Optimal Process Adjustment under Inspection Errors Considering the Cycle Time of Production
Authors
Abstract:
Process adjustment, also known as process targeting, is one of the classical problems in the field of quality control and production economics. In the process adjustment problem, it is assumed that process parameters are variables and the aim is to determine these parameters such that certain economic criteria are optimally satisfied. The aim of this paper is to determine the optimal process adjustment in a two-stage production system with rework loops. An absorbing Markov chain model is developed in which all items are inspected for conformance with their specification limits. The cycle time of production process is included in the model for optimizing total profit of the system. Also, effects of inspection errors are investigated.
similar resources
optimum process adjustment under inspection errors with considering the cycle time of production and two markets for the sale of goods
this paper is devoted to the study of determining optimal process mean in system production with the two markets for the sale of goods. in this paper, we developed an absorbing markov chain model in production systems where all items are inspected %100 for conformance with their specification limits. when the value of the quality characteristic of an item falls below a lower limit, the item is ...
full textOptimal Process Adjustment with Considering Variable Costs for Uni-variate and Multi-variate Production Process (RESEARCH NOTE)
This paper studies a single-stage production system, two-stage production system where specification limits are designed for inspection. When quality characteristics fall below a lower threshold or above an upper threshold, a decision is made to rework or scrap the item. The target is to determine the optimum target for a process based on rework or scrap costs. In contrast to previous studies, ...
full textOptimal Production and Inspection Strategy with Inspection Time and Reworking for a Deteriorating Process
The paper considers an integrated production, inspection, preventive maintenance, and inventory problem and determines the optimal inspection interval, inspection frequency, and production quantity yielding the maximum unit expected profit in an imperfect production process with inspection time and reworking. When the process in an out-of-control state produces a certain percentage of non-con...
full textSelf-correcting inspection procedure under inspection errors
IRAD BEN-GAL*, YALE T. HERER and TZVI RAZ Department of Industrial Engineering, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel E-mail: [email protected] Faculty of Industrial Engineering and Management, Technion–Israel Institute of Technology, 32000 Haifa, Israel E-mail: [email protected] Faculty of Management, Tel Aviv University, Ramat Aviv, Tel Aviv 69978, Israel E-mail: tzvira...
full textA Markov Model to Determine Optimal Equipment Adjustment in Multi-stage Production Systems Considering Variable Cost
Our aim is to maximize expected profit per item of a multi-stage production system by determining best adjustment points of the equipments used based on technical product specifications defined by designer. In this system, the quality characteristics of items produced should be within lower and higher tolerance limits. When a quality characteristic of an item either falls beneath the lower li...
full textProduction lot sizingwith process deterioration andmachine breakdown under inspection schedule
The paper develops integrated production, inventory and maintenance models for a deteriorating production system in which the production facility may not only shift from an ‘in-control’ state to an ‘out-of-control’ state but also may break down at any random point in time during a production run. In case of machine breakdown, production of the interrupted lot is aborted and a new production lot...
full textMy Resources
Journal title
volume 4 issue 1
pages 25- 40
publication date 2019-06-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023