In sugar production, model parameter estimation and controller tuning of the nonlinear clarification process are major concerns. Because the sugar industry's clarification process is difficult and nonlinear, obtaining the exact model using identification methods is critical. For regulating the clarification process and identifying the model parameters, this work presents a state transition algorithm (STA). First, the model parameters for the clarifier are estimated using the normal system identification process. The STA is then utilized to improve the accuracy of the system parameters that have been identified. Metaheuristic algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and State Transition Algorithm are used to evaluate the most accurate model generated by the algorithms. By capturing the principal dynamic features of the process, the clarifier model produced from State Transition Algorithm (STA) acts more like the actual clarifier process. According to the findings, the controllers provided in this paper may be used to achieve greater performance than the standard controller design during the control of any nonlinear procedure, and STA is extremely helpful in modeling a nonlinear process.
Synthesis of a series of benzimidazole-ornamented pyrazoles, 6a–6j has been obtained from arylhydrazine and aralkyl ketones via a multistep synthetic strategy. Among them, a hybrid-possessing para-nitrophenyl moiety connected to a pyrazole scaffold (6a) exerted the highest anti-inflammatory activity, which is superior to the standard, diclofenac sodium. While executing the 2,2-diphenyl-1-picrylhydrazyl radical-scavenging activity, a hybrid-possessing para-bromophenyl unit integrated at the pyrazole structural motif (6i) exhibited the highest activity among the hybrids examined. Besides, evaluation of anticancer potency of the synthesized hybrids revealed that the one containing a para-fluorophenyl unit tethered at the pyrazole nucleus (6h) showed the highest activity against both the pancreatic cancer cells (SW1990 and AsPCl) investigated. Considerable binding affinity between B-cell lymphoma and the hybrid, 6h has been reflected while performing molecular docking studies (−8.65 kcal/mol). The outcomes of the investigation expose that these hybrids could be used as effective intermediates to construct more potent biological agents.
In the current dynamic global market place, especially among small and medium scale manufacturing industries the competition is show rigorous for a profitable survival. To be competent the industries have to necessarily work in an efficient way by updating and implementing new techniques. These day’s manufacturers may have to introduce and prove the success of the products not only faster but also to deliver it to the end users at the right time. The aim of this study has been to present a lean approach in the manufacturing system of injection moulding facility by reducing the change over time. In this research a lean tool of Single Minute Exchange of Die (SMED) has proved to be an effective tool for eliminating waste of time. In SMED the time taken for mould or die exchange should be less than 10 minutes. This improves the productivity by reducing the down time of a machine. The main objective has been to reduce the change over time from the current setup time of 39.94 minutes to less than 10 minutes. After implementing the SMED, the total change over time was reduced by about 67.72% which indirectly reduced production losses and increased the productivity.
In the present scenario, it is necessary to follow lean manufacturing techniques more effectively and efficiently in order to meet the challenges of the global competitive market. Hence it is inevitable to introduce lean techniques which increase the productivity and reduce the lead time that ultimately results in customer satisfaction. Lean manufacturing has widely been executed in large scale industries over the past three decades. Lean means nothing but the creation of more value for customers with fewer resources and is the current trend for management of products and services. Companies are able to respond to changing customer desires with high variety, high quality, and fast throughput times with low cost. Also information management has become much simpler and more accurate. The main aim of this paper is to study the existing system in a small scale automotive component manufacturing industry and use lean tools to reduce lead time without greatly affecting the current working systems in the industry. Standard Operating Procedure (SOP) is used to standardize the production and Kanban is also introduced by indicating the part number and part description to all work stations. Ranked position weight method in line balancing is used to reduce the transportation time of products from one station to another. Cycle time and setup time were reduced by about 350 seconds and 1500 seconds by work standardization and hence the productivity also increased. After implementing SOP the overall lead time reduced from 5780 seconds to 3946 seconds.
Productivity is an important parameter for all small and medium scale manufacturing industries. Lean manufacturing emerged as production strategy capable of increasing productivity by identifying and eliminating non value added activities. This article deals with productivity improvement in a pre-assembly line of gearbox manufacturing company with a case study using lean concepts like process flow chart, process Gantt chart and time study. This paper illustrates using a case study on how a value stream mapping has to be carried out in a planet carrier pre-assembly line. Value stream mapping and work standardization are the key tools used in lean manufacturing and lean transformation. It makes the process smoother, helps in reduction of lead time and ultimately increasing the productivity. From the observed results it was found that, the productivity has been increased from 7 pieces to 10 pieces in the first step assembly when the proposed VSM was implemented. The second step processing time was reduced by the execution of proposed value stream mapping with TAKT time of 126 minutes and 165 minutes of processing time for demand of 10 pieces were achieved and the overall processing time has been reduced by about 24%.
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