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Showing 4 results for Jha

Sujit Kumar Jha,
Volume 23, Issue 3 (IJIEPR 2012)
Abstract

This paper presents an overview of new approaches in rapid product development in production networks from design points of view. The manufacturing industries are changing their focus to global sourcing as a means to improve performance and enhance competitiveness. Some partnerships created with this strategy improve product development through collaborative design. With the advent of e-Commerce, a new set of collaborative applications integrated to the firms’ IT infrastructure allow a direct interaction between the firm and its suppliers, having an impact of negotiations. The globalization of the market necessitates the reduction of time-to-market, mainly due to shorter product life cycle. The computing and communication have become indispensable in every aspect of product development and design. The paper describes the network that directly links designer capabilities and with customers and manufacturing division. The networks focuses the three major forces that will affect the design community, namely, speed of decision, expansion of scope and degree of concurrency. Due to evolution of production networks, it has become possible to obtain the mass production within a key short time, using emerging technology that affect the speed and efficiency of product development using a pool of efficient designers and product managers.
Sujit Kumar Jha,
Volume 27, Issue 2 (IJIEPR 2016)
Abstract

Manufacturing process frequently employs optimization of machining parameters in order to improve product quality as well as to enhance productivity. The material removal rate is a significant indicator of the productivity and cost efficiency of the process. Taguchi method has been implemented for assessing favorable (optimal) machining condition during the machining of nylon by considering three important cutting parameters like cutting speed, feed rate and depth of cut during machining on CNC. The objective of the paper is to find out, which process parameters having more impacts on material removal rate during turning operation on nylon using analysis of variance (ANOVA). An Orthogonal array has been constructed to find the optimal levels of the turning parameters and further signal-to-noise (S/N) ratio has been computed to construct the analysis of variance table. The results of ANOVA shown that feed rate has most significant factor on MRR compare to cutting speed and depth of cut for nylon. The confirmation experiments have conducted to validate the optimal cutting parameters and improvement of MRR from initial conditions is 555.56%.


Mahdi Karbasian, Marziye Kashani, Bijhan Khayambashi, Mohsen Cheshmberah,
Volume 27, Issue 2 (IJIEPR 2016)
Abstract

In this research we have presented a local model for implementing systems engineering activities in optimized acquisition of electronic systems in Electronic High-Tech Industrial. In this regard, after reviewing the literature and the use of documents, articles and Latin books, we have collected system acquisition life cycle models from different resources. after considering the criteria of the mentioned industry, we have designed two questionnaires and distributed them among some experts of industry and university. The Population studied here were all of the specialists of mentioned industry and our sample consist of 17 experts in this field. As the main focus of this research is on experts’ opinions, we used purposive sampling. Finally, we present local model using the results of the questionnaires and considering the standards, requirements and system engineering processes during system acquisition stages and then match them with our case study. this research includes some innovations such as: flexibility of model under different conditions, choosing the appropriate positions for applying systems engineering reviews, and also the use of foresight issue in the initial phase of model, which have been neglected in other presented models in previous researches.


Ali Zaheri, Mahdi Rojhani, Sandra F. Rowe,
Volume 33, Issue 1 (IJIEPR 2022)
Abstract

The Project Management Body of Knowledge (PMBOK) is a widely used model of project management based on prior experience. This standard does not distinguish between small and large projects, but small projects, with their limited schedules and budgets, face challenges using the extensive structure proposed by this standard. It has been suggested that the standard can be adapted to each project within its specifications; however, the tailoring procedures are complex, time-consuming, and at times impossible to apply to small projects. The present study examined whether or not the PMBOK is an appropriate model for small projects. To address this issue, a questionnaire was prepared and sent to 134 professional project managers. Analysis of the data confirmed that the assumption that PMBOK is a challenge to small projects was not contradicted. Most participants agreed that the procedure should be tailored to prioritize the standard tools and guiding techniques, in addition to the knowledge areas, for small projects.

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