can be accepted or rejected. Acceptance sampling plan based on perfect inspection always use by practitioner in industry even though inspection under perfect condition is not free of error at all. Development of mathematic model with consideration of human error need to be done for acceptance sampling plan. <br /> <br /> <br /> <br /> Mathematic model that is developed by the writer is taken from model made by Collins, Case, and Bennet on 1973. The model take human error as consideration by measuring human error rate type I (e1) and type II (e2). Human error influence defect product proportion (p) so it change into apparent defect product proportion (pe). In advance, SATO model that have been developed by Drury in 1994 take consideration of inspection time into inspection activity that influence human error rate type II. Thus, the model change the formula into ]. Sampling plan with human error then compare with perfect inspection sampling plan by sampling plan performance measure and economic effect. <br /> <br /> <br /> <br /> The result of this study is that there are differences between perfect inspection with the one that consider human error. Higher level of human error has effect on lower acceptance probability of the lot that increase the cost of sampling plan. Furthermore, longer inspection time has effect on lower acceptance probability of the lot, but the result is approaching sampling plan without human error type II. In term of cost, longer inspection time will decrease the cost of sampling plan until the cheapest point. After that, the cost of sampling plan will increase as inspection time grow longer.<p align="justify">
format Final Project
author BINOWO NIM 13414057, ADITYA
spellingShingle BINOWO NIM 13414057, ADITYA
DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME
author_facet BINOWO NIM 13414057, ADITYA
author_sort BINOWO NIM 13414057, ADITYA
title DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME
title_short DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME
title_full DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME
title_fullStr DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME
title_full_unstemmed DEVELOPMENT OF MATHEMATIC MODELS FOR SINGLE SAMPLING PLAN BY CONSIDERING INSPECTION TIME
title_sort development of mathematic models for single sampling plan by considering inspection time
url https://digilib.itb.ac.id/gdl/view/25019
_version_ 1822020566075310080