Appendix A. Examples of configurations of robotic flexible assembly cells (Figs. A.1, A.2, A.3 and A.4).

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1 Appendix A Examples of configurations of robotic flexible assembly cells (Figs. A.1, A.2, A.3 and A.4). Fig. A.1 Robots assembly cell (Pelagagge et al. 1995) Fig. A.2 A two-robot assembly cell (Jiang et al. 1998) Springer International Publishing Switzerland 2016 K.K. Abd, Intelligent Scheduling of Robotic Flexible Assembly Cells, Springer Theses, DOI /

2 152 Appendix A Fig. A.3 A two-robot assembly cell (Lee and Lee 2002) Fig. A.4 A robotic flexible assembly cell (Marian et al. 2003) References Jiang, K., Seneviratne, L. D., & Earles, S. W. E. (1998). Scheduling and compression for a multiple robot assembly workcell. Production Planning & Control: The Management of Operations. 9(2), Lee, J. K., & Lee, T.E. (2002). Automata-based supervisory control logic design for a multi-robot assembly cell. International Journal of Computer Integrated Manufacturing. 15(4), Marian, R. M., Kargas, A., Luong, L.H. S., & Abhary, K. (2003). A framework to planning robotic flexible assembly cells. 32nd International Conference on Computers and Industrial Engineering (pp ). Limerick, Ireland. Pelagagge, P. M., Cardarelli, G., & Palumbo, M. (1995). Design criteria for cooperating robots assembly cells. Journal of Manufacturing Systems. 14(4),

3 Appendix B SIMPROCESS activities that are used to build and simulate the assembling processes in RFAC. Icon Element Description Generate Produces entities according to a selected format, typically according to a selected statistical distribution, but uses no resources Dispose Get resource Disposes of an entity, using no resources and requiring no simulation time Provides a mechanism for capturing resources such as assembly station that may be used for a number of downstream activities Free resource Provides a mechanism for releasing resources that were captured by a GET RESOURCE activity Delay Assemble Branch Merge Gate Represents any activity during which an entity is delayed for a specified time in its progress through the model (system) Involves the combining of listed entities into a new output entity. For example, the development of a business proposal may contain three documents that are merged using an assembly activity Allows for defining alternative routings for flow objects. Branching may be based on a probability or a condition. For example, the outcome of an inspection process may be modeled using probabilistic branching Provides a mechanism for merging a number of connectors into a single connector Holds entities in a queue, until a signal is received. For example, a GATE activity would be used to model orders held in inventory until a signal is received from the distributor to fulfil the demand (continued) Springer International Publishing Switzerland 2016 K.K. Abd, Intelligent Scheduling of Robotic Flexible Assembly Cells, Springer Theses, DOI /

4 154 Appendix B Icon Element Description Join Assign Takes the clones and original entity that were split up, and matches them to produce the original one. For example, a JOIN activity may be used for matching the paperwork with the shipment Provides a mechanism for defining or changing attributes values Transfer Routes entities from one portion of a model to another without using a connector, or routes entities to another model

5 Appendix C Fuzzy rules and surface plots of the inputs/output for three scenarios (Table C.1; Fig. C.1). Table C.1 Fuzzy rules under different scenarios S/N ratio for MPCI S/N of C max S/N of TD S/N of N TD Scenario 1 Scenario 2 Scenario 3 Low Low Low Tiny Tiny Tiny Medium Tiny Tiny Tiny High Very Small Very Small Tiny Medium Low Very Small Very Small Very Small Medium Very Small Small Very Small High Very Small Small Very Small High Low Small Small Very Small Medium Small Small Very Small High Small Medium Small Medium Low Low Small Medium Small Medium Small Medium Small High Small Medium Medium Medium Low Medium Medium Medium Medium Medium Medium Medium High Medium Medium Medium High Low Large Large Medium Medium Large Large Large High Large Large Large (continued) Springer International Publishing Switzerland 2016 K.K. Abd, Intelligent Scheduling of Robotic Flexible Assembly Cells, Springer Theses, DOI /

