Matching Demand Research Articles

Acceleration and deceleration demands of different soccer training drills and competitive matches

AbstractThis study compared acceleration and deceleration demands between different training drills (compensation, rondos, small-sided games, technical) and matches, and between playing positions. Nineteen professional players were monitored during four microcycles. Efforts intensities were classified as low (25–50%), moderate (50–75%), and high (> 75%); starting speed was assessed in bandwidths (< 5 km h−1, 5–10 km h−1, 10–15 km h−1, 15–20 km h−1, 20–25 km h−1, and > 25 km h−1). Paired mean differences compared activities, and independent groups contrasts compared playing positions, with 90% confidence intervals. Match elicited more high-intensity accelerations than technical drills (effect size [ES]: 1.75 [1.40, 2.28]), rondos (ES: 1.47 [0.92, 2.17]), compensation drills (ES: 1.28 [0.66, 2.09]), and small-sided games (ES: 0.64 [0.11, 1.25]), and more high-intensity decelerations than technical drills (ES: 0.74 [0.24, 1.32]) and rondos (ES: 0.53 [0.04, 1.06]). Compensation drills elicited more decelerations starting > 25 km h−1 than small-sided games (ES: 2.90 [2.18, 3.98]), technical drills (ES: 2.88 [2.11, 4.02]), and matches (ES: 2.06 [1.35, 3.08]). Fullbacks performed more high-intensity accelerations than central midfielders during small-sided games (ES: 0.10 [0.01, 0.20]), wide midfielders performed more high-intensity accelerations than central defenders during technical drills (ES: 0.05 [0.02, 0.08]), and wide midfielders performed more decelerations starting > 25 km h−1 than central defenders (ES: 0.10 [0.01, 0.20]) and central midfielders (ES: 0.12 [0.04, 0.20]) during matches. Match imposed higher demands to players than any drill, and merging compensation drills with small-sided games can be a good strategy to compensate competition acceleration and deceleration demands. Rondos drills should be carefully used due to the high deceleration demands.

Exploring the supply-demand match and drivers of blue-green spaces cooling in Wuhan Metropolis

This study explores the spatial evolution and driving factors of cooling supply and demand matching in blue-green spaces (BGSs) to alleviate urban heat island effects. Using Wuhan Metropolis as a case study, the cooling supply index (CSI) and cooling demand index (CDI) were utilized to assess the BGSs' cooling supply capacity and demand levels in 2014, 2018 and 2022. The relationship between them was then examined applying spatial gradient analysis and constraint effect analysis. Subsequently, the coupled coordination degree (CCD) of cooling supply-demand and its built environment-driven explanatory power was investigated. Ultimately, areas with supply-demand mismatches were identified, and tailored cooling strategies were devised to rectify these discrepancies. The results indicated that: (1) Wuhan Metropolis experienced a decline in BGSs' cooling supply capacity and an increase in cooling demand level between 2014 and 2022. (2) There is a significant correlation between the cooling supply capacity and demand level of BGSs in Wuhan Metropolis, with a spatial gradient effect and a constraint effect (CSI values = 0–0.2). (3) The CCD of cooling supply-demand in Wuhan Metropolis decreased from 2014 to 2022, with building density being the dominant built environment factors (q-value = 0.83–0.86). (4) The number of mismatched cooling supply-demand units significantly increased in Wuhan Metropolis from 2014 to 2022, indicating an imperative need to alleviate urban high temperatures. To address this issue, the study proposes a mismatch mechanism-based regulatory strategy aimed at mitigating the heat from residential, transportation, and industrial areas.

How Do Technical and Tactical Demands of Football Matches Affect the Physical Performance of Elite Football Referees? Exploring the Role of Experience.

