Log in

Relevant bibliographies by topics / Cost-to-Serve Optimization / Journal articles

To see the other types of publications on this topic, follow the link: Cost-to-Serve Optimization.

Journal articles on the topic 'Cost-to-Serve Optimization'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Cost-to-Serve Optimization.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Researcher. "OPTIMIZING GLOBAL COST-TO-SERVE THROUGH ROBOTICS AND DIGITAL SMART FACTORIES: A MULTI-PLANT MANUFACTURING MODEL." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 501–15. https://doi.org/10.5281/zenodo.14003462.

Full text

Abstract:

This article examines the optimization of global cost-to-serve in manufacturing through the implementation of robotics and digital smart factories. In the context of Industry 4.0, we present a comprehensive framework for multinational manufacturers to leverage advanced technologies across their global plant networks. Our research, based on extensive literature review and empirical data from multiple countries, addresses key considerations including technology selection, implementation strategies, workforce development, and network optimization. The article reveals significant benefits, includi

APA, Harvard, Vancouver, ISO, and other styles

2

Lörincz, András, and Barnabás Póczos. "Cost Component Analysis." International Journal of Neural Systems 13, no. 03 (2003): 183–92. http://dx.doi.org/10.1142/s0129065703001558.

Full text

Abstract:

In optimizations the dimension of the problem may severely, sometimes exponentially increase optimization time. Parametric function approximatiors (FAPPs) have been suggested to overcome this problem. Here, a novel FAPP, cost component analysis (CCA) is described. In CCA, the search space is resampled according to the Boltzmann distribution generated by the energy landscape. That is, CCA converts the optimization problem to density estimation. Structure of the induced density is searched by independent component analysis (ICA). The advantage of CCA is that each independent ICA component can be

APA, Harvard, Vancouver, ISO, and other styles

3

Wang, Yantao, Jiashuai Li, Yujie Yuan, and Chun Sing Lai. "Joint Optimization of Cost and Scheduling for Urban Air Mobility Operation Based on Safety Concerns and Time-Varying Demand." Aerospace 11, no. 10 (2024): 861. http://dx.doi.org/10.3390/aerospace11100861.

Full text

Abstract:

As the value and importance of urban air mobility (UAM) are being recognized, there is growing attention towards UAM. To ensure that urban air traffic can serve passengers to the greatest extent while ensuring safety and generating revenue, there is an urgent need for a transportation scheduling plan based on safety considerations. The region of Beijing–Tianjin–Hebei was selected as the case study in this research. A real-time demand transportation scheduling model for a single day was constructed, with the total service population and total cost as objective functions, and safety intervals, e

APA, Harvard, Vancouver, ISO, and other styles

4

Xu, Wenxiu, and Shuang Liu. "Research on Optimization of Enterprise Logistics Management Mode based on Cost Control." Frontiers in Humanities and Social Sciences 3, no. 8 (2023): 86–91. http://dx.doi.org/10.54691/fhss.v3i8.5542.

Full text

Abstract:

The competition among enterprises is fierce, not only in performance, price and quality, but also in high-quality customer service. The rationality of logistics system determines the reliability of services and products provided by enterprises, and the level of customer service directly affects the level of logistics costs. Reasonable planning of enterprise cost can reduce enterprise's resource energy consumption to a certain extent, thus improving enterprise's economic benefits. By analyzing the influencing factors of enterprise logistics cost and the principles of logistics cost control, thi

APA, Harvard, Vancouver, ISO, and other styles

5

Zhang, De Jiang, Na Na Dong, and Xiao Mei Lin. "Contour Extraction of Cerebrovascular Based on Maximum Optimization Cost." Advanced Materials Research 204-210 (February 2011): 1415–18. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1415.

Full text

Abstract:

By studying the conventional algorithm of contour extraction, a new method of contour extraction in blood vessel of brain is proposed based on the MOC maximum optimization cost. First of all, the theory computes the gray differential of the image by conventional differential method to build the cost space. Then, by using dynamic programming theory, the maximum optimization cost curve in the space is extracted to serve as the specific cerebrovascular profile. The experiments show that this method ensures high efficiency in extracting cerebrovascular contour and a high accuracy in positioning ce

APA, Harvard, Vancouver, ISO, and other styles

6

Sumarti, Novriana, Ferdyanto Chandra, and Jeremy Minardi. "Optimization of Personnel Cost in Aircrew Assignment Problem using a Simple Fuzzy Logic Approach." MENDEL 23, no. 1 (2017): 133–40. http://dx.doi.org/10.13164/mendel.2017.1.133.

Full text

Abstract:

In aviation industries, the aircrew assignment problem is one of the most important factors in total operational cost optimization. This problem will be solved in two steps: flight pairing and aircrew scheduling. The constraints to be satisfied in flight pairing include having the same airport for first departure and final destination, and the limitations of flying time, duty time and transit time. The optimization process results in optimal flight pairings that minimize the number of personnel needed to serve a flight schedule over a given period of time. Further optimization is needed to obt

APA, Harvard, Vancouver, ISO, and other styles

7

Xu, Bowei, Xiaoyan Liu, Yongsheng Yang, Junjun Li, and Octavian Postolache. "Optimization for a Multi-Constraint Truck Appointment System Considering Morning and Evening Peak Congestion." Sustainability 13, no. 3 (2021): 1181. http://dx.doi.org/10.3390/su13031181.

