Due date assignment for customer orders has been studied in various productionenvironments using different modeling approaches. In this paper the researchers consider aproduction system in which the orders of several customers are produced in a single batch because ofthe economy of scale. If a batch is completed before receiving customer orders, inventory carryingcost is incurred but if it is c...

This paper considers a different version of the parallel machines scheduling problem in which the parallel jobs simultaneously requirea pre-specifiedjob-dependent number of machines when being processed.This relaxation departs from one of the classic scheduling assumptions. While the analytical conditions can be easily statedfor some simple models, a graph model approach is required when confli...

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This paper deals with constrained multistage machines flow-shop (FS) scheduling model in which processing times, job weights, and break-down machine time are characterized by fuzzy numbers that piecewise as well quadratic nature. Avoiding to convert the into its crisp, closed interval approximation for is incorporated. The suggested method leads a noncrossing optimal sequence considered problem...

Manufacturing performances tend to produce defects due to various reasons which can be improved by identifying and eliminating them using six sigma. In the present work, DMAIC (Define, Measure, Analyze, Improve and Control) has been used to reduce the number of vehicle engine rejection. In define phase problem was defined by selecting the core issues concerned. In the measure phase data was col...

Received (received date) Revised (revised date) Communicated by Editor's name ABSTRACT 1 The paper presents results on factorization by similarity of fuzzy concept lattices with hedges. A fuzzy concept lattice is a hierarchically ordered collection of clusters extracted from tabular data. The basic idea of factorization by similarity is to have, instead of a possibly large original fuzzy concep...

Fuzzy pattern trees (FPT) have recently been introduced as a novel model class for machine learning. In this paper, we consider the problem of learning fuzzy pattern trees for binary classification from data streams. Apart from its practical relevance, this problem is also interesting from a methodological point of view. First, the aspect of efficiency plays an important role in the context of ...

This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date...