Total Production Cost Research Articles

SOCIOECONOMIC DYNAMICS AND PROFITABILITY DRIVERS IN BROILER CHICKEN PRODUCTION IN SABON GARI LOCAL GOVERNMENT AREA OF KADUNA STATE, NIGERIA

This study investigated the socioeconomic dynamics and profitability drivers in broiler chicken production in Sabon Gari Local Government Area (LGA) of Kaduna State, Nigeria. Multi-stage sampling procedure was used in selecting one hundred and fifty (150) broiler chicken producers. Primary data were collected through the use of a structured questionnaire. Tools of analysis used were descriptive statistics, farm budgetary techniques, and the multiple regression model. The socio-economic characteristics of the producers revealed a mean age of 44 years, with the majority (62.50%) of the producers being male. The broiler farmers had one form of education or another, with a mean flock size of 213 birds. It was found that the percentage contribution of the purchase of feed to the total variable cost of production was the highest (45.79%), with a sum of ₦ 756.06 at average as the total cost incurred in the production of broilers was realized. Consequently, the return on Naira invested of ₦ 1.38 implies that for any ₦ 1 invested in broiler production, the farmers generated 38k. The results from regression analysis revealed that sex, age, farming experience, household size, education, and membership in cooperatives were the determinants of the profitability of broiler chicken production. It was concluded that broiler production in the study area was profitable and that several socio-economic factors significantly influence profitability. It was therefore recommended that producers consider joining cooperative membership to explore the benefits of cooperatives and leverage bulk purchasing discounts and knowledge sharing opportunities, potentially improving profitability for members.

Intelligent optimal sitting and sizing of distributed resources in presence of renewable energy and fuel cells based on reliability and emission factors

As the integration of renewable energy sources—such as wind, solar, and fuel cells—into power systems increases, challenges related to system reliability and cost efficiency become paramount. This paper examines the reliability of a standard power network composed of diverse energy sources including wind turbines, solar panels, fuel cells, batteries, and diesel generators. This paper proposes a novel hybrid optimization approach utilizing a Grey Wolf Optimizer combined with another advanced algorithm to minimize the total cost of energy production, inclusive of emission penalties for CO2, NO2, and SO2. The proposed approach is tested on IEEE 57-bus and IEEE 118-bus systems, demonstrating significant improvements over existing algorithms. Quantitative results show that our method reduces the total cost by up to 18 % and enhances system reliability by reducing voltage deviations in various scenarios by 12 %. The paper also provides insights into the optimal sizing and placement of wind turbines, photovoltaics, diesel generators, and fuel cells under different emission constraints (15000, 25000, and 45000 kg), further emphasizing the flexibility and effectiveness of our method in addressing environmental and economic challenges in modern power systems.

A novel exergy-based cost and carbon footprint allocation method in the multi-energy complementary system

Energy efficiency, economic cost and carbon emission of multi-energy complementary systems are three key indicators to sustainable development in the low-carbon background. This paper analyzes the coupling relationships between energy, cost, and carbon emission flows in a combined cooling, heating, and power (CCHP) system. The CCHP system consists of biomass gasification, co-firing internal combustion engine by product gas and natural gas, concentrated photovoltaic thermal solar collector, and absorption heat pump. A novel exergo-carbon method with exergo-economic analyses is proposed to determine the exergy cost and carbon footprint rate of each stream in the CCHP system, and the unit cost and carbon footprint of multiple products of electricity, cold energy and heat energy are obtained by the proposed method. The impacts of co-firing ratio and photovoltaic coverage ratio on energy and exergy efficiencies and cost and carbon footprint of products are analyzed. The sensitivity of biomass carbon footprint is performed to show its influences. The total cost of products including economic and carbon costs, is discussed to guide the carbon market's pricing strategies. Under the design conditions, the unit exergy cost of electricity, chilled water and hot water are 0.1094, 0.7659 and 0.466 $ (kWh exergy)−1, and their unit exergy carbon footprints are 0.3651, 3.9050, and 2.3780 kg CO2-eq (kWh exergy)−1, respectively.

