Product Process Research Articles

Variable and Invariable, Explore the Value-Creation Techniques of Management Accounting by Benchmarking the Financial Management of Large Enterprises

With the development of information technology such as ChatGPT, artificial intelligence, 5G, and so on, technological innovation brings about a qualitative change in the economic business. This change is embodied in breakthroughs in the field of science and technology and the iterative upgrading process of products. The traditional business model undoubtedly fails to adapt to the management needs of modern enterprises, while traditional financial practices and knowledge reserves cannot meet these needs. Faced with sudden technological changes and the emergence of financial sharing, financial robots, etc., there is an urgent need for financial practitioners to transform from traditional financial accounting to value-creating management accounting. In the future, financial professionals with the ability to embrace uncertainty, adapt to environmental changes, and find breakthroughs in uncertain environments will be the most sought-after by enterprises. This paper aims to benchmark the excellent financial management models of large enterprises and conduct thematic research on financial management in large enterprises. It seeks to explore, in the era of big data management accounting, the road and art of creating value in enterprises. The objective is to provide references for colleagues in the financial field and to explore effective ways to generate value for enterprise management ideas, thus serving as a reference point in the financial transformation journey.

Energy saving design and control of side-streams reactive distillation configuration for diphenyl carbonate production process

Diphenyl carbonate (DPC), a phosgene-free precursor for polycarbonate production, has traditionally undergone industrial production through a well-established two-step transesterification process by a reactive distillation (RD) and a distillation column. Thermal enhancement techniques in RD, such as thermally coupled (TCRD) and hybrid heat-integrated (HIRD) methods, have consistently demonstrated significant improvements in energy efficiency, eliminating remixing effect and reducing total annual cost (TAC) during DPC synthesis. However, the combination of TCRD or HIRD with a side-stream configuration (SS) remains relatively underexplored, particularly in the context of DPC production. This study aims to address this gap by proposing a novel combination of TCRD/HIRD, incorporating both a one side-stream (SS1-TCRD and SS1-HIRD) and a two side-streams configuration (SS2-TCRD and SS2-HIRD). Employing a sequential iterative procedure for optimization, the study sought to minimize TAC. Results unveiled SS2-HIRD as the optimal configuration, showcasing a remarkable 47.27% reduction in energy consumption and a 31.46% decrease in TAC. Moreover, four proposed control structures (CS1∼CS4) were implemented for SS2-HIRD to ensure both product quality and process safety. Among all structures, CS4 exhibited remarkable efficacy in managing disturbances in feed and composition throughput, demonstrating the smallest integral of the absolute error (IAE) value.

Deep learning-based augmented reality work instruction assistance system for complex manual assembly

The manual assembly process of complex products is lengthy, the assembly requirements are difficult to recall, and the assembly quality requirements are high. The separation of the operation guidance information from the real physical object in the traditional paper manual easily distracts the operator, increasing their cognitive burden. To address this issue, we integrate augmented reality (AR) and artificial intelligence (AI) technologies for manual assembly assistance. A novel encoding and decoding convolutional neural network (CNN) is built to realize accurate AR registration under mark-less assembly environment. An assembly quality inspection method integrating a neural network and virtual model matching was proposed for AR systems. The specific process of the proposed method includes two stages: offline and online. In the first stage, a monocular RGB image dataset was built for assembling object keypoints and assembly object detection. CNN models were designed and trained for deployment in an AR-assisted assembly system. Second, the deployed CNN models were used to perform AR registration and assembly quality inspection. Experimental results demonstrate that the proposed method can accurately present AR work instruction guidance and assembly quality inspection for manual assembly. The proposed AR registration method can achieve a frame rate of 25FPS, which satisfies the timeliness requirements of the AR system. The accuracy rate of the proposed assembly quality inspection method for the MONA component assembly reached 92.5%.

Mechanism of the generation of benzaldehyde and benzoic acid on Pd (1 1 1) surface during the destruction of toluene: Verification of experiments and models

Catalytic oxidation technology is still the mainstream technology of VOCs treatment at present, and it is of great significance to study the main active components of catalysts and clarify the evolution and transformation process of intermediate products in the catalytic process for clarifying the reaction mechanism and guiding the catalyst design. Pd was identified as the main active component in catalytic oxidation of toluene, and the important intermediate products in the degradation of toluene, i.e., benzaldehyde and benzoic acid, were obtained through experiment and In-situ DRIFT spectra. However, the specific evolution process of intermediates is difficult to observe experimentally. The conversion of toluene on Pd (111) surface was studied by DFT calculation. Benzaldehyde was the most stable intermediate and benzoic acid was the most stable energy state of the reaction products. Then the activation energies and reaction energies of all possible reaction paths from toluene to benzaldehyde or benzoic acid were calculated, and the only transition state was obtained. Two pathways for the formation of benzaldehyde and benzoic acid were identified, in which the oxidation reaction after dehydrogenation may be the common rate-determining step of the two pathways, with a maximum energy barrier of 0.80 eV.

