The ever‐increasing demand for rationalization of manufacturing activities requires closer co‐operation and integration between design and production planning. Since the impact on the overall cost of production of designing a product for ease of assembly was realized, feedback from assembly planning to the design process has become important for improving the design. Traditionally, planning for assembly takes place after the design of the product has been completed. Often it proves necessary to modify a design, because some aspect is not particularly convenient or efficient under the available assembly facilities. However, considerable time and cost savings can be made by making assembly‐planning information available to design engineers, so that they can take account of assembly factors when designing a product.
Article navigation
Review Article|
March 01 1992
ASSEMBLY/DISASSEMBLY SEQUENCE PLANNING
Publisher: Emerald Publishing
Online ISSN: 1758-4078
Print ISSN: 0144-5154
© MCB UP Limited
1992
Assembly Automation (1992) 12 (3): 31–38.
Citation
Yokota K, Brough D (1992), "ASSEMBLY/DISASSEMBLY SEQUENCE PLANNING". Assembly Automation, Vol. 12 No. 3 pp. 31–38, doi: https://doi.org/10.1108/eb004372
Download citation file:
419
Views
New and popular articles
Suggested Reading
Disassembly sequence planning for maintenance based on metaheuristic method
Aircraft Engineering and Aerospace Technology: An International Journal (May,2011)
Selective disassembly sequence optimization based on the improved immune algorithm
Robotic Intelligence and Automation (March,2023)
Optimal disassembly sequencing strategy using constraint programming approach
Journal of Quality in Maintenance Engineering (March,2008)
Disassembly processes with disassembly matrices and effects of operations
Assembly Automation (September,2009)
Generating disassembly tasks for selective disassembly using ontology-based disassembly knowledge representation
Assembly Automation (December,2017)
Related Chapters
Balancing a sequence-dependent disassembly line using simulated annealing algorithm
Applications of Management Science
Deterministic hybrid and stochastic combinatorial optimization treatments of an electronic product disassembly line
Applications of Management Science: In Productivity, Finance, and Operations
Calculating disassembly yields in a multi-criteria decision-making environment for a disassembly-to-order system
Applications of Management Science: In Productivity, Finance, and Operations
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