Ripe for contracts? Estimating the impact of an avocado producer organization contract farming intervention

AbstractWe evaluate the impact of a producer organization avocado contract farming intervention in Kenya that included (1) an agreement to sell to an avocado exporting company, (2) access to training, and (3) support to gain group‐level Global Good Agricultural Practices (GLOBALG.A.P.) certification as main activities. Using a (nonexperimental) doubly robust difference‐in‐differences design with farm‐level panel data from 2015 and 2017, we show that farmers began selling to the contracted company, were recently trained and received the GLOBALG.A.P. certification. However, the intervention's uptake was less than perfect, especially concerning the procurement aspect of the contract, suggesting widespread side selling. In terms of outcomes, contract farming nevertheless significantly improved sales prices and reported quality, increased direct sales to companies, and led to more planted trees, but also increased total production costs. The effects are driven by the Hass avocado variety, which is in higher demand in export markets and the contracted avocado variety. No significant income and other welfare effects were found.

PROFITABILITY OF BATTERY CAGE BROILER PRODUCTION SYSTEMS IN UYO METROPOLIS, AKWA IBOM STATE, NIGERIA

The study assessed the profitability of battery cage broiler production systems in Uyo, Metropolis, Akwa Ibom State. Simple random sampling technique was used in selecting 100 poultry (broiler) farmers for this study. The data collected were cross-sectional data. Descriptive statistic was used to analysed the data. The findings depicted that majority (54%}) of the battery cage broiler producers were male. Also, the total cost, total revenue, gross margin and net farm income were N495469.46, N829,293.34, N335,459.88 and N 333,823.88 respectively. Feed cost representing 80.75% of total cost of broilers production. Despite the high feeds cost, battery cage system of broilers production is a worthwhile venture as depicted by profit of N333,823.88. The return on a naira invested was 0.674 meaning that for every N1 invested 67.4k was return as profit. Feeds cost and lack of funds were the primary determinants of profitability of battery cage broiler production systems. It is recommended that there should be subsidy on feed cost by the government and provision of credit facilities to farmers for increased productivity resulting profit maximisation.

Design of a decision support system to form optimal technological processes for parts machining based on artificial intelligence methods

The object of this study is the process of designing a decision support system for automating the formation of technological processes (TPs) for machining parts of high-precision equipment for the aviation industry. The task of improving the efficiency of the optimization of the process of mechanical processing of parts through the use of a decision support system (DSS) and artificial intelligence methods, which, unlike known analytical approaches, allow describing processes and phenomena that do not have strict formalization, has been solved. DSS consists of three subsystems. The first is an information subsystem for the automated formation of the structure in the technological process of machining parts of high-precision equipment. The second is an information subsystem for optimizing parameters of TP operations by cutting, taking into account the accumulation of tool wear. The third is a subsystem of control and adjustment of operating parameters. In the process of conducting research, an approach was devised for designing optimal technological processes to machine parts of high-precision equipment. The task of designing the structure of technological processes was solved using production rules. The task of determining the optimal parameters of turning and milling operations was solved in a multi-criteria statement. The following objective functions were used: cost of the operation, specific energy consumption for the operation, and productivity of the operation. At the same time, the wear of the tool accumulated over time was taken into account. The solution was obtained by searching for the Pareto-optimal solution using genetic algorithms and artificial neural networks. As a result of the work of DSS, an optimal technological process for machining parts of high-precision equipment for the aviation industry was formed, which made it possible to reduce the production time of one part by 5 % and reduce the total cost of production of the part by 14 %

Analisis Kelayakan Usaha Ternak Kambing Gibas Di Desa Nglumber Kecamatan Kepohbaru Kabupaten Bojonegoro

This research aims to analyze the income, profits and feasibility of the gibas goat farming business in Nglumber Village, Kepohbaru District, Bojonegoro Regency. This research used as informants 6 gibas goat entrepreneurs in Nglumber Village, Kepohbaru District, Bojonegoro Regency. The analytical tools used in this research are total production costs, revenues, profits and business feasibility. The results obtained from this research are that the average total production costs incurred are IDR 112,362,000 month, the average revenue obtained is IDR 79,916,667/month, and the average profit obtained is IDR 9,430,461/month. The results of calculating 3 (three) feasibility parameters for 6 gibas goat livestock entrepreneurs in Nglumber Village, Kepohbaru District, Bojonegoro Regency, can be seen that the R/C ratio obtained an average value of 1.3 > 1, the B/C ratio obtained an average value equal to 0.13 > 0, and ROI obtained an average value of 7%. Therefore, the gibas goat farming business in Nglumber Village, Kepohbaru District, Bojonegoro Regency is feasible.

