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Journal articles on the topic 'Cost model optimisation'

Author: Grafiati

Published: 8 June 2024

Last updated: 31 July 2025

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1

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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Gorman, Richard M., and Hilary J. Oliver. "Automated model optimisation using the Cylc workflow engine (Cyclops v1.0)." Geoscientific Model Development 11, no. 6 (2018): 2153–73. http://dx.doi.org/10.5194/gmd-11-2153-2018.

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Abstract. Most geophysical models include many parameters that are not fully determined by theory, and can be “tuned” to improve the model's agreement with available data. We might attempt to automate this tuning process in an objective way by employing an optimisation algorithm to find the set of parameters that minimises a cost function derived from comparing model outputs with measurements. A number of algorithms are available for solving optimisation problems, in various programming languages, but interfacing such software to a complex geophysical model simulation presents certain challeng

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Rybakov, Dmitriy S. "Total cost optimisation model for logistics systems of trading companies." International Journal of Logistics Systems and Management 27, no. 3 (2017): 318. http://dx.doi.org/10.1504/ijlsm.2017.084469.

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Rybakov, Dmitriy S. "Total cost optimisation model for logistics systems of trading companies." International Journal of Logistics Systems and Management 27, no. 3 (2017): 318. http://dx.doi.org/10.1504/ijlsm.2017.10005118.

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Fafandjel, Nikša, Albert Zamarin, and Marko Hadjina. "Shipyard production cost structure optimisation model related to product type." International Journal of Production Research 48, no. 5 (2009): 1479–91. http://dx.doi.org/10.1080/00207540802609665.

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Huang, Qinxia, Cheng Zhang, Jing Liu, and Shilin Wu. "Optimisation of Cost 231-Hata model based on deep learning." International Journal of Innovative Computing and Applications 13, no. 5/6 (2022): 259. http://dx.doi.org/10.1504/ijica.2022.128433.

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Li, Xiaodong, Xiang Song, and Djamila Ouelhadj. "A Cost Optimisation Model for Maintenance Planning in Offshore Wind Farms with Wind Speed Dependent Failure Rates." Mathematics 11, no. 13 (2023): 2809. http://dx.doi.org/10.3390/math11132809.

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This paper presents an optimisation model for cost optimisation of maintenance at an offshore wind farm (OWF). The model is created for OWF project developers to optimise strategic resources to meet their maintenance demand. The model takes into account various maintenance categories on a full range of wind turbine components; the failure rate associated with each component is dependent on wind speed in order to consider weather uncertainty. Weibull distribution is used to predict the probability of wind speed occurring during a given period based on available historical data. The performance

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Yamanaka, O., T. Obara, and K. Yamamoto. "Total cost minimization control scheme for biological wastewater treatment process and its evaluation based on the COST benchmark process." Water Science and Technology 53, no. 4-5 (2006): 203–14. http://dx.doi.org/10.2166/wst.2006.125.

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This paper proposes a new cost minimisation control scheme for a predenitrification type of biological wastewater treatment process and evaluates the validity of the control scheme based on the benchmark process presented by Copp. The control scheme adopting a hierarchical control structure incorporates lower-level controllers that consist of a set of local dynamic controllers and a higher-level static optimiser that provides the set points of the lower-level controllers based on the total cost index of Vanrolleghem and Gillot. Prior to benchmarking, this paper derives a simplified process mod

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Huang, Zhongxuan, Di Wu, and Chunyan Zhong. "Research on Fresh Produce Delivery Scheduling Problems under the Perspective of Community E-commerce." Journal of Education, Humanities and Social Sciences 37 (August 15, 2024): 53–62. http://dx.doi.org/10.54097/c054f874.

