Academic literature on the topic 'Multi-objective Contiguous-Cells Transportation Model'
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Journal articles on the topic "Multi-objective Contiguous-Cells Transportation Model"
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Adewole, Mark Adegbola, David Adeyeye Ademola, Ekepre Charles-Owaba Oliver, and Sarah Okunade Oladunni. "Contiguous-cells transportation model for multi-objective non-pre-emptive production and maintenance scheduling." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 036–49. https://doi.org/10.5281/zenodo.4478434.
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The long-standing issue of non-pre-emption in ‘multi-period’ production/maintenance (P/M) scheduling has always been a challenge and this has been the focus of many researchers. Recently, the Contiguous-Cells Transportation Model (CCTM) was proposed to address this problem. However, the CCTM is limited to non-pre-emptive P/M scheduling decision situations where only one objective is of concern. The multiple objective non-pre-emptive P/M scheduling are encountered more frequently in the real world than the single objective case. This study proposed the Multi-Objective Contiguous-Cells Transportation Model (MOCCTM) and the solution procedure for handling multi-objective cases of non-pre-emptive production/maintenance scheduling. The variables and parameters of the CCTM were adopted with modifications to cater for the multi-objective requirements. A composite multiple-objective function was formulated by employing multi-objective optimisation techniques of assigning weights to objectives and normalisation of objectives. An algorithm similar to the conventional least cost method was developed for the solution of the MOCCTM. A bi-objective non-pre-emptive maintenance scheduling problem of 5 production machines across an operation and maintenance planning horizon of 10 periods was used to demonstrate the application of the MOCCTM. The MOCCTM is a good approach to solving multi-objective P/M scheduling problems in a non-pre-emptive environment.
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Adewole Mark Adegbola, Ademola David Adeyeye, Oliver Ekepre Charles-Owaba, and Oladunni Sarah Okunade. "Contiguous-cells transportation model for multi-objective non-pre-emptive production and maintenance scheduling." Global Journal of Engineering and Technology Advances 5, no. 3 (2020): 036–49. http://dx.doi.org/10.30574/gjeta.2020.5.3.0059.
Full textAbstract:
The long-standing issue of non-pre-emption in ‘multi-period’ production/maintenance (P/M) scheduling has always been a challenge and this has been the focus of many researchers. Recently, the Contiguous-Cells Transportation Model (CCTM) was proposed to address this problem. However, the CCTM is limited to non-pre-emptive P/M scheduling decision situations where only one objective is of concern. The multiple objective non-pre-emptive P/M scheduling are encountered more frequently in the real world than the single objective case. This study proposed the Multi-Objective Contiguous-Cells Transportation Model (MOCCTM) and the solution procedure for handling multi-objective cases of non-pre-emptive production/maintenance scheduling. The variables and parameters of the CCTM were adopted with modifications to cater for the multi-objective requirements. A composite multiple-objective function was formulated by employing multi-objective optimisation techniques of assigning weights to objectives and normalisation of objectives. An algorithm similar to the conventional least cost method was developed for the solution of the MOCCTM. A bi-objective non-pre-emptive maintenance scheduling problem of 5 production machines across an operation and maintenance planning horizon of 10 periods was used to demonstrate the application of the MOCCTM. The MOCCTM is a good approach to solving multi-objective P/M scheduling problems in a non-pre-emptive environment.
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Charles-Owaba, O. E., V. Oladokun, and O. Okunade. "Development of the Contiguous-cells Transportation Problem." Engineering, Technology & Applied Science Research 5, no. 4 (2015): 825–31. https://doi.org/10.5281/zenodo.28397.
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The issue of scheduling a long string of multi-period activities which have to be completed without interruption has always been an industrial challenge. The existing production/maintenance scheduling algorithms can only handle situations where activities can be split into two or more sets of activities carried out in non-contiguous sets of work periods. This study proposes a contiguous-periods production/maintenance scheduling approach using the Transportation Model. Relevant variables and parameters of contiguous-cells scheduling problem were taken from the literature. A scheduling optimization problem was defined and solved using a contiguous-cells transportation algorithm (CCTA) which was applied in order to determine the optimal maintenance schedule of a fleet of ships at a dockyard in South-Western Nigeria. Fifteen different problems were solved. It is concluded that the contiguous-cells transportation approach to production/ maintenance scheduling is feasible. The model will be a useful decision support tool for scheduling maintenance operations.