Effect of different salt precursors on zinc ferrite synthesis and their photo-Fenton activity

Polycrystalline and mesocrystalline zinc ferrite were successfully fabricated via a solvo-thermal method using different salt precursors. This study found that when iron sulfate salt was used as a precursor, polycrystalline zinc ferrite was formed. Polycrystalline zinc ferrite is a well-dispersed 400-nm sphere solid particle. Primary nano-crystals have highly preferred orientations; however, defects exist among the particles. When iron chloride salt was used as a substitute as a prime material, mesocrystalline zinc ferrite was synthesised. The products are shaped as hollow-spheres with an average size of approximately 500 nm and are composed of nano-crystal sub-units aligned in a highly oriented crystallographic structure. Zinc ferrite mesocrystalline samples have many voids, and the inter-spaces of their structure indicate the high porosity hollow-sphere architecture of zinc ferrite. The experimental results show that specific adsorption of Cl− and SO42− ions on the surface plays a crucial role during the growth process of products with different morphologies and crystallographic structures. Cl− adsorption on the surface may promote the formation of mesocrystal hollow-sphere particles; whereas, SO42− gives rise to polycrystalline solid spheres. The use of the as-prepared products as catalysts for the photo-Fenton degradation of Rhodamine B (RhB) with an H2O2 oxidant under visible-light irradiation and the effects of reaction conditions, including pH, catalyst amount and H2O2 contratentation on the removal of RhB, were investigated. The reuse of the catalysts and a possible catalytic mechanism were also proposed. These results indicate that mesocrystalline hollow-sphere zinc ferrite is a favourable catalyst for dye degradation photo-Fenton processes.

A meta‐analysis of the global growth and thermal inactivation parameters of Staphylococcus aureus for dairy products

SummaryStaphylococcus aureus is a prominent foodborne pathogen causing Staphylococcal food poisoning (SFP) in dairy products. This study estimated S. aureus growth and thermal inactivation kinetic parameters and variability in various dairy products by conducting a meta‐analysis. Cheese exhibited a lower theoretical minimum temperature (Tmin), indicating favourable conditions for S. aureus growth even at lower temperatures. Tmin values for other matrices ranged from 5.0 to 7.2 °C, providing insights for production parameter formulation. Meanwhile, significant variations in the maximum population density (Ymax) are among dairy products at the same temperature. Keeping temperatures below 0 °C in pasteurised milk, raw milk and cheese limited Ymax to approximately 102–4 CFU mL−1, below the international toxicity threshold. Factors influencing D values were smaller than strain variability, and NaCl concentration emerged as a significant factor affecting S. aureus growth. These parameters can serve as references for quality control, safety and production optimisation in dairy product processes.

Halal product guarantee system in powdered goat milk production house

The halal product guarantee system is a criterion that must be met in halal certification activities in order to guarantee and maintain the consistency of the halal product process so that it complies with applicable laws. Processing of powdered goat milk is carried out by adding granulated sugar and vegetable creamer to powdered goat milk products, which in the Decree of the Head of BPJPH No. 748 of 2021 includes critical materials that must have a halal certificate. The decree of the Head of BPJPH No. 57 of 2021 is a reference for the food processing industry. This practical work report aims to determine whether there are critical ingredients in the product and the efforts made in implementing the halal assurance system at powdered goat milk production houses. The problem-solving methodology used is observation, problem formulation, interviews, literature study, documentation, and checklist forms with evaluation criteria referring to the Decree of the Head of the Halal Product Guarantee Agency No. 57 of 2021. The evaluation results show that powdered goat milk production houses have implemented 74.2% of the criteria, and 25.8% of the criteria that have not been met are caused by the negligence of the workforce who do not use masks and gloves; the majority of production processes still use manual methods and a hot room.

