Relevant bibliographies by topics / Cost model optimisation

Contents

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

Academic literature on the topic 'Cost model optimisation'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Cost model optimisation"

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Sahay, S. S., and K. Mitra. "Cost Model Based Optimisation Of Carburising Operation." Surface Engineering 20, no. 5 (2004): 379–84. http://dx.doi.org/10.1179/026708404x1143.

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Yeo, S. H., B. K. A. Ngoi, and H. Chen. "A cost-tolerance model for process sequence optimisation." International Journal of Advanced Manufacturing Technology 12, no. 6 (1996): 423–31. http://dx.doi.org/10.1007/bf01186931.

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Delelegn, S. W., A. Pathirana, B. Gersonius, A. G. Adeogun, and K. Vairavamoorthy. "Multi-objective optimisation of cost–benefit of urban flood management using a 1D2D coupled model." Water Science and Technology 63, no. 5 (2011): 1053–59. http://dx.doi.org/10.2166/wst.2011.290.

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This paper presents a multi-objective optimisation (MOO) tool for urban drainage management that is based on a 1D2D coupled model of SWMM5 (1D sub-surface flow model) and BreZo (2D surface flow model). This coupled model is linked with NSGA-II, which is an Evolutionary Algorithm-based optimiser. Previously the combination of a surface/sub-surface flow model and evolutionary optimisation has been considered to be infeasible due to the computational demands. The 1D2D coupled model used here shows a computational efficiency that is acceptable for optimisation. This technological advance is the re
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Khalil, Jean, Sameh M. Saad, and Nabil Gindy. "An integrated cost optimisation maintenance model for industrial equipment." Journal of Quality in Maintenance Engineering 15, no. 1 (2009): 106–18. http://dx.doi.org/10.1108/13552510910943912.

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Pati, Rupesh Kumar, Prem Vrat, and Pradeep Kumar. "Cost optimisation model in recycled waste reverse logistics system." International Journal of Business Performance Management 6, no. 3/4 (2004): 245. http://dx.doi.org/10.1504/ijbpm.2004.005631.

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Glavan, Miha, Dejan Gradišar, Serena Invitto, et al. "Cost optimisation of supermarket refrigeration system with hybrid model." Applied Thermal Engineering 103 (June 2016): 56–66. http://dx.doi.org/10.1016/j.applthermaleng.2016.03.177.

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March, A., K. Willcox, and Q. Wang. "Gradient-based multifidelity optimisation for aircraft design using Bayesian model calibration." Aeronautical Journal 115, no. 1174 (2011): 729–38. http://dx.doi.org/10.1017/s0001924000006473.

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Abstract Optimisation of complex systems frequently requires evaluating a computationally expensive high-fidelity function to estimate a system metric of interest. Although design sensitivities may be available through either direct or adjoint methods, the use of formal optimisation methods may remain too costly. Incorporating low-fidelity performance estimates can substantially reduce the cost of the high-fidelity optimisation. In this paper we present a provably convergent multifidelity optimisation method that uses Cokriging Bayesian model calibration and first-order consistent trust region
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Altin, Cemil. "Differential Evolution Algorithm Based Very Fast Renewable Energy System Optimisation Tool Design." Elektronika ir Elektrotechnika 29, no. 4 (2023): 44–53. http://dx.doi.org/10.5755/j02.eie.33872.

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In this study, an optimisation tool that uses the differential evolution algorithm with a special distribution strategy is designed for the first time to be used in the optimisation of hybrid renewable energy systems. The developed tool and the hybrid optimisation model for multiple energy resources (HOMER) optimisation programme were compared. The tool is much faster than the HOMER programme and can produce almost the same results as HOMER. In addition, a heuristic-based optimisation technique was used for the first time to generate extremely comprehensive findings. The capacity shortage para
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WANG, Zeyu, Fujian CHEN, and Chengcheng MO. "Optimisation Methods for Cold Chain Logistics Path Considering Carbon Emission Costs in Time-Varying Networks." Promet - Traffic&Transportation 36, no. 6 (2024): 1103–19. https://doi.org/10.7307/ptt.v36i6.735.

