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Journal articles on the topic 'Optimization of costs'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Podolchak, N., and B. Chepil. "Optimization of administrative management costs." Economics, Entrepreneuship, Management 2, no. 1 (2015): 53–58. http://dx.doi.org/10.23939/eem2015.01.053.

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2

Oppermann, M., W. Sauer, and H. Wohlrabe. "Optimization of quality costs." Robotics and Computer-Integrated Manufacturing 19, no. 1-2 (2003): 135–40. http://dx.doi.org/10.1016/s0736-5845(02)00070-4.

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3

Kobyakova, O. S., I. A. Deev, and I. P. Shibalkov. "University Costs Optimization: Practical Solutions." University Management: Practice and Analysis 104, no. 4 (2016): 111–18. http://dx.doi.org/10.15826/umj.2016.103.033.

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4

Mertens, Stephan. "Random Costs in Combinatorial Optimization." Physical Review Letters 84, no. 6 (2000): 1347–50. http://dx.doi.org/10.1103/physrevlett.84.1347.

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Ignatius, Riyadi Mardiyanto, Zein Hermagasantos, and Soeprijanto Adi. "Combining Parameters of Fuel and Greenhouse Gas Costs as Single Objective Function for Optimization of Power Flow." TELKOMNIKA Telecommunication, Computing, Electronics and Control 15, no. 4 (2017): 1585–600. https://doi.org/10.12928/TELKOMNIKA.v15i4.5769.

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The Kyoto Protocol is a protocol that highlights on greenhouse gases that have been adopted by many countries. Based on this protocol, power plants that produce emissions are encouraged to pay compensation. Conventionally, optimization of fuel mix in the electric power system components has not involved emission charges on the electricity system. This paper proposes a single objective function of a mathematical model for the calculation of power flow optimization involving greenhouse gas emissions costs to the fuel cost function. The single objective function derived using the mathematical mod

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Hwang, Ming-Lang Tun, Wi-Lang Collin, and Lee Sen Wang-xu. "Quantum computing and supply chain optimization: addressing complexity and efficiency challenges." International Journal of Enterprise Modelling 15, no. 3 (2021): 148–62. http://dx.doi.org/10.35335/emod.v15i3.49.

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Quantum computing is used to address supply chain optimization complexity and efficiency. Multiple locations, time periods, transportation expenses, facility opening costs, production capacity, and demand fulfillment requirements complicate supply chains. Supply chain optimization's complexity and huge solution areas challenge traditional optimization methods. Quantum algorithms can efficiently explore bigger solution areas in quantum computing. Starting with problem identification, this research reviews quantum computing and supply chain optimization literature. The supply chain optimization

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Sulaksana, Jaka, Ida Marina, and Inka Fatimah. "OPTIMIZATION OF GEDONG GINCU MANGO DISTRIBUTION COSTS IN MAJALENGKA DISTRICT." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 8, no. 1 (2023): 288–309. http://dx.doi.org/10.14710/agrisocionomics.v8i1.19404.

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Facing free trade, Indonesia is required to increase the performance of mango production in order to compete with mangoes from other countries, but the performance of gedong gincu mango agribusiness still faces a number of obstacles, both on farm and off farm. One of them is to optimize distribution costs by designing a transportation model to determine the amount of goods that must be sent from each source to each destination in such a way that the total transportation cost is minimum. The transportation model used is Vogel's Approximation Method. The purpose of this research was to find out

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Hedvicaková, Martina, and Ivan Soukal. "Retail core banking services costs optimization." Procedia Technology 1 (2012): 177–82. http://dx.doi.org/10.1016/j.protcy.2012.02.033.

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Chen, Shu-ping, Chong Li, Sheng-hong Li, and Xiong-wei Wu. "Portfolio Optimization Model with Transaction Costs." Acta Mathematicae Applicatae Sinica, English Series 18, no. 2 (2002): 231–48. http://dx.doi.org/10.1007/s102550200022.

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Al Arrayedh, Mahmoud, Khalid Burashid, and Khalid Almansoor. "RAJJ RO plant operational costs optimization." Desalination 97, no. 1-3 (1994): 235–51. http://dx.doi.org/10.1016/0011-9164(94)00090-5.

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11

Rubingh, C. M., H. Martens, H. van der Voet, and A. K. Smilde. "The costs of complex model optimization." Chemometrics and Intelligent Laboratory Systems 125 (June 2013): 139–46. http://dx.doi.org/10.1016/j.chemolab.2013.04.004.