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Charles-Owaba, O. E., V. Oladokun, and O. Okunade. "Development of the Contiguous-cells Transportation Problem." Engineering, Technology & Applied Science Research 5, no. 4 (2015): 825–31. http://dx.doi.org/10.48084/etasr.546.
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The issue of scheduling a long string of multi-period activities which have to be completed without interruption has always been an industrial challenge. The existing production/maintenance scheduling algorithms can only handle situations where activities can be split into two or more sets of activities carried out in non-contiguous sets of work periods. This study proposes a contiguous-periods production/maintenance scheduling approach using the Transportation Model. Relevant variables and parameters of contiguous-cells scheduling problem were taken from the literature. A scheduling optimization problem was defined and solved using a contiguous-cells transportation algorithm (CCTA) which was applied in order to determine the optimal maintenance schedule of a fleet of ships at a dockyard in South-Western Nigeria. Fifteen different problems were solved. It is concluded that the contiguous-cells transportation approach to production/ maintenance scheduling is feasible. The model will be a useful decision support tool for scheduling maintenance operations.
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Kayani, Saheeb Ahmed, Salman Sagheer Warsi, and Raja Awais Liaqait. "A Smart Decision Support Framework for Sustainable and Resilient Supplier Selection and Order Allocation in the Pharmaceutical Industry." Sustainability 15, no. 7 (2023): 5962. http://dx.doi.org/10.3390/su15075962.
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Supplier selection and order allocation (SS-OA) are two of the most important strategic decisions for supply chain network design and operation. If sustainability and resilience criteria are taken into consideration together and a holistic sustainable and resilient SS-OA is carried out, it may enable the supply chain network to perform better when subjected to disruption scenarios. In this research paper, a novel comprehensive multi-phase, multi-period sustainable, and resilient SS-OA decision support framework has been proposed. This framework integrates fuzzy multi-criteria decision-making (MCDM) techniques with a fuzzy multi-objective mixed integer nonlinear programming (MOMINLP) mathematical model to optimize triple bottom line (TBL) sustainability and resilience criteria simultaneously for a multi-modal, multi-echelon supply chain network. The proposed framework has been implemented using real-time data collected from the pharmaceutical industry. The results show that among the TBL sustainability criteria, product price, past business, innovative capability, and information disclosure rank as the most significant sub-criteria for the DMs in the pharmaceutical industry, while robustness and flexibility are considered the most valued attributes for potential suppliers as far as the resilience criterion is concerned. An assessment of the results has revealed that transfer cost and custom clearance cost together comprise more than two-thirds of the overall cost of the supply chain network. It has also been noted that inland transportation of goods is dominated by rail as the most preferred mode of transport. Transportation by rail is particularly preferred by suppliers located in geographically contiguous countries.
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Song, Xiao Na, Shu Ai Sun, and Hai Chao Liu. "Research on Network Manufacturing Resources Optimization Deployment." Advanced Materials Research 542-543 (June 2012): 485–94. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.485.
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Networked manufacturing environment, making the task decomposition and exist out of line manufacturing cell optimization problem, propose a pre-matching rules and genetic algorithm combined with the resources optimal deployment method. In the process the task decomposition process layer by layer from the pre-match rules for task decomposition process and manufacturing units to form the pre-matching set of manufacturing unit, and when complete the task decomposition process generates the appropriate set of pre-matching manufacturing unit and then use genetic algorithm solution to processing costs, transportation costs, processing time and transportation time to build a multi-objective optimization model; to simplify the calculation, the multi-objective problem by the weight method into a single objective problem; calculated from the manufacturing unit eventually chooses the optimal set of manufacturing cells combination, making the process task global optimum processing route. Finally, exemplify the feasibility of the method.
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Liu, Qingming, Zhengkun Zhou, Jingyan Chen, Dan Zheng, and Hongbo Zou. "Optimization Operation Strategy for Comprehensive Energy System Considering Multi-Mode Hydrogen Transportation." Processes 12, no. 12 (2024): 2893. https://doi.org/10.3390/pr12122893.
