http://localhost:8080/xmlui/handle/123456789/2370 Tue, 23 Jun 2026 06:29:03 GMT 2026-06-23T06:29:03Z http://localhost:8080/xmlui/handle/123456789/2871 Title: Segmentation based product design using preferred features Authors: Gangurde, S. R.; Akarte, M. M. Abstract: Purpose – The purpose of this paper is to present a systematic methodology for segmenting customers based on the preferred product features, its cost and worth, so as to facilitate the designer to develop a product that will simultaneously minimize product cost and maximize customer satisfaction. Design/methodology/approach – Post hoc – non-overlapping – non-hierarchical approach has been used for segmentation based on preferred product features by the customers. Allocation of product features to a particular segment is carried out by considering feature cost and customer worth for that feature. Automobile car has been selected as an example to demonstrate the methodology, where features data were collected from dealers and customer worth data were obtained by random generation method. Findings – Methodology facilitates creation of n number of homogeneous segments from a heterogeneous customer group based on the cost and worth of product features. Total product cost decreases though product variety increased due to segmentation. Originality/value – The proposed approach will help designers in segmenting (grouping) heterogeneous customers based on the preferred product features so that a most compatible (matching) product configuration for each segment, especially during product consolidation stage (beginning of the maturity phase of product lifecycle) can be developed to achieve maximum customer satisfaction. Sat, 09 May 2015 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2871 2015-05-09T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2870 Title: Optimization of hole-making operations for injection mould using particle swarm optimization algorithm Authors: Dalavi, A. M.; Pawar, P. J.; Singh, T. P. Abstract: Optimization of hole-making operations plays a crucial role in which tool travel and tool switch scheduling are the two major issues. Industrial applications such as moulds, dies, engine block etc. consist of large number of holes having different diameters, depths and surface finish. This results into to a large number of machining operations like drilling, reaming or tapping to achieve the final size of individual hole. Optimal sequence of operations and associated cutting speeds, which reduce the overall processing cost of these hole-making operations are essential to reach desirable products. In order to achieve this, an attempt is made by developing an effective methodology. An example of the injection mould is considered to demonstrate the proposed approach. The optimization of this example is carried out using recently developed particle swarm optimization (PSO) algorithm. The results obtained using PSO are compared with those obtained using tabu search method. It is observed that results obtained using PSO are slightly better than those obtained using tabu search method. Wed, 17 Jun 2015 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2870 2015-06-17T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2816 Title: Benchmarking of Purchasing Practices using Kraljic Approach Abstract: The purpose of this paper is to reduce impact on profit and supply risk, for strategic part by defining appropriate purchasing strategies using Kraljic portfolio model (KPM) approach Thu, 01 Oct 2015 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2816 2015-10-01T00:00:00Z http://localhost:8080/xmlui/handle/123456789/2815 Title: Parameter optimization of Machining process teaching learning based Optimization algorithms Authors: Pawar, P. J.; Rao, V. R. Fri, 12 Oct 2012 00:00:00 GMT http://localhost:8080/xmlui/handle/123456789/2815 2012-10-12T00:00:00Z