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Explore the concepts of Design for Assembly and Disassembly (DFAD), integration of AI in DFAD, and Cooperation Requirement Planning (CRP) in the assembly process. Learn about the extended framework for CRP including Conflict Resolution and Error Recovery modules, addressing conflict situations and expected cost management. Discover future challenges and opportunities in web-enabled assembly, micro-assembly, and enhanced decision-making systems.
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ASSEMBLY AND DISASSEMBLY: AN OVERVIEW ANDFRAMEWORK FOR COOPERATION REQUIREMENT PLANNINGWITH CONFLICT RESOLUTION in Journal of Intelligent and Robotic Systems Vol:37, 2003. S. Y. NOF and J. CHEN Presented By – Ajit Vaze
Assembly Building together certain individual parts , subassemblies and substances in a given quantity and within a given time period. Disassembly All processes that break down the structure of geometrically defined bodies within a given time period.
Design for Assembly and Disassembly (DFAD) • Considers issues that will affect assembly during the design procedure and the assembly’s life-cycles. • Integrates the specific domain knowledge of manufacturing, design and decision-making • Aims to reduce the cost of assembly and improve its quality.
DFAD • Product simplification which leads to part’s cost reduction. • Reduction in inventory • Reduction in record keeping • Improvement in material and production flow
Integration of AI in DFAD • Need: Complexity of assembly and product design. • Benefits: • Improved design quality with fewer errors. • Less training and expertise necessary for designers for utilizing CAD tools. • On-line advice on how to improve design work. • AI can reduce the cycle time of the design procedure.
Ways to introduce AI in DFAD • Rule based knowledge systems • KBS for interface with assembly CAD • KBS for interface with facility design • KBS for assembly and manufacturing design • Constraint net knowledge systems. • AI in assembly planning
AI in Assembly Planning • Assembly knowledge representation • Assembly sequence generation and planning • Integrated assembly and task planning
Cooperation Requirement Planning (CRP) • CRP- I : Applies assembly planning techniques to generate the cooperation measures for assembly tasks. • CRP – II : Generates global assembly plan by applying best first search method.
Cooperation Requirement Planning (CRP) • Interaction conflicts resolved by time delays, communication methods, or path modifications. • Cooperation considered throughout the planning • Minimal constraints on the plan for maximum flexibility. • Generate plans that can be completed most effectively with the available equipments. • Integrates assembly sequence planning with execution task planning.
Extended Framework for CRP (ECRP) Introduction of following modules along with cooperation requirement planning : • Conflict Resolution Module : Detects conflicts inside the CRP and solves the identified conflicts. • Error Recovery Module : Checks the received error information and recovers from the error automatically.
Extended Framework for CRP (ECRP) • ERROR RECOVERY • NEFUSER : Neural Fuzzy System for Error Recovery. • Recognition and recovery from different types of errors • Data supplied from touch or optical sensors • Data processed as on-line learning source.
Extended Framework for CRP (ECRP) Conflict Resolution • Possible types of conflicts: • Interference among machines • interference among material flow • Effects of conflicts • Redesign of the facility and/or product • Regeneration of assembly execution plan
Mcr System • Objectives • Automatic detection of potential conflicts • Automatic resolution of conflict • Prevention of future conflicts This system is incorporated in Facility Description Language (FDL). The resulting version is FDL-CR (Lara and Nof, 2001)
Mcr System Four typical conflict situations • Conflict situation during layout design. • Conflict during determination of product routing • Conflict during selection and programming of robotic equipment • Conflict during selection of visual sensors
Mcr System Five stages of conflict resolution • Direct negotiation • Incorporation of additional parties • Third party mediation • Persuasion • Arbitration
Results • Improved performance of method • Computer based learning increased usefulness of the method • Increased effectiveness of the facility design process • Significant reduced cost
Future Challenges • Web-Enabled Assembly and Disassembly • Synchronous communication and manipulation of 3-D part models on the Web • Full integration of devices for assembly • Web-based systems for decision making activities and conflict resolution
Future Challenges • Micro assembly • Preparation of parts to be assembled • Transportation of parts • Positioning and fixing the finished system • Connecting the parts • Testing and measuring the finished system • Integration of micro assembly with micro-product design and micro-robot design.
Questions??? Thank You