Production control of manufacturing systems with production rate-dependent failure rates

1994 ◽  
Vol 39 (4) ◽  
pp. 889-895 ◽  
Author(s):  
G. Liberopoulos ◽  
M. Caramanis
Keyword(s):  
Production Rate ◽  
Manufacturing Systems ◽  
Production Control ◽  
Failure Rates ◽  
Rate Dependent ◽  
Dependent Failure

scholarly journals Stochastic optimal control of manufacturing systems under production-dependent failure rates

2014 ◽  
Vol 150 ◽  
pp. 174-187 ◽  
Author(s):  
Kouedeu Annie Francie ◽  
Kenne Jean-Pierre ◽  
Dejax Pierre ◽  
Songmene Victor ◽  
Polotski Vladimir
Keyword(s):  
Optimal Control ◽  
Stochastic Optimal Control ◽  
Manufacturing Systems ◽  
Failure Rates ◽  
Dependent Failure

scholarly journals Queue Length Forecasting in Complex Manufacturing Job Shops

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 322-338
Author(s):  
Marvin Carl May ◽  
Alexander Albers ◽  
Marc David Fischer ◽  
Florian Mayerhofer ◽  
Louis Schäfer ◽  
...  
Keyword(s):  
Operations Management ◽  
Queue Length ◽  
Manufacturing Systems ◽  
Production Control ◽  
Data Sets ◽  
Job Shops ◽  
Static Data ◽  
Queue Lengths ◽  
Operational Excellence

Currently, manufacturing is characterized by increasing complexity both on the technical and organizational levels. Thus, more complex and intelligent production control methods are developed in order to remain competitive and achieve operational excellence. Operations management described early on the influence among target metrics, such as queuing times, queue length, and production speed. However, accurate predictions of queue lengths have long been overlooked as a means to better understanding manufacturing systems. In order to provide queue length forecasts, this paper introduced a methodology to identify queue lengths in retrospect based on transitional data, as well as a comparison of easy-to-deploy machine learning-based queue forecasting models. Forecasting, based on static data sets, as well as time series models can be shown to be successfully applied in an exemplary semiconductor case study. The main findings concluded that accurate queue length prediction, even with minimal available data, is feasible by applying a variety of techniques, which can enable further research and predictions.

Optimal control of production-dependent failure-prone manufacturing systems

1999 ◽  
Vol 32 (2) ◽  
pp. 237-242
Author(s):  
Dong-Ping Song ◽  
Wei Xing ◽  
You-Xian Sun ◽  
Tie-Jun Wu
Keyword(s):  
Optimal Control ◽  
Manufacturing Systems ◽  
Dependent Failure

MINIMUM AVERAGE COST PRODUCTION PLANNING IN STOCHASTIC MANUFACTURING SYSTEMS

1998 ◽  
Vol 08 (07) ◽  
pp. 1251-1276 ◽  
Author(s):  
SURESH P. SETHI ◽  
HANQIN ZHANG ◽  
QING ZHANG
Keyword(s):  
Control Problem ◽  
Production Planning ◽  
Average Cost ◽  
Production Cost ◽  
Manufacturing Systems ◽  
Production Control ◽  
Production Capacity ◽  
Production Rates ◽  
Planning Problems

Recently, the production control problem in stochastic manufacturing systems has generated a great deal of interest. The goal is to obtain production rates to minimize total expected surplus and production cost. This paper reviews the research devoted to minimum average cost production planning problems in stochastic manufacturing systems. Manufacturing systems involve a single or parallel failure-prone machines producing a number of different products, random production capacity, and constant demands.

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