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Journal articles on the topic 'PROFIT MANAGEMENT ALGORITHM'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Wang, Xiaoli, Fang Wang, Shi Yan, and ZhanBo Liu. "Application of Sequential Pattern Mining Algorithm in Commodity Management." Journal of Electronic Commerce in Organizations 16, no. 3 (2018): 94–106. http://dx.doi.org/10.4018/jeco.2018070108.

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This article describes how by analyzing historical sales data of supermarkets, once data is cleaned, sampled and put through a series of operations, it can be transformed into a sequence database. Finally, the data is used in the SPM of Map-Reduce algorithm to data mining. This experiment has two stages. In the first stage, the sequences of product categories are mined to place the product categories. In the second stage, the products are mined for each category, add profit targets for calculating sequential pattern values. This is so that it can reorder the results to find the most profit pro

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Amudha, A., and C. Christober Asir Rajan. "On Line Application of Profit Based Unit Commitment Using Hybrid Algorithms of Memory Management Algorithm." Advanced Materials Research 403-408 (November 2011): 3965–72. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3965.

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As the electrical industry restructures, many of the traditional algorithms for controlling generating units need modification or replacement. In the past, utilities had to produce power to satisfy their customers with the objective to minimize costs and actual demand/reserve were met. But it is not necessary in a restructured system. The main objective of restructured system is to maximize their own profit without the responsibility of satisfying the forecasted demand. The PBUC is a highly dimensional mixed-integer optimization problem, which might be very difficult to solve. Hence a new soft

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Mahesh Prabhu, R., G. Hema, Srilatha Chepure, and M. Nageswara Guptha. "Logistics Optimization in Supply Chain Management using Clustering Algorithms." Scalable Computing: Practice and Experience 21, no. 1 (2020): 107–14. http://dx.doi.org/10.12694/scpe.v21i1.1628.

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Today’s business environment, survival and making profit in market are the prime requirement for any enterprise due to competitive environment. Innovation and staying updated are commonly identified two key parameters for achieving success and profit in business. Considerably supply chain management is also accountable for profit. As a measure to maximize the profit, supply chain process is to be streamlined and optimized. Appropriate grouping of various suppliers for the benefit of shipment cost reduction is proposed. Data relating to appropriate attributes of supplier logistics are collected

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Huo, Jia-Zhen, Yan-Ting Hou, Feng Chu, and Jun-Kai He. "A Combined Average-Case and Worst-Case Analysis for an Integrated Hub Location and Revenue Management Problem." Discrete Dynamics in Nature and Society 2019 (March 12, 2019): 1–13. http://dx.doi.org/10.1155/2019/8651728.

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This paper investigates joint decisions on airline network design and capacity allocation by integrating an uncapacitated single allocation p-hub median location problem into a revenue management problem. For the situation in which uncertain demand can be captured by a finite set of scenarios, we extend this integrated problem with average profit maximization to a combined average-case and worst-case analysis of this integration. We formulate this problem as a two-stage stochastic programming framework to maximize the profit, including the cost of installing the hubs and a weighted sum of aver

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Kim, Yohan, Sunyong Kim, and Hyuk Lim. "Reinforcement Learning Based Resource Management for Network Slicing." Applied Sciences 9, no. 11 (2019): 2361. http://dx.doi.org/10.3390/app9112361.

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Network slicing to create multiple virtual networks, called network slice, is a promising technology to enable networking resource sharing among multiple tenants for the 5th generation (5G) networks. By offering a network slice to slice tenants, network slicing supports parallel services to meet the service level agreement (SLA). In legacy networks, every tenant pays a fixed and roughly estimated monthly or annual fee for shared resources according to a contract signed with a provider. However, such a fixed resource allocation mechanism may result in low resource utilization or violation of us

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Brester, Christina, Ivan Ryzhikov, and Eugene Semenkin. "Multi-objective Optimization Algorithms with the Island Metaheuristic for Effective Project Management Problem Solving." Organizacija 50, no. 4 (2017): 364–73. http://dx.doi.org/10.1515/orga-2017-0027.

