Production Unit Research Articles

Analyzing the Effects of Government Subsidies on Dual-Channel Fresh Food Supply Chains with the Implementation of Blockchain Traceability Technology

With the rapid development of the social economy, consumer preferences have evolved significantly. Nowadays, consumers place a higher emphasis on product quality and origin. The challenge is to ensure effective supervision of the entire food production process, from farm to consumers' tables, and to address traceability and accountability issues when food safety problems arise. The emergence of blockchain technology offers a promising solution. Blockchain's decentralization and traceability capabilities can effectively monitor food status information. However, given the cost of implementing blockchain technology and the varying degrees of sensitivity consumers have to product quality and price, the question arises: should supply chains have strong incentives to adopt blockchain technology? This paper focuses on the fresh agricultural product supply chain, encompassing both online and offline retailers, and employs the Stackberg game model to examine the impact of blockchain technology adoption under a government subsidy scenario. The research findings of this article indicate that the decision to introduce blockchain technology by online suppliers is influenced by the cost associated with each unit of fresh products. Furthermore, government subsidies prove advantageous primarily for online retailers.

Application of the Lume Method to an Agroecological Horticultural System in Córdoba, Argentina

The Cordoba Green Belt, in Argentina, is a local food supply region that is reducing its surface area. Agroecology is established as a paradigm for the transformation of these agroecosystems, encompassing ecological, productive, social, cultural, and economic aspects. The Method of Economic-Ecological Analysis of Agroecosystems constitutes a proposal to evaluate the multiple aspects that intervene in decision-making in diversified family systems. In Córdoba, there are few studies that include the systematization of local information on horticultural production systems, which reflect diversity, productivity, and socio-economic impact in the agroecological transition process. The objective of the work was to evaluate the agroecological production unit of the Movement of Urban Farmers of Córdoba, from the Lume method. From the analysis of information, results were obtained that allowed sizing the production destined for self-consumption and the own production of inputs, and the great contribution of reciprocal relations. This allows valuing the non-monetary elements that give autonomy, identifying the limitations due to the high systemic costs of renting land and other services, and visualizing the gradual and sustained application of the principles of agroecology in a transition process.

Diversity of Fungal infections and Histopathological preparations of some economically important Fresh Water Fishes in Bhadra Reservoir Project, Karnataka, INDIA

Fungal infections are very serious diseases in culturable freshwater fishes. The present research work aimed to investigate the fungal infections in four economically important freshwater carps i.e. Catla catla, Labeo rohita, Cirrhinus mrigala and Cyprinus carpio which were collected from the Fish seed production unit at Bhadra Reservoir Project (BRP). The infected fishes were collected in polythene bags and brought for mycological study in the laboratory. The fungal strains were isolated using potato dextrose agar and Sabourd’s dextrose agar media. Out of 240 fishes, 168 (70%) infection have been recorded with six different fungal genera of Saprolegnia sp. (54.167%), Penicillium sp. (7.14%), Aspergillus sp. (14.285%), Trichoderma sp. (6.546%), Rhizopus sp. (4.167%) and Mucor sp. (13.695%). These fungi were frequently isolated and identified based on spore structure and morphological characteristics. The monthly variation and percentage of fungal infection in Catla catla was 35.10 %, Labeo rohita was 24.99%, Cirrhinus mrigala was 21.41% and Cyprinus carpio was 18.42%. Winter season (57.5%) and the rainy season (39%) was more favorable for the growth of Saprolegnia sp. than summer season (10%). Histopathological study was carried out to study the effect of Saprolegnia sp. on infected fish. Based on the results, Catla catla fishes were more susceptible to Saprolegnia sp. than other varieties of fishes.

Fracture Spacing Optimization Method for Multi-Stage Fractured Horizontal Wells in Shale Oil Reservoir Based on Dynamic Production Data Analysis