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The transformation from a fossil fuel economy to a low-carbon economy has reshaped the way energy is transmitted. As most renewable energy is obtained in the form of electricity, using green electricity to produce hydrogen is considered a promising energy carrier. However, most studies have not considered the transportation mode of hydrogen. In order to encourage the utilization of renewable energy and hydrogen, this paper proposes a comprehensive energy system optimization operation strategy considering multi-mode hydrogen transport. Firstly, to address the shortcomings in the optimization operation of existing systems regarding hydrogen transport, modeling is conducted for multi-mode hydrogen transportation through hydrogen tube trailers and pipelines. This model reflects the impact of multi-mode hydrogen delivery channels on hydrogen utilization, which helps promote the consumption of new energy in electrolysis cells to meet application demands. Based on this, the constraints of electrolyzers, combined heat and power units, hydrogen fuel cells, and energy storage systems in integrated energy systems (IESs) are further considered. With the objective of minimizing the daily operational cost of the comprehensive energy system, an optimization model for the operation considering multi-mode hydrogen transport is constructed. Lastly, based on simulation examples, the impact of multi-mode hydrogen transportation on the operational cost of the system is analyzed in detail. The results indicate that the proposed optimization strategy can reduce the operational cost of the comprehensive energy system. Hydrogen tube trailers and pipelines will have a significant impact on operational costs. Properly allocating the quantity of hydrogen tube trailers and pipelines is beneficial for reducing the operational costs of the system. Reasonable arrangement of hydrogen transportation channels is conducive to further promoting the green and economic operation of the system.
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Mansor, Nur Sabrina, Rozieana Khairuddin, Zaitul Marlizawati Zainuddin Zainuddin, and Nozieana Khairuddin. "A Review on School Network Problem with Zone Dependent Fixed Cost and Inventory Cost." Pena Journal of Computer Science and Informatics 1, no. 1 (2025): 32–40. https://doi.org/10.37934/pjcsi.1.1.3240.
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When it comes to avoiding or contributing to a students’ decision to go to school, school distance can play a significant role. Long commutes to and from school can raise the opportunity costs of education and provide safety and security risks, particularly for female students. When compared to other types of location issues (e.g., facility location problem, location, and allocation problem), the school location model is one of the most important research efforts in the location analysis area. The location-allocation problem (LAP) has received a lot of attention in the facility location sector. The Weber issue is well-known for the LAP in continual plane. This article evaluated the problem by taking capacity limits and fixed costs into account, as every centre has a separate setup cost along with a capacity limit to service consumers. Previous research looked at lucrative places by splitting continuous space into a definite number of equal cells and then selecting the best site from a smaller range of potential spots. Inevitably, it can contribute to avoiding suitable places because unproductive regions are still considered when establishing facilities. As a result, transportation expenses might be significantly increased. In addition, alternative school network redesign methods and mathematical programming models do consider school consolidation, deletion, and addition. To optimize cost, the model should consider the development, closure, and amalgamation of a new school. The objective of this research is to develop a multi-start simulated annealing approach specifically tailored for the school network problem with zone-dependent fixed costs and inventory costs. In addition to addressing the allocation problem, this research also incorporates the consideration of zone-dependent fixed costs and inventory costs. Furthermore, inventory costs, incurred when schools are kept in specific zones, are accounted for to provide a comprehensive optimization solution. By developing a multi-start simulated annealing approach for the school network problem with zone-dependent fixed costs and inventory costs, this research aims to provide school administrators and policymakers with a valuable decision-making tool. The research also considered in the model to regulate the number of pupils that must be present in a school, allowing the model to mirror the real scenario more precisely. Finally, this research will be able to identify the best techniques for school network redesign issues.
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Öztürk, Bahadır, and Tuğba Saraç. "Optimizing logistics warehouse space utilization with minimum total transportation." Journal of Scientific Reports-A, no. 060 (March 25, 2025): 63–78. https://doi.org/10.59313/jsr-a.1447147.
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Logistics warehouses are integral to supply chain management, enabling the efficient storage and movement of goods. However, the dynamic operational nature of these facilities, characterized by high product turnover, often results in suboptimal space utilization. This study addresses the inefficiency caused by partially filled pallets and the honeycombing effect, which leads to substantial storage capacity loss. Focusing on a third-party logistics warehouse managing apparel boxes, the uniqueness of each box introduces specific challenges in space optimization. To mitigate these issues, two integer linear programming models were developed. The first model is utilized for emptying and reallocating products from the predetermined low-capacity shelf cells to new locations. The second model simultaneously identifies both the shelf cells to be vacated and the optimal relocation destinations. Both models aim to minimize the total transportation costs. The first model is suited for rapid reallocation and efficient short-term solutions, whereas the second model offers a more holistic approach to long-term space optimization. These models provide a systematic, data-driven solution for enhancing warehouse space management. The problem is also considered bi-objective, with the objectives of maximizing the number of empty shelf cells and minimizing the total transportation costs. The bi-objective mathematical model was scalarized using the epsilon-constraint method and solved for different epsilon values. This process yielded 39 Pareto-optimal solutions. The results indicate that as more cells are emptied, both the total cost and cost per cell increase. Considering the problem in a bi-objective form has also been advantageous for offering the decision-maker not just one solution but a solution set with different numbers of cells to be emptied and different transportation costs.