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Abstract Background and Purpose: In every organization, project management raises many different decision-making problems, a large proportion of which can be efficiently solved using specific decision-making support systems. Yet such kinds of problems are always a challenge since there is no time-efficient or computationally efficient algorithm to solve them as a result of their complexity. In this study, we consider the problem of optimal financial investment. In our solution, we take into account the following organizational resource and project characteristics: profits, costs and risks. Des

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Truschenko, Irina. "Algorithm for making management decisions on the use of outsourcing by entrepreneurial structures." Russian Journal of Management 9, no. 1 (2021): 216–20. http://dx.doi.org/10.29039/2409-6024-2021-9-1-216-220.

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Due to the economic downturn and high competition in the market, business structures are constantly looking for ways to optimize financial resources, as well as ways to increase their profits. Thus, a number of business structures use outsourcing as one of the effective tools for managing their resources. The transfer of individual business processes can allow the entrepreneurial structure to focus on strategically important areas of activity, due to which the profit of the entrepreneurial structure can be increased. According to the author's observations, the functioning of any business

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Kumari, Monika, and G. Sahoo. "Design and Analysis of Sustainable and Seasonal Profit Scaling Model in Cloud Environment." Scientific Programming 2019 (October 24, 2019): 1–14. http://dx.doi.org/10.1155/2019/7457938.

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Cloud is a widely used platform for intensive computing, bulk storage, and networking. In the world of cloud computing, scaling is a preferred tool for resource management and performance determination. Scaling is generally of two types: horizontal and vertical. The horizontal scale connects users’ agreement with the hardware and software entities and is implemented physically as per the requirement and demand of the datacenter for its further expansion. Vertical scaling can essentially resize server without any change in code and can increase the capacity of existing hardware or software by a

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Jamali, Gholamreza, Shib Sankar Sana, and Reza Moghdani. "Hybrid improved cuckoo search algorithm and genetic algorithm for solving Markov-modulated demand." RAIRO - Operations Research 52, no. 2 (2018): 473–97. http://dx.doi.org/10.1051/ro/2017076.

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One of the fundamental problems in supply chain management is to design the effective inventory control policies for models with stochastic demands because efficient inventory management can both maintain a high customers’ service level and reduce unnecessary over and under-stock expenses which are significant key factors of profit or loss of an organization. In this study, a new formulation of an inventory system is analyzed under discrete Markov-modulated demand. We employ simulation-based optimization that combines simulated annealing pattern search and ranking selection (SAPS&RS) metho

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Qu, Shou Ning, Qin Wang, Kui Liu, and De Jun Xu. "Research and Application in Supply Chain Management Based on Correlation Analyze of Association Rules Algorithm." Materials Science Forum 532-533 (December 2006): 1024–27. http://dx.doi.org/10.4028/www.scientific.net/msf.532-533.1024.

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In this paper, the association rule algorithm and its defects were analyzed. An improved algorithm was put forward for applying it to analysis the association of products fittings in SCM. The application of improved algorithm can mine which kinds of fittings or sets of items being matched to get a salable product or gain the higher profit. So it can not only instruct customer’s consumption but also can help the entrepreneur make a detailed and efficient internal plan.

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Ahmadi-Javid, Amir, Elahe Amiri, and Mahla Meskar. "A Profit-Maximization Location-Routing-Pricing Problem: A Branch-and-Price Algorithm." European Journal of Operational Research 271, no. 3 (2018): 866–81. http://dx.doi.org/10.1016/j.ejor.2018.02.020.

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Krasnov, Sergey, Sergey Sergeev, Elizaveta Zotova, and Nadezhda Grashchenko. "Algorithm of optimal management for the efficient use of energy resources." E3S Web of Conferences 110 (2019): 02052. http://dx.doi.org/10.1051/e3sconf/201911002052.

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The paper presents the results of the developed algorithms aimed at optimizing management decision-making by the administration of megalopolises. A mathematical model is obtained within the concept of digital economy. The regulatory action of dispositive decisions is aimed at business entities whose activities are externalized while consuming energy resources. Since any resources are used unevenly throughout the year, the authors apply the methods of the theory of optimal decisions. The criterion is the functional reflection of the balance between the maximum profit, the comfort of living cond

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Ren, Yaping, Daoyuan Yu, Chaoyong Zhang, Guangdong Tian, Leilei Meng, and Xiaoqiang Zhou. "An improved gravitational search algorithm for profit-oriented partial disassembly line balancing problem." International Journal of Production Research 55, no. 24 (2017): 7302–16. http://dx.doi.org/10.1080/00207543.2017.1341066.