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This paper addresses the challenges associated with the high costs and logistical difficulties in the distribution of fresh agricultural products from the perspective of community e-commerce. The paper takes the perspective of merchant scheduling and integrates a classical vehicle scheduling model. The study meticulously examines the various costs associated with the distribution process, encompassing fixed costs, transportation costs, refrigeration costs, storage costs and time subsidies. A vehicle routing optimisation model was developed with the dual objectives of cost control and product q

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Choudhari, Sanjay, and Amit Tindwani. "Logistics optimisation in road construction project." Construction Innovation 17, no. 2 (2017): 158–79. http://dx.doi.org/10.1108/ci-03-2016-0014.

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Purpose This study aims to assist the project manager in minimising the material logistics cost of road project by planning the optimal movement of aggregate across three stages of supply chain: sourcing, processing and distribution. Design/methodology/approach The paper conceptualises the raw material consumption in a road project as a logistics network distribution problem. A linear programming (LP) formulation is constructed with appropriate decision variables by integrating the three stages of material movement. The series of LP scenarios are solved using an LP solver to decide the optimal

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Mahmood, Farrukh, and Haider Ali. "Energy-Cost Optimisation in Water-Supply System." Pakistan Development Review 52, no. 4I (2013): 437–46. http://dx.doi.org/10.30541/v52i4ipp.437-446.

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Water, being the basic requirement of life, is important to all living organism, human health and food production. A positive correlation between economic growth and rate of water utilisation has also been observed in a growth model with water as a productive input for private producers [Barbier (2004)]. In addition, high per-capita consumption (PCC) of water is regarded as an indicator of the level of economic development where per-capita water consumption is defined as the average of water consumed by a person in a day. The declining availability of water supply, mainly due to global climate

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Ławryńczuk, Maciej, and Robert Nebeluk. "Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function." Sensors 21, no. 17 (2021): 5835. http://dx.doi.org/10.3390/s21175835.

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Model Predictive Control (MPC) algorithms typically use the classical L2 cost function, which minimises squared differences of predicted control errors. Such an approach has good numerical properties, but the L1 norm that measures absolute values of the control errors gives better control quality. If a nonlinear model is used for prediction, the L1 norm leads to a difficult, nonlinear, possibly non-differentiable cost function. A computationally efficient alternative is discussed in this work. The solution used consists of two concepts: (a) a neural approximator is used in place of the non-dif

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Li, Jialu. "Research on Route Optimization of RO-Ro Ship Based on Ant Colony Algorithm." Applied and Computational Engineering 110, no. 1 (2024): 201–11. https://doi.org/10.54254/2755-2721/2024.melb18117.

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This study is based on an ant colony algorithm for route optimisation of roll-on roll-off (RO-RO) vessels, aiming to minimise the total cost of RO-RO shipping routes. The model takes into account factors such as port berthing cost, fuel consumption and sailing time, and ensures the stability and efficiency of the optimisation results by adjusting the algorithm parameters such as pheromone initialisation, pheromone evaporation rate and ant colony size. The results of the study provide a practical solution for ro-ro ship route optimisation, which significantly reduces the operating costs and als

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Giglio, Enrico, Ermando Petracca, Bruno Paduano, Claudio Moscoloni, Giuseppe Giorgi, and Sergej Antonello Sirigu. "Estimating the Cost of Wave Energy Converters at an Early Design Stage: A Bottom-Up Approach." Sustainability 15, no. 8 (2023): 6756. http://dx.doi.org/10.3390/su15086756.

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The role of ocean energy is expected to grow rapidly in the coming years, and techno-economic analysis will play a crucial role. Nowadays, despite strong assumptions, the vast majority of studies model costs using a top-down approach (the TdA) that leads to an unrepresentative economic model. WEC developers usually go through the the TdA approach because more detailed cost data are not available at an earlier design stage. At a very advanced design stage, some studies have also proposed techno-economic optimisation based on the bottom-up approach (BuA). This entails that the detailed cost metr

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P. S, Divya, Vijila Moses, Manoj G, and Lydia M. "Wind Turbine Energy Cost Optimisation Using Various Power Models." WSEAS TRANSACTIONS ON POWER SYSTEMS 17 (September 9, 2022): 261–68. http://dx.doi.org/10.37394/232016.2022.17.27.

