Artificial Neural Network and Metaheuristic Strategies: Emerging Tools for Metal Cutting Process Optimization

Artificial Neural Network and Metaheuristic Strategies: Emerging Tools for Metal Cutting Process Optimization

Indrajit Mukherjee (Bengal Engineering and Science University, India) and Pradip Kumar Ray (Indian Institute of Technology Kharagpur, India)
DOI: 10.4018/978-1-59904-582-5.ch019
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Application of optimization tools and techniques is necessary and an essential requirement for any metal cutting-based manufacturing unit to respond effectively to severe competitiveness and increasing demand of quality product in the global market. However, both problem types and techniques employed are diverse. Often the context of the problem involves building nonlinear inferential response surface model(s) of the process(s), and then determine levels of inputs and in-process parameters that result in best (or significantly improved than existing) measures of process quality improvement and effectiveness. Selecting the appropriate levels or settings of inputs and in-process variables is a typical example of desired process effectiveness. However, determination of optimal process conditions, using appropriate solution methodology through cost-effective inferential nonlinear response surface model(s) is a challenging and continual research endeavour for researchers and practitioners. In this context, artificial neural network (ANN) and metaheuristic strategies, such as genetic algorithm (GA), simulated annealing (SA), and tabu search (TS), either in its original form or its variant, has been shown to yield promising outcomes for solving nonlinear response surface optimization problems in metal cutting process(s). The goal of this chapter is to assess the status and scope of artificial neural network-based inferential model, GA, SA, and TS-based metaheuristic search stategies in metal cutting processes. Subsequently, a solution methodology for nonlinear response surface optimization in metal cutting processes is proposed for the benefits of selection of an appropriate technique. Specific application in a multiple response grinding process optimization problem using ANN, realvalued genetic algorithm, simulated annealing, and a modified tabu search is also provided for a clearer understanding of the settings, where the proposed methodology is being used.

