Kalaniketan Polytechnic College

Jabalpur, India

Kalaniketan Polytechnic College

Jabalpur, India

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Pandey V.,Suresh Gyan Vihar University | Gilhotra R.M.,Suresh Gyan Vihar University | Kohli S.,Kalaniketan Polytechnic College
Drug Development and Industrial Pharmacy | Year: 2017

The current research work was executed with an aim to explore and promote the potential of self-microemusifying drug delivery systems (SMEDDS) in the form of tablets, in order to enhance solubility and oral bioavailability of poorly aqueous soluble drug Repaglinide (RPG). RPG-loaded liquid SMEDDS were developed consisting Labrafil M 1944CS, Kolliphor EL and Propylene glycol, which were then characterized on various parameters. After characterization and optimization, liquid SMEDDS were converted into solid form by adsorbing on Aeroperl® 300 pharma and polyplasdoneTM XL. Further, selection of suitable excipients was done and mixed with prepared solidified SMEDDS powder followed by the preparation of self-microemulsifying tablets (SMET’s) wet granulation–compression method. SMET’s were subjected to differential scanning calorimetry (DSC) and particle X-ray diffraction (RXRD) studies, results of which indicated transformation of crystalline structure of RPG because of dispersion of RPG at molecular level in liquid SMEDDS. This was further assured by micrographs obtained from scanning electron microscope. SMET’s shown more than 85% (30 min) of in vitro drug release in contrast to conventional marketed tablets (13.2%) and pure RPG drug (3.2%). Results of in vivo studies furnished that SMET’s had shown marked decrease in the blood glucose level and prolonged duration of action (up to 8 h) in comparison with conventional marketed tablets and pure RPG drug. In conclusion, SMET’s serves as a promising tool for successful oral delivery of poorly aqueous soluble drug(s) such as RPG. © 2017 Informa UK Limited, trading as Taylor & Francis Group.


Tripathi A.K.,Uttarakhand Technical University | Kohli S.,Kalaniketan Polytechnic College
Journal of Complementary and Integrative Medicine | Year: 2014

Background: The objectives of the present study were phytochemical and pharmacological screening of bark of Syzygium cumini on streptozotocin (STZ)-induced diabetic Wistar albino rats. Methods: Dose selection was made on the basis of acute oral toxicity study (300-5,000 mg/kg b.w.) as per OECD guidelines. Rats were made diabetic by a single dose of STZ at 50 mg/kg b.w. intraperitoneally. The effect of Syzygium cumini extracts (500 mg/kg) on postprandial blood glucose level was determined in fasted diabetic and normal rats. Blood glucose levels were measured at 0, 30, and 90 min after the glucose administration in the OGTT study. The bark extracts were administered orally at the dose of 500 mg/kg for 21 days in the chronic study. Glibenclamide (2.5 mg/kg) was used as a standard drug for activity comparison. Statistical analyses were performed using one-way ANOVA followed by Bonferroni's multiple comparison tests. Results: The phytochemical screening showed positive results for triterpenes/steroids, glycosides, carbohydrates, alkaloids, flavonoids, saponins, tannins and amino acids. Administration of Syzygium cumini extracts 30 min before oral glucose loading significantly suppressed (p <0.001) the rise in postprandial blood glucose levels in treated rats compared to control rats but less significant than glibenclamide. Daily, continuous oral treatment of STZ-induced diabetic with various extract of Syzygium cumini for 3 weeks resulted in significant reductions in fasting blood glucose levels compared with diabetic controls. The ethanol and aqueous extracts were most active. Conclusions: This study brings out the evidence regarding phytochemistry and pharmacological activities of Syzygium cumini.


Chaudha A.,Motilal Nehru National Institute of Technology | Jain R.,Kalaniketan Polytechnic College | Singh A.R.,Motilal Nehru National Institute of Technology | Mishra P.K.,Motilal Nehru National Institute of Technology
International Journal of Advanced Manufacturing Technology | Year: 2011

Viability of a product or service in the market depends upon the satisfaction that it can extend to its customers through quality. Quality function deployment (QFD) is a tool that gathers voice of customer (VoC) and inducting the expected features in the final product. It is also desirable that the practitioners of QFD must extend due importance to latent expectations of the customers, which in turn may fulfill overall customer satisfaction for a product or service. Kano et al. (J Jpn Soc Qual Control, 14:39-48, 1984; 1996) and Kano (2001) have suggested a method to identify the different categories of requirements through customer responses. Based on the QFD and Kano model analysis, a function has been proposed to adjust the traditional improvement ratio (Tan and Shen, Total Qual Manag 11:1141-1151, 2000) for each product or service attribute to recognize the importance of a attribute, which can be helpful in developing a product or service in such a manner that maximum customer satisfaction can be achieved. The proposed methodology has been illustrated using customer survey data. © 2010 Springer-Verlag London Limited.


