Maximum Production Capacity Research Articles

The mitochondrial function of peripheral blood mononuclear cells in frail older patients

BackgroundFrailty increases the incidence of geriatric syndromes and even the risk of death in old adults. However, the diagnostic criteria for frailty are inconsistent because of complex pathological processes and diverse clinical manifestations. To determine the effective biomarker and recognize frail status early, we investigated the correlation of mitochondrial morphology and function of human peripheral blood mononuclear cells (PBMCs) with frailty status in older adults. MethodsThis Cross-sectional study followed 393 participants (aged 25–100 years, female 31.04 %) from the First Affiliated Hospital of Nanjing Medical University. The frailty status of subjects was assessed by the physical frailty phenotype (PFP) scale. We analyzed mitochondria functions including mitochondria copy number (mtDNAcn), the mRNA expressions of mitochondrial dynamics-related genes mitofusin 1(MFN1), mitofusin 2(MFN2), optic atrophy protein-1(OPA1), fission protein-1(FIS1) and dynamin-related protein 1(DRP1), mitochondrial oxidative respiration and reactive oxygen species(ROS) levels in PBMCs. Mitochondria morphology, size, and number were observed by transmission electron microscopy (TEM). ResultsAfter adjustment for sex and BMI, mtDNAcn, the mRNA expression of FIS1, mitochondrial respiratory function (proton leak, maximum oxygen consumption, and respiratory reserve) and ROS level were significantly correlated with age (P = 0.031, 0.030, 0.042, 0.003, 0.002, 0.022, respectively). After correcting for age, sex, and BMI, mtDNAcn and the mRNA expression of OPA1 were correlated with 4 m gait speed respectively (P = 0.003, 0.028, respectively). Compared with non-frail people, mtDNAcn, the mRNA expression of MFN1, mitochondrial basal respiration, proton leak, maximum oxygen consumption, ATP production and space capacity were significantly decreased in frail older adults (P = 0.013, 0.036, 0.026, 0.024, 0.012, 0.032, 0.020, respectively). ROS levels were significantly increased in the frail group (P = 0.016). Compared with non-frail people, the number, length, and perimeter, area of mitochondria were reduced in frail group under TEM (all P < 0.001). ConclusionMitochondrial dysfunctions (decreased mtDNAcn, impaired mitochondrial morphology, imbalanced mitochondrial dynamic, impaired mitochondrial respiratory function, and increased ROS levels) were significantly correlated with frail status.

Performance analysis and optimization of a zero-emission solar-driven hydrogen production system based on solar power tower plant and protonic ceramic electrolysis cells

The solar-driven high-temperature steam electrolysis is promising for efficient large-scale H2 production. In this study, a comprehensive component-to-system model and optimization framework is developed to investigate the performance of a zero-emission H2 production system based on solar power plant and protonic ceramic electrolysis cell. Compared to previous system studies, the detailed description of cell internal operating characteristics is realized by integrating multi-physics simulation and artificial neural network. After parametric analyses, it is found that the system energy/exergy efficiency and co-generation performance are complicated by each subsystem. And the optimal system performance (ηth = 50.63 %, Z = 179.63 $·h−1 and ηex = 33.03 %, Z = 178.94 $·h−1, with LCOE = 0.172 $·kWh−1 and ZH2 = 6.497 $·kg−1) is obtained considering cell operating features and system energy-exergy-economic factors through multi-objective optimizations. Besides, the tradeoff between system maximum H2 production capacity and cell internal thermal conditions is revealed. This study can facilitate the development of zero-emission green H2 production driven by renewable energy.