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With the escalating global climate change, the cost of carbon emissions has become a crucial metric for evaluating the sustainability of logistics systems. This study addresses the optimisation of cold chain logistics routes in a time-varying network environment, considering the carbon emission cost factor, and proposes an enhanced particle swarm optimisation algorithm to solve this optimisation problem. Firstly, we establish a cold chain logistics optimisation model that incorporates the time-varying network, integrating logistics route planning with carbon emission costs. Subsequently, we de
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Tee, Kong Fah, and Ejiroghene Ekpiwhre. "Strategic cost modelling and optimisation for highway asset maintenance." Journal of Quality in Maintenance Engineering 26, no. 2 (2019): 198–212. http://dx.doi.org/10.1108/jqme-12-2016-0084.

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Purpose The purpose of this paper is to propose and confer a strategic cost model as a concept for good decision making for highway asset treatment in the transport industry. Design/methodology/approach The paper is based on asset performance condition and treatment renewals using a five-point performance for developing prospective treatment strategies. The strategic cost model is presented in the similitude of picturesque and its outcomes via an exploratory data analysis. Findings The results articulate the best maintenance plan for the forthcoming and future years. The strategic cost model u
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Dissertations / Theses on the topic "Cost model optimisation"

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Wang, Mengyu. "Model-based Optimisation of Mixed Refrigerant LNG Processes." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17387.

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Natural gas liquefaction processes are energy and cost intensive. This thesis pursues the optimisation of propane precooled mixed refrigerant (C3MR) processes considering variations in upstream gas well conditions, in order to maximise gas well life. Four objective functions were selected for the design optimisation of the C3MR and dual mixed refrigerant (DMR) processes: 1) total shaft work (W), 2) total capital investment, 3) total annualised cost, and 4) total capital cost of both compressors and main cryogenic heat exchanger (MCHE). Optimisation results show that objective function 4 is mor
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Viduto, Valentina. "A risk assessment and optimisation model for minimising network security risk and cost." Thesis, University of Bedfordshire, 2012. http://hdl.handle.net/10547/270440.

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Network security risk analysis has received great attention within the scientific community, due to the current proliferation of network attacks and threats. Although, considerable effort has been placed on improving security best practices, insufficient effort has been expanded on seeking to understand the relationship between risk-related variables and objectives related to cost-effective network security decisions. This thesis seeks to improve the body of knowledge focusing on the trade-offs between financial costs and risk while analysing the impact an identified vulnerability may have on
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Burnett, Robert Carlisle. "A trade-off model between cost and reliability during the design phase of software development." Thesis, University of Newcastle Upon Tyne, 1995. http://hdl.handle.net/10443/2104.

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This work proposes a method for estimating the development cost of a software system with modular structure taking into account the target level of reliability for that system. The required reliability of each individual module is set in order to meet the overall required reliability of the system. Consequently the individual cost estimates for each module and the overall cost of the software system are linked to the overall required reliability. Cost estimation is carried out during the early design phase, that is, well in advance of any detailed development. Where a satisfactory compromise b
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Wang, Lina. "A multi-disciplinary optimisation model for passenger aircraft wing structures with manufacturing and cost considerations." Thesis, University of Salford, 2000. http://usir.salford.ac.uk/26957/.

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In traditional aircraft wing structural design, the emphasis has been on pursuing the minimum weight or improved performance. The manufacturing complexity or cost assessments are rarely considered because it is usually assumed that the minimum weight design is also the minimum cost design. However, experience from industry has shown that this is not necessarily the case. It has been realised that in the cases where no manufacturing constraints are imposed, the extra machining cost can erode the advantages of the reduced weight. As manufacturing cost includes material cost and machining cost, w
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Low, Wei Zhe. "Towards cost model-driven log-based business process improvement." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/97727/1/Wei%20Zhe_Low_Thesis.pdf.

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This doctoral study focused on analysing business process execution histories to initiate evidence-based business process improvement activities. The researcher developed techniques to explore and visualise better ways of executing a business process, as well as to analyse the impact of the changes towards cost reduction. This research enables organisations to gain a better understanding of how the same business process can be performed in a more efficient manner, taking into consideration the trade-offs between processing time, cost, and employee utilisation.
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Moberg, Pontus, and Filip Svensson. "Cost Optimisation through Statistical Quality Control : A case study on the plastic industry." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21922.