In order to improve the shale oil production rate and save fracturing costs, based on dynamic production data, a production-oriented optimization method for fracture spacing of multi-stage fractured horizontal wells is proposed in this study. First, M. Brown et al.’s trilinear seepage flow models and their pressure and flow rate solutions are applied. Second, deconvolution theory is introduced to normalize the production data. The data of variable pressure and variable flow rate are, respectively, transformed into the pressure data under unit flow rate and the flow rate data under unit production pressure drop; and the influence of data error is eliminated. Two kinds of typical curve of the normalized data are analyzed using the pressure and flow rate solutions of M. Brown et al.’s models. The two fitting methods constrain each other. Thus, reservoir and fracture parameters are interpretated. A practical model has been established to more accurately describe the seepage flow behavior in shale oil reservoirs. Third, using Duhamel’s principle and the rate solution, the daily and cumulative production rate under any variable production pressure can be obtained. The productivity can be more accurately predicted. Finally, the analysis method is applied to analyze the actual dynamic production data. The fracture spacing of a shale oil producing well in an actual block is optimized from the aspects of production life, cumulative production, economic benefits and other influencing factors, and some significant conclusions are obtained. The research results show that with the goal of maximum cumulative production, the optimal fracture spacing is 5.5 m for 5 years and 11.4 m for 10 years. All in all, the fracture spacing optimization and design theory of multi-stage fractured horizontal wells is enriched.

Performance of cryogenic oxygen production unit with exhaust gas bleed for sewage sludge gasification and different oxygen purities

Performance of cryogenic oxygen production unit with exhaust gas bleed for sewage sludge gasification and different oxygen purities

PERAN KELOMPOK TANI DALAM MENINGKATKAN PRODUKSI USAHATANI BAWANG MERAH

This research was conducted in Sumlili Village among two farmer groups, namely Kanaan and Berkat Usaha. The objectives of this research were to determine: 1) the characteristics of farmer groups in Sumlili Village, 2) the role of farmer groups in increasing shallot farming production in Sumlili Village, and 3) the factors associated with the role of farmer groups in increasing shallot farming production in Sumlili Village. The data used in this research consisted of primary and secondary data. The research method employed analytical tools such as Descriptive Analysis, Mean, Standard Deviation, and Spearman Rank. Microsoft Excel, SPSS, and a calculator were used as calculation software. The results of this research showed that: 1) Shallot farming in Sumlili Village was conducted on a total area of 3,400 ares (with an average area of 61.82 ares), resulting in a production of 49.24 tons and an average production of 0.014 tons per are or 1.4 tons per hectare. The production can be considered low compared to the national potential average of 15 tons per hectare for shallots. 2) The farmer groups played their roles based on three indicators, namely as a learning media (average score of 10.96), cooperation media (average score of 11.15), and production unit (average score of 10.44). All indicators showed that the farmer groups played a significant role with an average value of 10.82. 3) There was a significant relationship between the source of information factor and the role of farmer groups (0.038 < 0.05), and the facilities and production facilities factor also had a significant relationship with the role of farmer groups (0.049 < 0.05). However, factors such as farmers' age, land area, education level, farming experience, and the number of family dependents did not have a significant relationship with the role of farmer groups (p > 0.05)

Environmental impact of grass-based cattle farms: A life cycle assessment of nature-based diversification scenarios

Diversification is widely considered to positively influence the environmental sustainability of livestock farming. Multiple options exist to diversify cattle farms, but few have been examined at a systems level for grass-based livestock farms. Three nature-based diversification options recommended for livestock farms were examined in this study: mixed grass–white clover swards (GWC), organic farming (OFS) and agroforestry (AGF). They were applied on dairy and suckler calf-to-beef farming systems common in the Republic of Ireland. Both of these bovine systems were evaluated over a 3-year period (2017–2019) and were nationally representative. The environmental impact and resource use of dairy and suckler calf-to-beef systems were modelled using life cycle assessment (LCA). The system boundary of the LCA model extended from the extraction of raw materials to the sale of milk and cattle from the farm, i.e. cradle to farm-gate. Six of the major environmental impacts of cattle farming were simulated; global warming potential (GWP), non-renewable energy (NRE) depletion, land occupation (LO), acidification potential (ACP), freshwater and marine eutrophication potential (FEP and MEP). Impacts were scaled to the following functional units: land area, fat and protein corrected milk (FPCM) for dairy and carcass weight (CW) for beef. The result illustrated that GWC swards reduced the GWP of milk production by 9% and cut the GWP of beef LW by 3%. Per unit of product, this strategy decreased ACP by 4%–5%, NRE depletion by 13%–19% and LO by 6%–7%. However, it increased MEP by 5%–12% due to clover fixing more N than it replaced. Cattle farms based on GWC were more productive than conventional farms, but tended to increase impacts per hectare. Organic farming had the lowest environmental impacts per unit of land and reduced GWP and NRE depletion. Without carbon sequestration, organic farming had the opposite effect on GWP of FPCM and increased ACP and MEP per product unit. Declines in productivity in organic systems led to the rise in these impacts per unit of product and increases in LO relative to conventional systems. Partial conversion (10%–20%) of grassland to silvopasture decreased milk and beef output, and slightly improved environmental performance. Carbon sequestration was greater in silvopasture than in grassland, albeit LCA models struggle to accurately quantify the influence of management change on this process. This issue can be overcome through more field and modelling research on sequestration. Further research is also required on combining diversification options to optimise the environmental sustainability of cattle farming.