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Li, Yan Cang, Juan Juan Suo, and Shu Jing Zhou. "A Novel Assessment Algorithm Based on Grey AHP." Applied Mechanics and Materials 26-28 (June 2010): 269–72. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.269.

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In order to find a more effective method for real estate investment evaluation, the grey AHP is applied and hierarchical assessment system is presented. First, the grey-relevant method is employed to evaluate the profit of the investment. During quantifying the qualitative indexes, set-valued statistic analysis is introduced, which reduces the uncertainty of the real estate investment assessment. A case shows that the method is feasible and valid. This study has significance in theory and practice for the real estate investment management.

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Das, Debasis, Arindam Roy, and Samarjit Kar. "A Production-Inventory Model for a Deteriorating Item Incorporating Learning Effect Using Genetic Algorithm." Advances in Operations Research 2010 (2010): 1–26. http://dx.doi.org/10.1155/2010/146042.

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Demand for a seasonal product persists for a fixed period of time. Normally the “finite time horizon inventory control problems” are formulated for this type of demands. In reality, it is difficult to predict the end of a season precisely. It is thus represented as an uncertain variable and known as random planning horizon. In this paper, we present a production-inventory model for deteriorating items in an imprecise environment characterised by inflation and timed value of money and considering a constant demand. It is assumed that the time horizon of the business period is random in nature a

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Tukino, Tukino. "Penerapan Algoritma C4.5 Untuk Memprediksi Keuntungan Pada PT SMOE Indonesia." JURNAL SISTEM INFORMASI BISNIS 9, no. 1 (2019): 39. http://dx.doi.org/10.21456/vol9iss1pp39-46.

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In the construction project activities, planning is used as a reference for job implementers and becomes the standard of project implementation, including: documents, technical specifications, schedule and budget. Inappropriate planning, inaccurate project realization investigations, inadequate project management skills and lack of professional service providers, are closely related to the outcome of a construction project process. PT SMOE Indonesia which is a company engaged in construction consulting services. At the present time PT SMOE Indonesia has done many construction planning projects

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Zang, Hannie, and JongWon Kim. "Reinforcement Learning Based Peer-to-Peer Energy Trade Management Using Community Energy Storage in Local Energy Market." Energies 14, no. 14 (2021): 4131. http://dx.doi.org/10.3390/en14144131.

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Many studies have proposed a peer-to-peer energy market where the prosumers’ actions, including energy consumption, charge and discharge schedule of energy storage systems, and transactions in local energy markets, are controlled by a central operator. In this paper, prosumers’ actions are not controlled by an operator, and the prosumers freely participate in the local energy market to trade energy with other prosumers. We designed and modeled a local energy market with a management algorithm that uses community energy storage for prosumers who competitively participate in trade in the real-ti

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Elisa, Erlin. "PREDIKSI PROFIT PADA PERUSAHAAN DENGAN KLASIFIKASI ALGORITMA C4.5." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 5, no. 2 (2018): 179. http://dx.doi.org/10.20527/klik.v5i2.153.

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<p><em>In the construction project activities, planning is used as a reference for job implementers and becomes the standard of project implementation, including: documents, technical specifications, schedule and budget. Inappropriate planning, inaccurate project realization investigations, inadequate project management skills and lack of professional service providers, are closely related to the outcome of a construction project process. CV.XYZ Abadi which is a company engaged in construction consulting services. At the present time CV.XYZ Abadi has done many construction planning

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Behnamian, J. "Multi-agent capacitated scheduling for profit-maximizing using a decomposition-based branch and cut algorithm." International Journal of Management Science and Engineering Management 16, no. 2 (2021): 73–82. http://dx.doi.org/10.1080/17509653.2021.1872456.

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Zhang, Mengying, John Wang, and Hongwei Liu. "The Probabilistic Profitable Tour Problem." International Journal of Enterprise Information Systems 13, no. 3 (2017): 51–64. http://dx.doi.org/10.4018/ijeis.2017070104.

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A new routing problem is introduced and named as the probabilistic profitable tour problem in this paper. The problem is defined on a complete graph where profits are associated with the vertices and travel costs are associated with the edges. Each vertex (customer) has a probability of requiring a visit on a given day. The tour starts and ends at a fixed vertex, and each vertex can never be visited more than one time. Once a vertex is visited, an associated profit is collected and the corresponding travel cost occurs. The objective is to find a subset of vertices and an a priori tour through

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Krile, Srećko. "Efficient heuristic for non-linear transportation problem on the route with multiple ports." Polish Maritime Research 20, no. 4 (2013): 80–86. http://dx.doi.org/10.2478/pomr-2013-0044.