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Background. Shewhart was the first to describe the possibilities that come with having a statistically robust process in 1924. Since his discovery, the importance of a robust process became more apparent and together with the consequences of an unstable process. A firm with a manufacturing process that is out of statistical control tends to waste money, increase risks, and provide an uncertain quality to its customers. The framework of Statistical Quality Control has been developed since its founding, and today it is a well-established tool used in several industries with successful results. W
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Liu, Tianxao. "Proposition d'un cadre générique d'optimisation de requêtes dans les environnements hétérogènes et répartis." Thesis, Cergy-Pontoise, 2011. http://www.theses.fr/2011CERG0513.

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Dans cette thèse, nous proposons un cadre générique d'optimisation de requêtes dans les environnements hétérogènes répartis. Nous proposons un modèle générique de description de sources (GSD), qui permet de décrire tous les types d'informations liées au traitement et à l'optimisation de requêtes. Avec ce modèle, nous pouvons en particulier obtenir les informations de coût afin de calculer le coût des différents plans d'exécution. Notre cadre générique d'optimisation fournit les fonctions unitaires permettant de mettre en œuvre les procédures d'optimisation en appliquant différentes stratégies
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Belghoul, Abdeslem. "Optimizing Communication Cost in Distributed Query Processing." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC025/document.

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Dans cette thèse, nous étudions le problème d’optimisation du temps de transfert de données dans les systèmes de gestion de données distribuées, en nous focalisant sur la relation entre le temps de communication de données et la configuration du middleware. En réalité, le middleware détermine, entre autres, comment les données sont divisées en lots de F tuples et messages de M octets avant d’être communiqués à travers le réseau. Concrètement, nous nous concentrons sur la question de recherche suivante : étant donnée requête Q et l’environnement réseau, quelle est la meilleure configuration de
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Verrecht, Bart. "Optimisation of a hollow fibre membrane bioreactor for water reuse." Thesis, Cranfield University, 2010. http://dspace.lib.cranfield.ac.uk/handle/1826/6779.

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Over the last two decades, implementation of membrane bioreactors (MBRs) has increased due to their superior effluent quality and low plant footprint. However, they are still viewed as a high-cost option, both with regards to capital and operating expenditure (capex and opex). The present thesis extends the understanding of the impact of design and operational parameters of membrane bioreactors on energy demand, and ultimately whole life cost. A simple heuristic aeration model based on a general algorithm for flux vs. aeration shows the benefits of adjusting the membrane aeration intensity to
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Antomarchi, Anne-Lise. "Conception et pilotage d'un atelier intégrant la fabrication additive." Thesis, Université Clermont Auvergne‎ (2017-2020), 2019. http://www.theses.fr/2019CLFAC035/document.

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La fabrication additive est un domaine en plein essor. Cependant, les industriels sont aujourd’hui dans une phase d’interrogation sur l’utilisation de ce procédé dans le cadre d’une production de masse. La problématique posée dans le cadre de ces travaux de recherche est : Comment rendre viable, industriellement, le procédé de fusion sur lit de poudre ? Nos travaux abordent la conception et le pilotage d’ateliers intégrant la fabrication additive et le processus complet d’obtention de la pièce selon les trois niveaux de décision : stratégique, tactique et opérationnel. D’un point du vue straté
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Books on the topic "Cost model optimisation"

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Supply Chain Optimisation: Product/Process Design, Facility Location and Flow Control. Springer London, Limited, 2006.

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Dolgui, Alexandre, Oleg Zaikin, and Jerzy Soldek. Supply Chain Optimisation: Product/Process Design, Facility Location and Flow Control. Springer, 2014.

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(Editor), Alexandre Dolgui, Jerzy Soldek (Editor), and Oleg Zaikin (Editor), eds. Supply Chain Optimisation: Product/Process Design, Facility Location and Flow Control (Applied Optimization). Springer, 2004.

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Book chapters on the topic "Cost model optimisation"

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Amaitik, Nasser, Ming Zhang, Kaifeng Wang, Yuchun Xu, and Peihua Gu. "Enhancing Sustainability in Manufacturing Through Life Cycle Optimization of Industrial Equipment." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93891-7_58.

