Relevant bibliographies by topics / Planning optimisation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Planning optimisation'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Planning optimisation"

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Gerth, Hans-Peter. "Optimisation of Assembly Planning." ATZproduktion worldwide eMagazine 4, no. 3 (2011): 10–15. http://dx.doi.org/10.1365/s38312-011-0019-7.

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Pitka, Pavle, Milan Simeunović, Milica Miličić, et al. "Planning-Level Optimisation of Headway Regularity." Applied Sciences 14, no. 13 (2024): 5706. http://dx.doi.org/10.3390/app14135706.

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Headway variability has a negative impact on the public transport passengers’ perception of service quality. However, most of the existing methods aimed at improving the headway regularity operate in real time and require precise vehicle location data, making it difficult to implement them in practice. On the other hand, planning-level methods can be used to increase the resilience of public passenger transport (PPT) to the accumulation of headway disturbances. As this is typically done from the operator’s perspective, the passengers’ perspective tends to be overlooked, motivating the current
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Altobelli, Emma, Maurizio Amichetti, Alessio Langiu, et al. "Combinatorial optimisation in radiotherapy treatment planning." AIMS Medical Science 5, no. 3 (2018): 204–23. http://dx.doi.org/10.3934/medsci.2018.3.204.

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Bushuev, Maxim. "Convex optimisation for aggregate production planning." International Journal of Production Research 52, no. 4 (2013): 1050–58. http://dx.doi.org/10.1080/00207543.2013.831998.

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McGowan, S. E., N. G. Burnet, and A. J. Lomax. "Treatment planning optimisation in proton therapy." British Journal of Radiology 86, no. 1021 (2013): 20120288. http://dx.doi.org/10.1259/bjr.20120288.

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Bland, J. A. "Space-planning by ant colony optimisation." International Journal of Computer Applications in Technology 12, no. 6 (1999): 320. http://dx.doi.org/10.1504/ijcat.1999.000215.

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Noonan, John, and Michael Wallace. "Improved optimisation through advanced relationship planning." Supply Chain Management: An International Journal 11, no. 6 (2006): 483–90. http://dx.doi.org/10.1108/13598540610703873.

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Napalkova, Liana, and Galina Merkuryeva. "MULTI-OBJECTIVE STOCHASTIC SIMULATION-BASED OPTIMISATION APPLIED TO SUPPLY CHAIN PLANNING." Technological and Economic Development of Economy 18, no. 1 (2012): 132–48. http://dx.doi.org/10.3846/20294913.2012.661190.

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The paper discusses the optimisation of complex management processes, which allows the reduction of investment costs by setting the optimal balance between product demand and supply. The systematisation of existing methods and algorithms that are used to optimise complex processes by linking stochastic discrete-event simulation and multi-objective optimisation is given. The two-phase optimisation method is developed based on hybrid combination of compromise programming, evolutionary computation and response surface-based methods. Approbation of the proposed method is performed on the multi-ech
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Ab Rashid, Mohd Fadzil Faisae, Windo Hutabarat, and Ashutosh Tiwari. "Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 8 (2016): 1444–59. http://dx.doi.org/10.1177/0954405416673095.

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In assembly optimisation, assembly sequence planning and assembly line balancing have been extensively studied because both activities are directly linked with assembly efficiency that influences the final assembly costs. Both activities are categorised as NP-hard and usually performed separately. Assembly sequence planning and assembly line balancing optimisation presents a good opportunity to be integrated, considering the benefits such as larger search space that leads to better solution quality, reduces error rate in planning and speeds up time-to-market for a product. In order to optimise
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Yu, Dexin, Xuesong Zhang, Guangdong Tian, et al. "Disassembly Sequence Planning for Green Remanufacturing Using an Improved Whale Optimisation Algorithm." Processes 10, no. 10 (2022): 1998. http://dx.doi.org/10.3390/pr10101998.

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Currently, practical optimisation models and intelligent solution algorithms for solving disassembly sequence planning are attracting more and more attention. Based on the importance of energy efficiency in product disassembly and the trend toward green remanufacturing, this paper proposes a new optimisation model for the energy-efficient disassembly sequence planning. The minimum energy consumption is used as the evaluation criterion for disassembly efficiency, so as to minimise the energy consumption during the dismantling process. As the proposed model is a complex optimization problem, cal
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Dissertations / Theses on the topic "Planning optimisation"

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Dos, Santos De Oliveira Rafael. "Bayesian Optimisation for Planning under Uncertainty." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20762.