Clear or Real? The Transformation of a Japanese Business Group: How Does Ambiguity Produce Knowledge?

This study examines the sources of continuity and change in complex organizations characterized by multiple embeddedness. The case is built on a vertical business group of Japan’s shipping industry. In a grounded study, sampling was performed in collaboration with HR and, simultaneous data collection/analysis conducted by the author. Semi-structured interviews took place with middle and top managers in the Tokyo HQ and the London subsidiary across June and July, 2019. As a result, it is argued that ambiguity is systemically inherent in organizations – notably in business groups. Ambiguity is explicated as a knowledge production unit that possesses a structure/process duality. As structure, it upholds and reinforces the dominant logic by 1) defining the moment of truth: membership criteria, control matrix, allocation of resources, norms and standards, desired behaviors, activities etc. and, by 2) control and coordination: delineates the scope of allowed informal action, allocates time, space, processes to perform these. As a process, ambiguity is manifest in the autonomous informal action of socialized and acculturated actors. The integration of informally understood and formally codified structures and processes is found effective to sustain the status quo and, to provide for adaptive continuity: ambiguity’s utility reaches as far as facilitating and reinforcing implementation. The paradox of ambiguity’s inertial and constructive aspect is dissolved in a duality which is mobilized by the organizing purpose requiring action; inertia for stability and, its active aspect to attain continuity. Practical implications: management knowledge has overly emphasized clarity and has regarded ambiguity as a risk; a problem to be clarified. Ambiguity, however, is social control & coordination that can be integrated in the formal organization; culture and identity are often more effective than explicit controls in buying support from members for organizational goals and implementing these.

Economic production with Poisson demand, lost sales, fixed‐rate discrete replenishment, and a constant setup time

We address a production/inventory problem for a single product and machine where demand is Poisson distributed, and the times for unit production and setup are constant. Demand not in stock is lost. We derive a solution for a produce‐up‐to policy that minimizes average cost per unit time, including costs of setup, inventory carrying, and lost sales. The machine is stopped periodically, possibly rendered idle, set up for a fixed period, and then restarted. The average cost function, which we derive explicitly, is quasi‐convex sparately in the produce‐up‐to level Q, the low‐level R that prompts a setup, and jointly in R equals Q. We start by finding the minimizing value of Q where R equals 0, and then extend the search over larger R values. The discrete search may end with R less than Q, or on the matrix diagonal where R equals Q, depending on the problem parameters. Idle time disappears in the cycle when R equals Q, and the two‐parameter system folds into one. This hybrid policy is novel in make‐to‐stock problems with a setup time. The number of arithmetic operations to calculate costs in the ( Q, R) matrix depends on a vector search over Q. The computation of the algorithm is bounded by a quadratic function of the minimizing value of Q. The storage requirements and number of cells visited are proportional to it.

Digital transformation or not? Manufacturer's selection strategy under carbon cap-and-trade mechanism

Purpose The digital economy is profoundly transforming the manufacturing industry's fundamental concepts and value creation logic, making digital transformation (DT) strategy a crucial decision for manufacturers. And faced with increasingly severe environmental issues, DT may become an important means to achieve sustainable development. This paper mainly discusses the strategic choice of the manufacturer's DT and analyzes the impact of DT on carbon emissions.Design/methodology/approach Based on the carbon cap-and-trade mechanism, the authors have constructed two decision models to study the DT strategy of the manufacturer, further exploring the impact of the mechanism on the DT strategy and production strategy of the manufacturer. Finally, the authors discussed the effect of manufacturers' DT on their carbon emissions.Findings The authors found that the manufacturer should initiate DT to enhance their competitiveness, regardless of whether they are in a low digital technology scenario or a high digital technology scenario. Notably, DT can enhance the ability of the manufacturer to respond to external emergencies. In a low digital technology market scenario, both carbon emissions per unit of product and carbon price are positively affecting the digitization level of the manufacturer. In a high digital technology market scenario, the manufacturer will initiate a full degree of DT. Moreover, the impact of DT on total carbon emissions varies in markets with different levels of digital technology.Originality/value Innovatively, the authors divided the DT of the manufacturer into market scenarios with low digital technology and high digital technology. Provide the manufacturer with DT decisions according to different scenarios. At the same time, it verifies the uncertainty of DT on carbon emission and enriches the related research.

