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export results for "Lohithaksha M. Maiyar"
@article{DBLP:journals/candie/GhadgeMBMM22, author = {Abhijeet Ghadge and D. G. Mogale and Michael Bourlakis and Lohithaksha M. Maiyar and Hamid Moradlou}, title = {Link between Industry 4.0 and green supply chain management: Evidence from the automotive industry}, journal = {Comput. Ind. Eng.}, volume = {169}, pages = {108303}, year = {2022} }
@article{DBLP:journals/ijpr/MaiyarT20, author = {Lohithaksha M. Maiyar and Jitesh J. Thakkar}, title = {Robust optimisation of sustainable food grain transportation with uncertain supply and intentional disruptions}, journal = {Int. J. Prod. Res.}, volume = {58}, number = {18}, pages = {5651--5675}, year = {2020} }
@article{DBLP:journals/taasm/SinghMB20, author = {Sonal H. Singh and Lohithaksha M. Maiyar and Bhaskar Bhowmick}, title = {Assessing the appropriate grassroots technological innovation for sustainable development}, journal = {Technol. Anal. Strateg. Manag.}, volume = {32}, number = {2}, pages = {175--194}, year = {2020} }
@article{DBLP:journals/ijcim/MaiyarSPT19, author = {Lohithaksha M. Maiyar and Sube Singh and Vittal Prabhu and Manoj Kumar Tiwari}, title = {Part segregation based on particle swarm optimisation for assembly design in additive manufacturing}, journal = {Int. J. Comput. Integr. Manuf.}, volume = {32}, number = {7}, pages = {705--722}, year = {2019} }
@article{DBLP:journals/ijpr/MaiyarCTTK19, author = {Lohithaksha M. Maiyar and Sangje Cho and Manoj Kumar Tiwari and Klaus{-}Dieter Thoben and Dimitris Kiritsis}, title = {Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach}, journal = {Int. J. Prod. Res.}, volume = {57}, number = {10}, pages = {3099--3120}, year = {2019} }
@article{DBLP:journals/candie/MaiyarT17, author = {Lohithaksha M. Maiyar and Jitesh J. Thakkar}, title = {A combined tactical and operational deterministic food grain transportation model: Particle swarm based optimization approach}, journal = {Comput. Ind. Eng.}, volume = {110}, pages = {30--42}, year = {2017} }
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