ASSEMBLY AND DISASSEMBLY: AN OVERVIEW AND FRAMEWORK FOR COOPERATION REQUIREMENT PLANNING WITH CONFLICT RESOLUTION in Journal of Intelligent and Robotic.

Slides:



Advertisements
Similar presentations
Pat Langley Computational Learning Laboratory Center for the Study of Language and Information Stanford University, Stanford, California
Advertisements

YUSUF OZ FATIH BOLUKBAS HUSEYIN ANIL KARABULUT SITE LAYOUT.
C3 – THE IMPACT OF CAD/CAM ON MANUFACTURING Option C: CAD/CAM.
1 Chapter 2: Product Development Process and Organization Introduction Importance of human resources: Most companies have similar technology resources.
Case Tools Trisha Cummings. Our Definition of CASE  CASE is the use of computer-based support in the software development process.  A CASE tool is a.
T-FLEX DOCs PLM, Document and Workflow Management.
2008/03/25 Unified Modeling Lanauage 1 Introduction to Unified Modeling Language (UML) – Part One Ku-Yaw Chang Assistant Professor.
Agent Mediated Grid Services in e-Learning Chun Yan, Miao School of Computer Engineering Nanyang Technological University (NTU) Singapore April,
Knowledge Acquisitioning. Definition The transfer and transformation of potential problem solving expertise from some knowledge source to a program.
Chapter 1 Assuming the Role of the Systems Analyst
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
Lecture 13 Revision IMS Systems Analysis and Design.
presented by Zümbül Bulut
Operations Management and Technology Ross L. Fink.
Specialized Business Information Systems Chapter 11.
Marakas: Decision Support Systems, 2nd Edition © 2003, Prentice-Hall Chapter Chapter 7: Expert Systems and Artificial Intelligence Decision Support.
Chapter 1 Assuming the Role of the Systems Analyst
Behavior- Based Approaches Behavior- Based Approaches.
MSIS 110: Introduction to Computers; Instructor: S. Mathiyalakan1 Specialized Business Information Systems Chapter 11.
ECEN 619 “Internet Protocols and Modeling” Course Materials: Papers, Reference Texts: Bertsekas/Gallager, Stuber, Stallings, etc Lecture notes and Paper.
Management 11e John Schermerhorn
“Get outa here!”.
Eleventh Edition 1 Introduction to Essentials for Information Systems Irwin/McGraw-Hill Copyright © 2002, The McGraw-Hill Companies, Inc. All rights reserved.
Scheduling PREREQUISITES FOR EFFECTIVE SCHEDULING.
Matthew J Mattia CSC  Cumbersome Code  Consistent/Predictable design (GUEPs #5, CD’s #10)  Display “proper” amount of information  Including.
Manufacturing Engineering Department Lecture 1 - Introduction
Operations Management
9-1 Organizational Design, Competences, and Technology Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall.
Katanosh Morovat.   This concept is a formal approach for identifying the rules that encapsulate the structure, constraint, and control of the operation.
Introduction to Computer Aided Process Planning
Chapter 15: Computer-Integrated Manufacturing Systems
Chapter 11 Production and Operations Management Learning Goals
Introduction In recent years, products are required to follow the trend of fashion. It is very popular in using freeform surface to design the model of.
The Electronic Geometry Textbook Project Xiaoyu Chen LMIB - Department of Mathematics Beihang University, China.
Introduction to Business 3e 9 Part III: Management Copyright © 2004 South-Western. All rights reserved. Improving Productivity and Quality.
PLUG IT IN 5 Intelligent Systems. 1.Introduction to intelligent systems 2.Expert Systems 3.Neural Networks 4.Fuzzy Logic 5.Genetic Algorithms 6.Intelligent.
11 C H A P T E R Artificial Intelligence and Expert Systems.
Work Cell Design and Control
COPYRIGHT © 2008 Thomson South-Western, a part of The Thomson Corporation. Thomson, the Star logo, and South-Western are trademarks used herein under license.
Lecture Outline 5 Manufacturing Systems (Production and Operations Management) p. 304+
Part 3 Managing for Quality and Competitiveness © 2015 McGraw-Hill Education.
Ch. 20: Operation systems Learning Objectives Distinguish among various types of production and manufacturing processes. Describe product innovation.
Fundamentals of Information Systems, Third Edition2 Principles and Learning Objectives Artificial intelligence systems form a broad and diverse set of.
Product Architecture, Industrial Design, Design for Manufacturing.
Principles of Information Systems, Sixth Edition Specialized Business Information Systems Chapter 11.
Quality Assurance.
CONCEPT OF MIS. Management “Management can be defined as a science of using resources rationally (utilization of resources in judicious manner using appropriate.
Chapter Nineteen Understanding Information and e-Business.
CCR Deadlock By: Laura Weiland April 30, Project Description Implement a module to the Train Operating System (TOS) that manages the deadlock problem.
Fundamentals of Information Systems, Third Edition1 The Knowledge Base Stores all relevant information, data, rules, cases, and relationships used by the.
Artificial Intelligence, Expert Systems, and Neural Networks Group 10 Cameron Kinard Leaundre Zeno Heath Carley Megan Wiedmaier.
© 2013, published by Flat World Knowledge Chapter 10 Understanding Software: A Primer for Managers 10-1.
Census Processing Baku Training Module.  Discuss:  Processing Strategies  Processing operations  Quality Assurance for processing  Technology Issues.
 An Information System (IS) is a collection of interrelated components that collect, process, store, and provide as output the information needed to.
UNIT-III Group Technology and Computer Aided Process Planning
Fundamentals of Information Systems, Third Edition 1 Information and Decision Support Systems: Management Information Systems Management information system.
Artificial Intelligence: Research and Collaborative Possibilities a presentation by: Dr. Ernest L. McDuffie, Assistant Professor Department of Computer.
McGraw-Hill/Irwin  The McGraw-Hill Companies, Inc. 2007, All Rights Reserved Supply Chain Management Chapter 10.
Artificial Intelligence Knowledge Representation.
ANASOFT VIATUS. Challenges Supply chain optimization is necessary for achieving competitive price of final products Synchronization and utilization of.
Introduction to Computer Aided Process Planning
Kozeta Sevrani - Sistemet e Informacionit11.1 Specialized Business Information Systems Chapter 11.
Chapter 1 Assuming the Role of the Systems Analyst.
Introduction to Machine Learning, its potential usage in network area,
ISLANDS OF AUTOMATION.
Fundamentals of Information Systems, Sixth Edition
Information Systems in Organizations 2
Chapter 6A Facility Layout 2.
Introduction to Scheduling Chapter 1
T-FLEX DOCs PLM, Document and Workflow Management.
Presentation transcript:

