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Improved teaching-learning-based and JAYA optimization algorithms for solving flexible flow shop scheduling problems

Buddala, Raviteja; Mahapatra, Siba Sankar - In: Journal of industrial engineering international 14 (2018) 3, pp. 555-570

Flexible flow shop (or a hybrid flow shop) scheduling problem is an extension of classical flow shop scheduling problem. In a simple flow shop configuration, a job having ‘g’ operations is performed on ‘g’ operation centres (stages) with each stage having only one machine. If any stage...

Persistent link: https://www.econbiz.de/10011887964

Robust scheduling for flexible job shop problems with random machine breakdowns using a quantum behaved particle swarm optimisation

Singh, Manas Ranjan; Mahapatra, Siba Sankar; Mishra, … - In: International journal of services and operations management 20 (2015) 1, pp. 1-20

Persistent link: https://www.econbiz.de/10011401239

A novel algorithm for virtual cellular manufacturing considering real life production factors

Tambuskar, Dhanraj P.; Narkhede, B. E.; Mahapatra, Siba … - In: International journal of services and operations management 20 (2015) 2, pp. 246-269

Persistent link: https://www.econbiz.de/10011402479

An improved metaheuristic approach for solving the machine loading problem in flexible manufacturing systems

Biswas, Sandhyarani; Mahapatra, Siba Sankar - In: International journal of services and operations management 5 (2009) 1, pp. 76-93

Persistent link: https://www.econbiz.de/10003811182

A discrete particle swarm optimisation approach for manufacturing cell formation

Mahapatra, Siba Sankar; Narkhede, B. E.; Tambuskar, … - In: International journal of procurement management 7 (2014) 3, pp. 343-358

Persistent link: https://www.econbiz.de/10010409975

A novel swarm optimisation approach for risk-based partner selection in virtual enterprises

Mahapatra, Siba Sankar; Nayak, N. R.; Kumar, K. N.; … - In: International journal of services and operations management 10 (2011) 1, pp. 52-73

Persistent link: https://www.econbiz.de/10009300093