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Mazrouei Sebdani, Mohsen, Heather Baroody, and Erik Kjeang. "In-Situ Fatigue Lifetime Modeling of a Reinforced Membrane by Projecting Critical Accumulated Plastic Dissipation Energy from Pressure Differential-Accelerated Mechanical Stress Tests." ECS Meeting Abstracts MA2023-02, no. 39 (2023): 1922. http://dx.doi.org/10.1149/ma2023-02391922mtgabs.
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Polymer electrolyte fuel cells (PEFCs) have become increasingly appealing over internal combustion engines because of their high efficiency, low operating temperature, and zero CO2 emissions. Nevertheless, the transportation sector necessitates high durability and reliability, which may be difficult to predict for emerging technologies. A crucial aspect is the ability of the thin membranes that conduct ions in PEFCs to endure the chemical and mechanical stresses that arise during dynamic operations. For mechanical fatigue, temperature and relative humidity (RH) fluctuations induce dynamic stresses that lead to the formation and propagation of microcracks in the membrane. As the membrane is confined by other components in the membrane-electrode assembly (MEA), changes in temperature and humidity can generate thermal and swelling strains in the membrane, leading to dynamic and residual stresses [1]. The US Department of Energy sets a passing criterion of 20,000 RH cycles for mechanical fatigue assessment. However, many modern reinforced membranes have already passed this threshold without failing [2]. Therefore, Ref [3] introduced a pressure differential between the cathode and anode sides of the membrane at 80°C to speed up the testing. In this research, the pressure differential-accelerated mechanical stress test (ΔP-AMST) method was applied to a reinforced membrane at two different temperatures and with four times faster humidity cycles in a wider range of ΔPs. This objective is to project the mechanical fatigue lifetime from the ΔP-AMST to the membrane under its in-situ conditions by using the critical accumulated plastic dissipation energy (CAPDE) in ΔP-AMSTs and the plastic dissipation energy (PDE) during a single cycle of humidity that the membrane experiences under complete fuel cell settings. The first step involves performing a series of ∆P-AMST, and in the second step, a finite element model (FEM) for ∆P-AMST based on the developed constitutive model for the tensile tests that covers temperature, humidity, and swelling strain impacts is built, and therefore its S-N curve is extracted. Next, a FEM model for a complete fuel cell is created, and the mechanical fatigue life is estimated by dividing the CAPDE in ∆P-AMST by the PDE in one cycle of the in-situ modeled membrane by considering amplitude stress as a link between the full fuel cell model and ∆P-AMST, as illustrated in Figure 1 and verified by previous studies [4,5]. In the final step, we will also discuss opportunities to integrate the present mechanical fatigue model with a chemical degradation module to simulate its impacts on fatigue lifetime. This integration includes the two main effects of chemical degradation, which are reflected in the thickness of the reinforced membrane [6] and its updated CAPDE [7]. Acknowledgments The authors gratefully acknowledge AVL Fuel Cell Canada and Mitacs for supporting this project. The authors also thank Roger Penn and Amy Nelson for technical advice. References [1] Alavijeh AS, Bhattacharya S, Thomas O, Chuy C, Yang Y, Zhang H, et al. Effect of hygral swelling and shrinkage on mechanical durability of fuel cell membranes. J Power Sources 2019;427:207–14. [2] Rodgers MP, Bonville LJ, Mukundan R, Borup RL, Ahluwalia R, Beattie P, et al. Perfluorinated sulfonic acid membrane and membrane electrode assembly degradation correlating accelerated stress testing and lifetime testing. ECS Trans 2013;58:129. [3] Alavijeh AS, Bhattacharya S, Thomas O, Chuy C, Kjeang E. A rapid mechanical durability test for reinforced fuel cell membranes. J Power Sources Adv 2020;2:100010. [4] Chen J, Goshtasbi A, Soleymani AP, Ricketts M, Waldecker J, Xu C, et al. Effects of cycle duration and test hardware in relative humidity cycling of a polymer electrolyte membrane. J Power Sources 2020;476:228576. [5] Hasan M, Chen J, Waldecker JR, Santare MH. Predicting fatigue lifetimes of a reinforced membrane in polymer electrolyte membrane fuel cell using plastic energy. J Power Sources 2022;539:231597. [6] Liu H, Chen J, Hissel D, Hou M, Shao Z. A multi-scale hybrid degradation index for proton exchange membrane fuel cells. J Power Sources 2019;437:226916. [7] Sun X, Shi S, Fu Y, Chen J, Lin Q, Hu J, et al. Embrittlement induced fracture behavior and mechanisms of perfluorosulfonic-acid membranes after chemical degradation. J Power Sources 2020;453:227893. Figure 1
Book chapters on the topic "Multi-objective Contiguous-Cells Transportation Model"
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Celikbilek, Can, and Gürsel A. Süer. "Supply Chain Design Approaches for Dual Demand Management Strategies." In Advances in Logistics, Operations, and Management Science. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0021-6.ch009.