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ABSTRACT We need a better transport planning tool for loading maximization and transport cost minimization on the voyage route with multiple loading/unloading (discharging) ports. The implemented heuristic algorithm is able to find out an appropriate routing sequence with maximal earnings and profit. In the same time it looks for minimal loading/discharging and transshipment costs, but with fulfillment of cargo demands in a number of ports on the route. The efficient algorithm for optimal transport of N cargo loads (e.g. contingent of containers) for ships with limited capacity is being develo

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Chiadamrong, Navee, and Chayanan Tangchaisuk. "Hybrid Simulation-Based Optimization for Production Planning of a Dedicated Remanufacturing System." International Journal of Knowledge and Systems Science 12, no. 3 (2021): 53–79. http://dx.doi.org/10.4018/ijkss.2021070103.

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This paper presents a comparative simulation study of a dedicated remanufacturing system. The production line of a dedicated remanufacturing system producing multiple products under uncertain environment is improved through the simulation-based optimization approach. Appropriate inventory capacity of buffers, a proper switching rule, and a suitable run size of each product should be optimally set to yield the highest system's profit. Then, hybrid simulation-based optimization algorithms with two hybrid optimization forms using a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) as c

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Gavalas, Damianos, Charalampos Konstantopoulos, Konstantinos Mastakas, and Grammati Pantziou. "Efficient Cluster-Based Heuristics for the Team Orienteering Problem with Time Windows." Asia-Pacific Journal of Operational Research 36, no. 01 (2019): 1950001. http://dx.doi.org/10.1142/s0217595919500015.

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In the Team Orienteering Problem with Time Windows (TOPTW), a variant of the Vehicle Routing Problem with Profits, a set of locations is given, each associated with a profit, a visiting time and a time window. The aim is to maximize the overall profit collected by a number of routes, while the duration of each route must not exceed a given time budget. TOPTW is NP-hard and is typically used to model the Tourist Trip Design Problem. The latter deals with deriving near optimal multiple-day tours for tourists visiting a destination with several points of interest (POIs). The most efficient known

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Sarkar, Biswajit, Bikash Koli Dey, Mitali Sarkar, Sun Hur, Buddhadev Mandal, and Vinti Dhaka. "Optimal replenishment decision for retailers with variable demand for deteriorating products under a trade-credit policy." RAIRO - Operations Research 54, no. 6 (2020): 1685–701. http://dx.doi.org/10.1051/ro/2019100.

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In this study one obtained the optimal decision of a retailer for the replenishment rate with selling-price and credit-period dependent demand to maximize the profit. A time-varying deterioration rate was considered for those products. A credit-period was offered by the retailer to the end customer to settle the whole payments. The aim of the model was to obtain the maximum profit for the retailer based model. A solution methodology with an algorithm was used to obtain the global optimum profit. An illustrative numerical example was given to test the practical applicability of the model. Numer

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Yang, Hualong, and Yuwei Xing. "Containerships Sailing Speed and Fleet Deployment Optimization under a Time-Based Differentiated Freight Rate Strategy." Journal of Advanced Transportation 2020 (August 17, 2020): 1–16. http://dx.doi.org/10.1155/2020/4103275.

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This paper investigates the problem of containership sailing speed and fleet deployment optimization in an intercontinental liner shipping network. Under the consideration of the time value of container cargo, three kinds of impact of sailing speed changes on long legs of each liner route are analysed, and a time-based freight rate strategy is proposed. Then, the optimization problem is formulated as a mixed-integer nonlinear programming. Its goal is to maximize the total profits of a container liner shipping. To find the optimal solution to the model and improve the efficiency of model soluti

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Adinyira, Emmanuel, Emmanuel Akoi-Gyebi Adjei, Kofi Agyekum, and Frank Desmond Kofi Fugar. "Application of machine learning in predicting construction project profit in Ghana using Support Vector Regression Algorithm (SVRA)." Engineering, Construction and Architectural Management 28, no. 5 (2021): 1491–514. http://dx.doi.org/10.1108/ecam-08-2020-0618.

