Joint design of control chart, production cycle length, and maintenance schedule for imperfect manufacturing systems with deteriorating products under stochastic shift size

2021 ◽  
Author(s):  
Ali Salmasnia ◽  
Zahra Hajihosseini ◽  
Mohammad Reza Maleki
Keyword(s):  
Control Chart ◽  
Cycle Length ◽  
Manufacturing Systems ◽  
Production Cycle ◽  
Joint Design ◽  
Maintenance Schedule

scholarly journals Oversizing Thread Diagnosis in Tapping Operation

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 537
Author(s):  
Alain Gil Del Val ◽  
Fernando Veiga ◽  
Mariluz Penalva ◽  
Miguel Arizmendi
Keyword(s):  
Control Chart ◽  
Manufacturing Systems ◽  
Spindle Motor ◽  
Multivariate Statistical ◽  
Statistical Process ◽  
Knowing That ◽  
On Line ◽  
High Level ◽  
Screw Threads ◽  
Multivariate Control

Automotive, railway and aerospace sectors require a high level of quality on the thread profiles in their manufacturing systems knowing that the tapping process is a complex manufacturing process and the last operation in a manufacturing cell. Therefore, a multivariate statistical process control chart, for each tap, is presented based on the principal components of the torque signal directly measured from spindle motor drive to diagnosis the thread profile quality. This on-line multivariate control chart has implemented an alarm to avoid defected screw threads (oversized). Therefore, it could work automatically without any operator intervention assessing the thread quality and the safety is guaranteed during the tapping process.

scholarly journals EGG PRODUCTION CURVE OF RHODE ISLAND RED CHICKENS

2021 ◽  
Vol 28 (1) ◽  
pp. 78-83
Author(s):  
O. O. ONI ◽  
N. I. DIM ◽  
B. Y. ABUBAKAR ◽  
O. E. ASIRIBO
Keyword(s):  
Linear Regression ◽  
Mathematical Models ◽  
Rhode Island ◽  
Cycle Length ◽  
Egg Production ◽  
Goodness Of Fit ◽  
Production Data ◽  
Production Cycle ◽  
Breeder Hens ◽  
The Mean

Data on the monthly egg production of a strain of Rhode Island chickens (500 breeder hens) were used to test the goodness of fit of six mathematical models, viz; Exponential, Parabolic exponential, Wood's Gamma type and modified Gamma type by McNally, Inverse polynomial and Linear regression. Egg production was summarized for each hen into 28-d periods, starting from the day of firts egg. The hens were classified into different production cycle length based on the number of 28-d periods. The models were fitted to the mean results obtained for periods within groups of hens. The effect of cycle length on goodness of fit was also examined separately for the 'best' three models with highest R2 values. The egg production cycle (i.e. number of 28-d periods) varied from 9 to 15 periods. Similarly, the coefficients of determination (R2) varied from 0.16 to 0.95 from fitting the models to mean egg production data for groups of hens. The results suggest that thye 'best' three models that were chosen fitted 52 week laying records quite well, judging from their respective R2, which were higherf for McNally (0.95) and Parabolic exponential (0.93) than for wood (0.75). Based on the goodness of fit to 52-week production record, the McNally model gave the best results. However, its suitability in predicting full year production from part year record needs to be further investigated.

Incorporation, Programming and Use of an ABB Robot for the Operations of Palletizing and Depalletizing at an Academic Research Oriented to Intelligent Manufacturing Cell

2013 ◽  
Vol 282 ◽  
pp. 127-132 ◽  
Author(s):  
Radovan Holubek ◽  
Karol Velíšek
Keyword(s):  
Intelligent Control ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Current Trend ◽  
Academic Research ◽  
Functional Condition ◽  
Intelligent Manufacturing ◽  
Production Cycle ◽  
Time Analysis ◽  
Assembly Cell

The current trend of the final product quality increasing is affected by time analysis of the entire manufacturing process The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings. Philosophy that we apply to solve the problem rise from intelligent assembly cell by building on our institute of manufacturing systems and applied mechanics Essential philosophy is integrate of interconnection between palletizing- depalletizing robot and Intelligent assembly system by the means mobile robot Robotino.

A Method for Maintenance Scheduling in Manufacturing Systems Based on TPM and MFOP

2010 ◽  
Vol 44-47 ◽  
pp. 404-408
Author(s):  
Jiang Long ◽  
Wei An Jiang
Keyword(s):  
Production Process ◽  
Manufacturing Systems ◽  
Maintenance Scheduling ◽  
New Method ◽  
Manufacturing Equipment ◽  
Maintenance Schedule ◽  
Optimal Maintenance

In order to improve the overall equipment effectiveness, a new method for maintenance scheduling in manufacturing systems using the philosophies of TPM and MFOP is presented in this paper，considering both the production process and maintenance operations of manufacturing equipment. An LCC analysis is also conducted for evaluating and searching for the optimal maintenance schedule.