Implementation of the water footprint as a water performance indicator in industrial manufacturing units located in Greece: challenges and prospects.

Global water resources are under great pressure, so sustainable water and wastewater management is essential for every industrial unit. The water footprint (WF) is a multidimensional indicator of volumetric water use and pollution and is applied throughout the production cycle from the supply chain to the end user. The state-of-the art method of calculating the direct (operational) WF requires detailed records of water consumption and wastewater production per process, that are usually not available. In order to effectively implement the indicator, modifications to the standard calculation method are usually necessary, to meet the requirements and characteristics of each production unit. The present study focuses in three production units in Greece (i.e., cement, brewery, and natural cosmetics) and analyzes the modifications and assumptions required for the operational WF assessment, calculated for each production process where possible and for the whole unit. The WF assessment performed for the three case studies showed that both water consumption rates and operational WFs are within the lowest values (4.7 hL water/hL beer for brewery case study and 0.155 L/kg cement for cement case study) of the ranges reported in the international literature (4-8.8 hL water/hL beer and 0.14-0.413 L/kg cement). The total operational WF of the brewery after applying mass balances was calculated at 23.8 hL water/hL beer with virtual grey WF contributing at 79.7% and blue WF at 20.3%. For the cement manufacturing unit, using estimations from the plant operators and data from international literature, the total operational WF of the plant was assessed at 0.159 L/kg cement with blue WF contributing at 95.8%, green WF at 1%, and virtual grey WF at 3.2%. For the natural cosmetics unit, after modifying the system boundaries properly, the total operational WF was assessed at 81.6 L/kg bulk with virtual grey WF contributing at 88.8%. Through WF assessment, strategic actions could be identified to reduce water consumption and a benchmark could be provided to assess water performance between companies of the same branch.

Customizing customization in a 3D printing-enabled hybrid manufacturing supply chain

At-scale manufacture of customized products often requires both traditional processes and 3D Printing (3DP)-enabled additive manufacturing. Such hybrid manufacturing supports varying degrees of product customization achieved through variance in the mix of traditional and 3DP processes. Further, it supports the customization of the configuration of the 3DP-enabled supply chain. Our research investigates decision-making by 3DP manufacturers to obtain optimal profits based on the degree of customization. A two-echelon manufacturer-retailer supply chain that distributes customized products online and offline based on customers' channel preferences is considered. The Stackelberg Game model was used to study decision-making between the leader (manufacturer) and the follower (retailer). We analyzed two models: the centralized manufacturer-customized model and the decentralized retailer-customized model. The key findings of our study are as follows: Firstly, when the unit production cost is relatively small, it is optimal for the 3DP provider to offer consumers fully 3DP customized products. Secondly, with both the manufacturer-customized and the retailer-customized model, an increase in consumers' offline channel preference, will reduce the overall profits. Thirdly, in the retailer-customized model, the optimal selling price and profits are not affected by the ratio of the manufacturer's unit production cost and the total unit production cost. Finally, when the unit production cost increases with the customization degree, the optimal customization degree is relatively insensitive to potential market size changes. Our findings have practical relevance for firms seeking to gain a competitive advantage by deciding on the degree of customization and supply chain configuration strategies for 3DP manufacturing.

Increasing farm size is an effective way to decrease the carbon footprint in dairy cattle production.

The purpose of this study was to investigate the effects of the farm size on the carbon footprint of dairy cattle farms in Isparta province in Türkiye. For this purpose, face-to-face interviews were conducted with 159 farms which represent 1866 dairy cattle farms in Isparta province. The number of animals on the farm was converted into animal unit (AU) and the farms were divided into three groups. Accordingly, farms were classified as small, medium, and large farms. The carbon footprint produced per AU in the farm was the sum of feed, enteric fermentation, CH4 from manure, CO2 from manure, N2O from manure, and anthropogenic emissions. The milk produced in the farms was standardized according to 4% fat and 3.3% protein (FPCM) and the ratio of meat to milk was found by dividing the total live weight gain produced except for cows by FPCM. Accordingly, 65% of the greenhouse gas emissions of dairy farms were allocated to milk and 35% to meat. Of the total emissions, enteric fermentation and emission on feed contributed the highest proportion. Results showed that when using the IPCC (2021) global warming potential (GWP) values, the carbon footprint for 1 kg of FPCM milk was 1.26 kg CO2-eq on average, whereas the carbon footprint for 1 kg of meat was 11.78 kg CO2-eq on average. Results showed that as farm size increased carbon footprint for a kilogram of FPCM and meat decreased and this showed the effectiveness of farm size on decreasing carbon footprint per unit of product.

