Cost Targets Research Articles

Offshore wind and wave energy can reduce total installed capacity required in zero-emissions grids

As the world races to decarbonize power systems to mitigate climate change, the body of research analyzing paths to zero emissions electricity grids has substantially grown. Although studies typically include commercially available technologies, few of them consider offshore wind and wave energy as contenders in future zero-emissions grids. Here, we model with high geographic resolution both offshore wind and wave energy as independent technologies with the possibility of collocation in a power system capacity expansion model of the Western Interconnection with zero emissions by 2050. In this work, we identify cost targets for offshore wind and wave energy to become cost effective, calculate a 17% reduction in total installed capacity by 2050 when offshore wind and wave energy are fully deployed, and show how curtailment, generation, and transmission change as offshore wind and wave energy deployment increase.

Effectiveness of Gas Recombination Catalyst Layers in Mitigating H2 Crossover in PEM Water Electrolyzers Operating at High Differential Pressure

Gigawatt-scale deployment of proton exchange membrane water electrolyzers (PEMWE) to produce green hydrogen at $1/kg of H2, the US department of energy’s (DOE) ultimate cost target, requires the use of thinner membranes to reduce ohmic losses at high current densities as well as differential pressure operation to improve the overall system efficiency.1 High differential pressure operation results in significant hydrogen crossover through PEMs leading to safety concerns due to the formation of a flammable gas mixtures at anode (> 4% H2 in O2).2 Therefore, the successful deployment of PEMWEs at scale relies on successful implementation strategies to reduce the hydrogen concentration at anode to enable safe operation at high efficiency. These strategies include incorporating gas recombination catalyst (GRC) in the membrane, PTL or downstream in the anode gas outlet. However, the impact of GRC layers on PEMWE performance and hydrogen crossover rates at high differential pressure is not well understood.In this work, we employ in-operando gas chromatography coupled with thermal conductivity detector along with PEMWEs operating at differential pressures (up to 30 bar) to quantify hydrogen crossover rates through PEM at differential pressure. Using this setup, we evaluate the effectiveness of gas recombination layers incorporated in PEMWE membrane electrode assemblies (MEA) in mitigating the risk of formation of the flammable gas mixture. Further, we will also discuss implications of high differential pressure operation on PEMWE performance, durability, and operational safety.

Unravelling Elements of Value of Healthcare and Assessing their Importance Using Evidence from Two Discrete-Choice Experiments in England.

Health systems are moving towards value-based care, implementing new care models that allegedly aim beyond patient outcomes. Therefore, a policy and academic debate is underway regarding the definition of value in healthcare, the inclusion of costs in value metrics, and the importance of each value element. This study aimed to define healthcare value elements and assess their relative importance (RI) to the public in England. Using data from 26 semi-structured interviews and a literature review, and applying decision-theory axioms, we selected a comprehensive and applicable set of value-based elements. Their RI was determined using two discrete choice experiments (DCEs) based on Bayesian D-efficient DCE designs, with one DCE incorporating healthcare costs expressed as income tax rise. Respondent preferences were analysed using mixed logit models. Six value elements were identified: additional life-years, health-related quality of life, patient experience, target population size, equity, and cost. The DCE surveys were completed by 402 participants. All utility coefficients had the expected signs and were statistically significant (p<0.05). Additional life-years (25.3%; 95% confidence interval [CI] 22.5-28.6%) and patient experience (25.2%; 95% CI 21.6-28.9%) received the highest RI, followed by target population size (22.4%; 95% CI 19.1-25.6%) and quality of life (17.6%; 95% CI 15.0-20.3%). Equity had the lowest RI (9.6%; 95% CI 6.4-12.1%), decreasing by 8.8 percentage points with cost inclusion. A similar reduction was observed in the RI of quality of life when cost was included. The public prioritizes value elements not captured by conventional metrics, such as quality-adjusted life-years. Although cost inclusion did not alter the preference ranking, its inclusion in the value metric warrants careful consideration.