Full text

Abstract:

Gate and yard congestion is a typical type of container port congestion, which prevents trucks from traveling freely and has become the bottleneck that constrains the port productivity. In addition, urban traffic increases the uncertainty of the truck arrival time and additional congestion costs. More and more container terminals are adopting a truck appointment system (TAS), which tries to manage the truck arrivals evenly all day long. Extending the existing research, this work considers morning and evening peak congestion and proposes a novel approach for multi-constraint TAS intended to ser

APA, Harvard, Vancouver, ISO, and other styles

8

Sissodia, Rajeshwari, ManMohan Singh Rauthan, and Varun Barthwal. "A Multi-Objective Optimization Scheduling Method Based on the Genetic Algorithm in Cloud Computing." International Journal of Cloud Applications and Computing 12, no. 1 (2022): 1–21. http://dx.doi.org/10.4018/ijcac.305217.

Full text

Abstract:

For task-scheduling problems in cloud computing, a multi-objective optimization method is proposed here. First, with an aim toward the biodiversity of resources and tasks in cloud computing. This paper propose a resource cost model that defines the demand of tasks on resources with more details. A multi-objective optimization scheduling method has been proposed based on this resource cost model. This method considers the makespan, wall clock time , execution time and the costs as constraints of the optimization problem. This paper proposed a multi-objective improved genetic algorithm (MOIGA) t

APA, Harvard, Vancouver, ISO, and other styles

9

Kushwaha, Arvinda, and Mohd Amjad. "A Particle Swarm Optimization Based Load Scheduling Algorithm in Cloud Platform for Wireless Sensor Networks." Scalable Computing: Practice and Experience 20, no. 1 (2019): 71–82. http://dx.doi.org/10.12694/scpe.v20i1.1464.

Full text

Abstract:

Integration of wireless sensor network into cloud computing is a growing paradigm that supports a massive amount of applications in cloud computing, optimization of resources required in the machines. This integration requires the optimization of resources to efficiently complete the different tasks in the devices at cloud platform. This optimization can be done using load scheduling algorithms. These algorithms reduce overload and achieve higher throughput by maximizing the machine utilization concerning cost stabilization. There are lots of methods like First Come First Serve, Min-Min, Parti

APA, Harvard, Vancouver, ISO, and other styles

10

Sommer, Jörg, Elias A. Doumith, and Andreas Reifert. "Cost-Based Topology Optimization of Embedded Ethernet Networks." International Journal of Embedded and Real-Time Communication Systems 2, no. 1 (2011): 1–22. http://dx.doi.org/10.4018/jertcs.2011010101.

Full text

Abstract:

During past decades, Ethernet progressively became the most widely used Local Area Network (LAN) technology. Apart from LAN installations, Ethernet also became attractive for other application areas such as industrial control, automotive, and avionics. In traditional LAN design, the objective is to minimize the network deployment cost. However, in embedded networks, additional constraints and ambient conditions add to the complexity of the problem. In this paper, the authors propose a Simulated Annealing (SA) algorithm to optimize the physical topology of an embedded Ethernet network. The vari

APA, Harvard, Vancouver, ISO, and other styles

11

Thurston, D. L., J. V. Carnahan, and T. Liu. "Optimization of Design Utility." Journal of Mechanical Design 116, no. 3 (1994): 801–8. http://dx.doi.org/10.1115/1.2919453.

Full text

Abstract:

Design optimization is often carried out with respect to a single objective, for example, weight, manufacturing cost, quality or robustness. However, when the design process is completed, a design is evaluated with respect to its performance in all of these areas, and possibly others, in addition to mechanical design considerations. We present a design method whose basic premise is that the process of design should be driven from the very beginning by consideration of how the artifact will ultimately be evaluated. A rigorously determined multiple attribute design evaluation function provides i

APA, Harvard, Vancouver, ISO, and other styles

12

Feng, Yunwen, Zhicen Song, and Cheng Lu. "The Optimization of Civil Aircraft Product Option Selection Considering the Economy Response with an Improved Non-Dominated Sorting Genetic Algorithm." Applied Sciences 12, no. 11 (2022): 5294. http://dx.doi.org/10.3390/app12115294.

Full text

Abstract:

To serve customized option selection for civil aircraft, a mathematical product option selection optimization model combined with an Improved Non-dominated Sorting Genetic Algorithm for decreasing aircraft fleet maintenance cost was investigated. For airlines, considering the economy and reliability in customized option selection is the most intuitive way to improve aircraft performance to generate the optimal formation configuration. Product option selection usually takes certain indicators as constraints (reliability and economy) to meet and maximize performance through equipment selection (

APA, Harvard, Vancouver, ISO, and other styles

13

Utami, Alvina Putri, and Bonivasius Prasetyo Ichtiarto. "SWEEP ALGORITHM IN CVRP TO OPTIMIZE DELIVERY AUTOMOTIVE SPARE PART." Jurnal PASTI 15, no. 3 (2021): 245. http://dx.doi.org/10.22441/pasti.2021.v15i3.002.