Martinez-Torremocha, G, Alonso-Callejo, A, Garcia-Unanue, J, Gallardo, L, Sanchez-Sanchez, J, and Felipe, JL. How do technical and tactical demands of football matches impact the physical performance of elite football referees? Exploring the role of experience. J Strength Cond Res 38(11): e664-e669, 2024-This study aimed to analyze whether the physical demands on elite football referees during matches are influenced by both the physical intensity of the game and the technical-tactical context, to assess the impact of elite experience on the physical demands of referees, and to compare the physical performance of the referees with the performance of the players divided by positions in each match analyzed. Physical demands were recorded on 20 Spanish male football referees during the 2020/21, 2021/22, and 2022/23 seasons over a total of 73 official matches, using Global Positioning Systems for physical demands (total distance [TD], high-speed running [HSR], sprint, and high-intensity acceleration [HI ACC] and deceleration) and WyScout for technical-tactical actions (ball circulation, possession, shot, passes, total turnovers, quick turnovers, and long passes). Referees showed lower values for all variables except in TD (p < 0.05). No significant differences (p > 0.05) were found in referees' physical demands based on experience. Low-experience referees correlated HSR and sprint distances with high-intensity decelerations distances in matches. Medium-experience referees linked HSR, sprinting, and HI ACC distances with greater sprint distances in matches. High-experience referees correlated HSR distance with HSR, sprint, and HI ACC distances match demands. Low-experience referees positively correlated HSR and sprint distances with ball circulation, passes, quick turnovers, and forward passes. In conclusion, referees' experience influenced the adaptation of their physical demands to the technical-tactical and physical factors of competitive matches. This information will help professionals working with referees to develop training programs that better prepare referees for specific challenges.

Play as practice? Comparative analysis of preparation period and match adjustments in a basketball team's performance.

In basketball, successful performance relies on the optimal use of top-down strategic guidance by coaches and bottom-up adjustments by players, requiring a preparation plan consistent with match demands. The aim of this study was to analyze the strategic-tactical tendencies between a basketball team's preparation and match performance phases for a U16 men's national team during a continental tournament. The team was composed by 12 players (aged 16 ± 0.4) with at least three years of participation in basketball competitions. Data from team strategy (the playbook), team practices, and match performance were integrated through a common set of variables in a decision support framework, the Team Learning Cycle (TLC). The influence of situational variables with respect to preparation and match performance consistency and efficiency was also investigated. The preparation phase significantly emphasized small-sided games focused on group-tactics-based attacks, combining offense and defense, usually in the set offense. During the matches, the set offense was also significantly prioritized. The frequency of group-tactics-based attacks increased relative to team plays from the group phase to the elimination phase (p < 0.05). Efficiency generally improved during close matches, suggesting successful team strategy learning and tactical autonomy from preparation to matches. Using consistency and efficiency together provided for an effective evaluation of a team's preparation-performance relationship. This evidence underscores the importance of sensitive monitoring methods for establishing accurate associations between preparation and performance. Coaches can use this systematic procedure to critically examine their use of preparation time relative to match performance. Additionally, basketball managers may find that TLC-related evidence supports evaluating coaches' multi-dimensional skills from a broader perspective than simply winning rates, offering a more objective and comprehensive assessment of coaching effectiveness.

Sensitive Hydraulic and Stomatal Decline in Extreme Drought Tolerant Species of California Ceanothus.

Identifying the physiological mechanisms by which plants are adapted to drought is critical to predict species responses to climate change. We measured the responses of leaf hydraulic and stomatal conductances (Kleaf and gs, respectively) to dehydration, and their association with anatomy, in seven species of California Ceanothus grown in a common garden, including some of the most drought-tolerant species in the semi-arid flora. We tested for matching of maximum hydraulic supply and demand and quantified the role of decline of Kleaf in driving stomatal closure. Across Ceanothus species, maximum Kleaf and gs were negatively correlated, and both Kleaf and gs showed steep declines with decreasing leaf water potential (i.e., a high sensitivity to dehydration). The leaf water potential at 50% decline in gs was linked with a low ratio of maximum hydraulic supply to demand (i.e., maximum Kleaf:gs). This sensitivity of gs, combined with low minimum epidermal conductance and water storage, could contribute to prolonged leaf survival under drought. The specialized anatomy of subg. Cerastes includes trichomous stomatal crypts and pronounced hypodermis, and was associated with higher water use efficiency and water storage. Combining our data with comparative literature of other California species, species of subg. Cerastes show traits associated with greater drought tolerance and reliance on leaf water storage relative to other California species. In addition to drought resistance mechanisms such as mechanical protection and resistance to embolism, drought avoidance mechanisms such as sensitive stomatal closure could contribute importantly to drought tolerance in dry-climate adapted species.

