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A new bi-level meta-heuristic approach for a single machine JIT-scheduling in the batch delivery system with controllable due dates

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Persistent link: https://www.econbiz.de/10011584477

Multi-machine flow shop scheduling problems with rejection using genetic algorithm

Dabiri, Mohammadreza; Soroush Avakh Darestani; Naderi, … - In: International journal of services and operations management 32 (2019) 2, pp. 158-172

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Controllable processing time policy in job shop manufacturing systems : design and evaluation by simulation modelling

Renna, Paolo; Mancusi, Vincenzo - In: International journal of services and operations management 27 (2017) 3, pp. 366-383

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Assembly line balancing proposal of a new methodology : integrated balancing method

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An approach to the minimisation of makespan in the textile industry using ant colony optimisation

Amuthakkannan, R.; Babu, C. K.; Kannan, S. M. - In: International journal of services and operations management 7 (2010) 2, pp. 215-230

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A heuristic to minimise the idle time of the rental/critical machine in a flowshop

Pugazhenthi, R.; Xavior, M. Anthony - In: International journal of services and operations management 22 (2015) 4, pp. 395-412

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Development and analysis of hybrid genetic algorithms for flow shop scheduling with sequence dependent setup time

Vanchipura, Rajesh; Sridharan, R. - In: International journal of services and operations management 17 (2014) 2, pp. 168-193

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Impact of varying levels of setup time on the performance of algorithms for scheduling a flow shop with sequence dependent setup time

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Macro and micro-logistic aspects in defining the parts-feeding policy in mixed-model assembly systems

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Analysing NEH and a few other similar permutation flow shop scheduling heuristics using Taillard's and Vallada's benchmarking problems

Baskar, A. - In: International journal of services and operations management 30 (2018) 1, pp. 72-97

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