Analyzing the Negative Impact of Supply Chain Regionalization

In response to increasing global trade, IKEA implemented a more efficient supply chain strategy and introduced a new policy in 2011 to localize its supply chain. The objective of this inquiry was to examine the alterations in supply chain management. Following the transition from centralized to regionalized supply chains, corporations faced adverse consequences such as decreased operational efficiency, increased operating expenses, and reduced adaptability in meeting market needs. These implications include increased complexity in supply chain management, decentralized operating models that result in repeated investments in fixed assets, and trade restrictions that create challenges in integrating information. The article proposes implementing efficient management systems, enhancing collaboration with local suppliers, and utilizing artificial intelligence to optimize the structure of the supply chain based on the observed impacts and outcomes. The objective is to offer risk management guidance for firms that have reached maximum production capacity and require a shift in their supply chain management methods.

Analyzing the Negative Impact of Supply Chain Regionalization

In response to increasing global trade, IKEA implemented a more efficient supply chain strategy and introduced a new policy in 2011 to localize its supply chain. The objective of this inquiry was to examine the alterations in supply chain management. Following the transition from centralized to regionalized supply chains, corporations faced adverse consequences such as decreased operational efficiency, increased operating expenses, and reduced adaptability in meeting market needs. These implications include increased complexity in supply chain management, decentralized operating models that result in repeated investments in fixed assets, and trade restrictions that create challenges in integrating information. The article proposes implementing efficient management systems, enhancing collaboration with local suppliers, and utilizing artificial intelligence to optimize the structure of the supply chain based on the observed impacts and outcomes. The objective is to offer risk management guidance for firms that have reached maximum production capacity and require a shift in their supply chain management methods.

Borehole Condition and Limit Pressure Differential Analysis in Carbonate Reservoirs

In deep carbonate reservoirs, testing and production with open-hole completion can help release the maximum production capacity. However, because the reservoir is subjected to high in situ stress, if the test pressure differential is too large, the wellbore collapse and instability will occur easily, causing downhole accidents. Therefore, it is necessary to determine the state of the borehole during the open-hole test in the carbonate reservoir and analyze the ultimate test pressure differential accordingly to ensure test safety. Considering the characteristics of open-hole completion, based on the mechanical properties of the carbonate reservoir and the stress distribution around the borehole during testing, a calculation method of the elastic zone, plastic zone, and residual failure zone around the open-hole wellbore was proposed. Regarding actual engineering data, a criterion for the overall stability of the open-hole section had been established from three aspects: the volume ratio of the plastic zone; the failure zone around the wellbore; and the failure angle on the borehole wall. According to this criterion, it is possible to determine the ultimate pressure differential during the open-hole test process and provide theoretical support for designing the open-hole completion test and production parameters for deep carbonate reservoirs.

Consequences of the Direct Reduction and Electric Steelmaking Grid Creation on the Italian Steel Sector

The consequences on the Italian steel sector following the conversion of the sole integrated steel plant and the establishment of a direct reduction/electric arc furnace (DR/EAF) grid in the period 2022–2050 were analyzed. Imported natural gas (pathway 0), green hydrogen (pathway 1) and biomethane (pathway 2) were studied as possible reducing gases to be exploited in the DR plant and to be introduced as a methane substitute in EAFs. The results showed that the environmental targets for the sustainable development scenario could be achieved in both 2030 and 2050. In particular, the main reduction would occur by 2030 as a result of the cease of the integrated plant itself, allowing for an overall reduction of 71% of the CO2 emitted in 2022. On the other hand, reaching the maximum production capacity of the DR plants by 2050 (6 Mton) would result in final emission reductions of 25%, 80% and 35% for pathways 0, 1 and 2, respectively. Finally, the creation of a DR/EAF grid would increase the energy demand burden, especially for pathway 1, which would require three times as much green energy as pathway 0 and/or 2 (36 TWh/y vs. ca. 12 TWh/y).