No Post-Activation Performance Enhancement Following a Single Set of Plyometric or Flywheel Exercises in National Team Rugby Players

Post-activation performance enhancement (PAPE) is a key objective following regular warm-up routines, especially in sports that rely heavily on sprinting speed and power. Rugby is a team sport characterized by a range of repeated high-intensity efforts, irrespective of positional roles or match demands. In this study, we examined and compared the effects of two different conditioning activities (CAs) on the power- and speed-related abilities of National Team rugby players. Thirteen male rugby union players sequentially performed countermovement jump (CMJ), 30 m sprint, and change-of-direction (COD) tests (pre-testing session) 5 min before executing either one set of six repetitions of 45 cm drop jumps or one set of six repetitions of flywheel eccentric-overload squats. In addition to the sport-specific tests, the muscle mechanical properties of the athletes were also assessed through the use of tensiomyography (TMG). At post-testing sessions conducted 5 and 10 min after the PAPE protocols, no significant changes were observed in any of the assessed variables, either in positions as backs or forwards. However, some meaningful variations were detected at the individual level when using the “true-changes” analysis. Despite some positive individual changes, it can be concluded that these specific protocols did not elicit the expected responses typically observed in other team-sport athletes. Practitioners are encouraged to implement more comprehensive (but not exhaustive) and tailored PAPE interventions prior to training sessions and competitions.

Design of photovoltaic and battery energy storage systems through load demand characterization: A case study in Thailand

The integration of photovoltaic (PV) system at behind the meter has gained popularity due to the growing trend toward environmentally friendly energy solutions. Coupling PV systems with battery energy storage systems (BESS) addresses the uncertainties of PV energy production while enhancing energy management. Load characteristics have influence on PV and BESS design both in technical and economic aspects. This paper presents a comprehensive analysis of load demand characterization methodologies tailored for the design of PV and BESS. The fundamental load properties such as daily maximum power, minimum power, and load energy, categorizing loads based on their daily and annual variation degrees are investigated. The techno-economic performance of PV-only and PV+BESS systems is analyzed, focusing on metrics such as excess energy, peak limiting performance, and economic feasibility using the levelized cost of energy (LCOE). The findings of this study reveal three distinct load characteristics based on daily variation: moderate (50–70 %), moderate to high (70–80 %), and high (80–90 %). Load profiles with moderate variation (50–70 %) demonstrate economic feasibility when sized with a PV-only system matching maximum power demand. With BESS prices reduced to less than 140 USD/kWh, these loads could also integrate a 1C-BESS sized at half capacity under the same control strategy, resulting in lower excess energy and LCOE. Conversely, loads with higher variation (>70 %) and lower self-consumption rates (<70 %) face fewer viable options for both PV-only and PV+BESS configurations, especially if BESS costs remain high. These loads require custom-designed solutions and more extensive load analysis. Through analysis, this study establishes the relationship between load characteristics and system design suitability for the loads studied. The findings underscore the importance of incorporating load demand characterization techniques in the design systems, highlighting the need for tailored approaches based on specific load characteristics and economic viability.

PENERAPAN TEKNOLOGI INDUSTRI 4.0 DALAM LEAN WAREHOUSING: LITERATURE REVIEW

Warehouse plays a crucial role in the supply chain by linking material flows between suppliers and customers, and also matching demand with product availability. Operational disruptions in warehouse can lead to decreased customer satisfaction, necessitating effective and efficient warehouse operations. Lean principles, including lean warehousing, are often used to achieve this. Additionally, increasing supply chain complexity makes companies vulnerable to costly errors, leading to broader adoption of industry 4.0 technologies. Various studies have begun integrating industry 4.0 technologies into lean warehousing practices. However, literature reviews on integrating industry 4.0 with lean principles tend to focus on manufacturing area. This study aims to review researches on the application of industry 4.0 technologies in lean warehousing through a literature review. The findings of the literature review indicate that autonomous robots, simulation, horizontal and vertical system integration, and the industrial internet of things are industry 4.0 pillars that are widely applied alongside lean warehousing methodologies and tools. Most studies analyze overall warehouse processes, while others focus on specific processes within the warehouse. Overall, the use of industry 4.0 technologies in lean warehousing leads to significant positive impacts, including increased efficiency and productivity. Further studies are needed to understand how lean warehousing can serve as a foundation for implementing industry 4.0 technologies and to address the issues and challenges in their concurrent application.