Fundamental benchmarking of the discharge properties of negative electrodes in lead acid batteries

The unprecedented scale of energy storage deployment needed to allow high penetration of intermittent renewable energy sources into the electrical grid places significant economic cost and performance targets on battery technologies. Lead batteries, owing to their highly abundant and inexpensive raw materials, can be considered an important solution to grid storage as long as they achieve high material utilization, fast recharge rates, and long cycle life. To address the limitations in material utilization, we need to revisit the electrochemical processes during the discharge step and answer the following question: what are the fundamental limits of the discharge reaction? In this work we discuss how well-defined lead metal surfaces with nanometer scale roughness allow us to resolve the accessible discharge capacity for both faradaic and non-faradaic processes as a function of electrolyte concentration and in the presence of traditional additives. The direct connection between PbSO4 layer morphology and discharge rates gives us important insights on the mechanism of discharge as related to the dissolution and passivation events. This work sets the stage for reimagining the design of lead batteries with implications to grid storage applications.

Cost burden following esophagectomy: A single centre observational study.

Cost analyses of patients undergoing esophagectomy is valuable for identifying modifiable expenditure drivers to target and curtail costs while improving the quality of care. We aimed to define the cost-complication relationship after esophagectomy and delineate the incremental contributions to costs. To assess the relationship between the hospital costs and potential cost drivers post esophagectomy and investigate the relationship between the cost-driving variables (predicting variables) and hospital costs (dependent variable). In this retrospective single center study, the severity of complications was graded using the Clavien-Dindo (CD) classification system. Key esophagectomy complications were categorized and defined according to consensus guidelines. Raw costing data included the in-hospital costs of the index admission and any unplanned admission within 30 postoperative days. We used correlation analysis to assess the relationship between key clinical variables and hospital costs (in United States dollars) to identify cost drivers. A mediation model was used to investigate the relationship between these variables and hospital costs. A total of 110 patients underwent primary esophageal resection. The median admission cost was $47822.7 (interquartile range: 35670.2-68214.0). The total effects on costs were $13593.9 (95%CI: 10187.1-17000.8, P < 0.001) for each increase in CD severity grade, $4781 (95%CI: 3772.7-5789.3, P < 0.001) for each increase in the number of complications, and $42552.2 (95%CI: 8309-76795.4, P = 0.015) if a key esophagectomy complication developed. Key esophagectomy complications drove the costs directly by $11415.7 (95%CI: 992.5-21838.9, P = 0.032). The severity and number of complications, and the development of key esophagectomy complications significantly contributed to total hospital costs. Continuous institutional initiatives and strategies are needed to enhance patient outcomes and minimize costs.

5G as Communication Platform for Solar Tower Plants

Wiring of heliostat fields for solar tower plants is a cost factor that becomes more important as the overall cost target is decreasing. Wireless heliostats with radio communication and autarchic energy supply have therefore been proposed in the past. But none of the communication solutions investigated so far could realistically scale to commercial size plants with tens of thousands of heliostats. Moreover, the digitalization of CSP plants with numerous mobile and stationary sensor systems requires a suitable data communication, too. The new generation of mobile radio communication (5G) is capable of handling the heterogenous communication profile portfolio comprising large numbers of units with low data rates – like heliostats - and few units with very large data volume – like e.g. drone-based camera systems. The communication requirements of a typical solar tower installation are assessed in this work and a data traffic model is created for the most relevant communication channels. The various existing 5G implementations are assessed to find the most suitable solution. Different operator models for 5G are considered and their applicability in CSP target countries is discussed. A simulation test case is presented that models the radio communication traffic of a heliostat field control during a cloud passage. Finally, the experimental 5G campus network is introduced that is currently installed at the Solar Tower Jülich research plant and will be operated in the upcoming months to demonstrate the technical feasibility of 5G radio for communication in solar fields.

KWH Cost Analysis of Energy Storage Power Station Based on Changing Trend of Battery Cost

Energy storage plays a vital role in enhancing the resilience of the power grid. Utilizing typical capacity and power energy storage application scenarios, coupled with industry research data and technical analysis of energy storage, this study calculates the cost of energy storage per kilowatt-hour and the associated mileage cost. The findings indicate that the current cost per kilowatt-hour of electrochemical energy storage ranges from approximately 0.6 to 0.9 yuan/(kW⋅h), revealing a considerable gap between the target cost for widespread application and the range of 0.3 to 0.4 yuan/(kW⋅h). Therefore, the development of energy storage technologies (EST) should prioritize achieving “low cost, long life, high safety, and easy recycling,” taking into account a comprehensive assessment of system manufacturing, system lifespan, system safety, and recycling. This paper delves into the changing trend of battery costs and their impact on kilowatt-hours, presenting strategic suggestions to reduce the kilowatt-hour cost of ESP stations. The research underscores that a continuous reduction in battery costs will contribute to enhancing the economic benefits of ESP stations and provide robust support for the future development of the energy storage industry.