PRODUCTIVE BEHAVIOR OF DIFFERENT SOYBEAN GENOTYPES IN THE WESTERN REGION OF PARANÁ

The agribusiness sector is responsible for the largest percentage of the Brazilian GDP; nevertheless, agricultural activities have a low return rate and a high cost risk. To meet the financial needs of producers and agribusiness sectors, the choice of the genotype to be planted in commercial areas is one of the first decisions to be made. This study aimed to evaluate the production components of five different soybean genotypes in the western region of Paraná in the 2022/2023 season under standardized planting conditions. The experimental design used was a randomized complete block (RCB) with 5 treatments and 4 replications, totaling 20 experimental plots. The treatments consisted of planting different soybean genotypes (M 6100 XTD, AS 3615 I2X, P 96R10 IPRO, DM 60IX64 RSF I2X, and M 6110 I2X), all of indeterminate growth and early maturity. The genotypes AS 3615 I2X, DM 60IX64 RSF I2X, and M 6110 I2X have the Intacta2 Xtend technology, while M 6100 XTD has the Xtend Biotec technology, and P 96R10 has the Intacta RR2 PRO technology. Furthermore, all materials belong to the relative maturity group (GMR) 6.1, except for DM 60IX64 RSF I2X, which is in the GMR 6.0 group. The following parameters were evaluated: plant height (AP), number of racemes (NR), number of pods per plant (NVP), number of grains per pod (NGV), thousand-grain weight (MMG), productivity (PROD), and vegetative index (IV). After measuring the mentioned parameters, the results were subjected to the Tukey statistical test to compare the means, where significant differences (p&lt;0.05) were observed among the genotypes (M 6100 XTD, AS 3615 I2X, P 96R10 IPRO, DM 60IX64 RSF I2X, and M 6110 I2X) for the morphological and productive variables NGV, MMG, and IV. For the productive component NGV, the genotype P 96R10 IPRO had the lowest mean (2.32 grains per pod) compared to the others. However, the same genotype had a higher mean MMG (153.59 g) when compared to AS 3615 I2X and DM 60IX64 RSF I2X. The variables that showed significant differences among the genotypes did not affect the final PROD of the experiment's genotypes because the evaluated genotypes have a high production capacity but different technologies. As there was no chemical management disruption, significant pest and disease attacks, or adverse weather conditions, all genotypes were able to develop their maximum production capacity.

Analysis and optimization of industrial engineering and management operating environment based on human factors engineering

Abstract In today’s society, which attaches great importance to humanization, human factors engineering has become a hot topic of research in industrial engineering to improve enterprises and factory sites. This paper aims to optimize the efficiency of industrial engineering by adopting industrial engineering (IE) methods, combing the methodological study of the production process and applying job measurement methods to improve engineering efficiency. The study results show that after the improvement of two-handed operation, the left and right-handed operation time is reduced to 25.78 seconds, which is 31.8% lower compared to the pre-improvement period. The overall process was optimized to minimize the bottleneck beat time from 1.379 seconds/piece to 1.333 seconds/piece, and the maximum production capacity increased from 51,308 pieces/day to 52,204 pieces/day. In addition, labor requirements in the industrial workflow were reduced by 20%, from 610 to 486 people. As for the improvement of the operating environment, the noise levels were kept below 73.9 dB(A), especially for the dust collector, which was significantly reduced from 86.4 dB(A) to 72.9 dB(A). This optimization of industrial engineering and its operating environment by applying human factors engineering principles ensures the production quality. It achieves the maximum output with minimum resource input, laying a solid foundation for the continuous optimization of industrial engineering.

AN ANALYTICAL STUDY OF PUBLIC HEALTH EXPENDITURE AND ECONOMIC GROWTH IN EASTERN STATES OF INDIA

This study examines a comparative analysis of the trend and pattern of healthcare expenditure in four major eastern states of India. The study is completely built on secondary sources of data from 1991 to 2020 taken from the RBI Database, the World Bank Database and various governmental reports. The study has used descriptive statistics, Log-linear regression, least square trend and graphical methods for analysis. This study shows the percentage share of total health expenditure to GSDP has an increasing trend. According to the regression analysis, health spending has a strong favourable effect on GSDP in the four eastern states of India. A rise in the state of health helps to accomplish the maximum productive capacity of human capital and thereby increase the productivity of market structure. So, sound health plays an significant role in the economic growth and development of a nation. This paper makes the case that governments should take immediate steps to produce alternative income from different sources including foreign grants and alternative tax revenue. KEY WORDS: Economic growth, Health- Expenditure, Regression, Time series

Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants

The true potential of artificial intelligence (AI) is to contribute towards the performance enhancement and informed decision making for the operation of the large industrial complexes like coal power plants. In this paper, AI based modelling and optimization framework is developed and deployed for the smart and efficient operation of a 660 MW supercritical coal power plant. The industrial data under various power generation capacity of the plant is collected, visualized, processed and subsequently, utilized to train artificial neural network (ANN) model for predicting the power generation. The ANN model presents good predictability and generalization performance in external validation test with R2 = 0.99 and RMSE =2.69 MW. The partial derivative of the ANN model is taken with respect to the input variable to evaluate the variable’ sensitivity on the power generation. It is found that main steam flow rate is the most significant variable having percentage significance value of 75.3 %. Nonlinear programming (NLP) technique is applied to maximize the power generation. The NLP-simulated optimized values of the input variables are verified on the power generation operation. The plant-level performance indicators are improved under optimum operating mode of power generation: savings in fuel consumption (3 t/h), improvement in thermal efficiency (1.3 %) and reduction in emissions discharge (50.5 kt/y). It is also investigated that maximum power production capacity of the plant is reduced from 660 MW to 635 MW when the emissions discharge limit is changed from 510 t/h to 470 t/h. It is concluded that the improved plant-level performance indicators and informed decision making present the potential of AI based modelling and optimization analysis to reliably contribute to net-zero goal from the coal power plant.

Applying AHP-IFNs-DEMATEL in Establishing a Supplier Selection Model: A Case Study of Offshore Wind Power Companies in Taiwan

Offshore wind power has emerged as a relatively new industry in Taiwan in recent years. Energy companies strive to achieve maximum production capacity and product lifespan at the lowest cost. Therefore, selecting the most suitable supplier is a primary objective. This research has identified 23 evaluation criteria for supplier selection based on a literature review. By employing the Analytic Hierarchy Process (AHP), individual weights were assigned to each criterion. Subsequently, the Intuitionistic Fuzzy Numbers Decision Making Trial and Evaluation Laboratory (IFNs-DEMATEL) method was used to analyze the 11 criteria with weights higher than the average, thereby exploring the overall causal relationships. Additionally, by utilizing the four quadrants of the Influential Relation Map (IRM), offshore wind power suppliers can adjust resource allocation to maximize benefits. The findings of this research can provide recommendations for offshore wind power shipping companies in their supplier selection and resource allocation. Furthermore, offshore wind power suppliers can adjust their development criteria and enhance their competitiveness based on the criterion weights and the analysis derived from the Influential Relation Map.

Improving energy efficiency during LNG plant turndown operation

The Karratha Gas Plant (KGP) is one of the most advanced, integrated gas production systems in the world, producing liquefied natural gas (LNG), domestic gas, condensate and liquefied petroleum gas (LPG). The KGP has an export capacity of 16.9 Mtpa, with five LNG processing trains, two domestic gas trains, six condensate stabilisation units and three LPG fractionation units. Following more than 35 years of production from North West Shelf (NWS) fields, the KGP has entered an operating phase where it is more frequently operating in turndown operation. The energy intensity of an LNG production train is often the lowest at maximum production capacity. Should the LNG train become feed gas constrained for extended periods of time, energy intensity increases due to baseload energy required to run the process equipment and physical constraints on equipment turndown. A structured approach has been applied at the KGP to realise improvements in energy intensity in turndown operation through building a strategy, identifying focus areas, energy accounting and benchmarking, data presentation, review and improve cycles, and leadership. The strategy and focus areas are linked to specific actions across different operating timeframes. Review and improve cycles, and leadership help to cultivate an energy efficiency-focused culture and continuous identification of opportunities and barriers to the strategy. Central to all pillars of the strategy is energy accounting, benchmarking and data visualisation which provide value, performance and materiality insights. The benefits can often be realised with limited financial and resource investment, can provide high value return on both emissions performance and reduced fuel consumption.