Full text

Abstract:

The CVRP to solve many optimization and application problems distribution especially of the automotive spare parts industry, West Java, Indonesia is presented has 120 customers who aim to optimize and maximize the capacity and cost of vehicles owned, namely 10 colts 6 diesel type vehicles. Vehicle routes are compared against the existing daily distribution routes showing that significant savings can be gained on the daily cost of transportation-related expenses. The objective of this research is to find a set of optimal routes that minimize the number of vehicles required and total distance tr

APA, Harvard, Vancouver, ISO, and other styles

14

Porada, Sławomir, Katarzyna Sygit, Grażyna Hejda, and Małgorzata Nagórska. "Optimization of the Use of Hospital Beds as an Example of Improving the Functioning of Hospitals in Poland on the Basis of the Provincial Clinical Hospital No. 1 in Rzeszow." International Journal of Environmental Research and Public Health 19, no. 9 (2022): 5349. http://dx.doi.org/10.3390/ijerph19095349.

Full text

Abstract:

An efficient health care system combines maximum accessibility with high-quality treatments, as well as cost optimization of individual health care facilities throughout the entire system. In hospitals, the critical element is the number of beds within individual wards, which generates costs and, at the same time, affects the capacity to serve patients. The aim of this article is to discuss the restructuring and optimization of hospital bed occupancy in a healthcare facility in the Podkarpackie voivodeship. The analysis covers the years 1999–2018. In the indicated period, the analyzed healthca

APA, Harvard, Vancouver, ISO, and other styles

15

Wang, Yong, Xiaolei Ma, Maozeng Xu, Likun Wang, Yinhai Wang, and Yong Liu. "A Methodology to Exploit Profit Allocation in Logistics Joint Distribution Network Optimization." Mathematical Problems in Engineering 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/827021.

Full text

Abstract:

Logistics joint distribution network (LJDN) optimization involves vehicle routes scheduling and profit allocation for multiple distribution centers. This is essentially a combinational and cooperative game optimization problem seeking to serve a number of customers with a fleet of vehicles and allocate profit among multiple centers. LJDN routing optimization based on customer clustering units can alleviate the computational complexity and improve the calculation accuracy. In addition, the profit allocation mechanism can be realized based on cooperative game theory through a negotiation procedu

APA, Harvard, Vancouver, ISO, and other styles

16

Ali, Babkir, and Ahmed Gamil. "Scenario-Based Optimization towards Sustainable Power Generation in Sudan." Sustainability 15, no. 20 (2023): 14954. http://dx.doi.org/10.3390/su152014954.

Full text

Abstract:

Sudan faces an electricity supply shortage despite its abundant natural resources. This paper aims to manage these resources for sustainable power generation to meet Sudan’s electricity demand. The sustainability assessment integrates quantitative analysis of power generation’s impacts on water, land, and greenhouse gas (GHG) emissions, in addition to the levelized cost of electricity (LCOE). Cost-effective, resource- and GHG emission-effective, and GHG-stringent scenarios are executed in this study to investigate the impact of different constraints on the sustainability of power generation in

APA, Harvard, Vancouver, ISO, and other styles

17

Nishanth Reddy Pinnapareddy. "Cloud Cost Optimization and Sustainability in Kubernetes." Journal of Information Systems Engineering and Management 10, no. 45s (2025): 533–51. https://doi.org/10.52783/jisem.v10i45s.8895.

Full text

Abstract:

The examination investigates how cloud cost optimization must fit dual requirements of environmental sustainability when applied to Kubernetes-based deployments, as these serve as crucial elements in modern cloud-native environments. Due to its remarkable operational features, Kubernetes became the leading container orchestration system after Google initially developed it, as it provides flexibility and resilience alongside scalability. Resource management proves challenging within Kubernetes deployments owing to their properties, which lead to high cloud costs and adverse environmental outcom

APA, Harvard, Vancouver, ISO, and other styles

18

Taban, Daniel, Valentin Apostol, Lavinia Grosu, et al. "Exergoeconomic Analysis of a Mechanical Compression Refrigeration Unit Run by an ORC." Entropy 25, no. 11 (2023): 1531. http://dx.doi.org/10.3390/e25111531.

Full text

Abstract:

To improve the efficiency of a diesel internal combustion engine (ICE), the waste heat carried out by the combustion gases can be recovered with an organic Rankine cycle (ORC) that further drives a vapor compression refrigeration cycle (VCRC). This work offers an exergoeconomic optimization methodology of the VCRC-ORC group. The exergetic analysis highlights the changes that can be made to the system structure to reduce the exergy destruction associated with internal irreversibilities. Thus, the preheating of the ORC fluid with the help of an internal heat exchanger leads to a decrease in the

APA, Harvard, Vancouver, ISO, and other styles

19

Fu, Qianyi, Wenjie Zhao, Shiyu Fang, Yiwen Zhu, Jun Li, and Qili Chen. "Online Trajectory Replanning for Avoiding Moving Obstacles Using Fusion Prediction and Gradient-Based Optimization." Applied Sciences 14, no. 18 (2024): 8339. http://dx.doi.org/10.3390/app14188339.

