Issues in environmentally conscious manufacturing and product recovery: a survey
Computers and Industrial Engineering - Special issue on o/perational issues in environmentally conscious manufacturing
Grouping genetic algorithms: an efficient method to solve the cell formation problem
Mathematics and Computers in Simulation - Special issue from the IMACS/IFAC international symposium on soft computing methods and applications: “SOFTCOM '99” (held in Athens, Greece)
Modular product design with grouping genetic algorithm: a case study
Computers and Industrial Engineering
Design for environment: an environmental analysis model for the modular design of products
ISEE '03 Proceedings of the Electronics and the Environment, 2003. on IEEE International Symposium
Modularity in design of products and systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An XML based supply chain integration hub for green product lifecycle management
Expert Systems with Applications: An International Journal
Green product design through product modularization using atomic theory
Robotics and Computer-Integrated Manufacturing
Nested partitions method for assembly sequences merging
Expert Systems with Applications: An International Journal
Genetically optimised disassembly sequence for automotive component reuse
Expert Systems with Applications: An International Journal
The development of an innovative design process for eco-efficient green products
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - Volume Part III
| Hi-index | 12.06 |
The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers' needs. However, frequent variation of product specifications causes the assembly and disassembly of components and modules to become more and more complicated. As a result, the issue of product modular design is a problem worthy of concern. In this study, engineering attributes were added to the liaison graph model for the evaluation of part connections. The engineering attributes added, including contact type, combination type, tool type, and accessed direction, serve to offer designers criteria for evaluating the component liaison intensity during the design stage. A grouping genetic algorithm (GGA) is then employed for clustering the components and crossover mechanisms are modified according to the need of modular design. Furthermore, a reasonable green modular design evaluation is conducted using the green material cost analysis. According to the results, adjusted design proposals are suggested and materials that cause less pollution are recommended to replace the components with pollution values higher than those in the module. Finally, the authors use Borland C++ 6.0 to evaluate the system and clustering method. To illustrate the methodology proposed in this study, a table lamp is offered as an example.