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PurposeKnowledge of the effect of various cash-flow factors on expected project profit is important to effectively manage productivity on construction projects. This study was conducted to develop and test the sensitivity of a Machine Learning Support Vector Regression Algorithm (SVRA) to predict construction project profit in Ghana.Design/methodology/approachThe study relied on data from 150 institutional projects executed within the past five years (2014–2018) in developing the model. Eighty percent (80%) of the data from the 150 projects was used at hyperparameter selection and final traini

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Hou, Yan-Ting, Jia-Zhen Huo, and Feng Chu. "An Integrated Problem of p-Hub Location and Revenue Management with Multiple Capacity Levels under Disruptions." Journal of Advanced Transportation 2019 (April 1, 2019): 1–14. http://dx.doi.org/10.1155/2019/1812543.

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This paper considers an integrated hub location and revenue management problem in which a set of capacities is available from which one can be chosen for each hub and the disruption is considered in a star-star shaped airline network. We propose a two-stage stochastic programming model to maximize the profit of the network in which the cost of installing the hubs at different levels of capacities, the transportation cost, and the revenue obtained by selling airline tickets are considered. To provide flexible solutions, a hybrid two-stage stochastic programming-robust optimization model is deve

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Utama, Dana Marsetiya, Heri Mujayin Kholik, and Azis Fredy Mulya. "Integrated Procurement-Production Inventory Model with Two-Stage Production." Jurnal Teknik Industri 21, no. 2 (2020): 185–99. http://dx.doi.org/10.22219/jtiumm.vol21.no2.185-199.

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The inventory-production system concerns the effective management of the goods flows from raw materials to finished products. The Integrated Procurement-Production (IPP) system consists of many elements that must be managed effectively. The problem will be more complex if it involves deciding on the number of delivery frequencies at the retailer level. In this case, the Integrated Procurement-Production's objective function depends on the frequency of raw material shipments, the frequency of delivery of finished products, and the time of the production cycle. This study aims to develop an IPP

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Samanta, S., A. Ojha, B. Das, and S. K. Mondal. "A Profit Maximisation Solid Transportation Problem Using Genetic Algorithm in Fuzzy Environment." Fuzzy Information and Engineering 13, no. 1 (2021): 40–57. http://dx.doi.org/10.1080/16168658.2021.1915454.

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Singhal, Jaya, and Kalyan Singhal. "A Noniterative Algorithm for the Linear-Quadratic Profit-Maximization Model for Smoothing Multiproduct Production." INFORMS Journal on Computing 20, no. 2 (2008): 169–78. http://dx.doi.org/10.1287/ijoc.1070.0227.

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Lin, Chun-Wei R., Yuh-Jiuan Melody Parng, and Yu-Lin Chen. "Profit optimization of sustainable low-to-medium temperature waste heat recovering management." Industrial Management & Data Systems 118, no. 2 (2018): 330–48. http://dx.doi.org/10.1108/imds-04-2017-0148.

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Purpose Responding to natural resource depletion and carbon dioxide (CO2) emission problems, and also the stricter government’s energy regulations, the purpose of this paper is to develop a sustainable waste heat recovery optimal-profit-oriented management model especially targeting on the easily forgotten low- and medium-temperature waste heat in the industry. In the paper, a system is constructed to facilitate converting the low- and medium-grade waste heat in factories into electricity, and yields optimal profit. Design/methodology/approach This paper integrates an efficient Organic Rankine

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Zhou, Ming Shi. "Algorithm Realization of GUI Visualization Window Based on Numerical Simulation of Matlab." Applied Mechanics and Materials 556-562 (May 2014): 3868–71. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3868.

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This paper uses EVA investment objective function and benefits to establish the risk assessment model of enterprise investment and financing combination, and expounds the specific processes of computer EVA investment and financing risk management and designs the elimination matrix algorithm. In order to validate the validity and reliability of risk assessment model designed in this paper, the third part has designed numerical simulation of MATLAB, and an enterprise's 2011-2013 financial statements is took as an example to assess enterprise investment and financing risk. It can find that throug

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Pulansari, Farida, and Triyono Dwi Retno M. "The Unrelated Parallel Machine Scheduling with a Dependent Time Setup using Ant Colony Optimization Algorithm." Jurnal Teknik Industri 23, no. 1 (2021): 65–74. http://dx.doi.org/10.9744/jti.23.1.65-74.

