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An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
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job shop scheduling problem:literature review
Tikrit Journal of Pure Science, 2020 As an extension of the Job Shop Scheduling (JSP), Flexible job-shop Scheduling Problem (FJSP), can be defined as one of the most significant problems in up-to-date manufacturing systems, recently a lot of studies have been conducted to address FJSP ...
Marrwa Abd-AlKareem Alabajee +2 more
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A hybrid CFGTSA based approach for scheduling problem: a case study of an automobile industry [PDF]
, 2006 In the global competitive world swift, reliable and cost effective production subject to uncertain situations, through an appropriate management of the available resources, has turned out to be the necessity for surviving in the market. This inspired the
Vikas Kumar +13 more
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Flexible job‐shop scheduling problem by genetic algorithm
Electrical Engineering in Japan, 2009 AbstractThe Flexible Job‐shop Scheduling Problem is an expansion of the traditional Job‐shop Scheduling Problem in which an operation can be processed by one or more machines. The purpose of this problem is to look for the smallest makespan. For that purpose, it is necessary to decide the optimal assignment of machines to operations and the order of ...
Ida, Kenichi, Oka, Kensaku
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Journal of Applied Mathematics, 2012 Scheduled production system leads to avoiding stock accumulations, losses reduction, decreasing or even eliminating idol machines, and effort to better benefitting from machines for on time responding customer orders and supplying requested materials in ...
Behnam Barzegar +2 more
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IEEE Access, 2019 Flexible job shop scheduling problem with combined processing constraint is a common scheduling problem in assembly manufacturing industry. However, traditional methods for classic flexible job shop scheduling problem (FJSP) cannot be directly applied ...
Haihua Zhu +3 more
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Evaluate Flexible Job Scheduling Problem Using Elitist Ant [PDF]
BIO Web of ConferencesOne significant approach that is frequently utilized in many applications, particularly in industry, is scheduling .An extension of job scheduling, the Flexible Job Shop Scheduling Problem (FJSP), has a number of real-world uses .This subject has ...
Ali Zainab, Hassan Luma S.
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A hybrid algorithm for flexible job-shop scheduling problem with setup times
International Journal of Production Management and Engineering, 2017 Job-shop scheduling problem is one of the most important fields in manufacturing optimization where a set of n jobs must be processed on a set of m specified machines.
Ameni Azzouz +2 more
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Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. [PDF]
, 2022 With the increasing demand for hospital services amidst the COVID-19 pandemic, allocation of limited public resources and management of healthcare services are of paramount importance.
Chaussalet, Thierry J +3 more
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Constraint programing for solving four complex flexible shop scheduling problems
IET Collaborative Intelligent Manufacturing, 2021 In recent years, with the advent of robust solvers such as Cplex and Gurobi, constraint programing (CP) has been widely applied to a variety of scheduling problems.
Leilei Meng +7 more
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