Mass production of ultra-pure NaI powder for COSINE-200

COSINE-200 is the next phase experiment of the ongoing COSINE-100 that aims to unambiguously verify the annual modulation signals observed by the DAMA experiment and to reach the world competitive sensitivity on the low-mass dark matter search. To achieve the physics goal of the COSINE-200, the successful production of the low-background NaI(Tl) detectors is crucial and it must begin from the mass production of the ultra-low background NaI powder. A clean facility for mass-producing the pure-NaI powder has been constructed at the Center for Underground Physics (CUP) in Korea. Two years of operation determined efficient parameters of the mass purification and provided a total of 480 kg of the ultra-pure NaI powder in hand. The potassium concentration in the produced powders varied from 5.4 to 11 ppb, and the maximum production capacity of 35 kg per 2 weeks was achieved. Here, we report our operational practice with the mass purification of the NaI powder, which includes raw powder purification, recycling of the mother solution, and recovery of NaI from the residual melt after crystal growth.

Comparative analyses of holder pasteurization vs. HTST pasteurization for donor milk: a cost-minimization study applicable to human milk banks

BackgroundHigh-temperature short-time (HTST) pasteurization (72–75 °C, 15 s) is an alternative treatment to traditional Holder pasteurization (HoP) (62ºC, 30 min) for donor milk. HTST pasteurization guarantees the milk’s microbiological safety and retains more of its biologically and nutritionally active compounds, but the cost of implementing this technology for a human milk bank is unknown.MethodsA cost-minimization study was carried out on the facilities of a regional human milk bank in a public hospital. Total production costs (fixed plus variables) were quantified using HTST pasteurization and HoP in three hypothetical scenarios: (1) costs of the first 10 L of pasteurized milk in a newly opened milk bank; (2) costs of the first 10 L of pasteurized milk in an active milk bank; and (3) costs using the maximum production capacity of both technologies in the first two years of operation. The following costs were analyzed: health care professionals, equipment and software, external services, and consumables.ResultsIn scenario 1, the total production costs were € 228,097.00 for the HTST method versus € 154,064.00 for the HoP method. In scenario 2, these costs were similar (€ 6,594.00 for HTST pasteurization versus € 5,912.00 for HoP). The cost of healthcare professionals was reduced by more than half when pasteurization was carried out by the HTST method versus the Holder method (€ 84.00 and € 191.00, respectively). In scenario 3, the unit cost of milk pasteurized by the HTST method decreased from the first to the second year by 43.5%, while for the HoP method, it decreased by 30%.ConclusionsHTST pasteurization requires a high initial investment in equipment; however, it provides a significant minimization of production costs in the long term, pasteurizes large quantities of donor milk per working day and achieves a more efficient management of the time of the health care professionals in charge of the bank’s operation compared to HoP.

“Extreme utilization” theory and practice in gas storages with complex geological conditions

Based on more than 20-year operation of gas storages with complex geological conditions and a series of research findings, the pressure-bearing dynamics mechanism of geological body is revealed. With the discovery of gas-water flowing law of multi-cycle relative permeability hysteresis and differential utilization in zones, the extreme utilization theory targeting at the maximum amount of stored gas, maximum injection-production capacity and maximum efficiency in space utilization is proposed to support the three-in-one evaluation method of the maximum pressure-bearing capacity of geological body, maximum well production capacity and maximum peak shaving capacity of storage space. This study realizes the full potential of gas storage (storage capacity) at maximum pressure, maximum formation-wellbore coordinate production, optimum well spacing density match with finite-time unsteady flow, and peaking shaving capacity at minimum pressure, achieving perfect balance between security and capacity. Operation in gas storages, such as Hutubi in Xinjiang, Xiangguosi in Xinan, and Shuang6 in Liaohe, proves that extreme utilization theory has promoted high quality development of gas storages in China.