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The unrelated parallel machine scheduling (PMS) problem is essential for the manufacturing industry. Scheduling will save company resources, especially time management. By solving scheduling problems quickly and precisely, the company can get more profit. On that note, this paper focused on unrelated PMS problems, which did not consider the inherent uncertainty in processing time and set up time by minimizing the makespan and tardiness. This paper aimed to minimize the makespan and tardiness using timing considerations. This paper described how to schedule unrelated parallel machines using the

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Kalashnikov, Vyacheslav V., Roberto Carlos Herrera Maldonado, José-Fernando Camacho-Vallejo, and Nataliya I. Kalashnykova. "A heuristic algorithm solving bilevel toll optimization problems." International Journal of Logistics Management 27, no. 1 (2016): 31–51. http://dx.doi.org/10.1108/ijlm-06-2013-0072.

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Purpose – One of the most important problems concerning the toll roads is the setting of an appropriate cost for traveling through private arcs of a transportation network. The purpose of this paper is to consider this problem by stating it as a bilevel programming (BLP) model. At the upper level, one has a public regulator or a private company that manages the toll roads seeking to increase its profits. At the lower level, several companies-users try to satisfy the existing demand for transportation of goods and/or passengers, and simultaneously, to select the routes so as to minimize their t

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Amnur, Hidra. "Customer Relationship Management and Machine Learning Technology for Identifying the Customer." JOIV : International Journal on Informatics Visualization 1, no. 1 (2017): 12. http://dx.doi.org/10.30630/joiv.1.1.10.

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Customer Relationship Management needed for the company to know their customer more closed, and make two-way communication between company and customer. in CRM solutions are multi-criteria decision-making analysis tools that do not require prior assumptions to explore the weights and performances among project risk, project management and organization performance, based on research framework of stimulus-organism response model. in this study, Machine learning with Support Vector Machine algorithm is currently for classification task due to its ability to model nonlinearities CRM Solutions. Wit

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Czerniachowska, Kateryna, and Marcin Hernes. "A Genetic Algorithm for the Shelf-Space Allocation Problem with Vertical Position Effects." Mathematics 8, no. 11 (2020): 1881. http://dx.doi.org/10.3390/math8111881.

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The shelf-space on which products are displayed is one of the most important resources in the retail environment. Therefore, decisions about shelf-space allocation and optimization are critical in retail operation management. This paper addresses the problem of a retailer who sells various products by displaying them on the shelf at stores. We present a practical shelf-space allocation model, based on a genetic algorithm, with vertical position effects with the objective of maximizing the retailer’s profit. The validity of the model is illustrated with example problems and compared to the CPLE

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Noh, Jiseong, Hyun-Ji Park, Jong Soo Kim, and Seung-June Hwang. "Gated Recurrent Unit with Genetic Algorithm for Product Demand Forecasting in Supply Chain Management." Mathematics 8, no. 4 (2020): 565. http://dx.doi.org/10.3390/math8040565.

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Product demand forecasting plays a vital role in supply chain management since it is directly related to the profit of the company. According to companies’ concerns regarding product demand forecasting, many researchers have developed various forecasting models in order to improve accuracy. We propose a hybrid forecasting model called GA-GRU, which combines Genetic Algorithm (GA) with Gated Recurrent Unit (GRU). Because many hyperparameters of GRU affect its performance, we utilize GA that finds five kinds of hyperparameters of GRU including window size, number of neurons in the hidden state,

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Haraty, Ramzi A. "Innovative Mobile E-Healthcare Systems: A New Rule-Based Cache Replacement Strategy Using Least Profit Values." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6141828.

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Providing and managing e-health data from heterogeneous and ubiquitous e-health service providers in a content distribution network (CDN) for providing e-health services is a challenging task. A content distribution network is normally utilized to cache e-health media contents such as real-time medical images and videos. Efficient management, storage, and caching of distributed e-health data in a CDN or in a cloud computing environment of mobile patients facilitate that doctors, health care professionals, and other e-health service providers have immediate access to e-health information for ef

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Fouladfar, Mohammad Hossein, Abdolah Loni, Mahsa Bagheri Tookanlou, et al. "The Impact of Demand Response Programs on Reducing the Emissions and Cost of A Neighborhood Home Microgrid." Applied Sciences 9, no. 10 (2019): 2097. http://dx.doi.org/10.3390/app9102097.

