Danish Irfan

S-Canopy:A feature-based clustering algorithm for supplier categorization

Supplier categorization is considered as a business approach to reduce the logistic costs and improve business performance. In this work we propose a data clustering algorithm for supplier categorization namely S-Canopy clustering. It is simply making use of canopy clustering to reduce the number of distance comparisons. Comparison analysis shows a feasibility to obtain better results for categorization of suppliers in a supplier base.

Feature-based unsupervised clustering for supplier categorization

This paper outlines the feature-based unsupervised clustering for supplier categorization. Traditionally, when categorizing suppliers, companies have considered factors such as price, quality, flexibility etc. An enterprise is considered for design and manufacture with the objective of acquiring & developing a sophisticated technological base for systems and enlarging & expanding production of components. In this scenario, our intuition lies in supplier categorization based upon the selected features of suppliers. Lastly, we present results of segmentation of supplier data.

Clustering Framework for Supply Chain Management (SCM) System

The cram of supply chain management (SCM) is being considered as center of attention and motivation, not only among academics but also among practitioners in recent years. SCM systems face complexity, processes time compression, and lackness of process optimization. In our current work, we present a broad framework for SCM, based on K-means clustering algorithm which concentrates on the supply chain (SC) processes for lessen the complexity, optimization factors in SC process communication, product variability and inaccurate forecast. Results show a feasibility to adopt this technique from a business analyst viewpoint.

Hybrid-LWM: A linear-model based hybrid clustering algorithm for supplier categorisation

Supplier categorisation is a key step in Supplier Base Management (SBM), which is considered as a business strategy to reduce the logistic costs and improve business performance. In this work, we present projected clustering-based algorithm combined with Linear Weighted Model (LWM) for categorisation of suppliers in supply base management. We applied this hybrid approach for data set of suppliers in a supplier base.

Business process modeling for SCM systems

This work gives business process modeling for certain enterprises supply chain management (SCM) Systems [1] using event driven process chain (EPC). In addition, to capture behavior of the processes, somehow, EPC semantics are considered.