Prediction of production indicators of fractured-vuggy reservoirs based on improved Graph Attention Network

Various storage and seepage spaces exist in fractured-vuggy carbonate reservoirs composed of multi-scale dissolution pores and fractures. The frequent regulation of the working system causes nonlinear and unstable production data along with complex water breakthrough characteristics, which lead to difficulty in real-time prediction. Traditional methods based on the water drive curve and autoregressive machine learning ignore the spatial correlation among production wells and local geological characteristics. To address these problems, we propose a model based on improved attention, the spatiotemporal multi-graph convolutional network (STMCN), for production prediction. The unit production wells are abstracted as directed graph network nodes to establish adjacency, connectivity and correlation graphs to extract the spatial and semantic features from different perspectives through graph convolutional networks. To depict the law of fluid movement, we realize the fusion of spatial and semantic information through dynamic routing. Aiming at the autocorrelation characteristics of production sequences, the model uses the self-attention mechanism to capture the dependencies in production sequences. The gating mechanism is designed to achieve dynamic production prediction by adaptively aggregating the spatiotemporal characteristics. This paper evaluates the predictive performance of our model by two real-world datasets of the Tahe Oilfield. The results show that the mean absolute error (MAE), root mean squared error (RMSE), and mean absolute percentage error (MAPE) of our proposed model for the prediction of well A2 were 3.19, 4.66 and 0.07, respectively, which were better than the relatively new baseline model.

Principles of creating a digital twin prototype for the process of alkylation of benzene with propylene based on a neural network

Objectives. To identify the principles of creating digital twins of an operating technological unit along the example of the process of liquid-phase alkylation of benzene with propylene, and to establish the sequence of stages of formation of a digital twin, which can be applied to optimize oil and gas chemical production.Methods. The chemical and technological system consisting of reactor, mixer, heat exchangers, separator, rectification columns, and pump is considered as a complex high-level system. Data was acquired in order to describe the functioning of the isopropylbenzene production unit. The main parameters of the process were calculated by simulation modeling using UniSim® Design software. A neural network model was developed and trained. The influence of various factors of the reaction process of alkylation, separation of reaction products, and evaluation of economic factors providing market interest of the industrial process was also considered. The adequacy of calculations was determined by statistics methods. A microcontroller prototype of the process was created.Results. A predictive neural network model and its creation algorithm for the process of benzene alkylation was developed. This model can be loaded into a microcontroller to allow for real-time determination of the economic efficiency of plant operation and automated optimization depending on the following factors: composition of incoming raw materials; the technological mode of the plant; the temperature mode of the process; and the pressure in the reactor.Conclusions. The model of a complex chemicotechnological system of cumene production, created and calibrated on the basis of long-term industrial data and the results of calculations of the output parameters, enables the parameters of the technological process of alkylation to be calculated (yield of reaction products, energy costs, conditional profit at the output of finished products). During the development of a hardware-software prototype, adapted to the operation of the real plant, the principles and stages of creating a digital twin of the operating systems of chemical technology industries were identified and formulated.

An integrated data-driven modeling and gas emission constraints for large-scale refinery production planning framework

The accuracy of secondary unit models including fluidized catalytic cracking, catalytic reforming and delayed coking is essential for the refinery production planning. Through the reaction kinetics, it is clear well that feedstock composition directly determines the product yield of units. Therefore, a hybrid modeling framework was developed in this work, where the feed true boiling point temperature, hydrocarbon group composition, and critical properties were introduced to characterize the lumped kinetic composition of the three secondary units. These indicators were further employed to predict unit product yield, which were embedded in the hybrid models developed using a data-driven approach. This study proposed a production planning framework that coupled data-driven approach and gas emission constraints to improve profitability and reduce emission. Three refinery production planning examples were taken for illustration. The optimal scheme obtained with the proposed hybrid model was compared with that from method based on the fixed yield production planning models. The results demonstrated that the production planning based on the hybrid yield model could achieve an improvement of the refinery profitability by 21.75% and 22.88%. The production planning coupled gas emission constraints optimization scheme achieved reduction in CO2, SO2 and NOx emissions by 16.59%, 16.67% and 16.67% respectively.