Singh A.R.,Motilal Nehru National Institute of Technology | Mishra P.K.,Motilal Nehru National Institute of Technology | Jain R.,Kalaniketan Polytechnic College | Khurana M.K.,Motilal Nehru National Institute of Technology
International Journal of Advanced Manufacturing Technology | Year: 2012

Facility location decisions play a vital role in the strategic design of the global supply chain. Global supply chains are vulnerable towards different types of risks factor that causes disturbance in the allocation of certain goods at the required place and time, and with the required quality and quantity. This paper presents a model of the multi-stage global supply chain network problem incorporating a set of risk factors (such as: late shipment, exchange rates, quality problems, logistics and transportation breakdown, and production risks), their expected values and probability of their occurrence, and associated additional cost. Different scenarios are considered to demonstrate the applicability of the model. Optimal decisions regarding the facility locations and inter-echelon quantity flows in the global supply chain are based on initial information for the risk factors. Further, if any change in the expected value of risk factor has occurred, the inter-echelons shifting take place to minimize the overall cost of the supply chain. © 2011 Springer-Verlag London Limited.


Singh A.R.,Motilal Nehru National Institute of Technology | Jain R.,Kalaniketan Polytechnic College | Mishra P.K.,Motilal Nehru National Institute of Technology
International Journal of Advanced Manufacturing Technology | Year: 2013

The design of a supply chain (SC) aims to minimize cost so the product can reach the customer at the cheapest cost with flexible demand. The demand of a product is variable with time and environment. Most of the researchers have considered investment cost, processing cost, and transportation cost as variable costs to minimize the cost while considering a constant demand. In actual practice, the demands are flexible. In this paper, a two-stage stochastic programming model has been proposed for a capacities-based network design of a supply chain for flexible demands while considering inventory carrying cost and missed opportunity cost in addition to the above-mentioned costs. It will enhance the logistic planning and seek the location network optimally. Furthermore, in the first stage, decision variables represent different nodes (facility locations of echelons) of the supply chain, with the assumption that they will be considered at the design stage before uncertain parameters are unveiled. On the other hand, decision variables related to the amount of products to be produced and stored in the nodes of the SC, the flows of materials among the entities of the network, and shortfalls and excess at the customer centers are considered as second-stage variables. The methodology has been illustrated by solving an example. It was found that the proposed model yields more feasible and advantageous results. © 2013 Springer-Verlag London.


Yadav H.C.,Indian Veterinary Research Institute | Jain R.,Kalaniketan Polytechnic College | Singh A.R.,Motilal Nehru National Institute of Technology | Mishra P.K.,Motilal Nehru National Institute of Technology
International Journal of Advanced Manufacturing Technology | Year: 2013

An amicable aesthetical design of a product is prudent for its wide acceptability and viability. Selection of shape parameters with customer satisfaction is critical in aes-thetical design and a challenging task for designers. In the present work, the authors proposed a sequential approach to design a car profile with aesthetical aspects. The methodology is based on Kano model that provides a framework for incorporation of customer satisfaction with the design requirements. Further, Taguchi's robust design approach has been used to find the optimum level of the parameter to achieve initial design estimates and thereafter, response surface method (RSM) is applied to refine the optimum values, precisely. The methodology has been illustrated with a case study. © Springer-Verlag London 2012.


Avikal S.,Motilal Nehru National Institute of Technology | Jain R.,Kalaniketan Polytechnic College | Mishra P.K.,Motilal Nehru National Institute of Technology | Yadav H.C.,Motilal Nehru National Institute of Technology
Computers and Industrial Engineering | Year: 2013

The assembly line balancing problem is a non deterministic polynomial type planning problem for mass production. Layout design changes constitute a major decision that yields investment for assembly operations and numerous heuristics have been reported in the literature for solving the line balancing problems. U-shaped assembly layout offers several benefits over traditional straight-line layout in implementation of lean manufacturing and Just-In-Time technology. In the paper an attempt has been made to evaluate labor productivity in U-shaped line system and straight line system. A Critical Path Method (CPM) based approach for U-shaped assembly line has been applied for assigning the task to the work stations for assembly line layout. Results show that the CPM based U-shaped approach performs better and improve the labor productivity of assembly line layout. © 2013 Elsevier Ltd. All rights reserved.


