Genetic Algorithms for BATCH Process Scheduling Using BHA and MILP Formulation

1997 ◽  
pp. 261-274
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Genetic Algorithms ◽  
Batch Process ◽  
Process Scheduling

Minimizing Total Weighted Tardiness on Parallel Batch Process Machines Using Genetic Algorithms

2003 ◽  
pp. 229-234 ◽  
Author(s):  
Lars Mönch ◽  
Hari Balasubramanian ◽  
John W. Fowler ◽  
Michele E. Pfund
Keyword(s):  
Genetic Algorithms ◽  
Batch Process ◽  
Total Weighted Tardiness ◽  
Weighted Tardiness

Incorporating heat integration in batch process scheduling

2003 ◽  
Vol 23 (14) ◽  
pp. 1743-1762 ◽  
Author(s):  
R Adonyi ◽  
J Romero ◽  
L Puigjaner ◽  
F Friedler
Keyword(s):  
Batch Process ◽  
Heat Integration ◽  
Process Scheduling

Batch Process Scheduling Using Simulated Annealing

1997 ◽  
pp. 245-259
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Simulated Annealing ◽  
Batch Process ◽  
Process Scheduling

Multiobjective evolutionary optimization of batch process scheduling under environmental and economic concerns

AIChE Journal ◽  
2012 ◽  
Vol 59 (2) ◽  
pp. 429-444 ◽  
Author(s):  
Elisabet Capón-García ◽  
Aarón D. Bojarski ◽  
Antonio Espuña ◽  
Luis Puigjaner
Keyword(s):  
Batch Process ◽  
Evolutionary Optimization ◽  
Process Scheduling

Genetic Algorithms for Tire Mixing Process Scheduling

2013 ◽  
Vol 18 (2) ◽  
pp. 129-137 ◽  
Author(s):  
Euikoog Ahn ◽  
Sang Chul Park
Keyword(s):  
Genetic Algorithms ◽  
Mixing Process ◽  
Process Scheduling

An efficient and user-friendly optimization framework for batch process scheduling

2010 ◽  
Vol 43 (17) ◽  
pp. 28-33
Author(s):  
Thomas Tometzki ◽  
Tobias Neymann ◽  
Jochen Steimel ◽  
Subanatarajan Subbiah ◽  
Sebastian Engell
Keyword(s):  
Batch Process ◽  
Process Scheduling ◽  
Optimization Framework ◽  
User Friendly

scholarly journals Novel Heuristic for Low-Batch Manufacturing Process Scheduling Optimisation with Reference to Process Engineering

2011 ◽  
Vol 6 (2) ◽  
Author(s):  
S. Maqsood ◽  
M. K. Khan ◽  
A. S. Wood
Keyword(s):  
Energy Efficient ◽  
Job Scheduling ◽  
Batch Process ◽  
Benchmark Problems ◽  
Manufacturing Processes ◽  
Scheduling Problem ◽  
Process Scheduling ◽  
Solution Approach ◽  
Job Scheduling Problem ◽  
Manufacturing Problems

Scheduling is an important element that has a major impact on the efficiency of all manufacturing processes. It plays an important role in optimising the manufacturing times and costs resulting in energy efficient processes. It has been estimated that more than 75% of manufacturing processes occur in small batches. In such environments, processes must be able to perform a variety of operations on a mix of different batches. Batch-job scheduling optimisation is the response to such low batch manufacturing problems. The optimisation of batch-job process scheduling problem is still a challenge to researchers and is far from being completely solved due to its combinatorial nature. In this paper, a novel hybrid heuristic (HybH) solution approach for batch-job scheduling problem is presented with the objective of optimising the overall Makespan (Cmax). The proposed HybH is the combination of Index Based Heuristic (IBH) and the Finished Batch-Job (FBJ) process schedule. The heuristic assigns the first operation to a batch-job using IBH and the remaining operations on the basis FBJ process schedule. The FBJ process schedule gives priority to the batch-job with early finished operations, without violating the constraints of process order. The proposed HybH is explained with the help of a detailed example. Several benchmark problems are solved from the literature to check the validity and effectiveness of the proposed heuristic. The presented HybH has achieved batch-job process schedules which have outperformed the traditional heuristics. The results are encouraging and show that the proposed heuristic is a valid methodology for batch process scheduling optimisation.

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