Full text

Abstract:

In this study, we introduce a novel method for an online trajectory replanning approach for fixed-wing Unmanned Aerial Vehicles (UAVs). Our method integrates moving obstacle predictions within a gradient-based optimization framework. The trajectory is represented by uniformly discretized waypoints, which serve as the optimization variables within the cost function. This cost function incorporates multiple objectives, including obstacle avoidance, kinematic and dynamic feasibility, similarity to the reference trajectory, and trajectory smoothness. To enhance prediction accuracy, we combine phys

APA, Harvard, Vancouver, ISO, and other styles

20

Neeraj, Panwar Rajesh Pokhariyal. "A comparison of cloud work scheduling algorithms with a Biogeography-based optimisation algorithm based on a Genetic Algorithm." Scandinavian Journal of Information Systems 34, no. 1 (2023): 129–37. https://doi.org/10.5281/zenodo.7885136.

Full text

Abstract:

A hybrid cloud is a platform which enables the owner of any business house to have certain domestic resources and various different resources to be procured from some external service provider. This model is quite helpful to avoid as well as handle the condition of a "cloud burst", where a private cloud setup is deemed to deal with the extra burden and then immediately has to switch to a public cloud to deal with the situation. Cloud Scheduling tries to achieve the “most eminent” plan or schedule for datacentres to serve the demanded service with minimum communication los

APA, Harvard, Vancouver, ISO, and other styles

21

Lakhina, Upasana, Irraivan Elamvazuthi, Nasreen Badruddin, Ajay Jangra, Bao-Huy Truong, and Joseph M. Guerrero. "A Cost-Effective Multi-Verse Optimization Algorithm for Efficient Power Generation in a Microgrid." Sustainability 15, no. 8 (2023): 6358. http://dx.doi.org/10.3390/su15086358.

Full text

Abstract:

Renewable energy sources (RESs) are a great source of power generation for microgrids with expeditious urbanization and increase in demand in the energy sector. One of the significant challenges in deploying RESs with microgrids is efficient energy management. Optimizing the power allocation among various available generation units to serve the load is the best way to achieve efficient energy management. This paper proposes a cost-effective multi-verse optimizer algorithm (CMVO) to solve this optimization problem. CMVO focuses on the optimal sharing of generated power in a microgrid between di

APA, Harvard, Vancouver, ISO, and other styles

22

Chmielowiec-Lewczuk, Magdalena. "Cost Strategies Possible To Implement In Insurance Company." Journal of WEI Business and Economics 8 (October 14, 2019): 91–97. http://dx.doi.org/10.36739/jweibe.2019.v8.i1.7.

Full text

Abstract:

The purpose of the present paper is to present various kinds of cost strategies implementable in the insurance company in changing market conditions. In order to attain the main goal such research methods as literature analysis, cause and effect analysis and deduction method have been used. The determinants of the latter-day insurance market having the greatest influence on the insurance company costs are: a new system of insurance supervision, functioning of financial groups, new type of insurance risks, new distribution channels, financial markets and new financial instruments and the rest (

APA, Harvard, Vancouver, ISO, and other styles

23

Aripriharta, Aripriharta, Rafli Amirul Husain, Sujito Sujito, et al. "Analysis of System Operation Optimization In Steam Power Plants with the Lagrange Method." Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) 11, no. 1 (2024): 29–37. http://dx.doi.org/10.33019/jurnalecotipe.v11i1.4479.

Full text

Abstract:

Steam Power Plant (PLTU) is a plant that relies on kinetic energy from hot steam to produce electrical energy. At the Paiton Power Plant, thermal energy is generated from burning a certain amount of coal. The use of coal-fired power plants still dominates most of the world's electricity supply. The optimal operation of electric power systems has grown in importance in recent years due to ever-increasing fuel costs. An electric power system basically consists of power generation units that aim to serve the needs of the load. Total production costs can be minimized by a combination of power load

APA, Harvard, Vancouver, ISO, and other styles

24

Ogryczak, Wlodzimierz, Hanan Luss, Michał Pióro, Dritan Nace, and Artur Tomaszewski. "Fair Optimization and Networks: A Survey." Journal of Applied Mathematics 2014 (2014): 1–25. http://dx.doi.org/10.1155/2014/612018.

Full text

Abstract:

Optimization models related to designing and operating complex systems are mainly focused on some efficiency metrics such as response time, queue length, throughput, and cost. However, in systems which serve many entities there is also a need for respecting fairness: each system entity ought to be provided with an adequate share of the system’s services. Still, due to system operations-dependant constraints, fair treatment of the entities does not directly imply that each of them is assigned equal amount of the services. That leads to concepts of fair optimization expressed by the equitable mo

APA, Harvard, Vancouver, ISO, and other styles

25

Miler, Daniel, Matija Hoić, Rudolf Tomić, Andrej Jokić, and Robert Mašović. "Simultaneous Multi-Objective and Topology Optimization: Effect of Mesh Refinement and Number of Iterations on Computational Cost." Computation 13, no. 7 (2025): 168. https://doi.org/10.3390/computation13070168.