Jain R.,Kalaniketan Polytechnic College | Singh A.R.,Motilal Nehru National Institute of Technology | Yadav H.C.,Motilal Nehru National Institute of Technology | Mishra P.K.,Motilal Nehru National Institute of Technology
Journal of Intelligent Manufacturing | Year: 2014

A company must purchase a lot of diverse components and raw material from different upstream suppliers to manufacture or assemble its products. Under this situation the supplier selection has become a critical issue for the purchasing department.The selection of suppliers depends on number of criteria and the challenge is to optimize selection process based on critical criteria and select the best supplier(s). During supplier selection process initial screening of potential suppliers from a large set is vital and the determination of prospective supplier is largely dependent on the criteria chosen of such pre-qualification. In the literature, many judgments based methods are proposed and derived criteria selection from the opinion of either the customers or the experts. All these techniques use the knowledge and experience of the decision makers. These methods inherit certain degree of uncertainty due to complex supply chain structure. The extraction of hidden knowledge is one of the most important tools to address such uncertainty and data mining is one such concept to account for such uncertainty and it has been found applicable in many scenarios. The proposed research aims to introduce a data mining approach, to discover the hidden relationships among the supplier's pre-qualification data with the overall supplier rating that have been derived after observation of previously executed work for a period of time. It provides an overview that how supplier's initial strength influence its final work performance. © 2012 Springer Science+Business Media, LLC.


Yadav H.C.,Motilal Nehru National Institute of Technology | Jain R.,Kalaniketan Polytechnic College | Shukla S.,Motilal Nehru National Institute of Technology | Avikal S.,Motilal Nehru National Institute of Technology | Mishra P.K.,Motilal Nehru National Institute of Technology
International Journal of Industrial Ergonomics | Year: 2013

The viability and success of a product in the market depends on its aesthetic design. Quality function deployment (QFD) is a structured methodology for the design a new product with improved quality. The Kano model has been found to be a useful tool to establish the relationship between performance criteria. In order to make its use more objective, fuzzy Kano modeling may be more beneficially applied than the traditional Kano modeling. A fuzzy approach has been adopted for calculation of the relative importance of different aesthetic attributes. The proposed method has been illustrated using customer survey data. Four out of 12 aesthetic attributes (i.e., elegant, family-feeling, modern, and youthful) were found to be attractive (more significant). Relevance to industry: This research paper presents an integrated approach that convert customer's emotions into usable design data. This enables industrial counselors, professional product designers and academician to categorize requirements of users that can be subsequently incorporated into final product design. © 2013 Elsevier B.V.


Avikal S.,Motilal Nehru National Institute of Technology | Mishra P.K.,Motilal Nehru National Institute of Technology | Jain R.,Kalaniketan Polytechnic College
International Journal of Production Research | Year: 2014

Nowadays, new products have been introduced in the market at an ever increasing pace due to rapid technology advancement. Consequently, products are becoming outdated and discarded faster than ever before. Since the demand for new solutions to economically deal with such outdated products begun to rise, the disassembly line has emerged as a viable solution to this problem. The disassembly line has been considered as a viable choice for automated disassembly of returned products. The problem of sequence generation in disassembly is complex due to its NP-Hard nature and therefore the heuristically solutions are most preferable for these types of problems. In this paper, a heuristic has been proposed to assign the disassembly tasks/parts to the work stations under its precedence constraints. It incorporates Fuzzy analytic hierarchy process (Fuzzy AHP) and PROMETHEE method for the selection of tasks for assignment to the disassembly line. The Fuzzy AHP has been used to find the relative importance of each criteria and PROMETHEE method has been used for prioritising the tasks for assignment. The proposed heuristics has been illustrated with an example and the results have been compared to the heuristic proposed by McGovern and Gupta. The proposed heuristic performs well and has shown improvements in terms of cycle time and idle time of the workstations. © 2013 Taylor & Francis.

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