Eco-efficiency analysis of rainfed and irrigated maize systems in Bosnia and Herzegovina

Abstract This study evaluated the eco-efficiency of rainfed and irrigated maize production in Bosnia and Herzegovina. Environmental impact assessments were performed through energy, carbon footprint, and water scarcity footprint analysis. For economic analysis, gross and net returns and benefit–cost ratios were calculated. Eco-efficiency was measured by the ratio between the net return and environmental criteria. The findings indicate that the transition from rainfed to irrigated maize cultivation per unit of land results in a 53.7% higher yield and gross value of production, but also a 69.8% increase in energy input, a 22% rise in greenhouse gas emissions, and a 3.6-fold increase in the water scarcity footprint. While a positive link exists in irrigated maize between higher yield and lower carbon footprint per unit of product, rainfed systems outperform in energy efficiency, productivity, profitability, water scarcity footprint, and overall eco-efficiency. Both systems rely heavily on nonrenewable energy sources, with fertilization (affecting energy and carbon footprint), mechanization (affecting carbon footprint), and irrigation (exacerbating water scarcity) as the main contributors to the negative environmental impacts. The implementation of optimization strategies for these inputs is of paramount importance to reduce environmental impacts and promote sustainability in maize farming in Bosnia and Herzegovina.

Does Quartile Matter? Investigating syntactic complexity of international publication

With the challenge of international publication, this study compares the syntactic complexity of Indonesian scholars' publications. The analysis covers 21 journal articles from two groups, from the journals with quartile and without quartile. Using 14 syntactic complexity measures, the results show that the journal articles with quartile have higher mean scores of syntactic complexity measures than the non-quartiles. However, significant differences only occur in three groups of measurement: Length of Production Unit, Coordination, and Degree of Phrasal Sophistication. The findings may show the performance gap between groups as the syntactical constructions of the journal articles with quartile surpass the non-quartile.

Platform financing vs. bank financing: Strategic choice of financing mode under seller competition

Third-party sellers on online platforms primarily rely on banks to meet their financing requirements and are often constrained by the lack of sufficient working capital. Online platforms such as Amazon and Alibaba have ushered new dynamics in the e-commerce financing landscape by offering working capital loans to these sellers, thereby directly competing with banks and influencing market competition. This paper analytically studies how the competition between third-party sellers on platforms affects the strategic financing choices of sellers, namely, platform financing (P) vs. bank financing (B). We examine how the financing choice influences sellers’ pricing decisions in the competitive product market. Based on the sellers’ financing choices, four lending modes are possible: BB, PP, BP, and PB. Our analyses provide critical insights on the optimal financing choices and uncover the interplay of pricing, product substitution, referral fees, and production costs. We show that any seller deviating from PP to a hybrid mode (BP/PB) leads to a higher platform interest rate and a lower seller profit. We find that the competing sellers choose a hybrid lending mode when the unit production cost is low. However, the platform always prefers PP, leading to an all-win outcome in the supply chain when the production cost is high. Furthermore, for products with low referral fees and high substitution effect, BP/PB emerges as the equilibrium mode, while for products with low referral fees and low substitution effect, PP is the equilibrium outcome. Interestingly, we find that both sellers may choose bank financing when their working capital levels are high.

THE PART OF THE PRODUCTION FOREST MANAGEMENT UNIT TO THE REALIZING SUSTAINABLE FOREST MANAGEMENT AT THE SARMI REGENCY PROVINCE OF PAPUA

This research to aims for to determine implementation of the Forest Management Production Unit role in realizing sustainable forest management in Sarmi Regency, and as well to find out the obstacles and solutions for unified Forest Management Production Unit in realizing sustainable forest management at the Sarmi Regency, Province of Papua. The method used in this research is sociological juridical research methods and/or empirical legal research. This method is used for the reason that in this research the emphasis is on legal science and the study of legal rules that apply in society related to forest management units. Sociological juridical research uses primary and secondary data. Primary data comes from interviews with sources and the public, while secondary data is obtained through references from literature studies in accordance with the title of this research. The results of the research show that, the role of the Forest Management Production Unit (KPHP) for region XXI across Sarmi and Memberamo Raya Regencies, on the one hand has made several positive contributions to economic development and regional development in Papua Province, but on the other hand the presence of KPHP has not had a direct impact on indigenous community around a forests, especially at site level. Likewise, the proposal for the formation of KPHP by the Sarmi Regency government to become a Regional Work Unit (SKPD), has not yet been realized due to many factors and indicators that must be met. Keywords : Role, Management Production Unit, Sustainable Forest Management.