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In modern times, the worldwide wind turbine installations have developed swiftly resulting in the decrease of green gas emissions. Though wind is a free gift of nature, it is expensive to harness this energy for useful applications like electricity generation. The cost of installation of the wind turbine at a particular station does not depend only on the wind resource, but also on the structure of the turbine and the energy conversion technology. The wind turbine Cost of Energy (CoE) is used to estimate the payback time for the return on the investment made by the wind farm owners for the tur

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MLADENOVIĆ, Snežana, Ivana STEFANOVIĆ, Slađana JANKOVIĆ, Ana UZELAC, Goran MARKOVIĆ, and Stefan ZDRAVKOVIĆ. "Cost Optimisation Tool for Multicommodity Network Flow Problem in Telecommunications." Promet - Traffic&Transportation 36, no. 4 (2024): 608–22. http://dx.doi.org/10.7307/ptt.v36i4.577.

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In this paper, we consider the problem of minimising the cost of data transmission as a function of the capacity of telecommunication links. To solve this problem, we first formulated a mathematical model, and then we designed and developed a software that enables the optimisation of the given or randomly generated telecommunications network. Declarative programming is a good choice for optimisation problems because it is enough to specify only the relations that must be satisfied, without giving any effective procedure for finding the values for the decision variables. To test the application

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Awingot, Richard Akparibo, and Normanyo Erwin. "Application of resistance energy model to optimising electric power consumption of a belt conveyor system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2861–73. https://doi.org/10.11591/ijece.v10i3.pp2861-2873.

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Driven by constantly increasing energy demands, prices, environmental impact caused by carbon dioxide emissions and global warming, efficient use of energy is gaining grounds in both public and private enterprises. The energy consumption of belt conveyors can be lowered using energy modelling techniques. In this research, a resistance-based mathematical energy model was utilised in the electrical energy efficiency optimisation of the troughed, inclined belt conveyor system taking into account indentation rolling resistance, bulk solid flexure resistance and secondary resistance as they togethe

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Vojinovic, Z., D. Solomatine, and R. K. Price. "Dynamic least-cost optimisation of wastewater system remedial works requirements." Water Science and Technology 54, no. 6-7 (2006): 467–75. http://dx.doi.org/10.2166/wst.2006.574.

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In recent years, there has been increasing concern for wastewater system failure and identification of optimal set of remedial works requirements. So far, several methodologies have been developed and applied in asset management activities by various water companies worldwide, but often with limited success. In order to fill the gap, there are several research projects that have been undertaken in exploring various algorithms to optimise remedial works requirements, but mostly for drinking water supply systems, and very limited work has been carried out for the wastewater assets. Some of the m

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Sun, Liang, and Bing Wang. "Robust Optimisation Approach for Vehicle Routing Problems with Uncertainty." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/901583.

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We formulated a solution procedure for vehicle routing problems with uncertainty (VRPU for short) with regard to future demand and transportation cost. Unlike E-SDROA (expectation semideviation robust optimisation approach) for solving the proposed problem, the formulation focuses on robust optimisation considering situations possibly related to bidding and capital budgets. Besides, numerical experiments showed significant increments in the robustness of the solutions without much loss in solution quality. The differences and similarities of the robust optimisation model and existing robust op

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Ye, Wong. "HEAT EXCHANGER DESIGN OPTIMISATION." INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES 9, no. 2 (2021): 19–28. http://dx.doi.org/10.55083/irjeas.2021.v09i02008.

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In this paper, an optimized model of Shell and Tube Parallel Flow Heat Exchanger of water and oil type is proposed using C++ programming language. Shell and tube heat exchangers are of special importance in boilers, oil coolers, condensers, pre-heaters etc. They are also used in high pressure operations, refrigeration and air conditioning industry and process applications. In this paper, a number of practical cases of shell and tube heat exchangers are taken and the analysis of thermal and constructional design of every case is done. The optimised design is obtained by minimising the pressure

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Wu, Jiahao. "Research on Sustainable Tourism Development based on Multi-Objective Planning Models." Frontiers in Sustainable Development 5, no. 3 (2025): 285–92. https://doi.org/10.54691/k3qvrv73.