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Bohlin, Markus, and Mathias Wärja. "Maintenance optimization with duration-dependent costs." Annals of Operations Research 224, no. 1 (2012): 1–23. http://dx.doi.org/10.1007/s10479-012-1179-1.

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13

Artikov, Nodirjon Yakubdjanovich, and Shavkat Jabborberganovich Kurbanbayev. "Analysis And Optimization Of Product Costs And Expenses In Enterprises." American Journal of Management and Economics Innovations 03, no. 01 (2021): 11–19. http://dx.doi.org/10.37547/tajmei/volume03issue01-04.

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This article discusses the analysis and optimization of product costs and expenses in enterprises. Manufacturing companies and their financial statements is the subject of this article. The subject of this article is to determine the cost of production in this industrial enterprise, its current state and ways to further reduce it. And this article also aims to identify ways to reduce the cost of production in industrial enterprises in the context of modernization of the economy and to develop scientific conclusions and recommendations.

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Libório, Matheus, Willian Maia, Carlos Martins, Petr Ekel, Sandro Laudares, and Patrícia Bernardes. "Reduzindo custos de sistemas preventivos de descargas atmosféricas por otimização locacional." GOT - Journal of Geography and Spatial Planning, no. 20 (December 30, 2020): 149–66. http://dx.doi.org/10.17127/got/2020.20.007.

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The installation of lightning detection sensor systems involves a large volume of resources. However, the absence of these systems can lead to irreparable damage, such as the death of a person. How to reduce the costs of implementing these systems to protect workers and citizens or even public and private equipment? Usually, this problem is not solved on a formal level, but based on the intuition of the involved specialists, without applying optimization techniques. Taking this into account, this research explores the theoretical structure of locational optimization methods to propose a simpli

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Faizulin, Oleh, and Yaroslav Kis. "Optimization of the infrastructure of the distributed information system of goods accounting." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 12 (December 15, 2022): 219–29. http://dx.doi.org/10.23939/sisn2022.12.219.

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An existing goods accounting information system was assessed for possible infrastructure optimization. A various parts of the system were analyzed to improve infrastructure costs without having a significant degradation of non-functional requirements. Modeling of the optimized system was performed, and evaluation of the infrastructure costs was made. Several optimization directions were evaluated, analyzed and either recommended or rejected. As the result, the final information system model was designed which allows to achieve significant infrastructure cost savings by applying multiple optimi

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Левицька, Ірина Олексіївна. "Allocation base of general production costs as optimization of prime costs." JOURNAL OF ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY. SERIES: ECONOMICS, no. 1(79) (March 28, 2017): 31–35. http://dx.doi.org/10.26642/jen-2017-1(79)-31-35.

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Chorna, Olga, Pavlo Popovich, Mukola Mayak, Oksana Shevchuk, Natalіia Falovych, and Serhii Komarnitskyi. "Cost Optimization in Logistics Systems." Central Ukrainian Scientific Bulletin. Technical Sciences 1, no. 7(38) (2023): 286–91. http://dx.doi.org/10.32515/2664-262x.2023.7(38).1.286-291.

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The article examines the problem of assessing the economic efficiency of logistics systems using simulation models and determines the likely conditions for the application of this method. The relevance and necessity of optimizing the management of logistics costs in the complex management system of production enterprises is highlighted. The set of logistics costs in the total cost of production enterprises of Ukraine and countries of the world is determined. The specifics of displaying logistics costs in the company's accounting system have been determined. The formation of logistics cost is i

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18

Gu, Xiao Wei, Xiao Chuan Xu, Qing Wang, and Jian Ping Liu. "Ecological Costs Internalization in Ultimate Pit Optimization." Advanced Materials Research 1073-1076 (December 2014): 433–37. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.433.

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The tradition way of open pit mine design just takes the operating and capital costs into account while the ecological costs of mining to ecological environment is not a concern at all. For this concept, based on the mine ecological footprint and eco-cost models which have been built by author, the ecological cost allocation models which take mining, stripping and ore dressing as incentive are built. It contains allocation models of unit mining ecological costs, stripping ecological costs and ore processing ecological costs. Moving cone elimination algorithm and iteration method is used for a

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19

Kosari Moghaddam, Armaghan, Hassan Sadrnia, Hassan Aghel, and Mohammad Bannayan. "Optimization of tillage and sowing operations using discrete event simulation." Research in Agricultural Engineering 64, No. 4 (2018): 187–94. http://dx.doi.org/10.17221/49/2017-rae.

