@article{54179,
  author       = {{Tavana, Madjid and Sorooshian, S. and Sarvarizadehkouhpaye, M. and Mina, H.}},
  journal      = {{Annals of Operations Research}},
  title        = {{{A Novel Fuzzy General Best-Worst Method for Considering Diversity and Inclusion in Supplier Selection Programs}}},
  year         = {{2024}},
}

@article{54178,
  author       = {{Dellnitz, A. and Tavana, Madjid}},
  journal      = {{European Journal of Operational Research}},
  title        = {{{Data Envelopment Analysis: From Non-Monotonic to Monotonic Scale Elasticities}}},
  year         = {{2024}},
}

@inproceedings{47427,
  author       = {{Schryen, Guido and Marrone, Mauricio and Yang, Jiaqi}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024)}},
  title        = {{{Adopting Generative AI for Literature Reviews: An Epistemological Perspective}}},
  year         = {{2024}},
}

@inproceedings{47429,
  author       = {{Betke, Hans and Sperling, Martina and Schryen, Guido and Sackmann, Stefan}},
  booktitle    = {{Proceedings of the 57th Hawaii International Conference on System Science (HICSS 2024)}},
  title        = {{{A Design Theory for Spontaneous Volunteer Coordination Systems in Disaster Response}}},
  year         = {{2024}},
}

@article{57208,
  abstract     = {{<jats:p> Home delivery failures, traffic congestion, and relatively large handling times have a negative impact on the profitability of last-mile logistics. A potential solution is the delivery to parcel lockers or parcel shops, denoted by out-of-home (OOH) delivery. In the academic literature, models for OOH delivery are so far limited to static settings, contrasting with the sequential nature of the problem. We model the sequential decision-making problem of which OOH location to offer against what incentive for each incoming customer, taking into account future customer arrivals and choices. We propose dynamic selection and pricing of OOH (DSPO), an algorithmic pipeline that uses a novel spatial-temporal state encoding as input to a convolutional neural network. We demonstrate the performance of our method by benchmarking it against two state-of-the-art approaches. Our extensive numerical study, guided by real-world data, reveals that DSPO can save 19.9 percentage points (%pt) in costs compared with a situation without OOH locations, 7%pt compared with a static selection and pricing policy, and 3.8%pt compared with a state-of-the-art demand management benchmark. We provide comprehensive insights into the complex interplay between OOH delivery dynamics and customer behavior influenced by pricing strategies. The implications of our findings suggest that practitioners adopt dynamic selection and pricing policies. </jats:p><jats:p> History: This paper has been accepted for the Transportation Science special issue on TSL Conference 2023. </jats:p><jats:p> Funding: This work was supported by TKI DINALOG. </jats:p>}},
  author       = {{Akkerman, Fabian and Dieter, Peter and Mes, Martijn}},
  issn         = {{0041-1655}},
  journal      = {{Transportation Science}},
  publisher    = {{Institute for Operations Research and the Management Sciences (INFORMS)}},
  title        = {{{Learning Dynamic Selection and Pricing of Out-of-Home Deliveries}}},
  doi          = {{10.1287/trsc.2023.0434}},
  year         = {{2024}},
}

@techreport{57481,
  author       = {{Dieter, Peter and Speckenmeyer, Philipp and Schryen, Guido}},
  title        = {{{The On-Demand Delivery Problem: Assignment of Orders to Warehouses and Couriers}}},
  doi          = {{10.2139/ssrn.5039888}},
  year         = {{2024}},
}

@article{47424,
  author       = {{Burmeister, Sascha Christian and Guericke, Daniela and Schryen, Guido}},
  journal      = {{Flexible Services and Manufacturing Journal}},
  title        = {{{A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs}}},
  year         = {{2024}},
}

@misc{48335,
  author       = {{Knorr, Lukas and Jungeilges, André and Pfeifer, Florian and Burmeister, Sascha Christian and Meschede, Henning}},
  publisher    = {{4. Aachener Ofenbau- und Thermoprozess-Kolloquium}},
  title        = {{{Regenerative Energien für einen effizienten Betrieb von Presshärtelinien}}},
  year         = {{2023}},
}

@article{53220,
  author       = {{Tavana, Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza Shamekhi and Mina, Hassan}},
  issn         = {{2542-6605}},
  journal      = {{Internet of Things}},
  keywords     = {{Management of Technology and Innovation, Artificial Intelligence, Computer Science Applications, Hardware and Architecture, Engineering (miscellaneous), Information Systems, Computer Science (miscellaneous), Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{An interval multi-criteria decision-making model for evaluating blockchain-IoT technology in supply chain networks}}},
  doi          = {{10.1016/j.iot.2023.100786}},
  volume       = {{22}},
  year         = {{2023}},
}

@article{53218,
  author       = {{Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga, Francisco J. and Sharafi, Hamid}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Analytic hierarchy process and data envelopment analysis: A match made in heaven}}},
  doi          = {{10.1016/j.eswa.2023.119902}},
  volume       = {{223}},
  year         = {{2023}},
}