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The desire to increase energy efficiency and reliability of power grids, along with the need for reducing carbon emissions has led to increasing the utilization of Home Micro-grids (H-MGs). In this context, the issue of economic emission dispatch is worthy of consideration, with a view to controlling generation costs and reducing environmental pollution. This paper presents a multi-objective energy management system, with a structure based on demand response (DR) and dynamic pricing (DP). The proposed energy management system (EMS), in addition to decreasing the market clearing price (MCP) and

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Jiang, Yan. "Dynamic Spectrum Auction and Load Balancing Algorithm in Heterogeneous Network." International Journal of Advanced Pervasive and Ubiquitous Computing 3, no. 3 (2011): 14–23. http://dx.doi.org/10.4018/japuc.2011070102.

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Mobile communication plays an important role in the future of communication systems. To meet personalized and intelligent requirements, mobile communication has evolved from single wireless cellular network to heterogeneous mobile communication network, including wireless cellular network, wireless local network, and wireless personal network. In the heterogeneous communication system, to entirely fulfill the spectrum resource complementary advantages of such a heterogeneous wireless network, the spectrum resource trade algorithm has attracted tremendous research efforts. In this paper, the ad

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Xu, Yifan, and Xiuli Chao. "DYNAMIC PRICING AND INVENTORY CONTROL FOR A PRODUCTION SYSTEM WITH AVERAGE PROFIT CRITERION." Probability in the Engineering and Informational Sciences 23, no. 3 (2009): 489–513. http://dx.doi.org/10.1017/s0269964809000308.

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In this article we study the joint optimization of finished goods inventory and pricing in a make-to-stock production system with long-run average profit criterion. The production time is random with controllable rate and the demand is Markovian with rate depending on the sale price. The objective is to dynamically adjust the production rate and the sale price to maximize the long-run average profit. We obtain the optimal dynamic pricing and production control policy and present an efficient bisection algorithm for computing the policy parameters.

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Shabbar, Rawan, Anemone Kasasbeh, and Mohamed M. Ahmed. "Charging Station Allocation for Electric Vehicle Network Using Stochastic Modeling and Grey Wolf Optimization." Sustainability 13, no. 6 (2021): 3314. http://dx.doi.org/10.3390/su13063314.

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Optimal placement of Charging stations (CSs) and infrastructure planning are one of the most critical challenges that face the Electric Vehicles (EV) industry nowadays. A variety of approaches have been proposed to address the problem of demand uncertainty versus the optimal number of CSs required to build the EV infrastructure. In this paper, a Markov-chain network model is designed to study the estimated demand on a CS by using the birth and death process model. An investigation on the desired number of electric sockets in each CS and the average number of electric vehicles in both queue and

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Teimoori, Shima, Seyedeh Fatemeh Attar, and Seyed Hamid Reza Pasandideh. "A New Hybrid Method for Optimizing Vendor-Managed Inventory Model." Journal of Advanced Manufacturing Systems 18, no. 02 (2019): 255–72. http://dx.doi.org/10.1142/s0219686719500136.

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This research proposes an effective procedure that is considered in exact solution methods category for solving a nonlinear model of single-manufacturer multi-retailer with multi-product supply chain which uses vendor-managed inventory (VMI) policy. The objective is to maximize total profit for the vendor while satisfying retailers’ benefit under the various operational constraints. Since most of the time there are defective goods in each delivery, this model investigates the inspection and screening process in which imperfect quality items are rejected and the retailers may encounter the shor

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Chen, Shiyu, Wei Wang, and Enrico Zio. "A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains." Energies 14, no. 9 (2021): 2684. http://dx.doi.org/10.3390/en14092684.

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The work presents a simulation-based Multi-Objective Optimization (MOO) framework for efficient production planning in Energy Supply Chains (ESCs). An Agent-based Model (ABM) that is more comprehensive than others adopted in the literature is developed to simulate the agent’s uncertain behaviors and the transaction processes stochastically occurring in dynamically changing ESC structures. These are important realistic characteristics that are rarely considered. The simulation is embedded into a Non-dominated Sorting Genetic Algorithm (NSGA-II)-based optimization scheme to identify the Pareto s

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Song, Sang, and Taesu Cheong. "Pattern-Based Set Partitioning Algorithm for the Integrated Sustainable Operation of a District Heating Network." Sustainability 10, no. 8 (2018): 2774. http://dx.doi.org/10.3390/su10082774.

