Energy-efficient supply chain design: Data aggregation and processing
In: Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 30
Author
Abstract
Suggested Citation
DOI: 10.15480/882.3152
Download full text from publisher
References listed on IDEAS
- Shiva Zokaee & Armin Jabbarzadeh & Behnam Fahimnia & Seyed Jafar Sadjadi, 2017. "Robust supply chain network design: an optimization model with real world application," Annals of Operations Research, Springer, vol. 257(1), pages 15-44, October.
- Turan Paksoy & Ahmet Çalik & Alexander Kumpf & Gerhard Wilhelm Weber, 2019. "A New Model for Lean and Green Closed-Loop Supply Chain Optimization," International Series in Operations Research & Management Science, in: Turan Paksoy & Gerhard-Wilhelm Weber & Sandra Huber (ed.), Lean and Green Supply Chain Management, pages 39-73, Springer.
- Sabri, Ehap H. & Beamon, Benita M., 2000. "A multi-objective approach to simultaneous strategic and operational planning in supply chain design," Omega, Elsevier, vol. 28(5), pages 581-598, October.
- Guido Perboli & Roberto Tadei & Daniele Vigo, 2011. "The Two-Echelon Capacitated Vehicle Routing Problem: Models and Math-Based Heuristics," Transportation Science, INFORMS, vol. 45(3), pages 364-380, August.
- Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), 2019. "Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics," Proceedings of the Hamburg International Conference of Logistics (HICL), Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management, volume 28, number 28.
- Amy H. I. Lee & He-Yau Kang & Sih-Jie Ye & Wan-Yu Wu, 2018. "An Integrated Approach for Sustainable Supply Chain Management with Replenishment, Transportation, and Production Decisions," Sustainability, MDPI, vol. 10(11), pages 1-21, October.
- Belkız Torğul & Turan Paksoy, 2019. "A New Multi Objective Linear Programming Model for Lean and Green Supplier Selection with Fuzzy TOPSIS," International Series in Operations Research & Management Science, in: Turan Paksoy & Gerhard-Wilhelm Weber & Sandra Huber (ed.), Lean and Green Supply Chain Management, pages 101-141, Springer.
- Schreiber, Lucas, 2019. "Optimization and simulation for sustainable supply chain design," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 271-298, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Schreiber, Lucas, 2019. "Optimization and simulation for sustainable supply chain design," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics, volume 28, pages 271-298, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
- Biswajit Sarkar & Muhammad Tayyab & Seok-Beom Choi, 2018. "Product Channeling in an O2O Supply Chain Management as Power Transmission in Electric Power Distribution Systems," Mathematics, MDPI, vol. 7(1), pages 1-12, December.
- Reza Ramezanian & Sadjad Khalesi, 2021. "Integration of multi-product supply chain network design and assembly line balancing," Operational Research, Springer, vol. 21(1), pages 453-483, March.
- Srikant Gupta & Sachin Chaudhary & Rajesh Kr Singh & Jose Arturo Garza-Reyes & Vikas Kumar, 2024. "Compromising allocation for optimising agri-food supply chain distribution network: a fuzzy stochastic programming approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2019-2041, June.
- Pokharel, Shaligram, 2008. "A two objective model for decision making in a supply chain," International Journal of Production Economics, Elsevier, vol. 111(2), pages 378-388, February.
- Peng, Xiaoshuai & Zhang, Lele & Thompson, Russell G. & Wang, Kangzhou, 2023. "A three-phase heuristic for last-mile delivery with spatial-temporal consolidation and delivery options," International Journal of Production Economics, Elsevier, vol. 266(C).
- Hashem Omrani & Farzane Adabi & Narges Adabi, 2017. "Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 816-828, July.
- Schmid, Verena & Doerner, Karl F. & Laporte, Gilbert, 2013. "Rich routing problems arising in supply chain management," European Journal of Operational Research, Elsevier, vol. 224(3), pages 435-448.
- Liu, Yubin & Ye, Qiming & Escribano-Macias, Jose & Feng, Yuxiang & Candela, Eduardo & Angeloudis, Panagiotis, 2023. "Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
- Mo, Pengli & Yao, Yu & D’Ariano, Andrea & Liu, Zhiyuan, 2023. "The vehicle routing problem with underground logistics: Formulation and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
- Zhu, Stuart X. & Ursavas, Evrim, 2018. "Design and analysis of a satellite network with direct delivery in the pharmaceutical industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 190-207.
- Li, Hongqi & Zhang, Lu & Lv, Tan & Chang, Xinyu, 2016. "The two-echelon time-constrained vehicle routing problem in linehaul-delivery systems," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 169-188.
- Al-Husain, Raed & Khorramshahgol, Reza, 2020. "Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains," Operations Research Perspectives, Elsevier, vol. 7(C).
- Das, Kanchan, 2011. "Integrating effective flexibility measures into a strategic supply chain planning model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 170-183, May.
- Roberto Tadei & Guido Perboli & Francesca Perfetti, 2017. "The multi-path Traveling Salesman Problem with stochastic travel costs," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 3-23, March.
- Zhang, Lele & Ding, Pengyuan & Thompson, Russell G., 2023. "A stochastic formulation of the two-echelon vehicle routing and loading bay reservation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
- Danışment Vural & Robert F. Dell & Erkan Kose, 2021. "Locating unmanned aircraft systems for multiple missions under different weather conditions," Operational Research, Springer, vol. 21(1), pages 725-744, March.
- Qian Zhou & Shuxiang Wang, 2021. "Study on the Relations of Supply Chain Digitization, Flexibility and Sustainable Development—A Moderated Multiple Mediation Model," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
- Nicolas Haber & Mario Fargnoli, 2022. "Product-Service Systems for Circular Supply Chain Management: A Functional Approach," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
- Chan, Chi Kin & Lee, Y.C.E. & Campbell, J.F., 2013. "Environmental performance—Impacts of vendor–buyer coordination," International Journal of Production Economics, Elsevier, vol. 145(2), pages 683-695.
More about this item
Keywords
Logistics; Industry 4.0; Supply Chain Management; Sustainability; City Logistics; Maritime Logistics; Data Science;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hiclch:228948. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.