Thermodynamic modeling and performance analysis of chemical looping gasification combined with steam reforming for municipal solid waste: An Aspen Plus approach

Chemical looping gasification combined with steam reforming (CLG-SR) holds great promise for improving energy efficiency and streamlining the production of renewable H2 and synthetic fuels. In this investigation, the process underwent simulation and analysis using Aspen Plus, offering valuable insights into product outcomes, environmental impacts, and economic performance. The accuracy of the model was validated against experimental results from the literature, yielding a root mean square (RMS) of 4.17 %, thereby demonstrating its high feasibility. The findings demonstrate that within the temperature range of 700–800 °C, H2 achieves notable selectivity, reaching 60.68 % selectivity at 700 °C. When the steam-to-municipal solid waste (MSW) ratio surpasses 0.9, H2 demonstrates elevated selectivity. Notably, it is crucial to observe that the selectivity of CO2 also escalates concurrently with that of H2. Specifically, at steam-to-MSW ratio (SMR) of 0.9, the selectivity of H2 attains 60.72 %, whereas the selectivity of CO2 attains 27.69 %. Under these parameter conditions, H2, purified through pressure swing adsorption (PSA), constitutes 68.59 % of the total input H elements, leading to an impressive energy efficiency of 47.76 %. The economic analysis, based on the model, discloses a material consumption of 7.40 tons per ton of H2, resulting in a total production cost of 2487.20 USD per ton of H2. The study bears paramount strategic significance for advancing the in-depth research and development of chemical looping gasification technology.

Scouring erosion resistance of metallic materials with composite microstructures

Slurry erosion can cause severe damage and often constitutes a significant portion of the total production cost in many industries such as oil sands and mining. The most commonly used materials for such applications are metallic materials having a composite microstructure consisting of hard reinforcement phases in a more ductile metal matrix. Typical examples are high chromium white irons and tungsten carbide welding overlays. The main purpose of this work is to evaluate the scouring erosion resistance of such materials for applications in handling fine sand slurries and to introduce a wear model to help understand the correlation between erosion resistance and the characteristics of microstructures.Five high chromium white cast irons and four spray and fusion coatings composed of cast tungsten carbide particles and Ni–Cr–B–Si–Fe matrix have been studied using a Coriolis scouring erosion tester in a fine sand slurry. The relationship between the erosion resistance and different microstructure parameters was explored. For the chromium white cast irons, the erosion resistance increased with increase in carbide volume fraction but the spray and fusion coatings showed the opposite trend, i.e., their erosion resistance decreased with increase in the carbide volume fraction. No clear correlation was found between erosion resistance and free path for the spray and fusion coatings while for the chromium white cast irons, the erosion resistance was found to increase rather than decrease with increase in free path.To help explain the experimental results, a wear model has been proposed for the wear resistance of composite microstructures composed of a reinforcement phase (RP) and a metal matrix. In the model, the wear surface of the material is distinguished by four different features/regions, each having unique wear resistance. The rule of mixtures (ROM) for wear resistance is applied to formulate the wear resistance of the material with the above four wear surface features. It is shown that the results can be reasonably well explained based on the proposed model by using the total edge length, L, of the RP particles exposed on a unit area of the wear surface.

Optimisation method of product family supplier selection based on data mining under carbon neutral policy

The carbon neutral policy restrains the carbon emissions of product family manufacturers, which incurs additional costs for manufacturers. In previous studies of product family supplier selection, the dilemma of carbon neutrality faced by manufacturers was rarely researched. Therefore, this study puts forward an intelligent optimisation method for product family supplier selection under carbon neutral constraints, which assists manufacturers in satisfying carbon neutrality constraints while minimising total production costs. Firstly, the data representation models of product family are constructed by using information ontology technology, and then the candidate suppliers that meet the manufacturer’s performance requirements are mined by semantic similarity. Secondly, by calculating the configuration cost and carbon footprint of the product family, the configuration cost-carbon neutral cost model (CC-CNC model) of the manufacturer is established with the goal of minimising the manufacturer’s total cost, and then the genetic algorithm is employed to solve the model, thus the optimal supplier selection scheme is mined. The feasibility of the proposed method is demonstrated by supplier selection for water-cooled fan product family, which guides the manufacturer to minimise the cost by selecting the best supplier scheme and taking reasonable carbon neutral measures, contributing to the manufacturer’s low-carbon production and economic benefits.