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Under an increasing demand for data to understand critical processes in our world, robots have become powerful tools to automatically gather data and interact with their environments. In this context, this thesis addresses planning problems where limited prior information leads to uncertainty about the outcomes of a robot's decisions. The methods are based on Bayesian optimisation (BO), which provides a framework to solve planning problems under uncertainty by means of probabilistic modelling. As a first contribution, the thesis provides a method to find energy-efficient paths over unknown te
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Morere, Philippe. "Bayesian Optimisation for Planning And Reinforcement Learning." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21230.

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This thesis addresses the problem of achieving efficient non-myopic decision making by explicitly balancing exploration and exploitation. Decision making, both in planning and reinforcement learning (RL), enables agents or robots to complete tasks by acting on their environments. Complexity arises when completing objectives requires sacrificing short-term performance in order to achieve better long-term performance. Decision making algorithms with this characteristic are known as non-myopic, and require long sequences of actions to be evaluated, thereby greatly increasing the search space size
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Marchant, Matus Roman. "Bayesian Optimisation for Planning in Dynamic Environments." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/14497.

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This thesis addresses the problem of trajectory planning for monitoring extreme values of an environmental phenomenon that changes in space and time. The most relevant case study corresponds to environmental monitoring using an autonomous mobile robot for air, water and land pollution monitoring. Since the dynamics of the phenomenon are initially unknown, the planning algorithm needs to satisfy two objectives simultaneously: 1) Learn and predict spatial-temporal patterns and, 2) find areas of interest (e.g. high pollution), addressing the exploration-exploitation trade-off. Consequently, the t
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Dowie, Tracy Ann. "A disassembly planning and optimisation methodology for design." Thesis, Manchester Metropolitan University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283082.

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Gregory, Christine. "Robust optimisation and its application to portfolio planning." Thesis, Brunel University, 2009. http://bura.brunel.ac.uk/handle/2438/3638.

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Decision making under uncertainty presents major challenges from both modelling and solution methods perspectives. The need for stochastic optimisation methods is widely recognised; however, compromises typically have to be made in order to develop computationally tractable models. Robust optimisation is a practical alternative to stochastic optimisation approaches, particularly suited for problems in which parameter values are unknown and variable. In this thesis, we review robust optimisation, in which parameter uncertainty is defined by budgeted polyhedral uncertainty sets as opposed to ell
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Dimopoulos, Christos. "Genetic programming for manufacturing optimisation." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327668.

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Rowbottom, Carl Graham. "Optimisation of beam-orientations in conformal radiotherapy treatment planning." Thesis, Institute of Cancer Research (University Of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314088.

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Haas, O. C. L. "Optimisation and control systems modelling in radiotherapy treatment planning." Thesis, Coventry University, 1997. http://curve.coventry.ac.uk/open/items/fc7aad2f-a43a-4045-adb0-9afa7e9033b3/1.

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Khwandah, Sinan. "System optimisation and radio planning for future LTE-advanced." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/13822.

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This work is related to wireless communication. In this Thesis three main issues are addressed for future cellular networks: power consumption, interference and mobility. These issues continue to be a burden on the system’s performance as long as technology keeps evolving. In the presented chapters, the focus was to introduce greater intelligence to the LTE system algorithms and bring to them a dynamic and self-organizing approach. The first approach concerns power consumption in wireless terminals. The currently applied solution to save energy is the DRX mechanism. It organizes the time when
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Garmabdari, Rasoul. "Multi-Energy Microgrid Systems Planning and Energy Management Optimisation." Thesis, Griffith University, 2020. http://hdl.handle.net/10072/398878.

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Conventional power systems are predominantly composed of centralised large-scale generation sites that provide electricity to a large number of customers in a top-down unidirectional fashion and through transmission and distribution networks. To increase penetration of Renewable Energy Resources (RES) into this traditional power system and promotion of Distributed Energy Resources (DER) concept as an effective solution to deal with the challenges being faced in the conventional power system such as the energy losses, peak demand, peak generation, the infrastructure depreciation, and environmen
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Books on the topic "Planning optimisation"

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Mishra, Ajay R., ed. Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.

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Laiho, Jaana, Achim Wacker, and Tomá?? Novosad, eds. Radio Network Planning and Optimisation for UMTS. John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/9780470031407.

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Mishra, Ajay R. Fundamentals of Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2004. http://dx.doi.org/10.1002/0470862696.