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Supply chain management involves efficiently integrating suppliers, manufacturers, warehouses, stores, and customers. To survive in a highly competitive business environment, manufacturing, resource planning and scheduling and distribution operations are the significant drivers that need to be optimized within supply chain management. In this chapter, we design the supply chain system considering dual demand management strategies simultaneously for the same company, both engineer-to-order (ETO) and make-to-order (MTO). This research has been inspired from the window manufacturer which manufactures and distributes vinyl windows to meet new construction and replacement/remodeling sector demand in the State of Ohio. The company manufacturers windows based on make-to-order strategy for new construction projects and at the same time builds replacement windows to individual customer specifications in very small quantities to be used for replacement in homes. In this study, a total of 174 individual customers and six big contractors are considered throughout the State of Ohio. This paper proposes to separate products based on demand management strategy and develop different supply chain networks for each group. The idea is to design bigger facilities for high volume (make-to-order products) as transportation cost per unit is reduced due to economies of scale whereas to place smaller and more facilities for low volume engineer-to-order products to be closer to the clients where it may not feasible to carry a only few products over long distances. All in all, this study provides nested models to integrate both design and operational aspects of supply chain system in the presence high-volume and low-volume of window products. Moreover, all location, design and manufacturing operations are performed by considering new mathematical models (mixed-integer and integer mathematical models) and heuristics in engineer-to-order demand management environment. Normally-distributed, probabilistic demand environment is considered in our design and operational phase of the study. Preliminary results show that, each design has its own strategic advantage and outcome and the ultimate objective has been accomplished in our design in this study. Briefly, four manufacturing facilities are established to meet the demand of replacement/remodeling sector and two manufacturing facilities are situated to meet the demand of new construction sector. The results revealed that, 29 layered-cells and a total of 200 machines are opened and utilized for replacement/remodeling sector. Additionally, 15 layered-cells and a total of 104 machines are needed to cover the entire demand of new construction sector. Also for the new construction sector, three distribution centers are needed to facilitate the products over the region. In terms of daily cell loading and scheduling phase, the results are almost doubled in replacement/remodeling sector demand compared to new construction sector demand volume due to having more cells and machines in the new construction design strategy. The supply chain work involves location and number of manufacturing facilities, number and location of distribution centers, detailed design of manufacturing systems and performing scheduling to confirm the validity of the manufacturing system design.
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Celikbilek, Can, and Gürsel A. Süer. "Supply Chain Design Approaches for Dual Demand Management Strategies." In Supply Chain and Logistics Management. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0945-6.ch024.