Full text

Abstract:

In this study, a multi-objective optimization procedure with embedded topology optimization was presented. The procedure simultaneously optimizes the spatial arrangement and topology of bodies in a multi-body system. The multi-objective algorithm determines the locations of supports, joints, active loads, reactions, and load magnitudes, which serve as inputs for the topology optimization of each body. The multi-objective algorithm dynamically adjusts domain size, support locations, and load magnitudes during optimization. Due to repeated topology optimization calls within the genetic algorithm

APA, Harvard, Vancouver, ISO, and other styles

26

Bandyopadhyay, Parimalendu, and Joydeep Chowdhury. "A study on implementation of advanced module for business process management software to serve clients of several domain and help to implement cost optimization technique." South Asian Journal of Marketing & Management Research 13, no. 3 (2023): 1–9. http://dx.doi.org/10.5958/2249-877x.2023.00005.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Klingl, Stefan, Stefan Lecheler, and Michael Pfitzner. "Experimental, numerical and theoretical investigations of Tesla turbines." E3S Web of Conferences 113 (2019): 03003. http://dx.doi.org/10.1051/e3sconf/201911303003.

Full text

Abstract:

We use analytical, numerical and experimental methods to characterize the laminar flow inside a Tesla turbine rotor gap. A comparison based on one particular set of operating conditions mutually validates the three approaches. The simplicity of the analytical flow model allows for a cost efficient optimization of the underlying turbine parameters. Performance charts exhibit general trends and serve as a guide for preliminary turbine design and optimization. In terms of the ratio of half the gap width to inlet radius and the ratio of outletto inlet radius, the designer of a tesla turbine has to

APA, Harvard, Vancouver, ISO, and other styles

28

Tillmann, S., M. Behr, and S. Elgeti. "Using Bayesian optimization for warpage compensation in injection molding." Materialwissenschaft und Werkstofftechnik 55, no. 1 (2024): 13–20. http://dx.doi.org/10.1002/mawe.202300157.

Full text

Abstract:

AbstractIn injection molding, shrinkage and warpage lead to a deformation of the produced parts with respect to the cavity shape. One method to mitigate this effect is to adapt the cavity shape to the expected deformation. This deformation can be determined using appropriate simulation models, which then also serve as a basis for determining the optimal cavity shape. Shape optimization usually requires a sequence of forward simulations, which can be computationally expensive. To reduce this computational cost, we use Bayesian optimization which uses Gaussian process regression as a reduced ord

APA, Harvard, Vancouver, ISO, and other styles

29

Shokotko, Liudmyla, Anatolii Suprun, Tetiana Petrishyna, and Tetiana Pavlysh. "Cloud cost monitoring and forecasting: issues and challenges." Economics and technical engineering 2, no. 2 (2024): 58–75. https://doi.org/10.62911/ete.2024.02.02.05.

Full text

Abstract:

Cloud platforms are revolutionizing big data processing, but they also present significant challenges, particularly in cost management. As organizations move from on-premises solutions to cloud-based infrastructures, they often face unexpected costs due to the increasing volumes of structured, semi-structured, and unstructured data they collect and consume. Overcoming this challenge requires a thorough understanding of cost drivers, effective financial management practices, and strategic planning. This article examines the factors that influence the cost of cloud-based data processing and expl

APA, Harvard, Vancouver, ISO, and other styles

30

Dong, Chongwu, and Wushao Wen. "Joint Optimization for Task Offloading in Edge Computing: An Evolutionary Game Approach." Sensors 19, no. 3 (2019): 740. http://dx.doi.org/10.3390/s19030740.

Full text

Abstract:

The mobile edge computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in mobile terminals by offloading computation-intensive and delay-sensitive tasks to nearby edge nodes. However, limited computation resources in edge nodes may not be sufficient to serve excessive offloading tasks exceeding the computation capacities of edge nodes. Therefore, multiple edge clouds with a complementary central cloud coordinated to serve users is the efficient architecture to satisfy users’ Quality-of-Service (QoS) requirements while trying to minimize some network

APA, Harvard, Vancouver, ISO, and other styles

31

Ni Kadek Ratna Puspitasari and Ni Ketut Purnawati. "Optimization Of Online Motorcycle Taxi Driver Partner Registration Services At PT XYZ Bali Branch Office." International Journal of Management Research and Economics 3, no. 2 (2025): 145–56. https://doi.org/10.54066/ijmre-itb.v3i2.3157.

Full text

Abstract:

This study aims to determine the optimal queue system configuration for online motorcycle taxi driver partner registration services at the PT XYZ Bali Branch Office using a quantitative approach. Data on arrival time, service time, and operational costs were analyzed through queuing theory using the POM-QM software. The analysis results show that although phases 1, 2, and 4 meet efficiency criteria (utilization below 70%), reducing the number of servers in phases 1 and 2 can lower operational costs, as the queuing cost is lower than the service cost. Meanwhile, phase 3 shows a high utilization

APA, Harvard, Vancouver, ISO, and other styles

32

Prashantha, B. G., D. R. Swamy, Bhimasen Soragaon, and T. S. Nanjundeswaraswamy. "Design Optimization and Analysis of Thermoacoustic Refrigerators." International Journal of Air-Conditioning and Refrigeration 28, no. 03 (2020): 2050020. http://dx.doi.org/10.1142/s2010132520500200.