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A simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena<sup>®</sup> simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs including fixed-costs, variable costs and timeliness costs were calculated for each machinery set. Timeliness costs were estimated for 21-years period on daily basis (Daily Work method) and compared with another method (Average Work method) based on the equation proposed by ASAE Standards, EP 496.3FEB2006. The Inputs of the model w

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20

Researcher. "OPTIMIZING DATA TRANSFER COSTS: A TECHNICAL GUIDE." International Journal of Research in Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 2281–87. https://doi.org/10.5281/zenodo.14445835.

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The rapid evolution of cloud computing has made data transfer costs a critical concern for organizations worldwide. This comprehensive article explores cloud data transfer operation's fundamental cost drivers, challenges, and optimization strategies. The article examines bandwidth consumption patterns, data volume management, transfer frequency optimization, and geographic considerations that impact transfer costs. It presents technical strategies for cost reduction, including delta and incremental transfers, cloud architecture optimization, direct transfer paths, and centralized collaboration

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21

Apazhev, A. K., A. G. Fiapshev, Iu A. Shekikhachev, L. M. Khazhmetov, A. L. Khazhmetova, and Kh Kh Ashabokov. "Energy efficiency of improvement of agriculture optimization technology and machine complex optimization." E3S Web of Conferences 124 (2019): 05054. http://dx.doi.org/10.1051/e3sconf/201912405054.

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To ensure the food security of the Russian Federation, one of the priority areas of the state’s economic and food policy is a step-by-step reduction of the dependence of the domestic agroindustry complex on the import of technologies, machines, and equipment. Currently, machines and aggregates that perform one specific operation are often used in preparing the soil for sowing crops; their multiple passes along the surface of the field being treated increase energy costs, lead to soil compaction, emergence and development of erosion processes. Considering this, further improvement of cultivatio

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22

Bondariev, S. I. "Optimization methods of operating costs on road transport in international transportation." Naukovij žurnal «Tehnìka ta energetika» 11, no. 3 (2020): 129–33. http://dx.doi.org/10.31548/machenergy2020.03.129.

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Transport processes research are closely related to the economic and operational performance of road transport. During planning road transportation, the most important factor is the transport services cost. Known fact that most of the transportation costs are car fuel. The share of car fuel in the transport tariff cost can be 25-50% (depending on the working conditions of vehicles). Therefore, research that is associated with improving the vehicles efficiency by reducing variable costs is appropriate and relevant. The article presents the results of research on the planning of transport proces

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23

Doseva, Nadezhda Ognjanova, and Daniela Chakyrova. "Life cycle costs optimization of residential buildings." ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA 2, no. 2 (2018): 62–69. http://dx.doi.org/10.29114/ajtuv.vol2.iss2.94.

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This paper considers the questions of techno-economic optimization in order to determine the thermal transmittance coefficient of the external walls of an existing residential building.The optimization procedure is conducted for the climatic and economic conditions in Bulgaria and taking into account the existing legal framework. The minimum of the building life cycle costs is determined by using genetic algorithm

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Park, Jae-Yong, Sul-Geon Choi, Da-Kyung Kim, Min-Chul Jeong, and Jung-Sik Kong. "Credit Optimization Algorithm for Calculating LEED Costs." Sustainability 9, no. 9 (2017): 1607. http://dx.doi.org/10.3390/su9091607.

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25

Gupta, Rashi, Steve Walker, Mike Brehm, Bryan Stevenson, Ken Tagney, and Matthew Verosik. "Reducing Dewatering Costs Through an Optimization Program." Proceedings of the Water Environment Federation 2017, no. 1 (2017): 633–41. http://dx.doi.org/10.2175/193864717821495843.

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26

Gupta, Rashi, Steve Walker, Mike Brehm, Bryan Stevenson, Ken Tagney, and Matthew Verosik. "Reducing Dewatering Costs Through an Optimization Program." Proceedings of the Water Environment Federation 2017, no. 6 (2017): 4456–65. http://dx.doi.org/10.2175/193864717822156316.

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27

Firmansyah, Firmansyah, Dedy Juliandri Panjaitan, Madyunus Salayan, and Alistraja Dison Silalahi. "OPTIMIZATION OF PRODUCTION COSTS WITH SIMPLEX METHOD." Journal of Community Research and Service 4, no. 2 (2020): 66. http://dx.doi.org/10.24114/jcrs.v4i2.15277.

