ISSN 0020-7543, Online ISSN: 1366-588X
Publisher: Taylor and Francis Ltd
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An effective hybrid DE-based algorithm for flow shop scheduling with limited buffers
Qian, B.; Wang, L.; Huang, D. X.; Wang, X.
A spatial knowledge sharing platform. Using the visualization approach
Hou, J. -L.; Pai, S. -T.
A prediction of the dielectric constant of multi-layer ceramic capacitors using the mega-trend-diffusion technique in powder pilot runs: case study
Li, D. -C.; Tsai, T. -I.; Shi, S.
A market-driven approach to product family design
Kumar, Deepak; Chen, Wei; Simpson, Timothy
Repair of STL errors
Liu, F.; Zhou, H.; Li, D.
The relevance of outsourcing and leagile strategies in performance optimization of an integrated process planning and scheduling model
Chan, F. T. S.; Kumar, V.; Tiwari, M. K.
A manufacturing decision framework for minimizing inventory costs of a configurable off-shored product using postponement
Kumar, S.; Wilson, J.
Organizing a virtual manufacturing enterprise: an analytic network process based approach for enterprise flexibility
Wadhwa, Subhash; Mishra, Madhawanand; Chan, Felix
Optimal sensor distribution for multi-station assembly process using chaos-embedded fast-simulated annealing
Shukla, N.; Tiwari, M. K.; Shankar, R.
Effect of information sharing in supply chains with flexibility
Chan, H. K.; Chan, F. T. S.
An improved genetic algorithm for the flowshop scheduling problem
Rajkumar, R.; Shahabudeen, P.
Designing a multivariate-multistage quality control system using artificial neural networks
Niaki, Seyed Taghi Akhavan; Davoodi, Mehdi
A new heuristic for the flowshop scheduling problem to minimize makespan and maximum tardiness
Braglia, Marcello; Grassi, Andrea
A note on 'Modified Hamiltonian chain: a graph theoretic approach to group technology' after S. K. Mukhopadhyay, K. Ramesh Babu and K. V. Vijai Sai
John, E. G.; Davies, A.; Thomas, A. J.
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