Full text

Abstract:

Thermoacoustic refrigeration, a novel technology, uses eco-friendly gases like helium, air or the mixture of noble gases as working substances in the absence of moving parts. The design, optimization and analysis of thermoacoustic refrigerators using helium and air as oscillating gases are discussed. Pure helium is chosen since it is proven as the best and economical working gas compared to the alternate pure or the mixture of noble gases. Air is chosen since it is abundant in nature and the least cost of the pressurized dry air cylinders. The design optimization strategies discussed in this p

APA, Harvard, Vancouver, ISO, and other styles

33

Sangeetha J, Keerthiraj Nagaraj, Ram Prakash Rustagi, and Balasubramanya Murthy K N. "Placement of Relay Stations in WiMAX Network Using Glowworm Swarm Optimization." International Journal of Applied Metaheuristic Computing 10, no. 3 (2019): 39–67. http://dx.doi.org/10.4018/ijamc.2019070103.

Full text

Abstract:

The Relay Station (RS) deployment problem for WiMAX networks is studied. Unlike Base Station (BS), RS does not need a wire-line backhaul and has much lower hardware complexity. Hence, usage of RSs can significantly minimize the deployment cost and maximize the network coverage of the system. To solve the RS deployment problem, the authors have used a nature inspired technique known as Glowworm Swarm Optimization (GSO). Different cases have been considered for a single fixed BS, to find the feasible number of RSs and its optimal placement in WiMAX networks. Computational experiments are conduct

APA, Harvard, Vancouver, ISO, and other styles

34

Léauté, Thomas, and Boi Faltings. "Distributed Constraint Optimization Under Stochastic Uncertainty." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 68–73. http://dx.doi.org/10.1609/aaai.v25i1.7812.

Full text

Abstract:

In many real-life optimization problems involving multiple agents, the rewards are not necessarily known exactly in advance, but rather depend on sources of exogenous uncertainty. For instance, delivery companies might have to coordinate to choose who should serve which foreseen customer, under uncertainty in the locations of the customers. The framework of Distributed Constraint Optimization under Stochastic Uncertainty was proposed to model such problems; in this paper, we generalize this formalism by introducing the concept of evaluation functions that model various optimization criteria. W

APA, Harvard, Vancouver, ISO, and other styles

35

N. Siddalingappa, Patil, Poornima Basavaraj, Preethi Basavaraj, and Premasudha B. Gowramma. "Route optimization via improved ant colony algorithm with graph network." International Journal of Reconfigurable and Embedded Systems (IJRES) 12, no. 3 (2023): 403. http://dx.doi.org/10.11591/ijres.v12.i3.pp403-413.

Full text

Abstract:

<p>Route optimization problem using vehicle routing problem (VRP) and time window constraint is explained as finding paths for a finite count of vehicles to provide service to a huge number of customers and hence, optimizing the path in a given duration of the time window. The vehicles in the loop have restricted intake of capacity. This path initiates from the depot, delivers the goods, and stops at the depot. Each customer is to serve exactly once. If the arrival of the vehicle is before the time window “opens” or when the time window “closes,” there will be waiting for cost and late c

APA, Harvard, Vancouver, ISO, and other styles

36

Patil, N. Siddalingappa, Basavaraj Poornima, Basavaraj Preethi, and B. Gowramma Premasudha. "Route optimization via improved ant colony algorithm with graph network." International Journal of Reconfigurable and Embedded Systems (IJRES) 12, no. 3 (2023): 403–13. https://doi.org/10.11591/ijres.v12.i3pp403-413.

Full text

Abstract:

Route optimization problem using vehicle routing problem (VRP) and time window constraint is explained as finding paths for a finite count of vehicles to provide service to a huge number of customers and hence, optimizing the path in a given duration of the time window. The vehicles in the loop have restricted intake of capacity. This path initiates from the depot, delivers the goods, and stops at the depot. Each customer is to serve exactly once. If the arrival of the vehicle is before the time window “opens” or when the time window “closes,” there will be waiting for

APA, Harvard, Vancouver, ISO, and other styles

37

Mikolaj, Ján, Ľuboš Remek, and Matúš Kozel. "Optimization of Bituminous Road Surfacing Rehabilitations Based on Optimization of Road Asset Value." Applied Sciences 12, no. 20 (2022): 10466. http://dx.doi.org/10.3390/app122010466.

Full text

Abstract:

The article presents a complex pavement management system method that utilizes a novel optimization method of rehabilitation plans for individual road sections based on asset value optimization. This method is being implemented and tested by the Slovak Road Administration. The performance-based asset value optimization objectives are Socio-Economic Value and Technical Value of Assets, which breaks down into the Value of Structural Condition and Operational Capacity Value. Life cycle cost analysis is used to find the optimal rehabilitation year of individual road sections to optimize the asset

APA, Harvard, Vancouver, ISO, and other styles

38

Rosyidi, Cucuk Nur, Annisa Puja Ramadandhyna, and Pringgo Widyo Laksono. "Multi-Objective Optimization Model for Home Health Care Routing and Scheduling with a Case Study." Jurnal Teknik Industri 25, no. 2 (2023): 131–40. http://dx.doi.org/10.9744/jti.25.2.131-140.

