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RELIABILITY CENTERED MULTI OBJECTIVE HYBRID FLOW SHOP SCHEDULING [PDF]
Asia-Pacific Journal of Operational Research, 2009 Real world scheduling problems are complex in nature. They require satisfying multiple objectives. To get a realistic schedule, consideration of machine reliability and availability is very important to allocate job in machine. This research aims to develop two fuzzy inference systems (FIS) for hybrid flow shop problem.
TAHMINA FERDOUSI LIPI +2 more
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Hybrid bat algorithm for flow shop scheduling problems
International Journal of Mathematics in Operational Research, 2016In this paper, a hybrid bat algorithm is proposed to solve the permutation flow shop scheduling problems with makespan criterion. Developed for numerical optimisation, local search techniques are integrated into the bat algorithm to solve the flow shop problems.
Ömür Tosun, M. K. Marichelvam
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Metaheuristic methods in hybrid flow shop scheduling problem
Expert Systems with Applications, 2011Memetic algorithms are hybrid evolutionary algorithms that combine global and local search by using an evolutionary algorithm to perform exploration while the local search method performs exploitation. This paper presents two hybrid heuristic algorithms that combine particle swarm optimization (PSO) with simulated annealing (SA) and tabu search (TS ...
Florence Chiao Choong Mei +2 more
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Bounding strategies for the hybrid flow shop scheduling problem
Applied Mathematics and Computation, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lotfi Hidri, Mohamed Haouari
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Review on Hybrid Flow Shop Scheduling
2011 International Conference of Information Technology, Computer Engineering and Management Sciences, 2011As a vital decision-making progress, hybrid flow shops (HFS) are common manufacturing environments in which a set of n jobs are to be processed in a series of m stages optimizing a given objective function. Focusing on its complex nature, this paper presents a literature review on HFS scheduling problem, classifies the various type of the problem ...
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A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks
Journal of Scheduling, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ceyda Oguz, Muhammet Fikret Ercan
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A Hybrid Flow Shop Scheduling Problem
2019Hybrid flow shop environment generally refers to the flow shop with multiple parallel machines per stage. Hybrid flow shop scheduling problem (HFSP) is a complex combinatorial optimization problem that came across in many real-life problems. In this study, a real-life HFSP of a lubricant company is considered, where the aim is to minimize total ...
Ayşegül Eda Özen +6 more
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Integrated production and distribution scheduling in distributed hybrid flow shops
Memetic Computing, 2021To improve the operational efficiency and competitive advantage of supply chains, integrated production and distribution has attracted an increasing attention in recent years. This paper focuses on a novel integrated production and distribution scheduling problem (IPDSP) with consideration of factory eligibility and third-party logistics (3PL). In this
Hu Qin +3 more
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An Agent-Based Approach for Dynamic Scheduling in Hybrid Flow Shops
2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2021Today, manufacturing enterprises must respond quickly to the ever-changing market environment in order to survive. At the same time, dynamic disturbances in production sites such as machine failures, reworking caused by quality problems, and changes of processing time and personnel will also have negative impacts on the effectiveness of the original ...
Xiyao Zhang +5 more
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An Effective Hybrid Heuristic for Flow Shop Scheduling
The International Journal of Advanced Manufacturing Technology, 2003In typical production scheduling problems, flow shop scheduling is one of the strongly NP-complete combinatorial optimisation problems with a strong engineering background. In this paper, after investigating the effect of different initialisation, crossover and mutation operators on the performances of a genetic algorithm (GA), we propose an effective ...
D.-Z. Zheng, L. Wang
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