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Abstract In the drive towards sustainable manufacturing, extending the service life and improving efficiency of industrial equipment are crucial. Industrial equipment faces challenges of deterioration caused by wear, fatigue etc. effects. Effective maintenance is essential for minimizing the effect of these challenges. This research introduces an integrated model that facilitates the sustainable operation of industrial equipment through life cycle optimization. The model determines optimal maintenance schedules over life cycle by integrating multiple sub-models to analyze equipment. These sub-
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Ashraf, R. J., Jonathan D. Nixon, and J. Brusey. "Multi-objective Optimisation of a Wastewater Anaerobic Digestion System." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_25.

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AbstractThis paper looks at multi-objective optimisation of a wastewater AD system where the model is demonstrated for a case study plant. Anaerobic Digestion Model No. 1 (ADM1) was used to predict biogas yields from the digester. Interviews, with plant owners, and plant data were used to identify the objective functions and decision variables. The decision variables were defined to be the substrate feeding rate for each of the digesters and the ratio of biogas sent between a combined heat and power (CHP) plant and a biogas upgrading unit (BUU). The objectives set were to maximise the overall
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Huang, G., Y. Zhuge, T. Benn, and Y. Liu. "Optimisation of Limestone Calcined Clay Cement Based on Response Surface Method." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_13.

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AbstractLimestone calcined clay cement (LC3) is a new type of cement that contains Portland cement, calcined clay, and limestone. Compared with traditional cement clinker, LC3 reduces CO2 emissions by up to 40%, and is a promising technology for the cement industry to achieve its emission target. We used a numerical approach to predict the optimum composition of LC3 mortar. The experiments were performed using central composite rotational design under the response surface methodology. The method combined the design of mixtures and multi-response statistical optimization, in which the 28-day co
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Wilkie, Bernard, Karla Muñoz Esquivel, and Jamie Roche. "An LSTM Framework for the Effective Screening of Dementia for Deployment on Edge Devices." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_2.

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AbstractDementia is a series of neurodegenerative disorders that affect 1 in 4 people over the age of 80 and can greatly reduce the quality of life of those afflicted. Alzheimer’s disease (AD) is the most common variation, accounting for roughly 60% of cases. The current financial cost of these diseases is an estimated $1.3 trillion per year. While treatments are available to help patients maintain their mental function and slow disease progression, many of those with AD are asymptomatic in the early stages, resulting in late diagnosis. The addition of the routine testing needed for an effecti
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Rakshit, D. M., Anthony Robinson, and Aimee Byrne. "A Dynamic-Based Methodology for Optimising Insulation Retrofit to Reduce Total Carbon." In Creating a Roadmap Towards Circularity in the Built Environment. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45980-1_7.

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AbstractOptimisation is frequently mentioned in frameworks and assessments of design for a circular economy. Adopting circular economy principles in building retrofit can reduce the use of materials and minimise emissions embedded in building materials alongside reduced operational emissions. This paper presents the optimisation of retrofitted insulation thickness, using Ireland as a case study. Detailed and robust dynamic finite element models were developed based on in-situ boundary conditions and combined with economic and environmental considerations. It was determined that optimising insu
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Zeng, Tongyan, Essam F. Abo-Serie, Manus Henry, and James Jewkes. "Thermal Optimisation Model for Cooling Channel Design Using the Adjoint Method in 3D Printed Aluminium Die-Casting Tools." In Springer Proceedings in Energy. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30960-1_31.

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AbstractIn the present study, the adjoint method is introduced to the optimisation of the corner cooling element in two baseline cooling designs for a mould cavity, as examples of the Aluminium metal die-casting process. First, a steady thermal model simulating the Aluminium die-casting process is introduced for the two-corner cooling design scenario. This steady model serves as the first iteration of the optimised model using the adjoint method. A dual-parameter objective function targets the interfacial temperature standard deviation and pressure drop across the internal cooling region. For
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Acharyya, Madhu, and Ahmed Abdullah Abdelkarrim Abdullah Zarroug. "Optimisation of Insurance Capital and Reserve Using Catastrophe Bonds." In Contemporary Financial Management. Institute for Local Self-Government Maribor, 2023. http://dx.doi.org/10.4335/2023.3.20.