Design complexity based flexible order dispatching for additive manufacturing production

Understanding design complexity for additive manufacturing (AM) is essential in AM production planning since conventional make-to-order production for individual AM orders of complex designs can amplify operational uncertainty in an entire AM production system. As a response, this study aims not only to demonstrate the impact of design complexity on AM production but also to propose a novel order dispatching approach based on design complexity that mitigates operational uncertainty in an AM production system. First, a design complexity measure was developed using an information theoretic approach. Next, a discrete-event simulation model to represent an AM production system consisting of parallel AM machines for jet-engine bracket designs was built to identify the impact of design complexity on average order lead time and total production cost through regressions. Finally, a flexible order dispatching rule that reflects operational attitudes toward design complexity was proposed to determine part-processing priorities by tracking both part- and system-level design complexity states in a centralized queue for AM production. The proposed dispatching rule was compared with relevant static dispatching rules to assess its performance in operational efficiency under varied attitudes toward design complexity. The findings from this study clearly showed the negative impact of design complexity on operational performance for AM production. Moreover, the proposed dispatching rule resulted in lead time reduction and balanced lead time performance in AM production against alternative static dispatching strategies. This study demonstrates the importance of design complexity-based flexible operations to properly handle latent uncertainties in an AM production system.

Perbandingan Implementasi Sistem Bunga dan Sistem Bagi Hasil (Revenue Sharing)

This research discusses the use of capital production factors in an Islamic economic perspective with a comparative focus between the profit sharing system and the interest system. In Islamic economics, production activities are based on the motive and spirit of benefit, justice and blessing accompanied by limitations on Islamic economic principles. This research uses a descriptive qualitative method with a literature approach to find and explain choices of capital sources that are effective, efficient, and in accordance with the Islamic economic perspective in managing production costs and producer behavior in the context of Islamic economics. The research results show that the use of a profit sharing system is more effective in reducing total production costs compared to the interest system. Interest expenses in the interest system tend to increase total production costs which have an impact on reducing profits. The profit sharing system allows for a fair distribution of profits and losses between capital owners and capital managers, reduces the burden of production costs, and brings blessings in wealth management. Therefore, producers who adhere to Islamic economic principles tend to choose a profit sharing system rather than an interest system. This is because the profit sharing system is fairer and more effective in reducing production costs and is in line with Islamic economic values.

Recent progress of chromatographic techniques for antibody purification

Antibody drugs are becoming increasingly popular in disease diagnosis, targeted therapy, and immunoprevention owing to their characteristics of high targeting ability, strong specificity, low toxicity, and mild side effects. The demand for antibody drugs is steadily increasing, and their production scale is expanding. Upstream cell culture technology has been greatly improved by the high-capacity production of monoclonal antibodies. However, the downstream purification of antibodies presents a bottleneck in the production process. Moreover, the purification cost of antibodies is extremely high, accounting for approximately 50%-80% of the total cost of antibody production. Chromatographic technology, given its selectivity and high separation efficiency, is the main method for antibody purification. This process usually involves three stages: antibody capture, intermediate purification, and polishing. Different chromatographic techniques, such as affinity chromatography, ion-exchange chromatography, hydrophobic interaction chromatography, mixed-mode chromatography, and temperature-responsive chromatography, are used in each stage. Affinity chromatography, mainly protein A affinity chromatography, is applied for the selective capture and purification of antibodies from raw biofluids or harvested cell culture supernatants. Other chromatographic techniques, such as ion-exchange chromatography, hydrophobic interaction chromatography, and mixed-mode chromatography, are used for intermediate purification and antibody polishing. Affinity biomimetic chromatography and hydrophobic charge-induction chromatography can produce antibodies with purities comparable with those obtained through protein A chromatography, by employing artificial chemical/short peptide ligands with good selectivity, high stability, and low cost. Temperature-responsive chromatography is a promising technique for the separation and purification of antibodies. In this technique, antibody capture and elution is controlled by simply adjusting the column temperature, which greatly eliminates the risk of antibody aggregation and inactivation under acidic elution conditions. The combination of different chromatographic methods to improve separation selectivity and achieve effective elution under mild conditions is another useful strategy to enhance the yield and quality of antibodies. This review provides an overview of recent advances in the field of antibody purification using chromatography and discusses future developments in this technology.