A novel mediator probe and universal fluorescence probe (MP-UP) system for highly sensitive and versatile nucleic acid detection

Real-time qPCR and digital PCR are powerful techniques for detecting nucleic acids with high specificity and sensitivity, relying on sequence-specific labeled probes. However, each target requires the design and synthesis of specific probes, incurring significant costs. Therefore, the development of a specific and universal detection technique is both urgent and beneficial. Previously, a universal detection method was developed using a modified mediator probe and a universal hairpin reporter. However, our experiments uncovered that the mediator primers, generated by Taq polymerase cleaving mediator probes, deviate from the expected sequence, indicating a severe compromise in detection ability. Additionally, the high cost of the modified mediator probe and hairpin reporter impedes the practicality of their method. To overcome these challenges, we have developed a novel universal detection method (MP-UP) using Taqman probes, unmodified mediator probes and helper target, enabling the utilization of all mediator primers to produce abundant fluorescence. Enhanced MP-UP qPCR with an increased signal-to-noise ratio, MP-UP ddPCR, and multiplex MP-UP were established, exhibiting remarkable sensitivity, specificity, and precision comparable to specific probe assays or commercial testing kit. The mediator probe and helper target cost only one-tenth of a specific Taqman probe, rendering it feasible to replace the latter in specific nucleic acid detection.

Estimation of potential social support requirement for tuberculosis patients in India.

Providing social support to tuberculosis (TB) patients is a recommended strategy as households having TB patients find themselves in a spiral of poverty because of high cost, huge income loss and several other economic consequences associated with TB treatment. However, there are few examples of social support globally. The Indian government introduced the 'Nikshay Poshan Yojana' scheme in 2018 to provide nutritional support for all registered TB patients. A financial incentive of 500 Indian Rupee (6 United States Dollars) per month was proposed to be transferred directly to the registered beneficiaries' validated bank accounts. We examined the reach, timing, amount of benefit receipt and the extent to which the benefit alleviated catastrophic costs (used as a proxy to measure the impact on permanent economic welfare as catastrophic cost is the level of cost that is likely to result in a permanent negative economic impact on households) by interviewing 1482 adult drug-susceptible TB patients from 16 districts of four states during 2019 to 2023, using the methods recommended by the World Health Organization for estimating household costs of TB nationally. We also estimated the potential amount of social support required to achieve a zero catastrophic cost target. At the end of treatment, 31-54% of study participants received the benefit. In all, 34-60% of TB patients experienced catastrophic costs using different estimation methods and the benefit helped 2% of study participants to remain below the catastrophic cost threshold. A uniform benefit amount of Indian Rupee 10 000 (127 United States Dollars) for 6 months of treatment could reduce the incidence of catastrophic costs by 43%. To improve the economic welfare of TB patients, levels of benefit need to be substantially increased, which will have considerable budgetary impact on the TB programme. Hence, a targeted rather than universal approach may be considered. To maximize impact, at least half of the revised amount should be given immediately after treatment registration.

Technological evolution of large-scale blue hydrogen production toward the U.S. Hydrogen Energy Earthshot

Hydrogen potentially has a crucial role in the U.S. transition to a net-zero emissions economy. Learning from large-scale hydrogen projects will boost technological evolution and innovation toward the U.S. Hydrogen Energy Earthshot. We apply experience curves to estimate the evolving costs of blue hydrogen production and to further examine the economic effect on technological evolution of the Inflation Reduction Act’s tax credits for carbon sequestration and clean hydrogen. Learning-by-doing alone can decrease the production cost of blue hydrogen. Without tax incentives, however, it is hard for blue hydrogen production to reach the cost target of $1/kg H2. Here we show that the breakeven cumulative production capacity required for gas-based blue hydrogen to reach the $1/kg H2 target highly depends on tax credit, natural gas price, inflation rate, and learning rates. We make recommendations for hydrogen hub development and for accelerating technological progress toward the Hydrogen Energy Earthshot.