@article{53219,
  author       = {{Tavana, Madjid and Hajipour, Vahid and Alaghebandha, Mohammad and Di Caprio, Debora}},
  issn         = {{2666-8270}},
  journal      = {{Machine Learning with Applications}},
  keywords     = {{General Medicine}},
  publisher    = {{Elsevier BV}},
  title        = {{{A bi-objective hybrid vibration damping optimization model for synchronous flow shop scheduling problems}}},
  doi          = {{10.1016/j.mlwa.2022.100445}},
  volume       = {{11}},
  year         = {{2023}},
}

@article{53217,
  author       = {{Tavana, Madjid and Mina, Hassan and Santos-Arteaga, Francisco J.}},
  issn         = {{0148-2963}},
  journal      = {{Journal of Business Research}},
  keywords     = {{Marketing}},
  publisher    = {{Elsevier BV}},
  title        = {{{A general Best-Worst method considering interdependency with application to innovation and technology assessment at NASA}}},
  doi          = {{10.1016/j.jbusres.2022.08.036}},
  volume       = {{154}},
  year         = {{2023}},
}

@article{53216,
  author       = {{Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga, Francisco J.}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  keywords     = {{Management Science and Operations Research, General Decision Sciences}},
  number       = {{2}},
  pages        = {{879--907}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Analytical hierarchy process: revolution and evolution}}},
  doi          = {{10.1007/s10479-021-04432-2}},
  volume       = {{326}},
  year         = {{2023}},
}

@article{53215,
  author       = {{Tavana, Madjid and Heidary, Mohammad Saeed and Mina, Hassan}},
  issn         = {{1568-4946}},
  journal      = {{Applied Soft Computing}},
  keywords     = {{Software}},
  publisher    = {{Elsevier BV}},
  title        = {{{A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA}}},
  doi          = {{10.1016/j.asoc.2023.110572}},
  volume       = {{145}},
  year         = {{2023}},
}

@article{53229,
  author       = {{Santos-Arteaga, Francisco J. and Di Caprio, Debora and Tavana, Madjid and Tena, Emilio Cerda}},
  issn         = {{1063-6706}},
  journal      = {{IEEE Transactions on Fuzzy Systems}},
  keywords     = {{Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering}},
  number       = {{2}},
  pages        = {{460--474}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{A Credibility and Strategic Behavior Approach in Hesitant Multiple Criteria Decision-Making With Application to Sustainable Transportation}}},
  doi          = {{10.1109/tfuzz.2022.3188875}},
  volume       = {{31}},
  year         = {{2023}},
}

@article{53226,
  author       = {{Marín, Raquel and Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{2444-569X}},
  journal      = {{Journal of Innovation & Knowledge}},
  keywords     = {{Management of Technology and Innovation, Marketing, Economics and Econometrics, Business and International Management}},
  number       = {{4}},
  publisher    = {{Elsevier BV}},
  title        = {{{Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises}}},
  doi          = {{10.1016/j.jik.2023.100454}},
  volume       = {{8}},
  year         = {{2023}},
}

@article{53228,
  author       = {{Tirkolaee, Erfan Babaee and Torkayesh, Ali Ebadi and Tavana, Madjid and Goli, Alireza and Simic, Vladimir and Ding, Weiping}},
  issn         = {{0952-1976}},
  journal      = {{Engineering Applications of Artificial Intelligence}},
  keywords     = {{Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated decision support framework for resilient vaccine supply chain network design}}},
  doi          = {{10.1016/j.engappai.2023.106945}},
  volume       = {{126}},
  year         = {{2023}},
}

@article{53221,
  author       = {{Soltanifar, Mehdi and Tavana, Madjid and Santos-Arteaga, Francisco J. and Sharafi, Hamid}},
  issn         = {{1462-9011}},
  journal      = {{Environmental Science & Policy}},
  keywords     = {{Management, Monitoring, Policy and Law, Geography, Planning and Development}},
  pages        = {{89--102}},
  publisher    = {{Elsevier BV}},
  title        = {{{A hybrid multi-attribute decision-making and data envelopment analysis model with heterogeneous attributes: The case of sustainable development goals}}},
  doi          = {{10.1016/j.envsci.2023.06.004}},
  volume       = {{147}},
  year         = {{2023}},
}

@article{53227,
  author       = {{Deveci, Muhammet and Pamucar, Dragan and Gokasar, Ilgin and Tavana, Madjid}},
  issn         = {{0273-1177}},
  journal      = {{Advances in Space Research}},
  keywords     = {{Space and Planetary Science, Aerospace Engineering, General Earth and Planetary Sciences, Atmospheric Science, Geophysics, Astronomy and Astrophysics}},
  number       = {{9}},
  pages        = {{3534--3551}},
  publisher    = {{Elsevier BV}},
  title        = {{{Spacecraft tracking control and synchronization: An assessment of conventional, unconventional, and combined methods}}},
  doi          = {{10.1016/j.asr.2022.07.056}},
  volume       = {{71}},
  year         = {{2023}},
}

@article{53223,
  author       = {{Dellnitz, Andreas and Tavana, Madjid and Banker, Rajiv}},
  issn         = {{0254-5330}},
  journal      = {{Annals of Operations Research}},
  keywords     = {{Management Science and Operations Research, General Decision Sciences}},
  number       = {{2}},
  pages        = {{661--690}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A novel median-based optimization model for eco-efficiency assessment in data envelopment analysis}}},
  doi          = {{10.1007/s10479-022-04937-4}},
  volume       = {{322}},
  year         = {{2023}},
}