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Jaana, Laiho, Wacker Achim, and Novosad Tomáš, eds. Radio network planning and optimisation for UMTS. Wiley, 2002.

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Jaana, Laiho, Wacker Achim, and Novosad Tomáš, eds. Radio network planning and optimisation for UMTS. Wiley, 2005.

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Nawrocki, Maciej J., Mischa Dohler, and A. Hamid Aghvami, eds. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470030569.

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Mishra, Ajay R. Fundamentals of Network Planning and Optimisation 2G/3G/4G. John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119331797.

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Commission, European, ed. Optimisation of policies for transport integration in metropolitan areas: Optima. Office for Official Publications of the European Communities, 1998.

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yliopisto, Oulun, ed. Milled peat production optimisation: A study of the development of the planning system. Oulun yliopisto, 1997.

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Mishra, Ajay R. Fundamentals of cellular network planning and optimisation: 2G/2.5G/3G- evolution to 4G. Wiley, 2004.

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Book chapters on the topic "Planning optimisation"

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O’Sullivan, Patrick, Gary D. Holtzclaw, and Gerald Barber. "Deterministic Optimisation." In Transport Network Planning. Routledge, 2022. http://dx.doi.org/10.4324/9781003182993-5.

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Monkhouse, P. H. L., and G. A. Yeates. "Beyond Naïve Optimisation." In Advances in Applied Strategic Mine Planning. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69320-0_1.

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Kähkönen, Johanna, Nezha Larhrissi, Cameron Gillis, Mika Särkioja, Ajay R. Mishra, and Tarun Sharma. "Radio Network Planning and Optimisation." In Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.ch2.

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Mishra, Ajay R., and Jussi Viero. "Transmission Network Planning and Optimisation." In Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.ch3.

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Mungai, James, Sameer Mathur, Carlos Crespo, and Ajay R. Mishra. "Core Network Planning and Optimisation." In Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.ch4.

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Öhman, Karin. "Spatial Optimisation in Forest Planning." In Managing Forest Ecosystems. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-015-9906-1_7.

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Mattina, Massimiliano. "Appendix D: TETRA Network Planning." In Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.app4.

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Erlebach, Karsten, Zbigniew Jóskiewicz, and Marcin Ney. "UTRAN Transmission Infrastructure Planning and Optimisation." In Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470030569.ch17.

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Hazra, Joydeep. "Appendix A: Roll-Out Network Project Management." In Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.app1.

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Sánchez-Mejías, Rafael. "Appendix B: HSDPA." In Advanced Cellular Network Planning and Optimisation. John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/9780470057629.app2.

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Conference papers on the topic "Planning optimisation"

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Johnn, Syu-Ning, Hasan Nikkhah, Meng-Lin Tsai, Styliani Avraamidou, Burcu Beykal, and Vassilis M. Charitopoulos. "Data-Driven Chance-Constrained Mixed Integer Nonlinear Bi-level Optimisation Via Copulas: Application To Integrated Planning And Scheduling Problems." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.169891.

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Planning and scheduling are integral components of process supply chains. The presence of data correlation, particularly multivariate demand data dependency, can pose significant challenges to the decision-making process. This necessitates the consideration of dependency structures inherent in the underlying data to generate good-quality, feasible solutions to optimisation problems such as planning and scheduling. This work proposes a chance-constrained optimisation framework integrated with copulas, a non-parametric data estimation technique to forecast uncertain demand levels in accordance w
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Salehiamiri, Seyedamirhossein, Richard Allmendinger, and Arijit De. "Real-Time IoMT-driven Optimisation for Large-Scale Home Health Care Planning." In 16th International Conference on Evolutionary Computation Theory and Applications. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012938900003837.

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Zhang, Mengxuan, Kun Ma, Long Liu, and Wenbo Zhang. "Multiobjective Spherical Vector-Based Particle Swarm Optimisation for 3D UAV Path Planning." In 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS). IEEE, 2024. http://dx.doi.org/10.1109/docs63458.2024.10704375.

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Geng, Guangjian, Yiqing Huang, and Huacai Lu. "Hybrid Chaos Mapping Improved Grey Wolf Optimisation Algorithm for UAV Path Planning." In 2024 7th International Conference on Robotics, Control and Automation Engineering (RCAE). IEEE, 2024. https://doi.org/10.1109/rcae62637.2024.10834227.

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Lin, Tingting, Guilian Wu, Wei Ye, and Lu Tang. "Optimisation Method of Distribution Network Planning and Construction Investment Analysis Considering the Substation Requirement." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733185.