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Table of Contents
Angappa Gunasekaran
Dipak Laha, Purnendu Mandal
List of Reviewers
Chapter 1
Dipak Laha
Manufacturing scheduling plays a very important function in successful operation of the production planning and control department of an... Sample PDF
Heuristics and Metaheuristics for Solving Scheduling Problems
Chapter 2
Anoop Prakash, Nagesh Shukla, Ravi Shankar, Manoj Kumar Tiwari
Artificial intelligence (AI) refers to intelligence artificially realized through computation. AI has emerged as one of the promising computer... Sample PDF
Solving Machine Loading Problem of FMS: An Artificial Intelligence (AI) Based Random Search Optimization Approach
Chapter 3
Petros Theodorou, Dimitrios Karyampas
Information technology has been proved to be a strategic weapon in the business armory for the creation and sustention of competitive advantage... Sample PDF
Computational Intelligence in the Financial Functions of Industrial Firms
Chapter 4
M. Reza Abdi
The aim of this chapter is to investigate the decision process of manufacturing systems (MSs) under uncertain conditions. The decision process needs... Sample PDF
Fuzzy Sets and Analytical Hierarchical Process for Manufacturing Process Choice
Chapter 5
Supriyo Roy, S. Mukhopadhyay, P.P. Sengupta
Here, an attempt has been made to determine an optimal solution of a deterministic production-inventory model that consists of single deteriorating... Sample PDF
Computational Intelligence Approach on a Deterministic Production-Inventory Control Model with Shortages
Chapter 6
Tshilidzi Marwala, Christina Busisiwe Vilakazi
Condition monitoring techniques are described in this chapter. Two aspects of condition monitoring process are considered: (1) feature extraction;... Sample PDF
Condition Monitoring Using Computational Intelligence
Chapter 7
Narendra S. Chaudhari, Xue-Ming Yuan
This chapter briefly reviews forecasting features of typical data mining software, and then presents the salient features of SIMForecaster, a... Sample PDF
Demand Forecasting of Short Life Span Products: Issues, Challenges, and Use of Soft Computing Techniques
Chapter 8
Jose D. Montero
This chapter provides a brief introduction to data mining, the data mining process, and its applications to manufacturing. Several examples are... Sample PDF
Introduction to Data Mining and its Applications to Manufacturing
Chapter 9
Rajkumar Roy, Ashutosh Tiwari, Yoseph Tafasse Azene, Gokop Goteng
This chapter presents an overview of the application of evolutionary computing for engineering design. An optimal design may be defined as the one... Sample PDF
Evolutionary Computing in Engineering Design
Chapter 10
Reinaldo Moraga, Luis Rabelo, Alfonso Sarmiento
In this chapter, the authors present general steps towards a methodology that contributes to the advancement of prediction and mitigation of... Sample PDF
Towards a Methodology for Monitoring and Analyzing the Supply Chain Behavior
Chapter 11
Prasanta Kumar Dey
The evaluation and selection of industrial projects before investment decision is customarily done using marketing, technical, and financial... Sample PDF
Decision Support System for Project Selection
Chapter 12
Petr Fiala
The chapter is devoted to modeling and analysis of supply systems. Supply chain management is more and more affected by network and dynamic business... Sample PDF
Modeling and Coordination of Dynamic Supply Networks
Chapter 13
Mahendran Maliapen
This chapter examines the application of system archetypes as a systems development methodology to create simulation models. Rapid organizational... Sample PDF
Modeling with System Archetypes: A Case Study
Chapter 14
Fergal Carton, Frederic Adam
The provision of timely, accurate, relevant, and concise information for managerial decision making has traditionally represented a challenge to... Sample PDF
Integrated Manufacturing Applications and Management Decision Making: Putting the P Back into ERP
Chapter 15
John A. Hines
More and more, internal applications are being moved from legacy systems into a more flexible Webbased environment. The issue concerning World Wide... Sample PDF
Planning and Deployment of Dynamic Web Technologies for Supporting E-Business
Chapter 16
Rajib Goswami, Pankaj Barua
This chapter elaborates the basic concepts underlying the development of Web-based decision support systems (DSS) with a discussion on the key... Sample PDF
Web-Based Decision Support System: Concept and Issues
Chapter 17
Xian-Chuan Yu, Ting Zhang, Li-Bo Zhang, Hui He, Wei Zou, Meng Yang
Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are as... Sample PDF
Independent Component Analysis and its Applications to Manufacturing Problems
Chapter 18
Swagatam Das, Amit Konar
This chapter explores the scope of biologically inspired swarm intelligence (SI) into production management with special emphasis in two specific... Sample PDF
Swarm Intelligence in Production Management and Engineering
Chapter 19
Indrajit Mukherjee, Pradip Kumar Ray
Application of optimization tools and techniques is necessary and an essential requirement for any metal cutting-based manufacturing unit to respond... Sample PDF
Artificial Neural Network and Metaheuristic Strategies: Emerging Tools for Metal Cutting Process Optimization
Chapter 20
A. Denby, J. F. Poliakoff, C. Langensiepen, N. Sherkat
In CAD/CAM, reverse engineering involves obtaining a CAD model from an object that already exists. An exact replica can then be produced, or... Sample PDF
Intelligent Laser Scanning of 3D Surfaces Using Optical Camera Data
Chapter 21
Qingyu Zhang, Richard S. Segall
This chapter illustrates the use of data mining as a computational intelligence methodology for forecasting data management needs. Specifically... Sample PDF
Using Data Mining for Forecasting Data Management Needs
Chapter 22
Sundar Srinivasan, Scott E. Grasman
The advent of the Web as a major means of conducting business transactions and business-to-business communications, coupled with evolving Web-based... Sample PDF
Supply Network Planning Models Using Enterprise Resource Planning Systems
Chapter 23
Purnendu Mandal, Enrique ("Henry") Venta
Modeling is a great approach to analyze long-term consequences of policy options in manufacturing. In this chapter two modeling approaches are... Sample PDF
Modeling and Analysis for Production Performance: Analysis of U.S. Manufacturing Companies
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