Full text

Abstract:

Home health care (HHC) is a health service provided by a hospital so that patients can be taken care of at their homes. Assigning multiple caregivers to serve patients during working hours is one of the main issues in HHC planning. In this study, multi-objective mixed-integer nonlinear programming was formulated for HHC daily planning. The model aims to simultaneously minimize total service time, total traveled distance, total cost comprising the opportunity loss from unvisited patients and penalty cost due to the violation of gender preference, and total carbon emissions generated by the care

APA, Harvard, Vancouver, ISO, and other styles

39

Lu, Jing, Yuan Qing He, and Gui Shu Xia. "A Optimized Model for Runway Takeoff Scheduling." Advanced Materials Research 779-780 (September 2013): 445–52. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.445.

Full text

Abstract:

Runway operations planning as the main runway operation tactical planning tool, its performance affects a variety of operational activites safety and efficiency of airport and terminal area. In order to reduce the take-off delay, this paper proposed a runway scheduling model based on multi-objective for airplane takeoff scheduling optimization. The experiment shows that compared with the algorithm of first come first serve, the new model has better runway throughout, less delay and less cost.

APA, Harvard, Vancouver, ISO, and other styles

40

Huang, Yulei. "Research on Urban Intelligent Medical Service System Design Based on Multiobjective Decision-Making Optimization Strategy." Mobile Information Systems 2022 (May 9, 2022): 1–13. http://dx.doi.org/10.1155/2022/7171296.

Full text

Abstract:

Aiming at the problems of difficult medical treatment for urban residents, low efficiency of hospitals, imbalance of medical resources and difficulty to meet the demands of patients, this paper proposes an urban intelligent medical service system based on multiobjective decision-making optimization strategy. Firstly, it analyzes the medical service demands of urban residents and points out that the urban intelligent medical service system should provide comprehensive services for residents; the main demands include basic medical demands, expected medical demands, and health care medical demand

APA, Harvard, Vancouver, ISO, and other styles

41

Sagir, S., Nil Acarali, and M. Z. Durak. "Characterization of Gels Containing Pectin and Optimization of Gel Production by Taguchi Method in Food Industry." Latin American Applied Research - An international journal 49, no. 3 (2019): 201–4. http://dx.doi.org/10.52292/j.laar.2019.98.

Full text

Abstract:

The objective of this research was to optimize the gel production by Taguchi Method as an optimization method and characterize gels by using attenuated total reflectance Fourier transform infrared (ATR – FTIR) and Raman spectroscopy. The statistical method results were obtained and analyzed comparatively in terms of improving both cost and quality for determination of optimum pro-cess parameters. This optimization method uses the S/N ratio as a measure of quality characteristics deviating from or nearing to the desired values. This method is expected to serve as an alternative to the conventio

APA, Harvard, Vancouver, ISO, and other styles

42

Wang, Kai, Lu Zhen, Jun Xia, Roberto Baldacci, and Shuaian Wang. "Routing Optimization with Generalized Consistency Requirements." Transportation Science 56, no. 1 (2022): 223–44. http://dx.doi.org/10.1287/trsc.2021.1072.

Full text

Abstract:

The consistent vehicle routing problem (ConVRP) aims to design synchronized routes on multiple days to serve a group of customers while minimizing the total travel cost. It stipulates that customers should be visited at roughly the same time (time consistency) by several familiar drivers (driver consistency). This paper generalizes the ConVRP for any level of driver consistency and additionally addresses route consistency, which means that each driver can traverse at most a certain proportion of different arcs of routes on planning days, which guarantees route familiarity. To solve this proble

APA, Harvard, Vancouver, ISO, and other styles

43

Euchi, Jalel, Salah Zidi, and Lamri Laouamer. "A new distributed optimization approach for home healthcare routing and scheduling problem." Decision Science Letters 10, no. 3 (2021): 217–30. http://dx.doi.org/10.5267/j.dsl.2021.4.003.

Full text

Abstract:

Home health care faces new challenges day by day and it has become increasingly legitimate in the face of an aging population. Home healthcare centers are exposed to cumulative demands and academics are paying attention to the routing and scheduling matter, which is offered in literature as a Technician Routing and Scheduling Problem (TRSP) where the aim is to minimize the total cost subject to the time windows constraints to serve the patients respecting their priorities. In this paper, we develop a new distributed algorithm to resolve the home health care routing and scheduling problem (HHRS

APA, Harvard, Vancouver, ISO, and other styles

44

Wang, Yongli, Yumeng Qin, Boxin Du, et al. "Operational optimization of an integrated electricity-thermal energy system considering demand response under a stepped carbon trading mechanism." Journal of Physics: Conference Series 2396, no. 1 (2022): 012056. http://dx.doi.org/10.1088/1742-6596/2396/1/012056.

Full text

Abstract:

Abstract To further explore the potential role of the normal demand-side in reducing carbon emission reduction, we propose an operation optimization model for integrated power-thermal plants that considers demand response under a tiered carbon trading mechanism. First, carbon emissions from the microgrid are reduced by introducing a tiered carbon trading mechanism in the planning model. Finally, an optimal model for low-carbon operation of the integrated power system is developed using the sum of power purchase cost, carbon trading cost, and operation and maintenance cost as objective function

APA, Harvard, Vancouver, ISO, and other styles

45

Fernandez, George S., Vijayakumar Krishnasamy, Selvakumar Kuppusamy, et al. "Optimal Dynamic Scheduling of Electric Vehicles in a Parking Lot Using Particle Swarm Optimization and Shuffled Frog Leaping Algorithm." Energies 13, no. 23 (2020): 6384. http://dx.doi.org/10.3390/en13236384.