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This paper focuses on sustainable tourism development, takes Juneau as the research object, constructs relevant models and carries out in-depth analyses. We collect data on the number of tourists, tourism revenue and carbon emissions in Juneau from 2009 to 2023, clarify the trend of each factor through data visualisation, and analyse the relationship between tourism tax, the number of tourists and maintenance costs. Two objective functions are set up to maximise the net profit of tourism and minimise the carbon emission, in which the net profit involves the calculation of total revenue and tot

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Korponai, János, Ágota Bányainé Tóth, and Béla Illés. "Context of the inventory management expenses in the case of planned shortages." Engineering Management in Production and Services 9, no. 1 (2017): 26–35. http://dx.doi.org/10.1515/emj-2017-0003.

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AbstractThe main purpose of the paper is to present the relations between the different cost factors of the inventory management systems, and the context between the order quantities and the cost level. The theoretical approach of the model assumes a deterministic operational environment with planned shortages. We make the examination of the contexts by applying the ceteris paribus principle; we change only one cost factor from among the initial conditions at once and examine its effect on the cost level.By using the economic order quantity with the planned shortage model, we can define the op

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S.Sukumar, Sukhadeva, Abu Hanifah Yusof, Muhamad Iqbal Aslam Abd Hafiz, Muhamad Razuhanafi Mat Yazid, Mohd Azizul Ladin, and Mukhlis Nahriri Bastam. "Sustainable Cost Optimisation Measures for The Lifecycle of Tolled Highway Projects in Malaysia." Jurnal Kejuruteraan 35, no. 2 (2023): 475–84. http://dx.doi.org/10.17576/jkukm-2023-35(2)-19.

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The implementation and maintenance of highway infrastructure often requires significant capital throughout its life cycle which affects stakeholders including the government, developers, operators, users, etc. Furthermore, the sustainability aspect and existing toll systems in Malaysia are currently in the midst of being re-evaluated in order to attain a long-term gain that benefits both road users and relevant stakeholders. The objective of this study is to propose a Life Cycle Cost Analysis (LCCA) model for sustainable highway projects in Malaysia which considers certain cost optimisation me

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Chen, Hao, Chihua Lu, Zhien Liu, Cunrui Shen, and Menglei Sun. "Multi-Response Optimisation of Automotive Door Using Grey Relational Analysis with Entropy Weights." Materials 15, no. 15 (2022): 5339. http://dx.doi.org/10.3390/ma15155339.

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Tail-welded blanks (TWBs) are widely used in automotive bodies to improve the structural performance and reduce weight. The stiffness and modal lightweight design optimisation of TWBs for automotive doors was performed in this study. The finite element model was validated through physical experiments. An L27 (312) Taguchi orthogonal array was used to collect the sample points. The multi-objective optimisation problem was transformed into a single-objective optimisation problem based on the grey relational degree. The optimal combination of structural design parameters was obtained for a tail-w

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Chiteka, K., R. Arora, S. N. Sridhara, and C. C. Enweremadu. "Cleaning cycle optimisation in non-tracking ground mounted solar PV systems using Particle Swarm Optimisation." International Journal for Simulation and Multidisciplinary Design Optimization 11 (2020): 9. http://dx.doi.org/10.1051/smdo/2020004.

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The effect of installation azimuth angle in the optimization of the cleaning cycle of a solar photovoltaic plant was experimentally investigated in this study. The optimum cleaning cycle was determined using Particle Swarm Optimization algorithm cognizance of the fact that different orientations have different soiling rates. Soiling rates on three different azimuth configurations were experimentally investigated and an exponential soiling loss model was developed for each configuration for use in the optimization problem. Azimuth angle differences of ±12.5% were found to have a significant inf

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Bálint, Roland, and Attila Magyar. "Refrigerator Optimal Scheduling to Minimise the Cost of Operation." Hungarian Journal of Industry and Chemistry 44, no. 2 (2016): 99–104. http://dx.doi.org/10.1515/hjic-2016-0012.