Construction of a new emergency management system for potentially viral/viral municipal solid waste in China: Based on the "Beam-Column Structure" framework model

Emergency management of municipal solid waste during public health emergencies is crucial for curbing the spread of viruses and controlling environmental pollution. Most existing solid waste management systems, are designed with a top-down approach, covering multiple industries and sectors. However, these systems often fail to effectively manage potentially viral solid waste in household waste, which impedes effective solid waste management during public health emergencies and increases the risk of viral outbreaks. For example, during the COVID-19 outbreak, negligent management of potentially viral solid waste may result in the formation of a potential transmission chain of COVID-19 virus. Improper waste management may contaminate natural vectors such as water, soil and air, thereby increasing the pathways of human contact with infected vectors and promoting the risk of transmission of viral diseases such as dengue, Zika and hepatitis A. In this study, the applicability and limitations of the Chinese public emergency management system in the disposal of Potentially Viral/Viral Municipal Solid Waste (PVMSW) were analyzed in the breakout of public health crises. To address the need for precise risk control, efficient collaboration among key stakeholders, functional integration crossing multiple management organizations and flexible responses to complex situations, we proposed a PVMSW emergency management system based on a “Beam-Column Structure” model. This system consists of four modules: main traction, organizational leadership, functional articulation and demand matching. Each module is supported by the corresponding safeguards, including multi-level subject responsibilities, multi-scenario organization and implementation, multi-chain process connection and multi-demand control methods. The PVMSW emergency management system proposed in this study contributes to extending the framework of existing waste management protocols and enhancing the timely collection, transportation and disposal of PVMSW in public health crises. It offers valuable insights and guidance on the practices for improving risk awareness and management capacity in China's solid waste emergency response.

A Study on Revenue Distribution of Chinese Agricultural E-Commerce Supply Chain Based on the Modified Shapley Value Method

With the rapid development of e-commerce in China, “live broadcast + e-commerce” has become an emerging mode of the e-commerce industry. The speedy growth of the digital economy has also provided a favorable external environment for fresh agricultural products to ride on the e-commerce express train. As a result, more and more suppliers of fresh agricultural products choose to sell their products on e-commerce platforms and conduct live streaming. This paper utilizes the e-commerce supply chain field survey data, takes tomato as the specific analyzed variety, and studies the revenue distribution pattern of each subject in the supply chain. The purpose of this paper is to explore the optimization strategy of the revenue distribution of an agricultural e-commerce supply chain, and the results show that the agricultural e-commerce supply chain effectively promotes the matching of supply and demand of medium- and high-end agricultural products, realizes the quality premium of medium- and high-end agricultural products, and significantly improves the overall revenue level of the supply chain. The field survey found that under the supply chain model of “farmers + cooperatives + e-commerce platform”, farmers, cooperatives, and e-commerce platforms gained $2865, $3098, and $1111, respectively, for operating one mu of tomatoes in a year. According to the traditional Shapley value method, from the point of view of the contribution to the cooperative income, part of the income of the farmers and cooperatives should be compensated to the e-commerce platform, and the specific results are as follows: the income of the farmers should be reduced from $2865 to $2729, the income of the cooperatives should be reduced from $3099 to $2955, and the income of the e-commerce platform should be increased from $1111 to $1390. According to the Shapley value method based on the risk coefficient correction, from the perspective of risk compensation, part of the earnings of the e-commerce platform should be compensated to farmers and cooperatives, so as to establish a more equitable and reasonable pattern of earnings distribution, with the specific results: the earnings of farmers should be increased to $3205, the earnings of cooperatives should be increased to $3148, and the earnings of the e-commerce platform should be reduced to $722.

Spatio-Temporal Variations of Soil Conservation Service Supply–Demand Balance in the Qinling Mountains, China

