Flow Shops, Job Shops and Open Shops (Stochastic)

Scheduling ◽  
2011 ◽  
pp. 349-372
Author(s):  
Michael L. Pinedo
Keyword(s):  
Job Shops ◽  
Flow Shops

Flow Shops, Job Shops and Open Shops (Stochastic)

Scheduling ◽  
2008 ◽  
pp. 345-368
Author(s):  
Michael L. Pinedo
Keyword(s):  
Job Shops ◽  
Flow Shops

Flow Shops, Job Shops and Open Shops (Stochastic)

Scheduling ◽  
2016 ◽  
pp. 349-372
Author(s):  
Michael L. Pinedo
Keyword(s):  
Job Shops ◽  
Flow Shops

Inequalities for stochastic flow shops and job shops

1986 ◽  
Vol 2 (1-2) ◽  
pp. 61-69 ◽  
Author(s):  
Michael Pinedo ◽  
Sung-Hwan Wie
Keyword(s):  
Stochastic Flow ◽  
Job Shops ◽  
Flow Shops

Efficient heuristic approaches to transform job shops into flow shops

2005 ◽  
Vol 37 (5) ◽  
pp. 441-451 ◽  
Author(s):  
JOSE M. FRAMINAN
Keyword(s):  
Job Shops ◽  
Flow Shops ◽  
Heuristic Approaches

On transforming job-shops into flow-shops

2002 ◽  
Vol 13 (2) ◽  
pp. 166-174 ◽  
Author(s):  
Jose M. Framinan ◽  
Rafael Ruiz-Usano
Keyword(s):  
Job Shops ◽  
Flow Shops

scholarly journals Multi-objective hybrid genetic algorithm for energy adaptive production scheduling in job shops

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 294-299
Author(s):  
Benedikt Grosch ◽  
Thomas Kohne ◽  
Matthias Weigold
Keyword(s):  
Genetic Algorithm ◽  
Production Scheduling ◽  
Hybrid Genetic Algorithm ◽  
Job Shops ◽  
Multi Objective

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.

An efficient constructive heuristic for flowtime minimisation in permutation flow shops

Omega ◽  
2003 ◽  
Vol 31 (4) ◽  
pp. 311-317 ◽  
Author(s):  
J.M. Framinan ◽  
R. Leisten
Keyword(s):  
Flow Shops ◽  
Constructive Heuristic
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