Exploring the Effects of Blockchain Scalability Limitations on Performance and User Behavior in Blockchain-Based Shared Manufacturing Systems: An Experimental Approach

This study investigates the effects of blockchain technology scalability limitations on the performance of Blockchain-Based Shared Manufacturing (BBSM), an innovative smart-manufacturing paradigm aimed at enhancing the utilization of global manufacturing resources via peer-to-peer (P2P) collaboration of self-organized manufacturing assets. Despite the prevalence of research highlighting blockchain technology’s scalability limitations as the main barrier for adoption, few studies have explored their effects on the operation of blockchain-based systems. The primary goal of the presented research work is to explore the implications of blockchain technology scalability limitations on the BBSM system’s performance and user behavior. To obtain realistic behavior, an experiment is conducted using an online game played by human participants. Analysis of the players’ strategy is used for implementation of a multi-agent simulation model, which is then employed to assess the influence of varying blockchain network configurations on the BBSM concept’s performance. Preliminary experimental findings reveal that a congested blockchain network leads to increased transaction costs and reduced service prices, consequently devaluing the manufacturing role in the BBSM system and causing underutilization of existing maximum production capacities. Moreover, allocating funds to financial activities rather than manufacturing activities yields superior outcomes for system users. Simulation results indicate that the BBSM system’s response to alterations in blockchain network throughput is contingent upon the production function. The findings of this study reveal that the scalability limitations of blockchain technology impair the performance of the BBSM system and affect user behavior in the system, underscoring the necessity for future research to concentrate on incorporating scalable solutions within blockchain-based manufacturing systems.

Indicator framework for large-scale cacao (Theobroma cacao L.) in vitro plant production planning and controlling

Somatic embryogenesis (SE) is considered the most suitable and integrated biotechnology for the large-scale production of clonal cacao plants compared to conventional methods. Hence, the scale-up of relevant technologies must be interfaced with effective and efficient management of productive processes at an industrial scale like biofactories. Production facilities like biofactories serve to transform plant resources into products like plantlets. This technology constitutes an essential innovative variant since it allows obtaining high multiplication coefficients in short periods. Currently, there is no reference to carrying out adequate planning of the entire production process; for this reason, it is not used for the maximum production capacity of the facilities, and there is a high level of uncertainty. With the aid of production planning and controlling (PPC) systems, inputs can be planned to achieve a determined output of products. Therefore, this work proposes a production planning and controlling (PPC) system for SE cacao plantlet multiplication through the pilot large-scale. This paper presents input and output information considering the leading indicators of the production process, like materials, labor, quality, and performance. Emphasis is placed on technical details on the production process of 100.000 plantlets in batches from the CCN51 genotype. Through the model analysis, challenges and requirements for PPC system have been defined as a basis for future works and will have successfully managed the production process. Keywords: Commercial-scale propagation, cost of production, indicators, somatic embryo, vegetative propagation.

Optimizing the parameters of microbial fuel cells using response surface methodology to increase Cr(VI) removal efficiency and power production