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One of the problems in the company is my resource limitation, the time of production and the tools used in the production process. Companies in making decisions in production planning in the presence of these limitations, should seek to maximize the profit generated. However, in the production process a production planning reference is required to maximize the results obtained and minimize the production costs used. To solve the problem, needed a problem solving tool that is linear program using simplex method. Simplex method is one of the methods of linear program in solving the problem of mo

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28

Bielecki, Tomasz, Jean-Philippe Chancelier, Stanley Pliska, and Agnès Sulem. "Risk-sensitive portfolio optimization with transaction costs." Journal of Computational Finance 8, no. 1 (2004): 39–63. http://dx.doi.org/10.21314/jcf.2004.115.

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29

Giustolisi, O., D. Laucelli, and L. Berardi. "Operational Optimization: Water Losses versus Energy Costs." Journal of Hydraulic Engineering 139, no. 4 (2013): 410–23. http://dx.doi.org/10.1061/(asce)hy.1943-7900.0000681.

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30

BROADIE, MARK, and WEIWEI SHEN. "HIGH-DIMENSIONAL PORTFOLIO OPTIMIZATION WITH TRANSACTION COSTS." International Journal of Theoretical and Applied Finance 19, no. 04 (2016): 1650025. http://dx.doi.org/10.1142/s0219024916500254.

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This paper studies Merton’s portfolio optimization problem with proportional transaction costs in a discrete-time finite horizon. Facing short-sale and borrowing constraints, investors have access to a risk-free asset and multiple risky assets whose returns follow a multivariate geometric Brownian motion. Lower and upper bounds for optimal solutions up to the problem with 20 risky assets and 40 investment periods are computed. Three lower bounds are proposed: the value function optimization (VF), the hyper-sphere and the hyper-cube policy parameterizations (HS and HC). VF attacks the conundrum

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31

Popa, Mihaela. "Optimization of Fiscal Costs Versus Creative Accounting." Procedia - Social and Behavioral Sciences 62 (October 2012): 1271–75. http://dx.doi.org/10.1016/j.sbspro.2012.09.217.

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32

Serafini, Paolo. "Combinatorial optimization problems with normal random costs." Operations Research Letters 41, no. 2 (2013): 126–33. http://dx.doi.org/10.1016/j.orl.2012.11.014.

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Muthuraman, Kumar, and Sunil Kumar. "MULTIDIMENSIONAL PORTFOLIO OPTIMIZATION WITH PROPORTIONAL TRANSACTION COSTS." Mathematical Finance 16, no. 2 (2006): 301–35. http://dx.doi.org/10.1111/j.1467-9965.2006.00273.x.

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34

Sebastiani, Roberto, and Silvia Tomasi. "Optimization Modulo Theories with Linear Rational Costs." ACM Transactions on Computational Logic 16, no. 2 (2015): 1–43. http://dx.doi.org/10.1145/2699915.

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Logvinova, N. A., D. O. Bosiy, and O. M. Polyah. "Reduced operating costs by train traffic optimization." Science and Transport Progress, no. 42 (December 25, 2012): 110–13. http://dx.doi.org/10.15802/stp2012/9299.

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The paper conducted research to reduce the cost of electricity for traction power in the wholesale electricity market. Our calculations show that the previously known criteria for evaluating energy consumption in the market conditions are irrelevant.

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ГАТИН, Р. С., and С. М. НУРЫЙАХМЕТОВА. "MODERN METHODS FOR OPTIMIZING ORGANIZATION COSTS." Экономика и предпринимательство, no. 12(149) (May 21, 2023): 1095–99. http://dx.doi.org/10.34925/eip.2022.149.12.216.

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В рамках данной научной статьи осуществляется раскрытие сущности категория «оптимизация» и «затраты». Осуществляется авторское уточнение категории «оптимизация затрат организации». Определяется и выделяется сущностная необходимость осуществления данного процесса на предприятиях в условиях нестабильности и неопределенности развития национальной и мировой экономических систем. Производится сравнительный анализ ключевых современных методов оптимизации затрат организации в условиях конкурентного рынка. Within the framework of this scientific article, the essence of the category «optimization» and

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Sun, Zhuo Xin, Yong Qiang Zhu, Qing Ye, Li Hu Jia, and Xiao Long Tao. "Reactive Power Optimization of Distribution System with Photovoltaic Station Based on Particle Swarm Optimization." Applied Mechanics and Materials 392 (September 2013): 548–52. http://dx.doi.org/10.4028/www.scientific.net/amm.392.548.