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Wang, Mingyu, Jie Wang, Chuxiang Feng, Qidi Wang, Peilin Li, and Kai Zhang. "Coordinated Optimisation of Reactive Load Planning by Distributed Power Sources and Self-saturated Reactors." In 2024 7th International Conference on Electronics Technology (ICET). IEEE, 2024. http://dx.doi.org/10.1109/icet61945.2024.10672936.

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Ting, Stephanie Yeo Ken, and Tiong Teck Chai. "WCDMA Network Planning and Optimisation." In 2nd Malaysia Conferenced on Photonics (MCP). IEEE, 2008. http://dx.doi.org/10.1109/nctt.2008.4814295.

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Syu, Wan-Syuan, and Jui-Yuan Lee. "Regional energy planning using mathematical optimisation." In 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP). IEEE, 2017. http://dx.doi.org/10.1109/adconip.2017.7983813.

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Mueller, A., S. Linder, A. Saade, et al. "Urban planning measures for solar optimisation." In The Sustainable City 2012. WIT Press, 2012. http://dx.doi.org/10.2495/sc120562.

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Jamaa, S. B., Z. Altman, J. M. Picard, and B. Fourestie. "Combined coverage and capacity optimisation for UMTS networks." In 11th International Telecommunications Network Strategy and Planning Symposium. IEEE, 2004. http://dx.doi.org/10.1109/netwks.2004.240881.

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Reports on the topic "Planning optimisation"

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Lindquist, Joachim, and Henning de Haas. Creating Supply Chain Resilience Through Scenario Planning: How a Digital Twin Can Be Used To Enhance Supply Chain Resilience Through Scenario Planning. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.435.

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This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This pr
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Leidermark, Daniel, and Magnus Andersson, eds. Reports in Applied Mechanics 2022. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/9789180754156.

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This is the first volume of the concurring series of Reports in Applied Mechanics, which is based on the outcome of the advanced project course TMPM07 in Applied Mechanics at Link¨oping University during the autumn of 2022. The course lay-up is based on several industrial related projects within the field of Solid Mechanics, concerning fatigue, topology optimisation, structural dimensioning, contacts etc, and Fluid Mechanics, concerning fluid dynamics, flow, aerodynamics, heat transfer etc. The students tackle industry relevant projects in close collaboration with industry from near and neighb
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Fent, Thomas, Stefan Wrzaczek, Gustav Feichtinger, and Andreas Novak. Fertility decline and age-structure in China and India. Verlag der Österreichischen Akademie der Wissenschaften, 2024. http://dx.doi.org/10.1553/0x003f0d14.

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China and India, two Asian countries that experienced a rapid decline in fertility since the middle of the twentieth century, are the focus of this paper. Although there is no doubt that lower fertility levels have many positive effects on the economy, development and sustainability, little is known about the optimal transition from high to medium or even low levels of fertility. Firstly, implementing policies that have the potential to reduce fertility is costly. Secondly, additional costs arise from adapting the infrastructure to a population that fluctuates quickly not only in terms of size
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Eriksson, Robert, and Magnus Andersson. Reports in Applied Mechanics 2023. Edited by Daniel Leidermark. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/9789180755917.

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This is the second volume of the concurring series of Reports in Applied Mechanics, which is based on the outcome of the advanced project course TMPM10 in Applied Mechanics at Linköping University during the autumn of 2023. The course lay-up is based on several industrial or in-house research related projects within the field of Solid Mechanics concerning fatigue, topology optimisation, structural dimensioning, contacts etc, and Fluid Mechanics concerning fluid dynamics, flow, aerodynamics, heat transfer etc. The students tackle industry or forefront research relevant projects in close collabo
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Andersson, Magnus. Reports in Applied Mechanics 2024. Edited by Daniel Leidermark. Linköping University Electronic Press, 2025. https://doi.org/10.3384/9789180759458.

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This is the third volume of the concurring series of Reports in Applied Mechanics, which is based on the outcome of the advanced project course TMPM10 in Applied Mechanics at Link¨oping University during the autumn of 2024. The course lay-up is based on several industrial or in-house research related projects within the field of Solid Mechanics concerning fatigue, topology optimisation, structural dimensioning, contacts etc, and Fluid Mechanics concerning fluid dynamics, flow, aerodynamics, heat transfer etc. The students tackle industry or forefront research relevant projects in close collabo
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