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Abstract The cost optimal scheduling of a household refrigerator is presented in this work. The fundamental approach is the model predictive control methodology applied to the piecewise affine model of the refrigerator. The optimisation could not be solved using off-the-shelf tools, e.g. Multi-Parametric Toolbox, so a binary treebased optimal scheduling algorithm has been developed for this problem.

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Echtermeyer, Alexander, Yehia Amar, Jacek Zakrzewski, and Alexei Lapkin. "Self-optimisation and model-based design of experiments for developing a C–H activation flow process." Beilstein Journal of Organic Chemistry 13 (January 24, 2017): 150–63. http://dx.doi.org/10.3762/bjoc.13.18.

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A recently described C(sp3)–H activation reaction to synthesise aziridines was used as a model reaction to demonstrate the methodology of developing a process model using model-based design of experiments (MBDoE) and self-optimisation approaches in flow. The two approaches are compared in terms of experimental efficiency. The self-optimisation approach required the least number of experiments to reach the specified objectives of cost and product yield, whereas the MBDoE approach enabled a rapid generation of a process model.

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Iaria, Davide, Homam Nipkey, Jafar Al Zaili, Abdulnaser Sayma, and Mohsen Assadi. "Development and Validation of a Thermo-Economic Model for Design Optimisation and Off-Design Performance Evaluation of a Pure Solar Microturbine." Energies 11, no. 11 (2018): 3199. http://dx.doi.org/10.3390/en11113199.

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The aim of this paper is to present a thermo-economic model of a microturbine for solar dish applications, which demonstrates the applicability and accuracy of the model for off-design performance evaluation and techno-economic optimisation purposes. The model is built using an object-oriented programming approach. Each component is represented using a class made of functions that perform a one-dimensional physical design, off-design performance analysis and the component cost evaluation. Compressor, recuperator, receiver and turbine models are presented and validated against experimental data

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McCoy, M. S. "System of systems force structure optimisation." Aeronautical Journal 110, no. 1109 (2006): 457–62. http://dx.doi.org/10.1017/s0001924000001354.

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Abstract A system of systems study plan was developed and a prototype was executed to optimise a recommended military force structure. This methodology defined the optimal force structure, using constrained optimisation to reflect budget limitations and desired mission performance. The force structure included surface and air assets, a command, control, communications, computers, intelligence, surveillance and reconnaissance (C4ISR) architecture, and a recommended logistics infrastructure. A second aspect of the study plan defined the total acquisition strategy, which accounted for: retiring l

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Sun, Liang, and Bing Wang. "An Inverse Robust Optimisation Approach for a Class of Vehicle Routing Problems under Uncertainty." Discrete Dynamics in Nature and Society 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/2804525.

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There is a trade-off between the total penalty paid to customers (TPC) and the total transportation cost (TTC) in depot for vehicle routing problems under uncertainty (VRPU). The trade-off refers to the fact that the TTC in depot inevitably increases when the TPC decreases andvice versa. With respect to this issue, the vehicle routing problem (VRP) with uncertain customer demand and travel time was studied to optimise the TPC and the TTC in depot. In addition, an inverse robust optimisation approach was proposed to solve this kind of VRPU by combining the ideas of inverse optimisation and robu

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Csordas, Helga. "Calendars in Time-Cost Trade-Off." Periodica Polytechnica Architecture 50, no. 1 (2019): 63–66. http://dx.doi.org/10.3311/ppar.13257.

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In project management, there are two main operation problems. Scheduling and cost optimisation. These are interrelated and have mathematically proven solutions for the basics. However, in case of applying arbitrary calendars, there may be generated such effects in scheduling that make the known time-cost trade-off model unusable. In consideration of these effects, this paper aims to apply known algorithms that have been successful for other problems.