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In this paper, system operating costs as the objective function, considering the reduced costs of system losses after compensation and the adding costs of compensating devices, established reactive power compensation optimization mathematical model of distribution system with photovoltaic station. And to improve the standard particle swarm optimization, adopting particle swarm optimization to optimize an example, optimizing results verify the accuracy and effectiveness of the model and algorithm.

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Morshed, Ali. "Corrosion Management and Cost Optimization." Materials Performance 56, no. 4 (2017): 61–64. https://doi.org/10.5006/mp2017_56_4-61.

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A better appreciation of the various components of typical corrosion costs in the oil and gas industry could further facilitate their optimization. For example, preventing corrosion failures would eliminate post-failure corrosion costs, thus significantly reducing the overall corrosion costs. Simultaneously, due to the congruity between the corrosion management and the corrosion cost optimization concepts, the former could be utilized to positively affect the latter. This article explains in detail how this could be done.

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VOICU, Vladimir, and Anca DRĂGHICI. "LABOR COST OPTIMIZATION THROUGH GEOGRAPHIC ARBITRAGE." Review of Management and Economic Engineering 22, no. 1 (2023): 37–44. https://doi.org/10.71235/rmee.51.

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Labor costs are in European companies one of the largest block of expenditures. With everincreasing minimum wages in many European countries, it is necessary to find cost-optimization solutions that do not put employees at a disadvantage but still help the company advance. The present article analyses labor costs in Europe and the effects of minimum wage laws, while also highlighting the paradigm shift toward home office considering the Covid-19 pandemic restrictions. The case study analyses the costs of personnel leasing in Georgia and the costs of employment through an employer of record in

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Xie, Xiang Tian, and Jin Shan Zhang. "Study about Fresh Agricultural Products Inventory Optimization." Applied Mechanics and Materials 58-60 (June 2011): 19–22. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.19.

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This document builds up the inventory control model of fresh agricultural products based on the expected loss of inventory costs (purchase costs, storage costs, shortage costs and the loss of cost with perishable characteristic of fresh agricultural products). The optimal order quantity is obtained through derivation of the model function. Finally, the numerical example has proved this method to be effective.

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Xu, Shi Meng, and Jun Hong Liu. "An Portfolio Optimal Attainability under Transaction Costs." Applied Mechanics and Materials 472 (January 2014): 1066–69. http://dx.doi.org/10.4028/www.scientific.net/amm.472.1066.

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This According to discount asset function and double convex portfolio, the attainability of the asset optimization was discussed under the market models with transaction costs,. By virtue of stochastic analysis and the maximal value properties confined in some convex region, the attainability of asset optimization was given under discount function form and corresponding to utility function and expectation of utility function in this paper.

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Deng, Yufan, Zhongan Tang, Baoju Liu, Yan Shi, Min Deng, and Enbo Liu. "Renovation and Reconstruction of Urban Land Use by a Cost-Heuristic Genetic Algorithm: A Case in Shenzhen." ISPRS International Journal of Geo-Information 13, no. 7 (2024): 250. http://dx.doi.org/10.3390/ijgi13070250.

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Urban land use multi-objective optimization aims to achieve greater economic, social, and environmental benefits by the rational allocation and planning of urban land resources in space. However, not only land use reconstruction, but renovation, which has been neglected in most studies, is the main optimization direction of urban land use. Meanwhile, urban land use optimization is subject to cost constraints, so as to obtain a more practical optimization scheme. Thus, this paper evaluated the renovation and reconstruction costs of urban land use and proposed a cost-heuristic genetic algorithm

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43

Yasir, Jari, and Abdulghafour Abdulrazak. "Investigation of Impact of Span Length and Variable Live Loading Conditions on Flat Slab Material Costs." Indian Journal of Science and Technology 16, no. 4 (2023): 299–308. https://doi.org/10.17485/IJST/v16i4.2095.

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ABSTRACT <strong>Objectives:</strong> This study investigates the optimization of reinforced concrete flat slabs and establishes a relationship between span, live load, and material costs.<strong> Methods:</strong> The study used the direct design method per Saudi Building Code limitations, iterative design, and pattern search methods to establish a mathematical model that prescribes the span-cost relationship. The study conducted variable live loading tastings and cost estimates on multiple flat slab panels with distinct dimensions. <strong>Findings:</strong> The resu

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Li, K., D. Li, and H. Q. Ma. "An improved discrete particle swarm optimization approach for a multi-objective optimization model of an urban logistics distribution network considering traffic congestion." Advances in Production Engineering & Management 18, no. 2 (2023): 211–24. http://dx.doi.org/10.14743/apem2023.2.468.

