The aims and objectives stated in Section 1.4 were fulfilled by the research outcomes discussed throughout the dissertation. The research contributions were noted and the advantages of their applications were summarised. A summary of future work recommendations derived from Section 10.7 was presented.
It can be concluded that the on-demand fixture manufacturing cell concept provides a promising technique for the management of reconfigurable fixtures in a mass customisation production system.
Through the implementation of RMS and CM concepts, a mass customisation production system can be implemented with improvements in efficiency, flexibility, responsiveness, and delivery in comparison to job shops and dedicated manufacturing lines. The fixture manufacturing cell can facilitate those advantages through the distribution and management of reconfigurable fixtures via a specialised and centralised cell. Thus, the aim and objectives were met, from which the research question (Section 1.3) can be answered as yes: an on-demand fixture manufacturing cell, with suitable production planning and control, can facilitate the manufacture of customised products.
159
References
[1] X. Yao and Y. Lin, “Emerging manufacturing paradigm shifts for the incoming industrial revolution,” Int. J. Adv. Manuf. Technol., vol. 85, no. 5, pp. 1665–1676, 2016.
[2] F. S. Fogliatto, G. J. C. da Silveira, and D. Borenstein, “The mass customization decade : An updated review of the literature,” Int. J. Prod. Econ., vol. 138, no. 1, pp. 14–25, 2012.
[3] A. Y. C. Nee, Z. J. Tao, and A. V. Senthil Kumar, “Introduction to Fixture Design,” in An Advanced Treatise on Fixture Design and Planning, 1st ed., Singarpore: World Scientific Publishing Co., 2004, pp. 1–20.
[4] Z. M. Bi and W. J. Zhang, “Flexible fixture design and automation: Review, issues and future directions,” Int. J. Prod. Res., vol. 39, no. 13, pp. 2867–2894, 2001.
[5] T. O. Kowang, N. Mohd Hamel, C. S. Long, and A. Mohd Rasli, “Operation Management:
Project Management in Jig and Fixture Industries,” Adv. Mater. Res., vol. 931–932, pp. 1621–
1625, 2014.
[6] B. Esmaeilian, S. Behdad, and B. Wang, “The evolution and future of manufacturing: A review,”
J. Manuf. Syst., vol. 39, pp. 79–100, 2016.
[7] K. Thörnblad, A.-B. Strömberg, M. Patriksson, and T. Almgren, Scheduling optimization of a real flexible job shop including side constraints regarding maintenance, fixtures, and night shifts. Department of Mathematical Sciences, Division of Mathematics, Chalmers University of Technology and University of Gothenburg, 2013.
[8] T. C. Wong, F. T. S. Chan, and L. Y. Chan, “A resource-constrained assembly job shop scheduling problem with Lot Streaming technique,” Comput. Ind. Eng., vol. 57, no. 3, pp. 983–
995, 2009.
[9] J.-M. Yu, H.-H. Doh, J.-S. Kim, D.-H. Lee, and S.-H. Nam, “Scheduling for a Reconfigurable Manufacturing System with Multiple Process Plans and Limited Pallets/Fixtures,” Int. J. Mech.
Aerospace, Ind. Mechatron. Manuf. Eng., vol. 6, no. 2, pp. 232–237, 2012.
[10] H.-H. Doh, J.-M. Yu, and D.-H. Lee, “Priority Scheduling for a Flexible Job Shop with a Reconfigurable Manufacturing Cell,” Ind. Eng. Manag. Syst., vol. 15, no. 1, pp. 11–18, 2016.
[11] O. J. Bakker, T. Papastathis, S. Ratchev, and A. A. . Popov, “Recent research on flexible fixtures for manufacturing processes,” Recent Patents Mech. Eng., vol. 6, no. 2, pp. 107–121, 2013.
[12] Z. M. Bi, S. Y. T. Lang, M. Verner, and P. Orban, “Development of reconfigurable machines,”
Int. J. Adv. Manuf. Technol., vol. 39, no. 11–12, pp. 1227–1251, 2008.
[13] F. T. Piller, K. Moeslein, and C. M. Stotko, “Does mass customization pay? An economic approach to evaluate customer integration,” Prod. Plan. Control, vol. 15, no. 4, pp. 435–444, 2004.