Full textAbstract:
Supply chain management involves efficiently integrating suppliers, manufacturers, warehouses, stores, and customers. To survive in a highly competitive business environment, manufacturing, resource planning and scheduling and distribution operations are the significant drivers that need to be optimized within supply chain management. In this chapter, we design the supply chain system considering dual demand management strategies simultaneously for the same company, both engineer-to-order (ETO) and make-to-order (MTO). This research has been inspired from the window manufacturer which manufactures and distributes vinyl windows to meet new construction and replacement/remodeling sector demand in the State of Ohio. The company manufacturers windows based on make-to-order strategy for new construction projects and at the same time builds replacement windows to individual customer specifications in very small quantities to be used for replacement in homes. In this study, a total of 174 individual customers and six big contractors are considered throughout the State of Ohio. This paper proposes to separate products based on demand management strategy and develop different supply chain networks for each group. The idea is to design bigger facilities for high volume (make-to-order products) as transportation cost per unit is reduced due to economies of scale whereas to place smaller and more facilities for low volume engineer-to-order products to be closer to the clients where it may not feasible to carry a only few products over long distances. All in all, this study provides nested models to integrate both design and operational aspects of supply chain system in the presence high-volume and low-volume of window products. Moreover, all location, design and manufacturing operations are performed by considering new mathematical models (mixed-integer and integer mathematical models) and heuristics in engineer-to-order demand management environment. Normally-distributed, probabilistic demand environment is considered in our design and operational phase of the study. Preliminary results show that, each design has its own strategic advantage and outcome and the ultimate objective has been accomplished in our design in this study. Briefly, four manufacturing facilities are established to meet the demand of replacement/remodeling sector and two manufacturing facilities are situated to meet the demand of new construction sector. The results revealed that, 29 layered-cells and a total of 200 machines are opened and utilized for replacement/remodeling sector. Additionally, 15 layered-cells and a total of 104 machines are needed to cover the entire demand of new construction sector. Also for the new construction sector, three distribution centers are needed to facilitate the products over the region. In terms of daily cell loading and scheduling phase, the results are almost doubled in replacement/remodeling sector demand compared to new construction sector demand volume due to having more cells and machines in the new construction design strategy. The supply chain work involves location and number of manufacturing facilities, number and location of distribution centers, detailed design of manufacturing systems and performing scheduling to confirm the validity of the manufacturing system design.
Conference papers on the topic "Multi-objective Contiguous-Cells Transportation Model"
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Chen, Hao, Valentina Zaccaria, and Konstantinos Kyprianidis. "Surrogate-Based Optimization of a Proton-Exchange Membrane Fuel Cell for Hybrid Propulsion." In ASME 2024 Power Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/power2024-137636.
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Abstract The use of hydrogen in transportation is considered a promising solution to reduce CO2 emissions and combat climate change. Among the various technologies, PEM fuel cells represent a consolidated choice for hydrogen propulsion given their lightweight and relatively low cost. However, despite a few cases of successful applications of PEM fuel cells in road and rail transport, there are still barriers hindering the full exploitation of this technology, especially in the aerospace sector. Research is needed to assess the long-term viability, and modeling tools are of utmost importance for this task. The highly complex architectures necessary for hybrid propulsion require new methods for design and optimization, for which accurate but computationally fast models are critical. This paper presents a new methodology of using surrogate-based optimization to assist the design of the power system for a regional electric aircraft. A multi-objective optimization framework has been developed considering the weight, and efficiency of the power system, as well as the operating current density of the fuel cell stack. A surrogate model based on Gaussian Process regression and Singular Value Decomposition is employed to reduce the computational cost. The results show that the surrogate-based optimization approach could accelerate the optimization process without significantly affecting the prediction accuracy. This approach could be used to guide the design of experiments/high-fidelity simulations for the optimal design and energy management of power systems for electric aircraft.
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Huang, Xing, Ke Song, Lixin Huang, Yuqiang Feng, and Zhaowei Wang. "Performance Analysis of Fuel Cells for High Altitude Long Flight Multi-rotor Drones." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2177.
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<div class="section abstract"><div class="htmlview paragraph">In recent years, the burgeoning applications of hydrogen fuel cells have ignited a growing trend in their integration within the transportation sector, with a particular focus on their potential use in multi-rotor drones. The heightened mass-based energy density of fuel cells positions them as promising alternatives to current lithium battery-powered drones, especially as the demand for extended flight durations increases. This article undertakes a comprehensive exploration, comparing the performance of lithium batteries against air-cooled fuel cells, specifically within the context of multi-rotor drones with a 3.5kW power requirement.</div><div class="htmlview paragraph">The study reveals that, for the specified power demand, air-cooled fuel cells outperform lithium batteries, establishing them as a more efficient solution. Recognizing the nuanced influence of altitude on the external environment, the research introduces models, including a power demand model and a thermal balance model, to systematically analyze altitude's impact on critical parameters such as fuel cell stack output, thermal management, and endurance range.</div><div class="htmlview paragraph">Furthermore, sensitivity analysis delves into the multifaceted effects of variables such as frame mass, payload, and temperature on the study's outcomes. This approach not only enriches our understanding but also provides theoretical guidance for optimizing multi-rotor drones across diverse environmental conditions. As drones emerge as potential game-changers in roles such as regional safety inspections and short-distance rapid transportation between cities, this research offers valuable insights aimed at enhancing the real-world performance and efficiency of hydrogen fuel cell-powered multi-rotor drones. The implications of this study extend beyond theoretical exploration, laying a foundation for future advancements in drone technology, especially in applications where endurance, payload capacity, and adaptability to varied environments are paramount.</div></div>
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Liu, Yaling, Kytai Nguyen, Manohara Mariyappa, Samar Shah, and Jifu Tan. "Modeling Targeted Drug Delivery in a Vascular Network." In ASME 2010 First Global Congress on NanoEngineering for Medicine and Biology. ASMEDC, 2010. http://dx.doi.org/10.1115/nemb2010-13075.
