Therefore, in the present work, plant materials were shade dried in a semi dark room. Moreover, considering the traditional practice of distillation of citronella plant and non-availability of the fresh material on regular basis, shade dried citronella plant parts were used in optimization studies by the hydro-distillation process. 3.2.
Process optimization via confidence region: a case study from micro-injection molding. Open access. Published: 31 May 2022. Volume 33, pages …
Process optimization involves identifying and fixing inefficiencies in regular procedures to improve efficiency. Businesses often invest in improving …
A chemicals firm reduced defects by 70% after process optimization. Enhanced Customer Satisfaction: Faster throughput and fewer mistakes boost customer loyalty. An insurer's process work shortened response times and increased on-time case resolutions by 42%. Cost Savings: Eliminating waste and paperwork reduces expenses. …
Abstract—In this study is present a systematic analysis of already published works on formulating and solving optimization …
In industrial research, experiments are designed to determine the optimal factor levels of the process parameters. Typically, experimental data are used to fit empirical models (for example, regression models) to derive one set of optimal conditions that maximize (or minimize) the response. Unfortunately, the optimization rarely …
Over the last several decades, only one published study has reported on co-torrefaction using RSM. Nam and Capareda (2015) [16] investigated the co-torrefaction of rice straw and cotton stalk using a CCD in an optimization study. They found that the rice straw was mainly influenced by temperature, while the cotton stalk was affected by ...
Process optimization is the implementation of structured methods, strategies, disciplines and tactics to improve a specific process within the parameters of a project or initiative. ... Conduct a controlled study for the new process design before implementing it on a wider scale and then analyze the results. Implement the enhanced …
Optimization entails engaging in an action to find the best solution. As a flourishing research activity, it has led to theoretical and computational advances, new technologies and new methods in developing more optimal designs of different systems, efficiency, and robustness, in minimizing the costs of operations in a process, and …
Process optimization is a set of actions that an organization promotes in order to increase the efficiency and performance of its processes and results. In this increase in performance, the following are observed: Reduction of failures and errors; Reduction of waste of time and money; Breakup of barriers and obstacles that an …
Process optimization is an exercise that aims to streamline operations within a project process, maximizing resource use and improving overall output. It is a significant element of …
In process simulation studies, an effective engineering strategy is the optimization of the key operating variables of IL-based processes for minimizing the solvent and utility consumptions, equipment size, and, hence, CAPEX and OPEX, which constitute the TAC.
The proposed optimization technique consists of a PSO-based framework wherein a properly embedded SA, namely an SA-based local search, aims both to enhance the …
Process optimization was performed using response surface methodology. ... Biodiesel production from palm oil and methanol via zeolite derived catalyst as a phase boundary catalyst: an optimization study by using response surface methodology. Fuel, 272 (2020), Article 117680, 10.1016/j.fuel.2020.117680.
(Free Templates) Business Process Optimization: What, How, Why? (Free Templates) Adam Henshall. January 28, 2023. Automation, Business Processes, …
Injection molding is one of the most important processes for the mass production of plastic parts. In recent years, many researchers have focused on predicting the occurrence and intensity of defects in injected molded parts, as well as the optimization of process parameters to avoid such defects. One of the most frequent defects of …
Business process optimization: combining project management and six sigma best practices to better understand and optimize critical business processes. Paper presented at PMI® Global Congress 2006—North …
This paper covers an optimization study in Saudi Aramco Khurais Facility through data analytics and modeling to enhance NGL Quality and maximize C3+ Yield through Process Modeling and big data ...
A detailed study on synthesis of waste-generated nano-adsorbent with its application in removal of CV dye from aqueous solution has been done for the first time. The adsorption process was found to be influenced by various parameters such as solution pH, sorbent mass, initial dye concentration, contact time, and temperature.
By studying different reaction conditions of the process of carbonylation of methyl acetate in rhodium iodine catalyst system, the optimum reaction conditions were as follows: the reaction pressure was 5 MPa, the hydrogen content was 8%, the amount of iodomethane was 15%, the amount of lithium iodide was 3%, the reaction temperature …
The optimal extraction conditions for BSP were an extraction time of 47 min, extraction temperature of 78 °C, water content of 35%, and solid-liquid ratio of 1:25. Under this optimized condition, the extraction yield of BSP was able to reach (558.90 ± 8.83) mg/g, and recycling studies indicated the good cycle stability of the DES.
Process parameters optimization for maximum PHA and cell biomass accumulation Optimization of process parameters was done by Design-Expert version 12 software. In conformity with preoptimization studies, duration, pH, and carbon source concentration were chosen as variables for the optimal PHA and biomass production, …
2-Ethyl-3-oxazolidineethanol (OE) is an important pharmaceutical intermediate for the treatment of dental plaque. A systematic investigation of the one-pot synthesis of OE from propanal (PA) and diethanolamine (DEA) was conducted herein. The process was carried out under mild reaction conditions without any addition of catalyst, and the product was …
The response surface models were adequate to describe these relationships, with R 2 > 70%, and efficient in process optimization, leading to an optimal temperature of 130°C, drum speed 9.3 rpm, and slurry solids concentration of 20.5% for drying brown rice-based instant cereal containing anchovy powder, using a single drum dryer. The study ...
Therefore, the reaction pressure studied in our experiment was above 3.0 MPa. In this paper, the optimum reaction conditions for the carbonylation of methyl acetate catalyzed by rhodium–iodomethane–lithium iodide were studied. And on this basis, the kinetic equation of the reaction was deduced. 2. Experimental.
The optimization of process parameters for large-scale biodiesel production is usually taken as static while few studies have been reported for dynamic optimization using various techniques [39]. The dynamic process optimization of biodiesel allows analysing the interaction among the process variables and biodiesel yield.
The efficiency of the BRM process was then optimized by employing Response Surface Methodology (RSM). In RSM studies, it was inferred that in the photocatalytic BRM at the feed ratio of 1.67 for (CO 2 /CH 4), the CO production reached a maximum with a value of 25.24 μmol at 4.68 h; however, increasing it further caused a …
The optimization study reveals that the initial Zn2+ concentration and adsorbent dose were the most effective parameters for removal of Zn2+ due to higher magnitude of F-statistic value which ...
What is Process Optimization? Process optimization is the discipline of adjusting a process to optimize a specified set of parameters without violating a few constraints. The most common goals …
The analysis of the data in the previous steps gives engineers a guidance about the design of experiment in the next step. This study uses the desirability function approach to obtain a compromise optimization between the concentration of ethanol and the profit, which gives a robust solution to the complex problem.