Journal of Intelligent Manufacturing
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A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network
Journal of Intelligent Manufacturing - Tập 28 - Trang 191-206 - 2014
In this study, the design of a two-echelon distribution supply chain network for the seasonal products with multiple vendors (manufacturers) and buyers (retailers), and a set of warehouses for each vendor are considered. The locations of the buyers are known and the capacity of the warehouses is restricted while the buyers purchase different products from the vendors under all unit discount policy...... hiện toàn bộ
Research on adaptive CNC machining arithmetic and process for near-net-shaped jet engine blade
Journal of Intelligent Manufacturing - Tập 31 Số 3 - Trang 717-744 - 2020
Flow-shop sequencing using hybrid simulated annealing
Journal of Intelligent Manufacturing - Tập 15 - Trang 317-328 - 2004
Simulated annealing (SA) heuristics have been successfully applied on a variety of complex optimization problems. This paper presents a new hybrid SA approach for the permutation flow-shop scheduling (FSS) problem. FSS is known to be NP-hard, and thus the right way to proceed is through the use of heuristics techniques. The proposed approach combines the characteristics of a canonical SA procedure...... hiện toàn bộ
A knowledge-based approach to design for manufacturability
Journal of Intelligent Manufacturing - Tập 4 - Trang 355-366 - 1993
In the light of growing global competition, organizations around the world today are constantly under pressure to produce high-quality products at an economical price. The integration of design and manufacturing activities into one common engineering effort has been recognized as a key strategy for survival and growth. Design for manufacturability (DFM) is an approach to design that fosters the si...... hiện toàn bộ
A hypergraph and perspective approach to organic synthesis design
Journal of Intelligent Manufacturing - Tập 7 - Trang 515-525 - 1996
Various computer programs for organic synthesis design greatly assist chemists in the task of synthesizing chemical compounds. Despite the value of such programs, however, their common and collective failing is that they disrupt the chemists' natural flow of thought, by interrupting their concentration on chemistry and repeatedly forcing them to attend to computing. This problem originates in the ...... hiện toàn bộ
Acquiring, storing and utilizing process planning knowledge using neural networks
Journal of Intelligent Manufacturing - Tập 3 - Trang 333-344 - 1992
An approach is formulated for the automated acquisition of process selection and within-feature process sequencing knowledge from examples using neural networks. Network architecture, problem representation and performance issues are discussed.
Design of neural network-based estimator for tool wear modeling in hard turning
Journal of Intelligent Manufacturing - Tập 19 - Trang 383-396 - 2008
Hard turning with cubic boron nitride (CBN) tools has been proven to be more effective and efficient than traditional grinding operations in machining hardened steels. However, rapid tool wear is still one of the major hurdles affecting the wide implementation of hard turning in industry. Better prediction of the CBN tool wear progression helps to optimize cutting conditions and/or tool geometry t...... hiện toàn bộ
Data mining for fast and accurate makespan estimation in machining workshops
Journal of Intelligent Manufacturing - Tập 32 - Trang 483-500 - 2020
The fast and accurate estimation of makespan is essential for the determination of the delivery date and the sustainable development of the enterprise. In this paper, a high-quality training dataset is constructed and an adaptive ensemble model is proposed to achieve fast and accurate makespan estimation. First, both the logistics features extracted by the Pearson correlation coefficient and the n...... hiện toàn bộ
Multi-objective optimisation of pulsed Nd:YAG laser cutting process using integrated ANN–NSGAII model
Journal of Intelligent Manufacturing - Tập 29 - Trang 175-190 - 2015
The paper presents an integrated model of artificial neural networks (ANNs) and non-dominated sorting genetic algorithm (NSGAII) for prediction and optimization of quality characteristics during pulsed Nd:YAG laser cutting of aluminium alloy. A full factorial experiment has been conducted where cutting speed, pulse energy and pulse width are considered as controllable input parameters with surface...... hiện toàn bộ
Towards Ontology-driven Knowledge Synthesis for Heterogeneous Information Systems
Journal of Intelligent Manufacturing - - 2006
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