Cr(VI) is present naturally as Cr2O72- and its negative charge repels electrons (e-), preventing direct reduction to Cr(III). The Cr(VI) reduction process consumes H+ , suggesting that conventional Cr(VI) reduction techniques a strictly require a low pH, increasing their cost. Therefore, the development of a process that enables Cr(VI) reduction at neutral pH conditions is of interest. In this work, Cu(II) was used as an electron shuttle medium in a microbial fuel cell (MFC). The effects of MFC operating conditions, such as Cu(II)/Cr(VI) ratio, substrate (sodium acetate) concentration and external resistance on the power density (PD) and Cr(VI) removal efficiency were investigated using the response surface methodology (RSM). The maximum Cr(VI) removal efficiency (73%) and power production capacity (30.57 mW/m2) were achieved under pH-neutral conditions with a Cu(II)/Cr(VI) ratio of 1.65, a substrate concentration of 1.36 g/L, and an external resistance of 1360 Ω. The Cr(VI) removal efficiency of the MFC system without added Cu(II) was only 43%, and the power production capacity (15.85 mW/m2) was only half of that under optimal conditions. The removal efficiency of Cu(II) was 100% after seven days. Chromium and copper deposits were observed on the cathode surface, indicating that Cu(II) was deposited on the cathode surface following Cr(VI) removal, eliminating the secondary contamination that is caused by the addition of excess Cu(II). An RSM-optimized MFC system exhibits improved chemical oxygen demand removal, Coulombic efficiency and normalized energy recovery (NER). Its NER is at least 1.5 times higher than that of an unoptimized MFC system, indicating that the MFC most efficiently converts substrates into electrons when the operating conditions are optimized. This work demonstrates that Cu(II) plays a critical role as an electron-shuttle mediator in the removal of Cr(VI). The electron transfer function of Cu(II) increases the efficiency of the reduction that involves Cr(VI), electrons and H+, and eliminates the cost of adding acidic agents, as required in the conventional method in wastewater treatment. The obtained Cu(II)/Cr(VI) ratio is used to determine the maximum amount of Cr(VI) that can be removed by a scaled-up MFC system.

Financial Feasibility Analysis of Salted Anchovy Processing on Pasaran Island, Bandar Lampung

The purpose of this study was to determine the financial feasib anchoviesility, and sensitivity of salted anchovy processing business on Pasaran Island, Bandar Lampung City. Data collection was carried out from November to December 2021. The research method used was a survey and the selection of research sites was carried out purposefully (deliberately). Sources of data are obtained from the interview process using questionnaires. The analytical method used is investment criteria and descriptive-quantitative analysis. The results showed that the financial analysis carried out on the processing of salted anchovy on Pasaran Island, Karang City Village, Teluk Betung Timur District, Bandar Lampung City was profitable and feasible to continue, with investment criteria indicators: NPV is IDR 12,450,776,125.40, Net B /C is 11.82, Gross B/C is 1.18, IRR is 125.16% and PP is 2.84 years. The sensitivity analysis of salted anchovy processing on Pasaran Island, Karang City Village, Teluk Betung Timur District, Bandar Lampung City shows that the business is sensitive to changes in certain conditions. At a 4.8% increase in production costs, the business is still feasible to continue, while when there is a 10% decrease in the amount of production, a 14.45% decrease in selling price, the business is not feasible to continue. Owners should increase the number of production equipment to achieve maximum production capacity and expand the market to increase target consumers.

Enumeration optimization of open pit production scheduling based on mobile capacity search domain

The optimization of open pit mine production scheduling is not only a multistage decision-making problem but also involves space–time dynamic action among multiple factors, which makes it difficult to optimize production capacity, mining sequence, mining life, and other factors simultaneously in optimizing design. In addition, the production capacity is disorderly expanded, the calculation scale is large, and the optimization time is long. Therefore, this article designs a mobile capacity search domain method to improve computing efficiency without omitting the optimal production capacity. At the same time, taking the maximum net present value as the objective function, an enumeration method is used to optimize the possible paths in different capacity domains and calculate the infrastructure investment and facility idle cost required to meet the maximum production capacity on each possible path to control the disorderly expansion and violent fluctuation of production capacity. The research shows that the open pit mine production scheduling optimization algorithm proposed in this article can not only realize the simultaneous optimization of the three elements of production capacity, mining sequence, and mining life but also improve the computing efficiency by 200 times. Furthermore, the production capacity fluctuation is less than 1.4%. The mining life of the mine is extended by 13 years, and the overall economic benefit is increased by 18%.