On-line inventory cost minimization for make-to-stock manufacturing systems

2002 ◽  
Author(s):  
C.G. Panayiotou ◽  
C.G. Cassandras ◽  
Ping Zhang
Keyword(s):  
Manufacturing Systems ◽  
Cost Minimization ◽  
Inventory Cost ◽  
On Line ◽  
Make To Stock

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 A Comparison between Dedicated and Flexible Manufacturing Systems: Optimization and Sensitivity Analysis

2021 ◽  
Vol 40 (1) ◽  
pp. 130-139
Author(s):  
Abdul Salam Khan ◽  
Khawer Naeem ◽  
Raza Ullah Khan
Keyword(s):  
Sensitivity Analysis ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cost Minimization ◽  
Process Time ◽  
Future Research ◽  
Second Phase ◽  
Solution Approach ◽  
The Impact

An abrupt change requires a robust and flexible response from a manufacturing system. Dedicated Manufacturing System (DMS) has been a long practiced taxonomy for mass production and minimum varieties. In contrast, Flexible Manufacturing System (FMS) has been introduced for responding to quantity as well as variety issues. This study considers both production taxonomics by using a multi objective model of cost and time. An Integer Linear Programming (ILP) formulation is presented and subsequently validated. The analysis procedure is administered in two phases. In the first phase, comparison of production cost and process time in DMS and FMS is presented. The model is implemented by using an exact solution approach and results show that FMS is a viable option, compared to DMS, according to the criteria of cost, time, and productivity. In the second phase, sensitivity analysis is performed by using several FMS (n) and the impact of cells selection on the performance of system is studied. It is concluded that n=1 (single cell-based FMS) is more relevant for cost minimization; however, n = 6 is a suitable candidate for producing more quantity in given time horizon (process time minimization). Lastly, key findings are reported, and future research avenues are provided.

The Development of Production Monitoring Systems

1988 ◽  
Vol 202 (3) ◽  
pp. 177-184
Author(s):  
E T Ososanya ◽  
I T Franks
Keyword(s):  
Real Time ◽  
Computer Technology ◽  
Manufacturing Systems ◽  
Monitoring Systems ◽  
Manufacturing Plant ◽  
Considerable Potential ◽  
Development System ◽  
Plant Operations ◽  
On Line ◽  
Production Monitoring

Computer technology has given manufacturers the opportunity to monitor, on-line and in real-time, a wide variety of manufacturing systems. Such monitoring systems have considerable potential for expansion and development but need to take account of the special characteristics of particular manufacturing systems and how the information is to be used to best effect. This paper outlines the use of monitoring in the broad context of manufacturing plant operations and describes the design of a development system that will facilitate research into the effective application and improvement of monitoring systems.

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