Sensory Profile, Total Plate Count and Production Cost of Yogurt Made from Dairy Goat Milk Added with Ananas comosus and Cucumis melo Fruits

Sensory Profile, Total Plate Count and Production Cost of Yogurt Made from Dairy Goat Milk Added with Ananas comosus and Cucumis melo Fruits

The selection of appropriate rootstock and training system towards sustainable production of stone fruits

In stone fruit species, such as peach, cherry, apricot and plum labour requirement is important ranging from 45% to 71% of the total cost of production. In this sense, combining size controlling rootstocks as Rootpac® series, Isthara® and others in peach and plum, or Gisela® and Corette® series in cherry, with intensive bidimensional training systems based on central axis or bi axis resulted in earlier and higher yields, compared with the traditional open vase associated with vigorous rootstocks. The association of these intensive orchards with bidimensional canopies and good accessibility to canopy by labour and machines, is essential to reduce the cost of production. These canopies allow an efficient use of labour and mechanization. Regarding peach, under Ebro Valley (Spain) conditions, the reduction on total cost of production ranged from 15% to 20% and the harvest rate increased by 41%, enhancing also fruit quality due to better light distribution within the tree canopy. In cherry the increase of harvest rate increased by 72% when UFO was compared with the traditional open center. Regarding what in Washington State (US). With European and Japanese varieties, intensification by using Rootpac®20 rootstock and super high density plantings (SHD), allowed to get more than 40 t ha-1 in the third year in Ebro Valley (Spain). With ‘Agen’ European plum, using the same rootstock, under Chilean conditions training trees in a small hedge (SHD) allowed the full mechanization of the harvest by using over-the-row harvester or pedestrian harvest for the needs of fresh market. In this case, manual harvest efficiency increased by 49% compared with the traditional open vase. In all species, the use of size controlling rootstocks offers different options to growers when selecting the training systems concerning skilled labour requirements to train the trees in the first years. Thus, an increase was recorded when the number of axes increased from central axis to bi-, tri- and multi-axes. Furthermore, all these planar canopies were better adapted to the application of precision technologies based on artificial vision (AV) for monitoring pest and diseases, neural network and AV for fruit counting, yield forecasting and robotic harvesting.

Factors Affecting the Income Curly Red Chili Farmers in Bocek Village, Karangploso Sub-District, Malang Regency

Bocek Village. once produced 1.650 tons of red chillies in 2017. However. the problem that farmers often complain about is price fluctuations. which affect farmers' income. Other factors are land area. production yields. and production costs. The purpose of this study was to analyze the level of income. feasibility and factors that influence red chili farming income. This research is a descriptive-quantitative study with a population of 207 farmers and a sample of 37 farmers determined through simple random sampling through a questionnaire instrument and analyzed using the revenue formula (total revenue = production obtained x selling price). production cost formula (total cost = fixed cost + variable cost) . the revenue formula (revenue = total revenue – total cost). and the feasibility formula (R/C). The results of the study stated that the average level of red chili farming income at the research location was 129.609.150 per year. This was obtained from an average total revenue of 178.647.297 and an average total production cost of 49.038.147 per season or per year. Furthermore. the results of this farming feasibility assessment were declared feasible based on the value of the ratio of revenues and production costs of 3.64> 1.

Synthesis of transparent tin-doped indium oxide (ITO)-containing glass-ceramic coating by the sol-gel route for UV/NIR-shielding

Transparent glass-ceramic containing tin-doped indium oxide nano-crystalline phase was synthesized using the sol-gel method. The prepared sol, which was based on sodium aluminoborosilicate glass composition, was applied on soda-lime-silicate glass substrate through the dip-coating technique. Developing such glass-ceramics can offer several advantages, including reducing the total cost of production, enhanced chemical durability and a low-temperature synthesis process. The thermal behavior of the dried gels was investigated using simultaneous thermal analysis (STA), to determine the decomposition temperature of the nitrate salts in the gel, its glass crystallization temperature, and finally to optimize the heat treatment regime and optical properties as well. UV–Vis–NIR spectroscopy of the coated samples after heat treatment at 500 °C for 10 h revealed high visible transparency (T>70%) while indicating significant UV/NIR shielding, i.e. near zero and 10 % transmission, respectively. Phase analysis and crystallization behavior studies were conducted using XRD and FE-SEM to evaluate the morphology and size of the precipitated crystallites. According to the results, the optimum heating program for ITO crystallization was heating temperature and soaking time of 500 °C and 10 h, respectively. The undesirable crystalline phase of InBO3 was precipitated as the main crystalline phase by increasing the heat treating temperature to 550 °C. Furthermore, the glass structure was studied using FTIR spectroscopy demonstrating a highly polymerized glassy network for the coating. The effect of the precursors-to-solvent ratio during the synthesis process on the final optical properties was also investigated.