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The study proposed a model to optimise the size of catastrophe bonds within firms’ capital structure and minimize the cost of capital within the scope of Insurative Model proposed by Shimpi (2001, 2002). To do so, a linear optimisation model has been developed, considering the Solvency 2 ratio as a constraint. The linear optimisation model suggests two mixes of the capital structures, one with a size of CAT-BOND 1.24% and the other 55.34% of the capital. In addition, the study concluded to the optimum allocation of CAT-BOND adds value to insurance companies.
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Anye Cho, Bovinille. "Surrogate and Multiscale Modelling for (Bio)reactor Scale-up and Visualisation." In Machine Learning and Hybrid Modelling for Reaction Engineering. Royal Society of Chemistry, 2023. http://dx.doi.org/10.1039/bk9781837670178-00277.

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Bioresource production in bioreactors presents a sustainable biotechnology for tackling the ever-increasing energy and mass demands of the world’s surging population. To attain commercial viability, reaction engineers must efficiently design and upscale these bioreactors for the industrial production of high value biochemicals, fuels, and materials. These engineers utilise computational fluid dynamics (CFD) to visualise bioreactor fluid flow and optimise dead zones with poor mixing, leading to promising bioreactor configurations. An advanced route, yet to be widely deployed, is the integration
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Sharma, Prerna, and Bhim Singh. "Optimization of Various Costs in Inventory Management using Neural Networks." In Advanced Mathematical Applications in Data Science. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815124842123010009.

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The process of maintaining the right quantity of inventory to meet demand, minimising logistics costs, and avoiding frequent inventory problems, including reserve outs, overstocking, and backorders is known as inventory optimisation. One has a finite capacity and is referred to as an owned warehouse (OW), which is located near the market, while the other has an endless capacity and is referred to as a rented warehouse (RW), which is located away from the market. Here, lowering the overall cost is the goal. Neural networks are employed in these works to either maximise or minimise cost. The fin
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Tusch Guenter. "A Model for Optimal Sequential Decisions Applied to Liver Transplantation." In Studies in Health Technology and Informatics. IOS Press, 2000. https://doi.org/10.3233/978-1-60750-921-9-758.

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The present investigation aims at the construction of a sequential decision rule derived from a decision-theoretic model. An optimal clinical management strategy based on patient risk assessment is to be found. A novel decision theoretic cost model has been selected for this clinical classification task: costs were determined by specifying a minimum acceptable sensitivity and specificity of the overall procedure. Non-linear optimisation combined with a robust partial classification method is used to find the earliest possible decision step where a final decision can be made subject to these qu
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Conference papers on the topic "Cost model optimisation"

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Aldren, Cameron, Nilay Shah, and Adam Hawkes. "Optimisation Under Uncertain Meteorology: Stochastic Modelling of Hydrogen Export Systems." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.191427.

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Deriving accurate cost projections associated with producing hydrogen within the context of an energy-export paradigm is a challenging feat due to non-deterministic nature of weather systems. Many research efforts employ deterministic models to estimate costs, which could be biased by the innate ability of these models to �see the future�. To this end we present the findings of a multistage stochastic model of hydrogen production for energy export (using liquid hydrogen or ammonia as energy vectors), the findings of which are compared to that of a deterministic programme. Our modelling found t
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Rosbo, Joachim W., Anker D. Jensen, John B. J�rgensen, Sigurd Skogestad, and Jakob K. Huusom. "Optimisation of a Haber-Bosch Synthesis Loop for PtA." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.122254.

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This work presents a plantwide model of a Haber-Bosch ammonia synthesis loop (HB-loop) in a PtA plant, consisting of heat exchangers, compressors, steam turbines, flash separators and catalytic reactor beds. The total electrical power utility of the HB-loop is a combination of compressor power, refrigeration power, and steam turbine power. We optimise the HB-loop operating parameters, subject to constraints for maximum reactor temperatures, compressor choke and stall, minimum steam temperature, and maximum loop pressure. The loop features six degrees of freedom (DOFs) for the optimisation: thr
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Zhang, Lifeng, Beno�t Chachuat, and Claire S. Adjiman. "Accelerating Solvent Design Optimisation with Group-Contribution Machine Learning Surrogate Classifiers." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.166568.