Investigation in optimization of process parameters in turning of mild steel using response surface methodology and modified deep neural network

The turning operation is a traditional and conventional process for machining cylindrical materials to achieve a desired shape. During machining in the turning process, the accuracy and quality of the end product mainly depend on its process parameters. Therefore, this study attempts to achieve a quality product from a conventional lathe machine by optimizing its process parameters for En2-BS970 mild steel. The experiments were designed with the help of response surface methodology (RSM). The most influential turning parameters, such as feed rate, spindle speed, cutting fluid flow rate, and cutting angle, are investigated experimentally. In addition, the machining responses, namely material removal rate (MRR), surface roughness (SR), cutting force (CF), and cutting time (CT), have been optimized using the RSM numerical optimization method. Furthermore, a deep neural network (DNN) machine learning prediction model based on the whale optimization algorithm (WOA) is developed for this experiment in order to predict turning performances for En2-BS970 material. The predicted DNN results showed an accuracy of about 90% compared to experimental results, indicating that the implementation of WOA significantly optimized the DNN weights during training. The RSM optimized responses are obtained as 14.608 mm3/min for MRR, 0.7504 µm for SR, 442.94 N for CF, and 2.48 seconds for CT during the turning operation with input settings of 0.24 mm/rev, 466.535 rpm, 0.075 ml/s and 60.18° for feed rate, spindle speed, cutting fluid flow rate and cutting edge angle respectively.

New product family demand planning: AddressingSKU‐level spread bias

AbstractNew product supply chain planning is challenging, primarily due to the lack of historical demand data. Rarely, however, do the academic literature or companies differentiate the demand forecasting process for new products from existing ones, despite their increased reliance on judgmental estimates. This research focuses on how judgmental errors lead to an under‐estimation of the difference between the highest‐ and lowest‐demand stock‐keeping units (SKUs), and consequently negatively impact supply chain planning for new product family introductions. A generalized empirical model and accompanying discrete event simulation are developed and applied to data from a major consumer packaged goods (CPG) firm during the launch of a new cosmetics product family. This application allows us to identify a focal type of judgmental error (identified as the SKU‐level spread bias) inherent to new product forecasting and to provide a new theoretical understanding of how this type of bias harms supply chain performance. Via an empirically driven theory‐building approach that iterates between the simulation outcomes and existing literature, SKU‐level spread bias is demonstrated to harm demand forecasts and, thereby, supply chain plans. Our unique theory‐building approach advances theory by identifying planner SKU‐level spread bias as a new source of bias that firms should seek to mitigate when introducing new product families.

Antibody-Drug Conjugate Overview: a State-of-the-art Manufacturing Process and Control Strategy.

Antibody-drug conjugates (ADCs) comprise an antibody, linker, and drug, which direct their highly potent small molecule drugs to target tumor cells via specific binding between the antibody and surface antigens. The antibody, linker, and drug should be properly designed or selected to achieve the desired efficacy while minimizing off-target toxicity. With a unique and complex structure, there is inherent heterogeneity introduced by product-related variations and the manufacturing process. Here this review primarily covers recent key advances in ADC history, clinical development status, molecule design, manufacturing processes, and quality control.The manufacturing process, especially the conjugation process, should be carefully developed, characterized, validated, and controlled throughout its lifecycle. Quality control is another key element to ensure product quality and patient safety. A patient-centric strategy has been well recognized and adopted by the pharmaceutical industry for therapeutic proteins, and has been successfully implemented for ADCs as well, to ensure that ADC products maintain their quality until the end of their shelf life. Deep product understanding and process knowledge defines attribute testing strategies (ATS). Quality by design (QbD) is a powerful approach for process and product development, and for defining an overall control strategy. Finally, we summarize the current challenges on ADC development and provide some perspectives that may help to give related directions and trigger more cross-functional research to surmount those challenges.

Development of an Arduino-based Multi-Channel Temperature and Relative Humidity Data Acquisition System for Domestic and Industrial Applications

Losses incurred during postharvest processes of food and other agricultural products in the rural and some urban areas of West African countries have been attributed to poor thermal conditions of the indoor air. The quality of these products at storage or after thermal processes such as drying, cooking, frying, etc. has been identified to be majorly dependent on the temperature and humidity of the air. The objective of this study was therefore to develop a low cost Arduino based multi-channel temperature and humidity data acquisition system for domestic and industrial applications. It comprises an ATmega 328P controller type, fourteen (14) DS18B20s temperature sensors, and six (6) DHT22 humidity sensors. The system was configured and programmed to log in readings every 30 minutes (30 min) on the SD card or through the Bluetooth module in Excel format directly into the computer. The results from the experiments conducted with this data acquisition system demonstrated reliability because they were within the reasonable and acceptable range for commercial logging devices.