6 156 Appendix C Table C.1 (continued) S/N ratio for MPCI S/N of C max S/N of TD S/N of N TD Scenario 1 Scenario 2 Scenario 3 High Low Low Large Large Large Medium Large Large Very Large High Large Very Large Very Large Medium Low Very Large Very Large Very Large Medium Very Large Very Large Very Large High Very Large Very Large Very Large High Low Very Large Huge Huge Medium Huge Huge Huge High Huge Huge Huge

7 Appendix C 157 Scenario 1 Scenario 2 Scenario 3 Fig. C.1 3D surface plots of the inputs/output under different scenarios

8 Appendix D Results of the sensitivity analysis for FAHP-FTOPSIS (Tables D.1, D.2, D.3, D.4, D.5 and D.6). Table D.1 The results of increasing/decreasing the weight of individual criteria scenario 1 Alternatives dj þ dj cc j Rank A A A A A A A A A Table D.2 The results of increasing/decreasing the weight of individual criteria scenario 2 Alternatives dj þ dj cc j Rank A A A A A A A A A Springer International Publishing Switzerland 2016 K.K. Abd, Intelligent Scheduling of Robotic Flexible Assembly Cells, Springer Theses, DOI /

9 160 Appendix D Table D.3 The results of increasing/decreasing the weight of individual criteria scenario 3 Alternatives dj þ dj cc j Rank A A A A A A A A A Table D.4 The results of exchanging criteria weights scenario 1 Alternatives dj þ dj cc j Rank A A A A A A A A A Table D.5 The results of exchanging criteria weights scenario 2 Alternatives dj þ dj cc j Rank A A A A A A A A A

10 Appendix D 161 Table D.6 The results of exchanging criteria weights scenario 3 Alternatives dj þ dj cc j Rank A A A A A A A A A

Curriculum Vitae Khalid Karam Abd University of South Australia e-mail: khalid.abd@mymail.unisa.edu.au http://people.unisa.edu.au/khalid.

11 Curriculum Vitae Khalid Karam Abd University of South Australia Mobile: , Office: Education University of South Australia, Adelaide, Australia: PhD in Advanced Manufacturing Engineering. Thesis title Intelligent Scheduling of Robotic Flexible Assembly Cells University of Technology, Baghdad, Iraq: M.Sc. in Industrial Engineering. Thesis title Computer Aided Planning of Assembly for Mechanical Products University of Technology, Baghdad, Iraq: B.Sc. in Production Engineering Employment History Lecturer and Tutor at University of South Australia Lecturer at University of Technology, Baghdad-Iraq Assistant lecturer at University of Technology, Baghdad-Iraq Work Experience 2014 current Lecturer at University of South Australia. Lectured the following courses: Engineering Dynamic and Engineering Maintenance 2011 current Tutor at University of South Australia. Tutored the following courses: Intelligent Manufacturing Systems, Supply Chain Management, Engineering Dynamic and Intelligent Production Systems (continued) Springer International Publishing Switzerland 2016 K.K. Abd, Intelligent Scheduling of Robotic Flexible Assembly Cells, Springer Theses, DOI /

12 164 Curriculum Vitae Assistant Lecturer/Lecturer at University of Technology. Lectured the following courses: Engineering Drawing, Descriptive Geometry and Manufacturing Processes Special Awards 2013 Young Scientist Award, presented by the Organizing Committee of the International Conference 2013, Adelaide, South Australia 2012 Best Poster Award, 2nd place in Best Poster Award, 1st place in 2011

Curriculum Vitae. :Safa Aldin Abdullah Ali AlNaimi Affiliation (Included Phone and ) : Married

Curriculum Vitae. :Safa Aldin Abdullah Ali AlNaimi Affiliation (Included Phone and ) : Married Curriculum Vitae 1-Personal Information Name :Safa Aldin Abdullah Ali AlNaimi Affiliation (Included Phone and Email) :University of Technology-Chem Eng. Dept. 0TUalnaimi545@yahoo.comU 0T Date of Birth