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De Gussem, K., T. Wambecq, J. Roels, A. Fenu, G. De Gueldre, and B. Van De Steene. "Cost optimisation and minimisation of the environmental impact through life cycle analysis of the waste water treatment plant of Bree (Belgium)." Water Science and Technology 63, no. 1 (2011): 164–70. http://dx.doi.org/10.2166/wst.2011.027.

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An ASM2da model of the full-scale waste water plant of Bree (Belgium) has been made. It showed very good correlation with reference operational data. This basic model has been extended to include an accurate calculation of environmental footprint and operational costs (energy consumption, dosing of chemicals and sludge treatment). Two optimisation strategies were compared: lowest cost meeting the effluent consent versus lowest environmental footprint. Six optimisation scenarios have been studied, namely (i) implementation of an online control system based on ammonium and nitrate sensors, (ii)

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Zhao, Jie, Mingcheng Zhang, Biao Zhao, et al. "Integrated Reactive Power Optimisation for Power Grids Containing Large-Scale Wind Power Based on Improved HHO Algorithm." Sustainability 15, no. 17 (2023): 12962. http://dx.doi.org/10.3390/su151712962.

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Large-scale wind power grid integration will greatly change the system current distribution, making it difficult for the reactive power regulator to adjust to the optimal state. In this paper, an integrated reactive power optimisation method based on the improved Harris Hawk (HHO) algorithm is proposed. Firstly, a reactive power regulation model is constructed to solve the reactive power regulation interval of wind turbines, and the reactive power margin of wind turbines is used to participate in the system’s reactive power optimisation. Finally, a reactive power compensation capacity allocati

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Rasku, Topi, Toni Lastusilta, Ala Hasan, Rakesh Ramesh, and Juha Kiviluoma. "Economic Model-Predictive Control of Building Heating Systems Using Backbone Energy System Modelling Framework." Buildings 13, no. 12 (2023): 3089. http://dx.doi.org/10.3390/buildings13123089.

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Accessing the demand-side management potential of the residential heating sector requires sophisticated control capable of predicting buildings’ response to changes in heating and cooling power, e.g., model-predictive control. However, while studies exploring its impacts both for individual buildings as well as energy markets exist, building-level control in large-scale energy system models has not been properly examined. In this work, we demonstrate the feasibility of the open-source energy system modelling framework Backbone for simplified model-predictive control of buildings, helping addre

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Rotua Ignasia Saragih and Tri Andri Hutapea. "Optimasi Biaya Pengendalian Persediaan Alat Suntik (Spuit) Dengan Metode Optimisasi Robust Menggunakan Aplikasi Python Di RSUD Dr. Pirngadi." JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM 2, no. 2 (2023): 72–86. http://dx.doi.org/10.55606/jurrimipa.v2i2.1348.

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Inventory control is very important for companies because without proper inventory control the company will experience problems in meeting consumer needs both in the form of goods and services produced by the company. RSUD Dr. Pirngadi is one of the companies that uses conventional methods to calculate the total cost of inventory so that the costs incurred both for ordering syringes and storage costs are still high, therefore it is necessary to control the inventory of syringes which aims to minimise inventory costs so that company goals can be achieved. In solving the problem of controlling i

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Purnomo, Muhammad Ridwan Andi, Dzuraidah Abdul Wahab, and Ade Rizqy Anugerah. "Optimisation of the Single-Vendor Single-Buyer Supply Chain System under Fuzzy Demand Using Optimisation–Simulation Closed Loop Technique." Mathematical Modelling of Engineering Problems 9, no. 5 (2022): 1343–51. http://dx.doi.org/10.18280/mmep.090524.

