International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 11 3484 – 3493 _______________________________________________________________________________________________ 3484 IJRITCC | November 2014, Available @ http://www.ijritcc.org _______________________________________________________________________________________ Multi Objective Criteria for Selection of Manufacturing Method using NLP Parser Mr. Girish R. Naik Associate Professor Production Department KIT‟s College of Engineering Kolhapur,India girishnaik2025@gmail.com Dr. V.A.Raikar Principal Govt. Engineering College Karwar, India Var312@yahoo.com Dr. Poornima G. Naik Assistant Professor Department of Computer Studies Chh Shahu Institute of Business Education and Research, Kolhapur, India luckysankalp@yahoo.co.in Abstract— Installing a manufacturing method might be very expensive and time consuming project. Organization should examine and decide on how best to make this decision of selecting appropriate process meeting their requirements. In order to improve the manufacturing cycle more than 110 manufacturing processes have been proposed. The objectives aimed at and the functions focused on by these processes vary. The process should be flexible enough to accommodate reasonable changes in design. This poses a great challenge to a manager in selection of effective and economical manufacturing process. Different organizations have different objectives and based on their specific requirement they deploy suitable process conforming to their objective. Today‟s business scenario is highly competitive, complex and dynamic i n nature which demands strategic planning meeting the challenges of changing time. In this paper we have made an attempt to enable the end user a quick selection of appropriate manufacturing method based on multiple objectives. The information pertaining to the method selection is stored in a persistent Relational DataBase Management System (RDBMS) which can be manipulated by the end user as the organizational objectives and the market needs change. The end user instead of querying the database directly will use the natural language, termed as Manufacturing Query Language (MQL) designed by us, which is interfaced with RDBMS using prolog. To implement MQL, we have defined a finite set of symbols, words and language rules, MQL grammar. The parse tree is constructed based on the grammar specified. The NLP query is parsed using NLP parser designed by us and the queries which are successfully parsed are evaluated by mapping them to the corresponding prolog query using Java interface to Prolog (JPL). Prolog rules are stored in three different prolog knowledge bases, mqlgrammar.pl, rules.pl, and methodrules.pl. NLP offers most flexible way to implement grammar which can be readily extended with least efforts and as such offers an efficient way of implementing rules in dynamically changing scenarios. Our current work focuses on a multiple objectives. In real situations multi objective and multi function criteria is required for the proper selection of the manufacturing method. Our future work involves modification of the tool and parser to take account of multiple objectives and functions. Keywords- JPL, Manufacturing Method, MQL, Natural Language Processing, NLIDB, Parser Tree __________________________________________________*****_________________________________________________ I. INTRODUCTION Manufacturing methods are of many different types based upon the technological solution, or software solution or modern management methods to meet the organizational objectives. To assist managers in selecting the best method to achieve certain criteria, two mapping methods are available, one based on the objectives of the method and the other based on the functions that the methods may serve. Based on the maturity of the manufacturing company, a particular manufacturing method may focus on manufacturing hardware, auxiliary software support, production planning and control, next generation production management, processing manufacturing methods, commercial aspects, organization, advanced organizational manufacturing methods, design methods, human factors in manufacturing, environmental manufacturing methods, or cost and quality manufacturing methods. Giden Halevi has presented a review of manufacturing methods and their objectives [1]. The author has listed 110 published manufacturing methods which fall in 5 different classes based on their nature. In this paper we consider the following objectives as proposed by Giden Halevi in selection of a particular manufacturing method. Meeting delivery dates • Reduce production costs. • Rapid response to market demands • Reduce lead time • Progress towards zero defects • Progress towards zero inventory • Improve management knowledge and information • Marketing – market share • Improve and increase team work collaboration • Improve customer and supplier relationships • Improve procurement management and control\ • Management strategic planning • Improve human resources management • Improve enterprise integration • Continuous improvement • Environmental production The suitability of each method to a specific objective is graded according to the following grades. a – Excellent for specific dedicated objective b – Very good c – Good d – Fair This paper focuses on assisting managers to evaluate and select the most appropriate manufacturing method or methods