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Nanomedicine dosages are selected in part based on the competing goals of maximizing death of malignant cells while minimizing damage to healthy cells. Determination of proper nanomedicine dosage and concentration is difficult to due the lack of understanding of nanoparticle targeted delivery process in complex vascular environment. This paper presents a continuum model of the transportation and targeted deposition of nanoparticles in a vascular network, which is an essential component of a multi-scale targeted delivery predictive tool being developed.
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Chehade, Abdallah A., and Ala A. Hussein. "A Multi-Output Convolved Gaussian Process Model for Capacity Estimation of Electric Vehicle Li-ion Battery Cells." In 2019 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2019. http://dx.doi.org/10.1109/itec.2019.8790463.
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Massonnat, Pierre, Fei Gao, Damien Paire, David Bouquain, and Abdellatif Miraoui. "A multi physical model for PEM fuel cells including a two dimensional fluidic finite element analysis in real time." In 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2014. http://dx.doi.org/10.1109/itec.2014.6861866.
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Karamchetty, Somayajulu D. "Hierarchical Engineering Model of the Human Body." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66253.
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Engineers and scientists are able to understand and analyze the behavior of complex engineering systems in a wide range of critical technologies through hierarchical modeling followed by simulation of the model operation. This process results in a high fidelity integrated model as each level in the hierarchy is modeled in sufficient detail. The overall objective of this effort is to develop a sophisticated hierarchical model of the human body, followed by simulation of the model operation. In this initial research phase, the feasibility of the concept is explored and a framework for the model is described. A six-level model consisting of the whole body as a system, system of systems, organs, tissues, cells, and molecules is proposed and described. This paper explains that the human body is amenable to such hierarchical modeling and describes the benefits that can be achieved. The systems in the body deal with numerous processes: electrical, chemical, biochemical, energy conversion, transportation, pumping, sensing, communications, and so on. Control volume models for the organs in the body capture the mass and energy balance and chemical reactions. Tissue can be represented similar to structural components made of various biomaterials. Cells can be represented as a manufacturing and maintenance workforce assisted by molecular reactions. Following the representation of a healthy body, simulation runs by inserting faults and/or deficiencies in the operational parameters into the model could reveal the causes for specific diseases and illnesses. Such modeling and simulation will benefit medical, pharmaceutical, nutritional specialists, and engineers in designing, developing, and delivering products and services to enable humans to lead healthy lives.
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Tang, Yaliang, Michael H. Santare, Anette M. Karlsson, Simon Cleghorn, and William B. Johnson. "Stresses in Proton Exchange Membranes Due to Hydration-Dehydration Cycles." In ASME 2005 3rd International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2005. http://dx.doi.org/10.1115/fuelcell2005-74078.
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Durability of the proton exchange membranes (PEM) is a major technical barrier to the economic viability of stationary and transportation applications of PEM fuel cells. In order to reach Department of Energy objectives for automotive PEM fuel cells, a design lifetime of 5,000 hours over a wide temperature range is required. Reaching these lifetimes is an extremely challenging technical problem. Though good progress has been made in recent years, there are still issues that need to be addressed to assure successful, economically viable, long-term operation of PEM fuel cells. The lifetime is limited due to gradual degradation of both the electro-chemical and hygro-thermo-mechanical properties of the membranes. Eventually the system fails due to a critical reduction of the voltage or mechanical damage. However, the hygro-thermo-mechanical loading of the membranes and how this effects the lifetime of the fuel cell is not understood. The long-term objective of the research is to establish a fundamental understanding of the mechanical processes in degradation and how they influence the lifetime of PEMs. In this paper, we discuss the finite element models developed to investigate the in-situ stresses in polymer membranes.
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Ma, H. K., and S. H. Huang. "Simulation of Water Vapor Transport Phenomena in Proton Exchange Membrane Fuel Cells (PEMFCs)." In ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2006. http://dx.doi.org/10.1115/fuelcell2006-97022.
