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Multi-objective optimisation of tool indexing problem : a mathematical model and a modified genetic algorithm

Amouzgar, Kaveh; Nourmohammadi, Amir; Ng, Amos H. C. - In: International journal of production research 59 (2021) 12, pp. 3572-3590

Persistent link: https://www.econbiz.de/10012589235

Remanufacturing-oriented process planning and scheduling : mathematical modelling and evolutionary optimisation

Gong, Guiliang; Deng, Qianwang; Chiong, Raymond; Gong, Xuran - In: International journal of production research 58 (2020) 12, pp. 3781-3799

Persistent link: https://www.econbiz.de/10012265963

Energy-efficient scheduling for multi-objective two-stage flow shop using a hybrid ant colony optimisation algorithm

Zheng, Xu; Zhou, Shengchao; Xu, Rui; Chen, Huaping - In: International journal of production research 58 (2020) 13, pp. 4103-4120

Persistent link: https://www.econbiz.de/10012266010

Feature set processing using multi-objective optimisation algorithm to improve content-based image retrieval system

Syam, B.; Rao, Y. Srinivasa - In: International journal of business information systems : … 34 (2020) 2, pp. 253-272

Persistent link: https://www.econbiz.de/10012253429

Modelling and optimisation of facility layout problem using firefly algorithm

Sarwar, Ferdous; Chowdhury, Noman H.; Uddin, Syed Helal - In: International journal of services and operations … 36 (2020) 2, pp. 189-203

Persistent link: https://www.econbiz.de/10012256770

Advances in solution methods for optimisation of multiple quality characteristics in manufacturing processes

Bera, Sasadhar; Mukherjee, Indrajit - In: International journal of productivity and quality … 24 (2018) 4, pp. 475-494

Persistent link: https://www.econbiz.de/10011924277

Integrating partner objectives in horizontal logistics optimisation models

Defryn, Christof; Sörensen, Kenneth; Dullaert, Wout - In: Omega : the international journal of management science 82 (2018), pp. 1-12

Persistent link: https://www.econbiz.de/10011937584

Multi-objective assembly line balancing problem under uncertainty using genetic algorithm

Sarwar, Ferdous - In: International journal of services and operations management 34 (2019) 1, pp. 33-47

Persistent link: https://www.econbiz.de/10012144964

Multi-response optimisation of process parameters in pocket milling using artificial neural networks and genetic algorithms

Rajyalakshmi, M.; Rao, M. Venkateswara - In: Journal of information & knowledge management : JIKM 21 (2022) 2, pp. 1-15

In the plastic industry for mold making, pocket milling is applied. The surface finish of the mold affects the quality of the plastic product, especially for toys. This can be achieved by minimising the surface roughness of the mold. To get a good quality product with a better production rate,...

Persistent link: https://www.econbiz.de/10013389523

Multi-objective robust optimisation model for MDVRPLS in refined oil distribution

Xu, Xiaofeng; Lin, Ziru; Li, Xiang; Shang, Changjing; … - In: International journal of production research 60 (2022) 22, pp. 6772-6792

Persistent link: https://www.econbiz.de/10013501125