Novel approaches to enable equitable access to monoclonal antibodies in low- and middle-income countries.

Monoclonal antibodies (mAbs) are revolutionizing management of non-communicable diseases in high-income countries and are increasingly being advanced for a range of infectious diseases (IDs). However, access to existing mAbs is limited in low- and middle-income countries (LMICs), and investment in developing fit-for-purpose mAbs for IDs that disproportionately affect LMICs has been limited. Underlying these access barriers are systemic challenges, including a lack of commercial incentives to target LMIC markets and complexity in manufacturing and regulatory processes. Novel strategies are needed to overcome systemic access barriers for mAbs. We outline key areas where new approaches could address these barriers, based on a multistakeholder consultation in March 2023. Three disease-market archetypes are identified to guide thinking about business models tailored to different contexts. New business models are needed to incentivize development and manufacturing of ID mAbs and to ensure mAbs are optimized with a target product profile and cost of goods that enable use in diverse LMIC settings. Lessons can be applied from voluntary licensing strategies and product development partnerships that have shown success in catalysing development and affordable supply for a range of infectious diseases. Technology transfer will be key to expand LMIC research and manufacturing capacity and to enable sustainable and diversified supply. Improved market intelligence, demand aggregation mechanisms, and portfolio-based manufacturing models could be used to de-risk commercial investment and establish a sustainable manufacturing ecosystem for affordable mAbs. Novel regulatory approaches and robust technology transfer may reduce data requirements and timelines for biosimilar approvals. Trailblazer products, with coordinated "end-to-end" support from funders, can demonstrate proof of concept for pathways to accessible mAbs across a broader range of LMICs. Research funders; local, regional, global health agencies; and, private sector partners should commit to implementing innovative partnerships and end-to-end strategies that enable equitable access to mAbs for infectious diseases in LMICs.

An exploratory randomised trial investigating feasibility, potential impact and cost effectiveness of link workers for people living with multimorbidity attending general practices in deprived urban communities

BackgroundSocial prescribing link workers are non-health or social care professionals who connect people with psychosocial needs to non-clinical community supports. They are being implemented widely, but there is limited evidence for appropriate target populations or cost effectiveness.This study aimed to explore the feasibility, potential impact on health outcomes and cost effectiveness of practice-based link workers for people with multimorbidity living in deprived urban communities.MethodsA pragmatic exploratory randomised trial with wait-list usual care control and blinding at analysis was conducted during the COVID 19 pandemic (July 2020 to January 2021). Participants had two or more ongoing health conditions, attended a general practitioner (GP) serving a deprived urban community who felt they may benefit from a one-month practice-based social prescribing link worker intervention.. Feasibility measures were recruitment and retention of participants, practices and link workers, and completion of outcome data. Primary outcomes at one month were health-related quality of life (EQ-5D-5L) and mental health (HADS). Potential cost effectiveness from the health service perspective was evaluated using quality adjusted life years (QALYs), based on conversion of the EQ-5D-5L and ICECAP-A capability index to utility scoring.ResultsFrom a target of 600, 251 patients were recruited across 13 general practices. Randomisation to intervention (n = 123) and control (n = 117) was after baseline data collection. Participant retention at one month was 80%. All practices and link workers (n = 10) were retained for the trial period. Data completion for primary outcomes was 75%. There were no significant differences identified using mixed effects regression analysis in EQ-5D-5L (MD 0.01, 95% CI -0.07 to 0.09) or HADS (MD 0.05, 95% CI -0.63 to 0.73), and no cost effectiveness advantages. A sensitivity analysis that considered link workers operating at full capacity in a non-pandemic setting, indicated the probability of effectiveness at the €45,000 ICER threshold value for Ireland was 0.787 using the ICECAP-A capability index.ConclusionsWhile the trial under-recruited participants mainly due to COVID-19 restrictions, it demonstrates that robust evaluations and cost utility analyses are possible. Further evaluations are required to establish cost effectiveness and should consider using the ICE-CAP-A wellbeing measure for cost utility analysis.RegistrationThis trial is registered on ISRCTN.Title: Use of link workers to provide social prescribing and health and social care coordination for people with complex multimorbidity in socially deprived areas.Trial ID: ISRCTN10287737.Date registered 10/12/2019.Link: https://www.isrctn.com/ISRCTN10287737