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The objective of this paper is to study the influences of water vapor concentration in membrane and flow channels under the different operation conditions. The studied flow channels by CFDRC code include serpentine and interdigitated flow channels which have different gas transportation mechanisms. At the same time, the computer code, based upon Okada’s one dimensional model, was built to predict the influences of the electro-osmosis effect, the foreign impurity cations and the water balance time on water concentration in the membrane by Fortran 90. Both of interdigitated and serpentine flow fields show that water vapor accumulates near the cathode outlet of the membrane. And, the serpentine flow field accumulates more water vapor than interdigitated flow field does. As the inlet water mass fraction below 10%, the drying out problem may happen to reduce current density. In addition, the foreign impurity cations may induce the stronger electro-osmosis effect and reduce the effect of water back diffusion; hence, cause the accumulating of water in the cathode. It needs more water balance time and decreases the membrane performance.
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Gosavi, Hrishikesh, and Vijaya V. N. Sriram Malladi. "Data-Driven Estimation of Bandgap Frequencies in Metastructures for Elastic Wave Absorption." In ASME 2023 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/smasis2023-112598.
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Abstract This study investigates the elastic wave absorption behavior of metastructures in the bandgap frequency region. The bandgap region is estimated using data-driven methods based on the Frequency Response Function (FRF) of the unit cell of the metastructure. To achieve this, the unit cell is discretized using 1-D finite bar elements, and the numerical FRFs are calculated to dynamically link multiple unit cells using Component Mode Synthesis (CMS). The location of the bandgap is determined through the FRF of the multi-unit cell structure, which is referred to as Dynamically Linked Element Grade Oscillators (D-LEGOs) due to the dynamic coupling between unit cells. The study also estimates the dispersion relation of the structure from the mode shapes of the finite structure. This approach is validated through the estimation of the bandgap from dispersion relations calculated using the traditional Finite Element Method. This comprehensive and validated method provides a way to estimate the edge frequencies of the bandgap in metastructures. The findings of this study contribute to the development of new metastructure designs that can inhibit elastic wave propagation in specific frequency ranges. Such designs have potential applications in various industries, including aerospace, defense, and transportation. In conclusion, this study highlights the importance of understanding the dynamic behavior of metastructures in modern engineering and their impact on various industries.
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Corda, Giuseppe, Antonio Cucurachi, Martino Diana, Stefano Fontanesi, and Alessandro D'Adamo. "A Methodology to Design the Flow Field of PEM Fuel Cells." In WCX SAE World Congress Experience. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0495.
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<div class="section abstract"><div class="htmlview paragraph">Proton Exchange Fuel Cells (PEMFCs) are considered one of the most prominent technologies to decarbonize the transportation sector, with emphasis on long-haul/long-range trucks, off-highway, maritime and railway. The flow field of reactants is dictated by the layout of machined channels in the bipolar plates, and several established designs (e.g., parallel channels, single/multi-pass serpentine) coexist both in research and industry. In this context, the flow behavior at cathode embodies multiple complexities, namely an accurate control of the inlet/outlet humidity for optimal membrane hydration, pressure losses, water removal at high current density, and the limitation of laminar regime. However, a robust methodology is missing to compare and quantify such aspects among the candidate designs, resulting in a variety of configurations in use with no justification of the specific choice. This contrasts with the large operational differences, especially regarding the pressure loss/stoichiometric factor trade-off and in the outlet humidity level.</div><div class="htmlview paragraph">In this paper a simple thermodynamic model (0D) is presented to evaluate pressure losses, stoichiometric factors, channel length, and humidity level for typical flow fields. Based on distributed and concentrated pressure losses and on a water balance between the humidified air, the electrochemically produced water, and the electro-osmotic water flux, the model indicates the optimal flow field for a given active area. The methodology is validated using 3D-CFD models, assessing the predictive capability of the simplified 0D model, and it is applied to small/medium/large active area cases. The presented method introduces a model-based guideline for the design of PEMFCs flow fields, providing design indications to optimize the humid flow dynamics. The study shows the impact of flow field design on fuel cell operating conditions, providing guidelines for fuel cell engineering. In the limits of laminar flows, the parallel channel design demonstrated the lowest pressure drop (∆<i>p</i> ≃ 1 × 10<sup>2</sup> − 10<sup>3</sup> <i>Pa</i>, more than one order of magnitude lower than other designs) and the best capability of saturated outlet flows (i.e., ideal membrane hydration) for current densities in the range 0.5 − 2.0 <i>A</i>/<i>cm</i><sup>2</sup>, hence outperforming any other serpentine-type designs for medium-to-large active areas and with the focus on high current density operation.</div></div>