Ethnobotanical Study and Hedonic Evaluation with Cost Analysis of Banana (Musa paradisiaca L.) Stem Serum Preparation as an Anti-Aging Solution

In skincare, particularly facial serums, the utilization of natural ingredients is crucial in addressing various skin issues, notably combating the effects of free radicals that contribute to wrinkles. This study explores the potential of banana (Musa paradisiaca L.) stem extract as an active ingredient in serum formulation due to its rich anthocyanin content known for antioxidant properties. Hedonic testing and cost analysis serve as initial steps in the marketing mix of a product. This research aims to assess the hedonic preferences of various M. paradisiaca stem serum formulations and analyze the production costs. A descriptive research method employing survey and observational techniques was utilized for data collection and descriptive analysis. Hedonic testing was conducted to gauge the personal preferences of panelists toward M. paradisiaca stem serum formulations. Three formulations (F1 with 4%, F2 with 8%, and F3 with 12% M. paradisiaca extract) were evaluated by 40 panelists. Cost analysis of serum production employed quantitative descriptive analysis, computing the cost per unit using a variable costing method. The hedonic evaluation results showed that F1 formulation was highly preferred (79.3%), followed by F2 (73.2%), and F3 (66.8%). Cost analysis using the variable costing method revealed a total production cost of IDR 614,000.00 for 10 packages of M. paradisiaca stem serum formulation, translating to an approximate unit price of IDR 61,400.00.

KOMPARASI SISTEM TANAM JAJAR LEGOWO DAN KONVENSIONAL PADA PRODUKSI DAN PENDAPATAN USAHA TANI PADI SAWAH DI DESA KUIMASI KECAMATAN FATULEU KABUPATEN KUPANG

The Jajar Legowo planting system is a new innovation which in its application aims to increase production and income in lowland rice farming businesses when compared with Conventional planting systems, so this study aims to determine production and income and the magnitude of the difference in productivity and income from lowland rice farming using the Jajar Legowo and Conventional planting systems in Kuimasi Village, Fatuleu District, Kupang Regency. To find out the production and income of rice farming, it is necessary to calculate the farmer's income level using farming income analysis calculations. The results of this study (1) The total production cost of lowland rice farming in Kuimasi Village, Fatuleu District, Kupang Regency using the Jajar Legowo planting system is IDR. 8,420,754.3/Ha, total revenue of Rp. 41,250,000/Ha with an average income of Rp. 32,829,245.7/Ha and the total cost of lowland rice production using a conventional planting system is Rp. 7,258,456.3/Ha, total revenue of Rp. 52,500,000/Ha with an average income of Rp. 45,241,543.7/Ha. (2) The total production costs of lowland rice farming using the Jajar Legowo planting system and the conventional planting system have a difference of Rp. 1,162,289/Ha. The total revenue from rice farming using the Jajar Legowo planting system and the conventional planting system has a difference of Rp. 11,250,000/Ha. The average income using the Jajar Legowo planting system and the conventional planting system has a difference in income of Rp. 12,412,298/Ha in one planting season. Based on these calculations, it can be concluded that the total production costs using the Jajar Legowo planting system are greater than the total production costs using the Conventional planting system, but the total revenue and income using the Conventional planting system is greater than the total revenue and income using the Jajar Legowo planting system.

Logic-based Benders decomposition for order acceptance and scheduling on heterogeneous factories with carbon caps

We study an integrated order acceptance and scheduling problem for heterogeneous factories with carbon caps, order-dependent processing speeds, and setup times. Three joint decisions including order selection, order assignment and order sequencing are made to maximize profits, i.e., total revenue minus total production and tardiness cost. Firstly, we develop a mixed integer programming model to simultaneously optimize the three decisions and propose several dominance rules to enhance the model. Secondly, due to the particular structure of the problem, we propose a logic-based Benders decomposition (LBBD) method that decomposes the complicated original problem into a master problem and a number of subproblems. The master problem aims to determine order acceptance and order assignment, and each subproblem is for determining order sequencing in each factory. A branch and bound algorithm is then designed to quickly solve the subproblems. The branch and check framework is implemented to accelerate the solving process of the LBBD. Finally, numerical experiments verify that the proposed dominance rules play a promising role in enhancing the model, and the results of the algorithm comparison experiments show the significant advantages of proposed LBBD algorithm combined with the branch and check framework. Sensitivity experiments reveal that carbon cap serves as a major constraint on order acceptance.