Maintenance on Job Shop Industry: Review and Analysis

2016 ◽  
Vol 842 ◽  
pp. 365-372 ◽  
Author(s):  
Herman Budi Harja ◽  
Tri Prakosa ◽  
Yatna Yuwana Martawirya
Keyword(s):  
Manufacturing Systems ◽  
Job Shop ◽  
Flow Shop ◽  
Dynamic Condition ◽  
Maintenance Optimization ◽  
Reliability Growth ◽  
Monitoring Cost ◽  
Reliability Modeling ◽  
Maintenance Schedule ◽  
Reliability Improvement

This paper presents overviews about reliability and maintainability of equipment especially for job-shop manufacturing systems. The job shop industry has the characteristics of a more dynamic production than flow shop industries, where products with a variety of great but small amounts. Its dynamic condition certainly contributes directly to the failure rate and reliability growth of equipment. Therefore, proper maintenance should be done as the reliability improvement. Stages of reliability improvement are reliability modeling, reliability analysis and maintenance optimization. This stage is based on reliability growth of equipment that is indicated the deterioration process of failure components, it can be build from maintenance data history or condition data monitoring.. Cost is often considered in points of a maintenance schedule. This cost was affected by minimizing the negative effects of maintenance and maximizing the benefit of production. The attention at reliability and maintenance optimization is a well researches area until now. This paper presents a brief review of existing reliability and maintenance research. Several reliable methods in this area are discussed and maintenance on job-shop industry as future prospects is investigated. It is shown in this paper that some aspect in the area of maintenance on job-shop industry steel needs to be deeply developed.

scholarly journals Joint optimization of economic production quantity and preventive maintenance with considering multi-products and reserve time

2017 ◽  
Vol 10 (3) ◽  
pp. 431
Author(s):  
Xuejuan Liu ◽  
Binrong Wang
Keyword(s):  
Production Planning ◽  
Preventive Maintenance ◽  
Optimal Number ◽  
Production Cycle ◽  
Maintenance Schedule ◽  
Multiple Products ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Reserve Time

Purpose: We deal with the problem of the joint determination of optimal economic production quantity (EPQ) and optimal preventive maintenance (PM) for a system that can produce multiple products alternately. The objective is to find the optimal number of production cycles and the PM policy simultaneously by minimizing the cost model.Design/methodology/approach: Considering the products go through the system in a sequence and a complete run of all products forms a production cycle. In each cycle, beyond production time we also consider some reserve time for maintenance and setup, shortage and overproduction may occur. We study the integrated problem based on two PM policies, and explain the situation with the other PM policies. The delay – time concept is used to model PM decisions.Findings: Using the integrated EPQ and PM model, we can calculate the optimal production planning and PM schedule simultaneously, especially we consider multiple products in each production cycle, which is more practical and economic than previous works.Originality/value: In modern companies, the production planning and maintenance schedule share the same system, and traditional research about two activities is separated, that always generate conflicts, such as inadequate or excessive maintenance, and shortages, etc., so we develop the integrated EPQ and PM model to avoid these undesirable effects.

scholarly journals Maintenance schedule optimisation for manufacturing systems

2020 ◽  
Vol 53 (3) ◽  
pp. 319-324
Author(s):  
István Németh ◽  
Ádám Kocsis ◽  
Donát Takács ◽  
Basheer W. Shaheen ◽  
Márton Takács ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Maintenance Schedule

scholarly journals Determination of the optimal production cycle length from the financial aspect in poplar plantations on meadow semigley

2014 ◽  
pp. 87-104
Author(s):  
Ljiljana Keca
Keyword(s):  
Cycle Length ◽  
Net Present Value ◽  
Production Cycle ◽  
Optimal Production ◽  
Object A ◽  
Forestry Practices ◽  
Initial Hypothesis ◽  
Poplar Plantations ◽  
Method Of Assessment

Due to the trends in the consumption of wood and particularly s oft broadleaves, poplar cultivation gained importance in this country and worldwide during the last decade of the twentieth century. Many countries, primarily those with developed forestry (Canada, France, Italy, etc.), have recognized the importance of poplar cultivation in terms of production, economics and environmental protection. The aim of this study is to apply the method of assessment and the method of calculating the optimal production cycle length in order to determine the optimal production cycle length of poplar plantations in the studied localities of Ravni Srem (FE ?Sremska Mitrovica?) from an economic standpoint. The purpose of this research is to provide guidelines for forestry practices aimed at the improvement of the situation in the field of assessment of the optimal production cycle length in poplar plantations. The research object a re: the number of trees, volume of trees and other elements that will be quantified and numerically analyzed. The initial hypothesis of the study was that the production cycle length of poplar in the study area ranges from 10-20 years, depending on the soil type. The production cycle length of poplar in the study area ranges from 15-19 years. It was calculated using three methods: Mo, M1 and M2. The assessment based on the NPVs criterion determined a desired optimal production cycle length of about 16 years on meadow semigley. When the optimum production cycle length of Euro-American poplar is concerned, it is appropriate for the analyses to use the maximization of the average net present value.

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