SMART JOURNAL OF BUSINESS MANAGEMENT STUDIES VOL. 13 NO. 2 PAPER 1
DOI : 10.5958/2321-2012.2017.00009.4
IDENTIFICATION OF PROMINENT CASTING DEFECTS AND ITS IMPACT ON QUALITY OF CASTINGS
 
Dhananjay M. Wankhede*, Narkhede, B.E**, and Mahajan, S.K***
*    Research Scholar, Department of Production Engineering, VJTI, Mumbai, India.
**    Associate Professor, Department of Production Engineering, VJTI, Mumbai, India.
***    Director, Technical Education, Maharashtra State, Mumbai, India.
 
Defective casting is a critical problem and it has significant impact on the casting manufacturing industries. Selecting the best casting sample among many samples is a MultiCriteria Decision Making (MCDM) problem. This research aims to identify the prominent casting defects and selection of best casting sample, with a minimum number of defects. This study has developed an evaluation model, based on the Analytic Hierarchy Process (AHP). In this study, AHP was used, to analyze the most prominent casting defects, selection of best casting sample, with minimum defects and to determine the weights of the criteria. A total of nine casting defects was considered, with fifty-seven subfactors. An experimental study was conducted, to illustrate the utilization of the model, for the best casting sample selection problem, for three different nonferrous materials. According to this study, a sample, with LM6 as a material (with final weight 0.1560), stood out undisputedly as the best casting sample. The proposed study and its application, will be useful for the casting industries, to better understand the prominent casting defects and the selection of the best casting, with the least casting defects. The statistical software SPSS was used for reliability of data and one sample t-test was conducted for finding the significant factors.
 
KEYWORDS: Casting Defects, Multi-Criteria Decision Making (MCDM), Analytic Hierarchy Process (AHP), SMEs JEL CLASSIFICATIONS: L61, C12, C83 FULL TEXT