Satellite-based precipitation error propagation in the hydrological modeling chain across China

Satellite-based precipitation products have great potential to promote hydrological modeling skill owing to the spatially homogeneous measurements they provide. However, satellite-based precipitation uncertainties and their hydrological impacts are poorly understood for different products and hydroclimate regions in China. This study comprehensively evaluates the error properties of ten satellite-based precipitation products and the precipitation error propagation characteristics in the hydrological modeling chain during the period 2001–2018. The results indicate that precipitation error tends to become smaller during the routing process for most satellite precipitation products; e.g., αRMAE, an error propagation ratio based on relative mean absolute error, decreased about 26% (from 0.58 to 0.43) when considering routing processes during hydrological simulation by using the PERSIANN-CDR satellite precipitation product. The linear slope of simulated streamflow against precipitation error greatly decreases (compared to that of simulated runoff) after flow routing of 366 catchments across China. This study also found that satellite-based precipitation product errors in hydrological simulations for drier and water-limited small catchments are more likely for amplify in the streamflow simulations. These findings are essential to improving understanding of the interactions between satellite-derived precipitation forcing and hydrological processes, and thus for improving the data accuracy of precipitation forcing for hydrological simulation in China.

Leaching of catalyst platinum from cured silicone elastomers: A preliminary study for comparing reagents

Addition curing systems involve two-part silicones which require the mixture of a silicone polymer with a catalyst to initiate the cure. Platinum is the most commonly used metal catalyst for addition curing of silicones by hydrosilylation which involves the crosslinking by the addition reaction of silicon hydride species to unsaturated bonds, mainly CC, but also CO or CN double bonds. After crosslinking of the polymers, the platinum catalyst cannot be recovered but remains in the silicone materials throughout the entire product life. In the end, platinum is disposed of together with the silicones and is thus lost to the value chain. The overall objective of this work was to develop a recycling process for the recovery of platinum from addition-cured silicone elastomers. In the first step, this was achieved by efficient digestion methods and by optimizing the leaching processes for exemplary commercial silicone elastomer products. Two different silicone materials were investigated, both of which were crosslinked with a platinum catalyst. The initial Pt content in the tested samples was 12.6 ± 0.2 mg/kg for a commercial silicone impression material and 6.3 ± 0.5 mg/kg for a silicone baking mold, measured by graphite furnace atomic absorption spectrometry (GF-AAS). Samples were first frozen with liquid nitrogen to improve brittleness and then crushed with a simple food processor to obtain a silicone granule. Various acid mixtures, mainly based on sulfuric acid, were investigated as digestion methods in order to extract platinum from the silicone network. These had different effects on the dissolution behavior of silicone samples and the amount of platinum extracted in each case. The amount of platinum leached from the filtrate of the digested samples in each case was measured by ICP-OES to evaluate the efficiency of different leaching mixtures. In addition, the dissolved platinum species present in the solutions was identified by UV/VIS as tetrachloridoplatinate(II) complex. The best platinum leaching results so far were obtained with two methods, both of which used a leaching mixture based on sulfuric acid and hexamethyldisiloxane (M2). In the presence of hydrochloric acid, 9.6 ± 1.6 mg platinum/kg was leached from the silicone impression material and 4.2 ± 0.8 mg platinum/kg from the silicone baking mold. With the additional use of aqua regia instead of hydrochloric acid, 10.4 ± 2.8 mg platinum/kg was extracted from the silicone impression material and 4.8 ± 1.0 mg platinum/kg was extracted from the silicone baking mold. These methods were replicated with n = 3. Using statistical evaluation methods (F-test, t-test, and confidence interval), no significant difference was found between these two best methods. Recovery of platinum(0) from leach mixtures has not yet been achieved due to high dilution and very low platinum concentration in samples and will be part of another study.

