An integrated tool planning and production planning problem for flexible manufacturing systems using genetic algorithm

Authors:
Zubair M. Mohamed;Manish Bachlaus
Affiliations:
Department of Management, Western Kentucky University, Bowling Green, KY 42101, USA.;Department of Manufacturing Engineering, Research Promotion Cell, National Institute of Foundry & Forge Technology, Ranchi, 834003, India
Venue:
International Journal of Intelligent Systems Technologies and Applications
Year:
2007

Citing 12
Cited 1

Postindustrial manufacturing

Harvard Business Review
A study of permutation crossover operators on the traveling salesman problem

Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Loading tools to machines in flexible manufacturing systems

Computers and Industrial Engineering
Computer-aided manufacturing

Computer-aided manufacturing
A synthesis of decision models for tool management in automated manufacturing

Management Science
Integrating machining speed, part selection and machine loading decisions in flexible manufacturing systems

Computers and Industrial Engineering
Evaluation of alternative tool combinations in a flexible manufacturing system

Computers and Industrial Engineering
FMS tool change schemes and their characteristics

ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
A production planning model for flexible manufacturing systems with setup cost consideration

ICC&IE '94 Proceedings of the 17th international conference on Computers and industrial engineering
Using genetic algorithms in process planning for job shop machining

IEEE Transactions on Evolutionary Computation
Elitism-based compact genetic algorithms

IEEE Transactions on Evolutionary Computation
Solving Part-Type Selection and Operation Allocation Problems in an FMS: An Approach Using Constraints-Based Fast Simulated Annealing Algorithm

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Operation allocation in automated manufacturing system using GA-based approach with multifidelity models

Robotics and Computer-Integrated Manufacturing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel concept of integrating tool planning and production planning problems in flexible manufacturing system. A mathematical objective function has been formulated that minimises the broad objectives of total costs comprising various parameters such as tool room capacity, tool budget, tool regrinding and procurement lead times, ordering, setup, holding and back-ordering costs of tools and parts. This paper explores the integrating notion by utilising the genetic-based search methodology. An illustrative example is taken into account for demonstrating the robustness of the proposed model. Genetic Algorithm (GA) has been implemented in the example under consideration and its performance is compared with Tabu Search (TS) and Simulated Annealing (SA). The extensive computations over the problems of varying complexities and dimensions prove the superiority of genetic algorithm. It has been observed that GA outperforms the standard algorithms (TS and SA) in the context of the underlying problem.