This paper deals with a Genetic Algorithm for a single machine scheduling to reduce the tardiness with decomposition method, preventive maintenance and its application of steel production system. Also, we have investigated for a setup time, release time and due time in steel plants. In steel production industries, the products are not release within the due time then the fine will occur. The expenses are high when the machine get breakdown. For avoiding this a deterrent maintenance is considered. To reduce the delivery charges the products are grouped into a batch for the completion of the production work. A mixed integer programming model is formulated in this paper. A Genetic Algorithm is used to solve the production work in steel plants. The efficiency metric was examined in order to compare the different types of algorithms.

1.
J.
Zou
and
Y.
Jinjiang
, “
Single-machine scheduling with maintenance activities and rejection
”,
Discrete Optimization
, vol.
38
, pp.
100609
,
2020
.
2.
V.
Poongothai
,
P.
Godhandaraman
, and
R.
Janani
, “
A genetic algorithm for parallel batch processing machine to reduce the tardiness and consumption of electricity charges
”, vol.
2277
, pp.
200003
-
1 to 200003
-9,
2020
.
3.
H.
Lee
and
C. T.
Maravelias
, “
Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants
”,
Computers &Chemical Engineering
, vol.
106
, pp.
621
644
,
2017
.
4.
M.
Mustu
, Settar and
T.
Eren
, “
The single machine scheduling problem with sequence-dependent setup times and a learning effect on processing times
”,
Applied Soft Computing
, vol.
71
, pp.
291
306
,
2018
.
5.
A.
Özgür
,
Y.
Uygun
and
M. T.
Hutt
, “
A review of planning and scheduling methods for hot rolling mills in steel production
”,
Computers and Industrial Engineering
, vol.
151
, pp.
106606
,
2021
.
6.
X.
Zhang
,
L.
Liao
,
W.
Zhang
,
T. C. E.
Cheng
,
Y.
Tan
and
M.
Ji
, “
Single-machine group scheduling with new models of position-dependent processing times
”,
Computers and Industrial Engineering
, vol.
117
, pp.
1
5
,
2018
.
7.
M.
Liu
,
F.
Chu
,
J.
He
,
D.
Yang
and
C.
Chu
, “
Coke production scheduling problem: A parallel machine scheduling with batch pre-processing and location-dependent processing times
”,
Computers and Operations Research
, vol.
104
, pp.
37
48
,
2019
.
8.
V.
Poongothai
and
P.
Godhandaraman
, “
Cross trained servers with balking and feedback service facility by applying constraint programming model
”,
International Journal of Operational Research
, Vol.
35
, No.
2
, pp.
178
195
,
2019
.
9.
J.
Long
,
Z.
Zheng
,
X.
Gao
and
P. M.
Pardalos
, “
Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants
”,
Applied Soft Computing
, vol.
64
, pp.
536
549
,
2018
.
10.
Z.
Xu
,
Z.
Zheng
,
X.
Gao
and
X.
Shen
, “
Reducing the fluctuation of oxygen demand in a steel plant through optimal production scheduling
”,
Journal of Cleaner Production
, vol.
282
, pp.
124529
,
2021
.
11.
A. C. L.
Gomes
,
M. G.
Ravetti
and
E. G.
Carrano
, “
Multi-objective metaheuristics for minimization of total tardiness and energy costs in a steel industry heat treatment line
”,
Computers and Industrial Engineering
,
151
,
106929
,
2021
.
12.
F.
Li
,
Y.
Zhang
,
H.
Wei
and
X.
Lai
, “
Integrated problem of soaking pit heating and hot rolling scheduling in steel plants
”,
Computers and Operations Research
, vol.
108
, pp.
238
246
,
2019
.
13.
Z.
Xu
,
Z.
Zheng
and
X.
Gao
, “
Energy-efficient steelmaking-continuous casting scheduling problem with temperature constraints and its solution using a multi-objective hybrid genetic algorithm with local search
”,
Applied Soft Computing
, vol.
95
, pp.
106554
,
2020
.
14.
Y.
Yang
,
W.
Chen
,
L.
Wei
and
X.
Chen
, “
Robust optimization for integrated scrap steel charge considering uncertain metal elements concentrations and production scheduling under time-of-use electricity tariff
”,
Journal of Cleaner Production
, vol.
176
, pp.
800
812
,
2018
.
This content is only available via PDF.
You do not currently have access to this content.