Full text

Abstract:

In this paper, the optimal dynamic scheduling of electric vehicles (EVs) in a parking lot (PL) is proposed to minimize the charging cost. In static scheduling, the PL operator can make the optimal scheduling if the demand, arrival, and departure time of EVs are known well in advance. If not, a static charging scheme is not feasible. Therefore, dynamic charging is preferred. A dynamic scheduling scheme means the EVs may come and go at any time, i.e., EVs’ arrival is dynamic in nature. The EVs may come to the PL with prior appointments or not. Therefore, a PL operator requires a mechanism to cha

APA, Harvard, Vancouver, ISO, and other styles

46

Gnanapragasam, S. R., and W. B. Daundasekera. "Optimal Solution for the Integrated Model of the Problems in Capacitated Vehicle Routing and Vehicle Scheduling at the Multi-door Depot." OUSL Journal 18, no. 2 (2023): 87–106. http://dx.doi.org/10.4038/ouslj.v18i2.7622.

Full text

Abstract:

To have an efficient Supply Chain (SC), the coordination and integration of the activities in the SC are mandatory. Routing vehicles is an optimization problem in the SC. When the routed vehicles return to the depot and the doors at the depot are busy, the returned vehicles must wait to unload the accumulated shipments. Therefore, properly scheduling these vehicles to those doors at the depot to minimize the waiting time is an optimization problem in the SC. Therefore, in this study, routing vehicles to collect the shipments from suppliers and scheduling vehicles to doors at the depot, based o

APA, Harvard, Vancouver, ISO, and other styles

47

Akhand, M. A. H., Tanzima Sultatana, M. I. R. Shuvo, and Al-Mahmud Al-Mahmud. "Constructive and Clustering Methods to Solve Capacitated Vehicle Routing Problem." Oriental journal of computer science and technology 10, no. 3 (2017): 549–62. http://dx.doi.org/10.13005/ojcst/10.03.02.

Full text

Abstract:

Vehicle Routing Problem (VRP) is a real life constraint satisfaction problem to find minimal travel distances of vehicles to serve customers. Capacitated VRP (CVRP) is the simplest form of VRP considering vehicle capacity constraint. Constructive and clustering are the two popular approaches to solve CVRP. A constructive approach creates routes and attempts to minimize the cost at the same time. Clarke and Wright’s Savings algorithm is a popular constructive method based on savings heuristic. On the other hand, a clustering based method first assigns nodes into vehicle wise cluster and then ge

APA, Harvard, Vancouver, ISO, and other styles

48

Adebayo, Isaiah, Yanxia Sun, and Umar Awal. "Economic optimization of hybrid renewable energy resources for rural electrification." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1147. http://dx.doi.org/10.11591/ijpeds.v15.i2.pp1147-1157.

Full text

Abstract:

In rural areas, grid expansions and diesel generators are commonly used to provide electricity, but their high maintenance costs and CO2 emissions make renewable energy sources (RES) a more practical alternative. Traditional methods such as analytical, statistical, and numerical-based techniques are inadequate for designing an energy-efficient RES. Therefore, this study utilized the bat algorithm (BA) to optimize the use of hybrid RES for rural electrification. A feasibility study was conducted in the village of Kalema to assess energy consumption, and a diesel-only system was modeled to serve

APA, Harvard, Vancouver, ISO, and other styles

49

Adebayo, Isaiah, Yanxia Sun, and Umar Awal. "Economic optimization of hybrid renewable energy resources for rural electrification." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1147–57. https://doi.org/10.11591/ijpeds.v15.i2.pp1147-1157.

Full text

Abstract:

In rural areas, grid expansions and diesel generators are commonly used to provide electricity, but their high maintenance costs and CO2 emissions make renewable energy sources (RES) a more practical alternative. Traditional methods such as analytical, statistical, and numerical-based techniques are inadequate for designing an energy-efficient RES. Therefore, this study utilized the bat algorithm (BA) to optimize the use of hybrid RES for rural electrification. A feasibility study was conducted in the village of Kalema to assess energy consumption, and a diesel-only system was modeled to serve

APA, Harvard, Vancouver, ISO, and other styles

50

Logzit, N., E. Raouache, M. Bentoumi, A. Bentoumi, and I. Khababa. "Optimization by RSM of reinforced concrete domes with meridian ribs, under static loading." Selected Scientific Papers - Journal of Civil Engineering 20, no. 1 (2025): 1–20. https://doi.org/10.2478/sspjce-2025-0004.

Full text

Abstract:

Abstract Reinforced concrete domes with meridian ribs present a suitable solution for covering large spaces, but their optimization in terms of strength and stability remains a challenge not yet mastered. This work presents a new global mathematical approach to optimizing these structures, starting with a primary configuration braced at the top and bottom with ring beams. This configuration will undergo optimization via numerical simulation to ensure its mechanical performance. The main variables studied include dome diameter, rib spacing, thickness and supported load. A Response Surface Metho

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!