AnaConDaR: Anatomically-Constrained Data-Adaptive Facial Retargeting

Offline facial retargeting, i.e., transferring facial expressions from a source to a target character, is a common production task that still regularly leads to considerable algorithmic challenges. This task can be roughly dissected into the transfer of sequential facial animations and non-sequential blendshape personalization. Both problems are typically solved by data-driven methods that require an extensive corpus of costly target examples. Other than that, geometrically motivated approaches do not require intensive data collection but cannot account for character-specific deformations and are known to cause manifold visual artifacts.We present AnaConDaR, a novel method for offline facial retargeting, as a hybrid of data-driven and geometry-driven methods that incorporates anatomical constraints through a physics-based simulation. As a result, our approach combines the advantages of both paradigms while balancing out the respective disadvantages. In contrast to other recent concepts, AnaConDaR achieves substantially individualized results even when only a handful of target examples are available. At the same time, we do not make the common assumption that for each target example a matching source expression must be known. Instead, AnaConDaR establishes correspondences between the source and the target character by a data-driven embedding of the target examples in the source domain. We evaluate our offline facial retargeting algorithm visually, quantitatively, and in two user studies.

Efisiensi Perolehan Pendapatan Antara Beban Yang Dikeluarkan Dengan Pendapatan Terhadap Keuntungan Usaha Menggunakan Metode Target Costing (Studi Pada Usaha Kuliner Jajanan Najla Di Purwakarta)

The magnitude of profit obtained is highly dependent on production cost efficiency, thus requiring special attention to achieve the company's target. Cost control must align with the company's objectives, including achieving maximum profit with minimal production costs. This study aims to analyze the relationship between expenses, income, and business profits in UMKM Jajanan Nazla, as well as identify key factors influencing the efficiency of revenue generation and expense expenditure. Based on the analysis of production costs, UMKM Jajanan Nazla faces a deficit in net profit due to the inability to cover production costs. Therefore, this research applies the target costing method to improve its profitability. The steps of implementing target costing involve determining market prices, calculating target profits, and identifying target production costs. By implementing value engineering, such as reducing packaging costs, labor costs, and even eliminating rental costs, UMKM successfully reduces production costs to meet the set target cost. As a result, production costs decreased from Rp. 7,880,000 to Rp. 5,240,000 per month, resulting in savings of Rp. 2,640,000. Thus, the initially deficit net profit increased to Rp. 1,510,000 per month after the application of target costing. In conclusion, it can be inferred that the target costing method is effective in improving the production cost efficiency of UMKM Jajanan Nazla, helping them strengthen their position in the competitive market.

Signaling Targeting Cost Through List Price

Data analytics enable firms to offer personalized prices to targeted consumers but at a cost. We study a competitive personalized pricing game where the entrant is uncertain about the incumbent’s targeting cost. We demonstrate that implementing personalized pricing through a “list price-discount” scheme allows the incumbent to signal its targeting cost via the list price. This signaling mechanism is effective because the list price serves as a price ceiling, which limits the incumbent’s ability to extract consumer surplus through personalized discounts. The high-cost incumbent can strategically set its list price below the full-information level to separate itself from the low-cost incumbent. Interestingly, the high-cost incumbent prefers separating over pooling only when there is a moderate variation in the incumbents’ targeting costs. Personalized pricing can affect firms differently, benefiting the incumbent but hurting the entrant. Asymmetric information about targeting costs weakens the high-cost incumbent’s incentive to offer personalized discounts, resulting in lower total targeting costs and potentially increasing social surplus. These findings shed light on government regulations and transparency policies regarding personalized pricing. This paper was accepted by Dmitri Kuksov, marketing. Funding: P. Yu was supported by the National Natural Science Foundation of China [Grants 72371038 and 72033003]. J. Zhang was supported by the National Natural Science Foundation of China [Grants 72371061 and 72232001]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2023.02031 .

Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment

ABSTRACT To overcome the issues of simple strategy and easy fall into local optimum when solving UAV 3D path planning problem, we propose an improved Levy Pelican Optimization Algorithm (LPOA) that incorporates the hunter-prey algorithm and solves the UAV 3D path planning problem based on the improved LPOA. Based on the original algorithm, on the one hand, we introduce Levy flight and adaptive parameters to update the pelican position, balance the algorithm development phase and exploration phase, and effectively avoid the problem of falling into local optimum at the early stage of the algorithm. On the other hand, we use chaotic mapping to initialize the population, integrate the prey generation strategy to enhance the prey generation formula and improve algorithm orientation and convergence speed. The test results are compared and analyzed with those of classical, current mainstream, and recently released swarm intelligence optimization algorithms. Using 3D mountain range model experiments, the algorithm is compared before and after optimization, and the improved optimization algorithm is then applied to the actual problem of UAV 3D path planning. Research has found that the improved LPOA optimizes the total target cost of the algorithm by 9.75% and optimizes the planned average shortest path by 20.30%.

Reducing embodied carbon with material optimization in structural engineering practice: Perceived barriers and opportunities

Structural engineers play an essential role in reducing embodied carbon emissions in buildings, which contribute significantly to global carbon emissions. In this work, 39 structural engineers primarily from the Northeastern US are surveyed on how embodied carbon is reduced in practice, particularly through computational tools that facilitate material efficiency (e.g. parametric design models and structural optimization tools). Leading barriers to embodied carbon reductions are identified as: (i) lack of awareness of how to quantify embodied carbon or reduce it, (ii) perception of increased costs, and (iii) lack of power in relation to other project stakeholders. The use of computational tools is found to be primarily inhibited by increased design time and costs. These results highlight opportunities to overcome these barriers, such as increasing awareness of strategies to reduce embodied carbon and targeting time and cost (or perceived time and cost) in computational design workflows for structural engineers.

38‐3: Invited Paper: Integration Challenges for MicroLED on CMOS for AR

Hitting the performance, cost and yield targets for microLED displays that can be used in augmented reality headsets poses formidable challenges. Here we discuss some of those issues and report on the progress of MICLEDI 300mm manufacturing platform.

Using models and maps to inform Target Product Profiles and Preferred Product Characteristics: the example of Wolbachia replacement

Background The global prevalence of diseases transmitted by Aedes aegypti mosquitoes, such as dengue, Zika and Yellow Fever, is increasing, but development of promising new mosquito control technologies could reverse this trend. Target Product Profiles (TPPs) and Preferred Product Characteristics (PPCs) documents issued by the World Health Organization can guide the research and development pathways of new products and product combinations transitioning from proof of concept to operational use. Methods We used high resolution global maps of the case and economic burden of dengue to derive programmatic cost targets to support a TPP for Wolbachia replacement. A compartmental entomological model was used to explore how release size, spacing and timing affect replacement speed and acceptability. To support a PPC for a hybrid suppress-then-replace approach we tested whether Wolbachia replacement could be achieved faster, more acceptably or at a lower cost if preceded by a mosquito suppression programme. Results We show how models can reveal trade-offs, identify quantitative thresholds and prioritise areas and intervention strategies for further development. We estimate that for Wolbachia replacement to be deployable in enough areas to make major contributions to reducing global dengue burden by 25% (in line with 2030 WHO targets), it must have the potential for cost to be reduced to between $7.63 and $0.24 (USD) per person protected or less. Suppression can reduce the number of Wolbachia mosquitoes necessary to achieve replacement fixation by up to 80%. A hybrid approach can also achieve fixation faster and potentially improve acceptability, but may not justify their cost if they require major new investments in suppression technologies. Conclusions Here we demonstrate the value dedicated modelling can provide for interdisciplinary groups of experts when developing TPPs and PPCs. These models could be used by product developers to prioritise and shape development decisions for new Wolbachia replacement products.

An Analysis of the Application of Target Cost Management in Enterprise Economic Management

Target cost management, as an important management method, can optimize the effect of economic management through effective systematic management procedures and structures in enterprise economic management, to strengthen cost control and promote the effective improvement of enterprise management level. The purpose of this paper is to discuss the application of target cost management in enterprise economic management, by analyzing the importance of target cost management, application dilemma, and application strategy, put forward the key points that need to be paid attention to in the implementation of the target cost management, the enterprise should set up an effective goal-setting mechanism, strengthen the cost control and efficiency enhancement, and strengthen the performance evaluation and incentive mechanism, to realize the cost control and efficiency enhancement, and to improve the enterprise's competitiveness and profitability.