The ecological conservation of nature reserves has garnered considerable attention and is subject to stringent management in China. However, the majority of these areas have a history of underdeveloped economies and require urgent improvements in the well-being of local communities. Effectively coupling and harmonizing the dynamic relationship between ecosystem services and socio-economic development has emerged as a crucial concern for nature reserves. Therefore, further exploration is needed to achieve a spatio-temporal balance and alignment between the supply and demand of ESs in nature reserves in China. Utilizing multiple datasets, RULSE, and bivariate autocorrelation methods, this study investigated the spatio-temporal evolution of the ecosystem services supply–demand ratio (ESDR) and supply–demand spatial matches for soil conservation services (SCSs) in the Qinling Mountains (QMs) from 2000 to 2020. The results indicated the following: (1) Over the years, the supply of SCSs exhibited a consistently high level, with an upward trend observed in 63.10% of the QMs, while the demand for SCSs is generally low, with a decreasing trend observed in 82.68% of the QMs. (2) The supply and demand of SCSs remained favorable, with a positive ESDR reaching 82.19% of the QMs. From 2000 to 2010, there was a significant decline in ESDR; however, a substantial rebound was observed in the ESDR across the region from 2010 to 2020. (3) Over years, the majority of counties and districts exhibited positive values in ESDR. When examining cities, Weinan, Xi’an, and Ankang demonstrated relatively consistent patterns with higher ESDR values over time. In 2000, the ESDR on the northern slope exhibited lower values than that on the southern slope; however, this situation subsequently underwent a reversal. (4) The spatial distribution of SCS supply and demand was predominantly characterized by matching regions exhibiting either High Supply–High Demand or Low Supply–Low Demand for years. This study suggests that the supply and demand dynamics of SCSs in the Qinling Mountains have been favorable in recent years, with consistent spatial supply–demand matches. These findings can provide valuable insights for similar nature reserves aiming to implement ecological environmental protection and achieve sustainable development. The future research endeavors, however, should strive to expand upon these findings by exploring the supply and demand patterns associated with other ESs across diverse nature reserves, while considering their unique geographical characteristics, in order to promote more rational ecological management strategies.

Elite women's soccer match demand can be described using complexity-based analyses and multifractals

The present study aimed to investigate the variability of the displacements in elite women soccer players during official matches according to the position of the players and to the match progression using non-linear analyses (entropy and multifractal spectrum).Sixty-three velocity profiles from global positioning devices of elite professional women soccer players were analyzed. The mean, coefficient of variation, and maximum velocity were calculated during the match using four equal segments. Sample entropy and seven parameters derived from the multifractal detrended fluctuation analysis were also calculated. The players were split into five field playing positions: forwards (FW), offensive midfielders (OM), defensive midfielders (DM), central defenders (CD), and lateral defenders (LD).No significant playing position × period interaction was found for the different parameters analyzed. However, most parameters showed a significant main effect for playing position (p < .01) and period (p < .01). Compared to the other players, FW and OM have the lowest entropy. All players showed a dominance of small velocity fluctuations but FW players showed the widest multifractal spectrum primarily. In contrast, CD had a narrow spectrum and reduced amount of small fluctuations. As the game progressed, mean velocity and entropy significantly decreased. In contrast, the multifractal peak value significantly alongside with changes in asymmetry.From the present results, velocity profiles during elite women's soccer games depicted multifractal features sensitive to player position and match segment, which can help to understand the dynamics and variability of players' responses during a match.

Contributions to a Theoretical Framework for Evaluating the Supply–Demand Matching of Medical Care Facilities in Mega-Cities: Incorporating Location, Scale, and Quality Factors

The rapid urbanization and population growth in mega-cities have led to a significant increase in the demand for medical services, highlighting the critical need for a more efficient alignment between the supply and demand of medical resources. Previous research often focuses on singular factors, such as accessibility or quantity, as the primary criteria for matching medical services, without comprehensively considering the location, scale, and quality factors of medical facilities. Addressing this gap, this study develops a theoretical framework that integrates these three critical factors to assess the supply–demand matching (SDM) of medical care facilities (MCFs) with population needs. This assessment is conducted using geospatial analysis techniques with ArcGIS and Python. The study includes an empirical analysis of 134 streets within the Chongqing municipality. The empirical results reveal significant disparities in the performance of integrated medical care facilities (MCFs), as well as variations across the dimensions of location, scale, and quality. Central districts like Yuzhong demonstrate high levels of accessibility, appropriate scale matching, and satisfactory service quality, whereas rapidly urbanizing peripheral districts such as Yubei suffer from significant mismatches in resource availability and service quality. The theoretical framework contributes to the field of medical care research, and the corresponding empirical findings provide valuable insights for urban planners and policymakers to optimize the allocation of medical resources, improve healthcare accessibility, and enhance service quality across different urban areas.