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This research aims to model and optimise the most applicable supply chain system, which is a single-vendor single-buyer system with fuzzy buyer demand. An optimisation model of the supply chain system under consideration is built by formulating the objective function, which is minimising the joint total cost between a buyer and a vendor. The model is developed on the basis of a simulation system, and optimisation is carried out by utilising a Genetic Algorithm that has been embedded in the simulation system. This technique is called optimisation–simulation closed loop. The vendor actual condit

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Andrawus, Jesse A., John Watson, Mohammed Kishk, and Heather Gordon. "Optimisation of Wind Turbine Inspection Intervals." Wind Engineering 32, no. 5 (2008): 477–90. http://dx.doi.org/10.1260/030952408786411921.

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The choice of correct inspection intervals poses a serious challenge to industries that utilise physical assets. Too short an interval increases operational cost and waste production time while too long an interval increases the likelihood of unexpected asset failures. Failure Modes and Effect Criticality Analysis (FMECA) is a technique that permits qualitative evaluation of assets' functions to predict critical failure modes and the resultant consequences to determine appropriate maintenance tasks for the assets. The Delay-Time Maintenance Model (DTMM) is a quantitative maintenance optimisati

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Akram, Junaid, Arsalan Tahir, Hafiz Suliman Munawar, Awais Akram, Abbas Z. Kouzani, and M. A. Parvez Mahmud. "Cloud- and Fog-Integrated Smart Grid Model for Efficient Resource Utilisation." Sensors 21, no. 23 (2021): 7846. http://dx.doi.org/10.3390/s21237846.

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The smart grid (SG) is a contemporary electrical network that enhances the network’s performance, reliability, stability, and energy efficiency. The integration of cloud and fog computing with SG can increase its efficiency. The combination of SG with cloud computing enhances resource allocation. To minimise the burden on the Cloud and optimise resource allocation, the concept of fog computing integration with cloud computing is presented. Fog has three essential functionalities: location awareness, low latency, and mobility. We offer a cloud and fog-based architecture for information manageme

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Zhao, Haihan. "Research on Production Decision Making Based on Differential Evolutionary Algorithms and Optimisation Models." Highlights in Science, Engineering and Technology 124 (February 18, 2025): 7–15. https://doi.org/10.54097/5zgm5g61.

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In this paper, the problem of defect detection and production decision-making in the production process of electronic products is studied in depth. The optimization model and differential evolutionary algorithm are used to solve the challenges of quality control and cost optimization. Firstly, this paper proposes a defect detection scheme based on statistical sampling and hypothesis testing, which optimizes the sample detection cost; secondly, this paper constructs a production cost optimization model based on the defective rate of spare parts and the detection cost, and derives the optimal de

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Guo, S. Z., X. M. Zheng, H. S. Ang, and H. M. Cai. "Cruise missile head shape optimisation using an adaptive sampling surrogate model." Aeronautical Journal 122, no. 1253 (2018): 1145–62. http://dx.doi.org/10.1017/aer.2018.40.

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ABSTRACTHigh-precision response of the surrogate model is desired in the process of optimisation. An excessive number of sampling points will increase the cost of the calculation. The appropriate number of sampling points cannot only guarantee the accuracy of the surrogate model but also save the calculation cost. The purpose of this research is to demonstrate the eventuality of using an adaptive surrogate model for optimisation problems. The adaptive surrogate model is built on an adaptive sampling approach and an extended radial basis function (ERBF). The adaptive sampling is an approach tha

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Zhang, Han, Jibin Yang, Jiye Zhang, Pengyun Song, and Ming Li. "Optimal energy management of a fuel cell-battery-supercapacitor-powered hybrid tramway using a multi-objective approach." Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, no. 5 (2019): 511–23. http://dx.doi.org/10.1177/0954409719849804.

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Achieving an optimal operating cost is a challenge for the development of hybrid tramways. In the past few years, in addition to fuel costs, the lifespan of the power source is being increasingly considered as an important factor that influences the operating cost of a tramway. In this work, an optimal energy management strategy based on a multi-mode strategy and optimisation algorithm is described for a high-power fuel cell hybrid tramway. The objective of optimisation is to decrease the operating costs under the conditions of guaranteeing tramway performance. Besides the fuel costs, the repl

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