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District heating is a system of distributing heated water from centralized facilities to local homes and buildings. In this paper, we model the distribution planning problem as a supply chain planning problem and propose an explicit column generation algorithm to handle large-scale data and nonlinear constraints. The algorithm is successfully applied to a Korean district heating company and computational experiments show that the integrated operation of the district heating network increases the total profit compared to previous isolated networks.

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Sulaima, M. F., N. Y. Dahlan, M. H. Isa, M. N. Othman, Z. M. Yasin, and H. A. Kasdirin. "ETOU electricity tariff for manufacturing load shifting strategy using ACO algorithm." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 21–29. http://dx.doi.org/10.11591/eei.v8i1.1438.

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This paper presents load shifting strategy for cost reduction on manufacturing electricity demand side, by which a real test load profile had been used to prove the concept. Superior bio-inspired algorithm, Ant Colony Optimization (ACO) had been implemented to optimize the upright load profile of load shifting strategy in the Malaysia Enhance Time of Use (ETOU) tariff condition. Subsequently, significant simulation results of operation profit gain through 24 hours electricity consumption had been analyzed properly. The proposed method had shown reduction of approximately 6% of the electricity

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Abd Rahman, Rosshairy, Nurul Ezatty Mokhtar, and Ummu Latifah Bahrom. "SOLVING A FUEL DISTRIBUTION PROBLEM USING GENETIC ALGORITHM: A TRAVELING SALESMANPROBLEMAPPROACH." Journal of Technology and Operations Management 12, Number 1 (2018): 51–55. http://dx.doi.org/10.32890/jtom2017.12.1.6.

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Petrol or fuel is the product that people use daily and have a high demand. Therefore, the delivery of petrol from origin to each petrol station is done daily. This distribution process concerns the management as they have to minimize the cost while maximizing the profit. Hence, this paper aims to develop a model that is able to determine the shortest path for delivery these petrol in one company in Selangor. The problem is solved using Traveling Salesman Problem (TSP) approach, where the data were collected using Google Maps application. The shortest distance was attained using Genetic Algori

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Vasiyullah, S. F. Syed, and S. G. Bharathidasan. "Profit Based Unit Commitment of Thermal Units with Renewable Energy and Electric Vehicles in Power Market." Journal of Electrical Engineering & Technology 16, no. 1 (2020): 115–29. http://dx.doi.org/10.1007/s42835-020-00579-3.

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AbstractIn restructured power system, Generation Companies (GENCOs) has an opportunity to sell power and reserve in power market to earn profit by market clearing process. Defining unit commitment problem in a competitive environment to maximize the profit of GENCOs while satisfying all the network constraints is called Profit Based Unit Commitment problem (PBUC). The main contribution of this paper is modeling and inclusion of Market Clearing Price (MCP) in PBUC problem. In Day market, MCP is determined by market operator which provides maximum social welfare for both GENCOs and Consumers.On

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Wang, Lvhang, Yongheng Pang, Bowen Zhou, and Shuowei Jin. "Cloud-Fog Computing-Based Distributed Event-Triggered Consensus Predictive Compensation for Optimal Energy Management in Microgrid under DoS Attack." Mathematical Problems in Engineering 2020 (November 18, 2020): 1–11. http://dx.doi.org/10.1155/2020/5401298.

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A cloud-fog computing-based event-triggered distributed energy optimization management method based on predictive attack compensation is proposed to address the problem of denial of service (DoS) attack, the complexity of computation, and the bandwidth constraint on the communication network in microgrids. Firstly, in order to optimize the energy supply of microgrid and maximize the profit, the minimum cost function of maintaining the balance of supply and demand is given considering the power loss of microgrid. Secondly, considering the problem of bandwidth-constrained communication, a distri

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Wang, Yangzi, Kai Zhang, Chun Zheng, and Huiyuan Chen. "An Optimal Energy Management Method for the Multi-Energy System with Various Multi-Energy Applications." Applied Sciences 8, no. 11 (2018): 2273. http://dx.doi.org/10.3390/app8112273.

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As the development of the multi-energy system (MES), various ME applications are deployed. ME applications not only bring advanced functionalities to the MES, but also show great potentials in promoting the operation performance of the MES, especially improving the accommodation of renewable energy sources (RES). However, the realization of these potentials largely relies on the energy management, which shall facilitate the effective function of each ME application and the coordinated collaboration of all the ME applications. Without a comprehensive energy management methodology, ME applicatio

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