Operation Strategy and Matching of Supply and Demand of CCHP System with Various Building Types

Operation Strategy and Matching of Supply and Demand of CCHP System with Various Building Types

Effects of 90-Minute Football Match on Red Blood Indices in Sedentary Young Males

While exercise-induced haemorheological alterations are well-documented in various sports, the specific impact of a football match on red blood cell (RBC) parameters remains unknown. This study investigates the acute effects of a 90-minute football match on RBC indices in sedentary young males. After inclusion and exclusion criteria, twenty (20) moderately active, non-smoking male volunteers (mean age: 20.00 ± 0.4 years) participated in the study. Venous blood samples were collected pre- and post- football match to assess RBC count, haematocrit (HCT), and plasma volume (PV). Data generated were subjected to paired student's t-tests using SPSS, to compare values between pre- and post-match measurements. A p-value of less than 0.05 was considered indicative of statistical significance. The results showed a statistically significant decrease in haematocrit (HCT) and red blood cell count (RBC) after the match (p &lt; 0.05) when compared to pre-match values. This was accompanied by a significant increase in plasma volume (PV) (p &lt; 0.05), which was higher than pre-match values. These changes suggest that the physiological demands of the football match influenced blood parameters, likely due to fluid shifts and haemodilution during intense physical activity. These findings suggest potential implications for exercise physiology, diagnosis, and therapy in sports medicine.

Integrated Benefits of Sustainable Utilization of Construction and Demolition Waste in a Pressure-State-Response Framework

This study presents the first application of the pressure-state-response (PSR) model in the comprehensive assessment of construction and demolition waste (CDW) recycling benefits. Unlike traditional methods, the PSR model provides a multi-dimensional analysis that integrates economic, environmental, and social factors, offering a more holistic approach to evaluating the impact of CDW recycling strategies. This model enables stakeholders to better understand the pressures, states, and responses involved in CDW management, providing actionable insights to optimize recycling efforts and support sustainable urban development. Using the pressure-state-response (PSR) logical framework of sustainable economics, this paper systematically analyzed the comprehensive benefit mechanism of the recycling of construction and demolition waste (CDW), and designed a comprehensive benefit evaluation model for CDW recycling. At the same time, taking Chongqing as an example, the management status of construction and demolition waste, the supply and demand matching of sustainable recycling products, and the impact of the input and output of CDW management were analyzed. The results were as follows: (1) The recovery rate of urban manure fluctuated between 0.13 and 0.17, mainly in temporary landfill. (2) Based on the latest market demand data of CDW recycled products, the supply–demand ratio of recycled products fluctuated between 0.11 and 0.21. This change in the supply–demand ratio reflects improvements in recycling technologies, such as the introduction of C2CA technology, which has greatly increased the supply of high-quality recycled materials. In addition, government policies encouraging the use of recycled products in public projects have contributed to this shift, further aligning supply with market demand. (3) The benefit–cost ratio of CDW management reflects new recycling technologies and the improved efficiency of CDW management. The benefit–cost ratio, which currently fluctuates between 0.32 and 0.39, more accurately reflects the current state of CDW management, which is increasingly adopting advanced technologies, resulting in increased efficiency and reduced costs. Based on this, this paper discusses the supply–demand relationship and benefit–cost ratio in CDW management from supply-side and demand-side perspectives, and puts forward corresponding countermeasures and suggestions. The research results provide a clear reference for improving the efficiency of building demolition waste resource utilization, especially in optimizing the balance of market supply and demand, and improving the economic benefits of recycled products. By analyzing the balance between the supply and demand ratio and the benefit–cost ratio, this study helps inform policy makers, businesses, and investors, to promote the sustainable development of CDW recycling projects to maximize resource efficiency, while reducing environmental pressures. These results not only provide practical guidelines for the implementation of CDW recycling projects, but also lay a foundation for future policy formulation and the setting of industry standards.

