Seyedmohsen Hosseini

发表

A Model for Supply Chain Performance of Electronics Industry in Malaysia

Anahita Bagherzad Halimi, Pejman Sheibani Esferjani, Alireza Chavosh, 2011 .

Conceptualization and Measurement of Supply Chain Resilience in an Open-System Context

Jennifer Blackhurst, D. Ivanov, J. Blackhurst, 2020, IEEE Transactions on Engineering Management.

PITHIA: Protein Interaction Site Prediction Using Multiple Sequence Alignments and Attention

Lucian Ilie, Seyedmohsen Hosseini, 2022, International journal of molecular sciences.

Hybrid imperialist competitive algorithm, variable neighborhood search, and simulated annealing for dynamic facility layout problem

A. A. Khaled, Seyedmohsen Hosseini, Satish Vadlamani, 2014, Neural Computing and Applications.

A general framework for assessing system resilience using Bayesian networks: A case study of sulfuric acid manufacturer

Abdullah Al Khaled, Seyedmohsen Hosseini, Sarder, 2016 .

A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port

Mohammad Marufuzzaman, Seyedmohsen Hosseini, Farjana Nur, 2019, Reliab. Eng. Syst. Saf..

A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research

Seyedmohsen Hosseini, Abdullah Al Khaled, A. A. Khaled, 2014, Appl. Soft Comput..

Simulation-based assessment of supply chain resilience with consideration of recovery strategies in the COVID-19 pandemic context

J. Moosavi, Seyedmohsen Hosseini, 2021, Computers & Industrial Engineering.

Review of quantitative methods for supply chain resilience analysis

Alexandre Dolgui, Dmitry Ivanov, Seyedmohsen Hosseini, 2019, Transportation Research Part E: Logistics and Transportation Review.

A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach

Dmitry Ivanov, Seyedmohsen Hosseini, D. Ivanov, 2019, Ann. Oper. Res..

A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing

Seyedmohsen Hosseini, Seyedmohsen Hosseini, 2021 .

A review of definitions and measures of system resilience

Kash Barker, Jose Emmanuel Ramirez-Marquez, Seyedmohsen Hosseini, 2016, Reliab. Eng. Syst. Saf..

A Bayesian network model for resilience-based supplier selection

Kash Barker, Seyedmohsen Hosseini, K. Barker, 2016 .

Modeling and Measuring Resilience: Applications in Supplier Selection and Critical Infrastructure

Seyedmohsen Hosseini, Seyedmohsen Hosseini, 2016 .

Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports

Kash Barker, Seyedmohsen Hosseini, K. Barker, 2016, Comput. Ind. Eng..

Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review

Dmitry Ivanov, Seyedmohsen Hosseini, D. Ivanov, 2020, Expert Systems with Applications.

Resilient supplier selection and optimal order allocation under disruption risks

Dmitry Ivanov, Kash Barker, Nazanin Morshedlou, 2019, International Journal of Production Economics.

Fuzzy adaptive imperialist competitive algorithm for global optimization

Abdullah Al Khaled, Seyedmohsen Hosseini, A. A. Khaled, 2014, Neural Computing and Applications.

A hybrid ensemble and AHP approach for resilient supplier selection

A. A. Khaled, Seyedmohsen Hosseini, 2016, Journal of Intelligent Manufacturing.

A hybrid ensemble and AHP approach for resilient supplier selection

Abdullah Al Khaled, Seyedmohsen Hosseini, A. A. Khaled, 2019, J. Intell. Manuf..

Fuzzy adaptive imperialist competitive algorithm for global optimization

A. A. Khaled, Seyedmohsen Hosseini, 2015, Neural computing & applications (Print).

Scheduling multi-component maintenance with a greedy heuristic local search algorithm

Kash Barker, Seyedmohsen Hosseini, Sifat Kalam, 2019, Soft Comput..

A novel heuristic approach for solving aircraft landing problem with single runway

Satish Vadlamani, Seyedmohsen Hosseini, Seyedmohsen Hosseini, 2014 .

Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach

Alexandre Dolgui, Dmitry Ivanov, Seyedmohsen Hosseini, 2020, Int. J. Prod. Res..

A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system

Mohammad Marufuzzaman, Randy K. Buchanan, Seyedmohsen Hosseini, 2019, Int. J. Crit. Infrastructure Prot..

Freight flow optimization to evaluate the criticality of intermodal surface transportation system infrastructures

Abdullah Al Khaled, Seyedmohsen Hosseini, A. A. Khaled, 2021, Comput. Ind. Eng..

A Lagrangean Relaxation Approach for the Modular Hub Location Problem

Seyed Babak Hosseini, Seyedmohsen Hosseini, 2013 .

Development of a Bayesian network model for optimal site selection of electric vehicle charging station

Seyedmohsen Hosseini, Sarder, Seyedmohsen Hosseini, 2019, International Journal of Electrical Power & Energy Systems.

Ripple Effect Analysis of Two-Stage Supply Chain Using Probabilistic Graphical Model

Seyedmohsen Hosseini, Sarder, Seyedmohsen Hosseini, 2019, Handbook of Ripple Effects in the Supply Chain.

A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic

Dmitry Ivanov, Seyedmohsen Hosseini, D. Ivanov, 2021, Int. J. Prod. Res..

Seq-InSite: sequence supersedes structure for protein interaction site prediction

Lucian Ilie, Seyedmohsen Hosseini, G. Golding, 2023, bioRxiv.

A Lagrangean Relaxation Approach for the Modular Hub Location Problem

Seyedmohsen Hosseini, 2013 .

The Aquila Digital Community The Aquila Digital Community

Seyedmohsen Hosseini, Alexandre Dolgui, Dmitry Ivanov, 2022 .