Zhuang Brocade for Development and Its Implementation to Enable the Future Viability in Southwest China

Purpose: 1.To study the factors affecting the development decline of Guangxi Zhuang Brocade. 2.Put forward the methods of sustainable development of Zhuang brocade to the problems existing in its development. Theoretical reference: The methods of sustainable development of Zhuang brocade are studied through folk art, design, and project implementation. Method: After comparative analysis, this paper combined with the market and future of Zhuang brocade puts forward four design methods that can help Zhuang brocade. They upgrade the development of Zhuang brocade from four aspects: product design, process production, publicity and sales, and market expansion. Results and Conclusion: This paper puts forward eight ways which can bring positive influence on the sustainable development of Zhuang brocade. Conclusions are drawn from multi-dimensional research and practical projects, and the possibility of future sustainable development of Zhuang Brocade is discussed. Implications of the research: Find out the sustainable development method of Zhuang brocade through research. Enhance the public's awareness of Zhuang brocade, so that Zhuang brocade can be better inherited and developed and is more suitable for modern people's life. Value: Combined with the market and future of Zhuang brocade, this paper puts forward four design methods that can help Zhuang brocade. This research has a guiding effect on the development of Zhuang brocade and puts forward very referential opinions for the sustainable development of Zhuang brocade.

Real Argentinian Food. Tensions and Conflicts in Value-Added Processes of Products to Commercialization and Tourism

Summary Wine and dulce de leche (Caramel sauce) were recognised as cultural national food heritage in Argentina due to their importance in daily consumption and gastronomic identity. The formal recognition aligns with global food valorisation processes, such as the United Nations Educational, Scientific and Cultural Organization’s (UNESCO) immaterial heritage and the importance of gastronomic tourism. Also, public policies in different countries seek to add value to food and beverages in order to foster the development of rural areas, favour tourism commercialisation, strengthen local identities and enhance traditional/ancestral knowledge. These show the symbolic and economic value of food. In this context, several types of formal certifications and commodification processes, which recognise territorial anchorage, of how certain food is produced and consumed may lead to its standardisation, homogenisation or monopolisation, generating various tensions. Hence, we question the relationship between those who promote value-adding initiatives, how farm producer communities participate in them, which sectors or actors really benefit from these processes and what tensions may arise from them. We will address these questions by reconstructing and analysing the heritage and tourism valorisation of high-altitude wine in the Calchaquíes Valleys area and dulce de leche production in the province of Buenos Aires. Information © The Authors 2024

Process information optimization method based on process constituent elements model and polychromatic set theory

This research presents a novel model for optimizing process information in manufacturing steps through the utilization of Process Constituent Elements (PCE), with the aim of enhancing the effectiveness of product process information design. To achieve this objective, a systematic analysis is conducted on six dimensions: input, output, resources, value-adding activities, environment, and process control and inspection content. In addition, specific attributes of PCE are investigated, and an improved FP-growth algorithm is employed to extract the optimized structural expressions of typical PCE, thus determining specific expression requirements. The PCE and their attribute relationships are organized into modular mapping rules, resulting in an optimized representation structure based on a polychromatic set approach. The effectiveness of this approach is quantitatively assessed by developing a comprehensive quality indicator evaluation system for process information and using a fuzzy comprehensive evaluation model for analysis.

The Role of Environmental Management Accounting in Economic Development through Corporate Product and Process Innovation in East Java Indonesia

Aims: This research aims to examine the influence of environmental management accounting on economic development through innovation
 Study Design: This research hypothesis testing was carried out using the Partial Least Square (PLS) approach.
 Place of Study: The sample data for this research was obtained from 150 respondents. The respondents in this research sample were accounting managers of manufacturing companies in East Java.
 Methodology: This research method is quantitative. This research will test the influence of the relationship between variables, namely the independent variable consisting of environmental management accounting as the independent variable (X1). The product innovation variable (Z1) and the process innovation variable (Z2) are mediating variables, and economic development (Y) is the dependent variable.
 Results: The result of the test shows that Environmental management accounting (EMA) is proven to have a positive and significant influence on Economic development, with a t value > t table (5.526 > 1.975) and a path coefficient of 0.000. The product innovation is also able to strongly mediate the relationship between environmental management accounting (EMA) and economic development, this finding is supported by the value of t count > t table (2.710 > 1.975) and a path coefficient of 0.000. The latest test results also prove that process innovation is also able to strengthen the relationship between Environmental Management Accounting (EMA) variables and economic development.
 Conclusion: Overall, the results of this study support the dimensions of management accounting environment (AML) can increase economic development even though companies carry out product innovation and process innovation activities. This research provides a perspective on possible strategies companies to achieve more effective environmental management accounting and supports company goals related to product innovation and company process innovation.