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To optimize urban logistics networks, this paper proposes a multi-objective optimization model for urban logistics distribution networks (ULDN). The model optimizes vehicle usage costs, transportation costs, penalty costs for failing to meet time windows, and carbon emission costs, while also considering the impact of urban road traffic congestion on total costs. To solve the model, a DPSO (Discrete Particle Swarm Optimization) algorithm based on the basic principle of PSO (Particle Swarm Optimization) is proposed. The DPSO introduces multiple populations to handle multiple targets and uses a

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45

Konno, Hiroshi, and Rei Yamamoto. "Global Optimization Versus Integer Programming in Portfolio Optimization under Nonconvex Transaction Costs." Journal of Global Optimization 32, no. 2 (2005): 207–19. http://dx.doi.org/10.1007/s10898-004-2703-x.

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46

Bhavya, Vashisht. "Reducing Operational Costs through Fleet Optimization and Maintenance." International Journal on Science and Technology 13, no. 1 (2022): 1–12. https://doi.org/10.5281/zenodo.14474529.

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The USA trucking industry serves as a critical backbone for supply chain and logistics operations, yet it faces significant challenges in managing operational costs due to rising fuel prices, maintenance expenses, and driver shortages. Fleet optimization and maintenance strategies have emerged as effective solutions to reduce these expenses while maintaining efficiency and reliability. This paper explores the role of fleet optimization techniques, such as route planning, load management, and driver behavior monitoring, in minimizing fuel consumption and improving overall fleet utilization. It

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Chavalle, Luc, and Luis Chavez-Bedoya. "The impact of transaction costs in portfolio optimization." Journal of Economics, Finance and Administrative Science 24, no. 48 (2019): 288–311. http://dx.doi.org/10.1108/jefas-12-2017-0126.

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Purpose This paper aims to analyze the impact of transaction costs in portfolio optimization in Peru. The study aims to compare the transaction costs structure applied in Peru with respect to the ones applied in the USA, and over a few dimensions. Design/methodology/approach The paper opted for an empirical study analyzing the cost of rebalancing portfolios over a set period and dimensions. Stocks have been carefully selected using Bloomberg terminals, and portfolio designed then rebalanced using VBA programming. Over a few dimensions as type and number of stocks, holding period and trading st

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Günther, Matthias, and Michael Eichinger. "Cost optimization for the 100% renewable electricity scenario for the Java-Bali grid." International Journal of Renewable Energy Development 7, no. 3 (2018): 269–76. http://dx.doi.org/10.14710/ijred.7.3.269-276.

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A 100% renewable electricity supply is no insurmountable technical problem anymore after the respective technologies to harvest the energy from multiple renewable energy sources have been developed and have reached a high level of maturity. A problem may rather be suspected to reside on the economic side of an exclusively renewable electricity supply. The present study examines the economic implications of a renewable energy scenario for the Java-Bali grid. Based on given energy supply scenarios, the costs of an electricity supply from renewable energy sources alone are determined. Economic op

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Meyanto, Purwanto Andi, Susatyo Handoko, and Mochammad Facta. "A Comparative Smart Computation Algorithm for Economic And Emission Dispatch Optimization of Tanjung Jati Power Plant." Proceedings of the 1st International Conference on Social Science (ICSS) 3, no. 1 (2024): 103–13. http://dx.doi.org/10.59188/icss.v3i1.172.

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This research delves into optimization strategies for enhancing power generation efficiency and reducing costs in PLTU Tanjung Jati. The study explores three computational algorithms for optimization: Grey Wolf Optimization (GWO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO), focusing on optimizing power generation costs while considering penalty costs and emissions. Through extensive simulations and evaluations, the results indicate that the GWO algorithm achieves the most optimal outcomes in terms of cost optimization, demonstrating fast convergence and lesser simulation tim

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Muammar Khadapi and Suci Ramadani. "Optimization Of Sandal Production Using Linear Programming." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 3, no. 3 (2024): 631–38. http://dx.doi.org/10.59934/jaiea.v3i3.470.

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In order to maximize income and minimize material costs, sandal manufacture involves other operational expenditures in addition to raw material costs that must be calculated. The goal of this study is to maximize earnings by optimizing sandal production costs, with a focus on the Diona Shoes home sector. By identifying the restrictions and inequalities present in the linear program, you can utilize linear programming to solve production cost optimization challenges. The simplex method is a technique for solving linear programming problems that involve numerous inequalities and variables by doi

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