An iterative price-based combinatorial double auction for additive manufacturing markets

The increasing adoption of additive manufacturing (AM) in the industrial sector is leading to an imbalance between supply and demand of additively manufactured subcomponents: companies demanding AM services require very specific products and AM suppliers differ widely in their capabilities. Some existing proposals aim to help match supply and demand by merely making customer–supplier allocations. Only a few recent works go beyond allocation issues and propose market mechanisms to also address pricing aspects. However, we observe that these mechanisms do not fully exploit the potential of additive manufacturing techniques. The aim of this paper is to design a market mechanism that considers the particularity of AM techniques, wherein suppliers can benefit from manufacturing multiple heterogeneous parts from multiple customers in the same build area to increase production throughput. This market mechanism has been implemented as an iterative combinatorial double auction that adapts to this feature of the AM market: customers will bid to get their orders produced and suppliers will submit asking quotes to win the production of combinations of those orders. The mechanism solves the allocation and pricing of AM orders while seeking the maximization of social welfare. The procedure is simulated in a theoretical environment to evaluate its performance and to identify the most appropriate conditions for its implementation in a real environment. Unlike other existing proposals for client-supplier allocation mechanisms in additive manufacturing, the proposed mechanism allows a single supplier to produce a combination of orders from different clients, leading to a pricing system that maximizes social welfare without participants disclosing sensitive information.

Research on the Matching of Supply and Demand of Basic Public Education Services in the Main Urban Area of Zhengzhou Based on Accessibility

Research on the Matching of Supply and Demand of Basic Public Education Services in the Main Urban Area of Zhengzhou Based on Accessibility

Unraveling the complex interconnections between food-energy-water nexus sustainability and the supply-demand of related ecosystem services

Matching the supply and demand of related ecosystem services can be an effective way to realize long-term sustainable management of the food-energy-water nexus (FEW Nexus) in drylands. However, few studies have focused on the matching of supply and demand for ecosystem services associated with advancing the sustainability of FEW-Nexus, there is limited research in this domain, which lacks systematic and quantitative analysis of the relationship between them and FEW Nexus sustainability. Here, this research takes the West Liaohe River Basin in the arid region of China as a case study. Based on a localized FEW Nexus sustainability evaluation index system, the FEW Nexus sustainability and the supply-demand matching characteristics of the corresponding ecosystem services in the West Liaohe River Basin from 2005 to 2015 were assessed. The relationship between them was analyzed quantitatively through the methods of coupling coordination degree and geographical detector. The results showed a synergistic improvement in both FEW Nexus sustainability and the supply-demand situation of combined ecosystem services. The supply of food production and water yield were able to meet their demands adequately from 2005 to 2015, with a strengthening surplus, leading to an overall surplus and gradual improvement in the integrated ecosystem services. This surplus synergistically promoted the process of FEW Nexus sustainability. The results of the geographical detector indicate that the supply-demand ratio of carbon sequestration was the main factor influencing FEW Nexus sustainability. Areas with higher FEW Nexus sustainability tended to have larger deficits in carbon sequestration, which was more evident in areas with high levels of urbanization. Therefore, the key to enhancing FEW Nexus sustainability in the basin is to balance the supply of and demand for carbon sequestration services. Overall, the present study not only provides a basis for strengthening the management of the supply-demand of ecosystem services associated with FEW to achieve regional sustainable development, but also offers insights into how the growing demand for the FEW Nexus is exerting pressure on the balance between supply and demand of related ecosystem services.

Asymmetric Nash bargaining model for operation optimization of multi-integrated energy systems considering peer-to-peer energy trading

Energy interactions across integrated energy systems constitute crucial means to enhance energy efficiency and match supply and demand. However, the cooperative operation and benefit distribution among multiple integrated energy systems still need in-depth exploration. To fill this gap, this paper presents an asymmetric Nash bargaining optimization model for multiple integrated energy systems considering peer-to-peer trading. First, a scheduling model for multi-integrated energy systems is formulated considering carbon trading. Then, the model is incorporated into Nash bargaining framework and transformed into the alliance cost minimization subproblem and peer-to-peer trading payment bargaining subproblem. The bargaining power factor is introduced to measure the contribution of participants in energy sharing. The alternating direction multiplier method is utilized to handle the proposed model. Finally, a case study is carried out to validate the validity of the proposed strategy. The results show that compared with the independent operation mode, the performances of three integrated energy systems in collaborative operation mode are enhanced by 11.7 %, 9.0 %, and 4.8 % respectively. The distributed algorithm can reduce the computation time by 30 % and obtain highly efficient solutions while protecting private information of each participant. This research provides support and practical tools for conducting peer-to-peer transactions of multiple integrated energy systems.