PENGUATAN EKONOMI USAHA MIKRO DAN KECIL MELALUI SERTIFIKAT HALAL “SELF DECLARE”

PPH or what can be called Halal Product Process Assistance in PDM Kudus is a community service activity where this service assists micro and small business actors in PDM Kudus City in order to assist in making or processing the halal products or services they have. The Free Halal Certification Program (SEHATI) is a program planned by the government and is free of charge, meaning it is free. This program is offered by the Ministry of Religion through BPJPH or commonly referred to as the body that administers halal product guarantees. The SEHATI program was initiated with the aim of being a strategy to accelerate the increase in the number of micro and small business actors to become halal certified. This service activity uses the PAR (Participatory Action Research) method. The PAR method was chosen because this service activity involves community participation, especially PDM members, in assisting activities regarding the halal product process in Kudus City. The business actors who are accompanied are business actors who become and take part in PDM (Regional Muhammadiyah Leadership) lectures with various kinds of food products. Mentoring activities apart from training micro and macro business actors, also assist micro and small business actors in filling out the SJPH Manual and filling in business actor statements via the SiHalal application. Apart from that, this assistance also helps small and micro business actors in PDM in inputting data into the SiHalal application, after which verification and validation are carried out on products or services registered in the SiHalal application in the SEHATI program. Based on this, the result of this service activity is obtaining halal certification for products or services by micro and small business actors in PDM Kudus City. This mentoring activity serves to obtain more added value and further guarantee a product or service that they are proposing to obtain a halal certificate through the SEHATI (Free Halal Certificate) program. Apart from that, the result of this service activity is to provide an explanation of the importance of halal certification. Apart from being able to guarantee the halalness of products, it can also be an economic booster such as increasing market share and increasing business competitiveness. Products will be more accepted in the market, especially among Muslim consumers who need halal products in both domestic and international markets.

A study on entrepreneurial innovation among entities in Singapore

The present study aimed to study the entrepreneurial innovation among entities in Singapore. It evaluated the various obstacles that affect entrepreneurial innovation within entities. Further, it has also analysed the various elements that are crucial to overcome the obstacles that affect entrepreneurial innovation within entities. Various factors related to various sources of information fostering innovation activities in an organization were also studied. Difference between the product innovation and process innovation was studied. Furthermore, organizational innovation and marketing innovation were also studied. Lastly, organizational innovation’s degree of observed effect in the organization was also studied. Cross-sectional analysis using realism as epistemological view was undertaken in this study. Deductive research approach along with web-based survey using descriptive research design is the research methods followed in this study. Tools for results’ analysis include descriptive analysis, Q–Q plots, KMO and Bartlett's test, factor analysis and Chi-square tests. The study concluded that enterprises need to work aggressively in the new product development, market opportunities, organization capabilities to ensure that the organizations grow. It is highlighted that process innovation and product innovation have effects on the economic performance of the organization. It does flag that the market innovations are linked with the ways the enterprises change, evolve and develop their fundamental capabilities, which are part of the organizational innovations. Also, the study showed that organizational innovation has greatly helped to improve the quality of the goods or services and reduced costs per unit output. The reduced time to respond to customer or supplier needs and improved employee satisfaction and/or reduced rates of employee turnover is also seen as a significant observed effect of entrepreneurial innovation. Managerial and theoretical implications along with Ideas for future research is also provided.

Optimizing the Extraction Process of Value-Added Products from Olive Cake Using Neuro-Fuzzy Models

The use of olive cake, an abundant residue in the olive oil industry, has been studied by developing a biorefinery scheme. The aim was to develop a novel, efficient, and environmentally friendly strategy for the valorization of olive cake, contributing to sustainable agriculture. A special extraction procedure based on a combination of hydrothermal treatments with liquid/liquid extractions was designed to produce value-added products, along with solids that can be used for energy or adsorbent production. The optimal extraction conditions were determined by exploring the influence of the operating variables (temperature, extraction time, solvent type, solvent/extract ratio, extraction stages, and pH) on the extraction yield. The decision about the optimal conditions was made by adjusting the experimental results to a neuro-fuzzy model. Glucose and inositol showed similar response surfaces, allowing simultaneous concentration in a single process. Under optimal extraction conditions, the concentration of inositol increased by up to 70%, while glucose and fructose increased by 70 and 30 times, respectively, compared to the initial feed. The proposed methodology successfully extracted significant amounts of bioactive polyols (mainly inositol) (1126 mg/L), saccharides (15,960 mg/L glucose, 385 mg/L xylose, 5550 mg/L fructose, 165 mg/L lactose, and 248 mg/L sucrose), and polyphenols (4792 mg/L) under mild conditions, i.e., 30 °C and 30 min. Thus, olive cake extracts have a great unexploited potential for application in several industrial sectors, including, but not limited to, food and pharmaceuticals.