ASSEMBLY AND DISASSEMBLY: AN OVERVIEW AND FRAMEWORK FOR COOPERATION REQUIREMENT PLANNING WITH CONFLICT RESOLUTION in Journal of Intelligent and Robotic Systems Vol:37, Vol:37, S. Y. NOF and J. CHEN Presented By – Ajit Vaze

Assembly Example

Assembly Building together certain individual parts, subassemblies and substances in a given quantity and within a given time period. 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. 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. Need: Complexity of assembly and product design. Benefits: Improved design quality with fewer errors. Improved design quality with fewer errors. Less training and expertise necessary for designers for utilizing CAD tools. Less training and expertise necessary for designers for utilizing CAD tools. On-line advice on how to improve design work. On-line advice on how to improve design work. AI can reduce the cycle time of the design procedure. 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 : 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 : NEFUSER : Neural Fuzzy System for Error Recovery. Recognition and recovery from different types of errors Recognition and recovery from different types of errors Data supplied from touch or optical sensors Data supplied from touch or optical sensors Data processed as on-line learning source. Data processed as on-line learning source.

NEFUSER

Extended Framework for CRP (ECRP) Conflict Resolution Possible types of conflicts: Interference among machines Interference among machines interference among material flow interference among material flow Effects of conflicts Redesign of the facility and/or product Redesign of the facility and/or product Regeneration of assembly execution plan Regeneration of assembly execution plan

Mcr System Objectives Automatic detection of potential conflicts Automatic detection of potential conflicts Automatic resolution of conflict Automatic resolution of conflict Prevention of future conflicts 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 PersuasionArbitration

Results Improved performance of method Computer based learning increased usefulness of the method Increased effectiveness of the facility design process Significant reduced cost

Results Expected Cost without Mcr (Unbounded Cost)

Results Expected Cost with Mcr (Bounded Cost)

Future Challenges Web-Enabled Assembly and Disassembly Synchronous communication and manipulation of 3-D part models on the Web Synchronous communication and manipulation of 3-D part models on the Web Full integration of devices for assembly Full integration of devices for assembly Web-based systems for decision making activities and conflict resolution Web-based systems for decision making activities and conflict resolution

Future Challenges Micro assembly Preparation of parts to be assembled Preparation of parts to be assembled Transportation of parts Transportation of parts Positioning and fixing the finished system Positioning and fixing the finished system Connecting the parts Connecting the parts Testing and measuring the finished system Testing and measuring the finished system Integration of micro assembly with micro- product design and micro-robot design. Integration of micro assembly with micro- product design and micro-robot design.

Questions??? Thank You