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An iterated local search heuristic for the single machine total weighted tardiness scheduling problem with sequence-dependent setup times
The single machine total weighted tardiness problem with sequence-dependent setup times
(often known as problem) requires a given set of jobs to be sequenced on a single machine …
(often known as problem) requires a given set of jobs to be sequenced on a single machine …
A unified heuristic and an annotated bibliography for a large class of earliness–tardiness scheduling problems
This work proposes a unified heuristic algorithm for a large class of earliness–tardiness (E–
T) scheduling problems. We consider single/parallel machine E–T problems that may or may …
T) scheduling problems. We consider single/parallel machine E–T problems that may or may …
A sequence dependent single machine scheduling problem with fuzzy axiomatic design for the penalty costs
In this paper, a scheduling problem on a single machine producing dairy products subject to
variable due dates, earliness and tardiness penalty costs and sequence dependent setup …
variable due dates, earliness and tardiness penalty costs and sequence dependent setup …
Efficient local search limitation strategy for single machine total weighted tardiness scheduling with sequence-dependent setup times
This paper concerns the single machine total weighted tardiness scheduling with sequence-
dependent setup times, usually referred as 1| s ij|∑ wj T j. In this NP-hard problem, each job …
dependent setup times, usually referred as 1| s ij|∑ wj T j. In this NP-hard problem, each job …
A memetic algorithm with a variable block insertion heuristic for single machine total weighted tardiness problem with sequence dependent setup times
In this paper, a memetic algorithm with a variable block insertion heuristic is presented to
solve the single machine total weighted tardiness problem with sequence dependent setup …
solve the single machine total weighted tardiness problem with sequence dependent setup …
Single machine scheduling based on EDD-SDST-ACO heuristic algorithm
H Song, S Yi, M Liu, G Qin - Journal of Intelligent Systems, 2017 - degruyter.com
A large number of changeovers exist in multi-item and small lot size production mode, which
lead to a long setup time and significantly influence productivity. However, setup time has …
lead to a long setup time and significantly influence productivity. However, setup time has …
Integration of process planning and scheduling with sequence dependent setup time: a case study from electrical wires and power cable industry
S Altarazi, O Yasin - … Computation and Optimization in Information Systems …, 2015 - Springer
This paper addresses the integration of process planning and scheduling (IPPS) with
sequence dependent setup times for a case from the electrical wires and power cables …
sequence dependent setup times for a case from the electrical wires and power cables …
An iterative approach based on hybrid optimization for simultaneous optimization of production planning and scheduling
Y An, H Yan - 2011 Fourth International Symposium on …, 2011 - ieeexplore.ieee.org
This paper deals with the integrated production planning and scheduling over a finite
horizon for synchronous automobile assembly lines. We present a mixed integer …
horizon for synchronous automobile assembly lines. We present a mixed integer …
[PDF][PDF] OPTIMAL TIME ALLOCATION IN ACADEMIA-A MAX-MIN ANT SYSTEM
S Ibrahim - academia.edu
University professors all over the world are facing an increasing challenges to publish more
and more high quality papers, get funds, and improve their citation indices. In many scientific …
and more high quality papers, get funds, and improve their citation indices. In many scientific …
[PDF][PDF] Optimal Holiday Destination Selection
S Ibrahim - 2021 - academia.edu
It is important for people to select the proper leisure destinations to spend their vacations.
Each vacation location would have its own expenses, own entertainment, and own risks …
Each vacation location would have its own expenses, own entertainment, and own risks …