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Asserting the phase stability of multi-component mixtures is an important task in computer-aided mixture/blend design (CAMbD), but it is often hindered by the lack of reliable and tractable models. In this paper, we propose a group-contribution machine-learning (GC-ML) method to predict phase coexistence for a large set of ternary mixtures consisting of two solvents and one (fixed) solute. Each solvent is represented by a vector of functional group numbers, encoded by integer values. The solvent vectors are combined with mixture composition and temperature to form the input features to a GC-ML
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Huang, Shengyuan, Olajide Otitoju, Yao Zhang, and Meihong Wang. "Technical Assessment of direct air capture using piperazine in an advanced solvent-based absorption process." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.124483.

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Climate and environmental problems caused by increasing CO2 concentration in the atmosphere make the direct air capture (DAC) technology having great prospects for development. As the widely used solvent in carbon capture based on chemical absorption processes, MEA still fails to address the issues of high energy consumption and high costs when used in DAC process. In this study, piperazine (PZ) was used as the new solvent for DAC process. The new configuration was simulated in Aspen Plus� V11 and the model was validated through experimental data and model comparison. It is followed by investi
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Babadi, Hourissa Soleymani, and Lazaros G. Papageorgiou. "Optimisation of Carbon Capture Utilisation and Storage Supply Chains Under Carbon Trading and Taxation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.194067.

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In recent years, several strategies have been developed to reduce the carbon dioxide (CO2) released into the atmosphere. Carbon Capture, Storage and Utilisation (CCUS) is one of the proposed solutions. However, CCUS systems are expensive to install and operate. Furthermore, most studies in the literature have focused on CO2 utilisation and storage separately, without accounting for the effects of other CO2 emission management strategies. To address this gap, a Mixed Integer Linear Programming (MILP) framework for a supply chain network is developed in this work, incorporating CO2 storage, util
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Halvorsen, Ivar J., Leontine I. M. Aarnoudse, Mark A. M. Haring, and Sigurd Skogestad. "Extremum seeking control applied to operation of dividing wall column � DWC." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.105824.

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The dividing wall column (DWC) has significant energy saving potential compared to conventional column sequences. However, to reach these savings in practice, it is essential that the control structures can track the optimal operation point despite inevitable changes in feed properties, performance characteristics and other uncertainties. Otherwise, the energy consumption may rise significantly or, more commonly, the DWC becomes unable to produce pure products even at its maximum reboiler duty. Extremum seeking control (ESC) is a model-free optimisation technique that may mitigate off-optimal
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Cho, Bovinille Anye, George Mbella Teke, Godfrey K. Gakingo, Robert W. M. Pott, and Dongda Zhang. "CFD Simulations of Mixing Dynamics and Photobioreaction Kinetics in Miniature Bioreactors under Transitional Flow Regimes." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.197756.

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Miniaturised stirred bioreactors are crucial in high-throughput bioprocesses for their simplicity and cost-effectiveness. To accelerate process optimisation in chemical and bioprocess industries, models that integrate CFD-predicted flow fields with (bio)reaction kinetics are needed. However, conventional two-step coupling methods, which freeze flow fields after solving hydrodynamics and then address (bio)reaction transport, face numerical challenges in miniaturised systems due to unsteady radial flows, recirculation zones, and secondary vortices. These flow fluctuations prevent steady-state hy
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Hidayat, Azis, Noke Fajar Prakoso, Ahmad Sujai, and PT Medco. "Production and Cost Optimization in a Complex Onshore Operation Using Integrated Production Model." In SPE Symposium: Production Enhancement and Cost Optimisation. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/189223-ms.

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Jin, X., Hui Zhang, Guoqing Yin, Xingjie Han, and D. Zhu. "Applying the Integrated 3D Acid Fracturing Model Using a New Workflow in a Field Case Study." In SPE Symposium: Production Enhancement and Cost Optimisation. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/189217-ms.

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Harrington, Cian, N. Vaughan, Jeffrey Allen, Benajmin David Smither, and Gavin Farmer. "Low Cost Hybrid Motorcycle Optimisation Model." In Small Engine Technology Conference & Exposition. SAE International, 2010. http://dx.doi.org/10.4271/2010-32-0131.

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Reports on the topic "Cost model optimisation"

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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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Abstract:
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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