[14] S. Smith, R. Jiao, and C.-H. Chu, “Editorial: Advances in mass customization,” J. Intell. Manuf., vol. 24, no. 5, pp. 873–876, 2013.
[15] S. Chen, Y. Wang, and M. M. Tseng, “Mass customisation as a collaborative engineering effort,”
Int. J. Collab. Eng., vol. 1, pp. 1–28, 2009.
160 [16] B. Squire, S. Brown, J. Readman, and J. Bessant, “The impact of mass customisation on
manufacturing trade-offs,” Prod. Oper. Manag., vol. 15, no. 1, pp. 10–21, 2006.
[17] J. M. Tien, “Data mining requirements for customized goods and services,” Int. J. Inf. Technol.
Decis. Mak., vol. 5, no. 4, pp. 693–698, 2006.
[18] J. H. Mikkola and T. Skjøtt-Larsen, “Supply-chain integration: implications for mass customization, modularization and postponement strategies,” Prod. Plan. Control, vol. 15, no.
4, pp. 352–361, 2004.
[19] M. H. Meyer, “Revitalise your product lines through continuous platform renewal,” Res.
Technol. Manag., vol. 40, no. 2, pp. 17–28, 1997.
[20] J. K. Gershenson, G. J. Prasad, and Y. Zhang, “Product modularity: Definitions and benefits,”
J. Eng. Des., vol. 14, no. 3, pp. 295–313, 2003.
[21] H. Skipworth and A. Harrison, “Implications of form postponement to manufacturing: a case study,” Int. J. Prod. Res., vol. 42, no. 10, pp. 2063–2081, 2004.
[22] H. Wang, Y. Rong, H. Li, and P. Shaun, “Computer aided fixture design: Recent research and trends,” CAD Comput. Aided Des., vol. 42, no. 12, pp. 1085–1094, 2010.
[23] H. Hashemi, A. M. Shaharoun, and S. Izman, “Fixture designers guidance: A review of recent advanced approaches,” Jordan J. Mech. Ind. Eng., vol. 8, no. 6, pp. 377–384, 2014.
[24] T. Kow, A. Kumar, and J. Fuh, “An integrated approach to collision-free computer-aided modular fixture design,” Int. J. Adv. Manuf. Technol., vol. 16, no. 4, pp. 233–242, 2000.
[25] J. F. Hurtado and S. N. Melkote, “A model for synthesis of the fixturing configuration in pin- array type flexible machining fixtures,” Int. J. Mach. Tools Manuf., vol. 42, no. 7, pp. 837–849, 2002.
[26] A. Gameros, S. Lowth, D. Axinte, A. Nagy-Sochacki, O. Craig, and H. R. Siller, “State-of-the- art in fixture systems for the manufacture and assembly of rigid components: A review,” Int. J.
Mach. Tools Manuf., vol. 123, pp. 1–21, 2017.
[27] R. Müller, M. Esser, and M. Vette, “Reconfigurable handling systems as an enabler for large components in mass customized production,” J. Intell. Manuf., vol. 24, no. 5, pp. 977–990, 2013.
[28] A. S. Wallack and J. F. Canny, “Planning for modular and hybrid fixtures,” in IEEE International Conference on Robotics and Automation, 1994, pp. 520–527.
[29] Y. Kang, Y. Rong, and J. C. Yang, “Computer-Aided Fixture Design Verification. Part 1. The Framework and Modelling,” Int. J. Adv. Manuf. Technol., vol. 21, no. 10–11, pp. 827–835, 2003.
[30] Y. Kang, Y. Rong, J. Yang, and W. Ma, “Computer-aided fixture design verification,” Assem.
Autom., vol. 22, no. 4, pp. 350–359, 2002.
[31] Y. Koren et al., “Reconfigurable Manufacturing Systems,” CIRP Ann. - Manuf. Technol., vol.
48, no. 2, pp. 527–540, 1999.
[32] D. E. Toni and S. Tonchia, “Manufacturing flexibility: a literature review,” Int. J. Prod. Res., vol. 36, no. 6, pp. 587–617, 1998.
161 [33] Y. Koren and M. Shpitalni, “Design of reconfigurable manufacturing systems,” J. Manuf. Syst.,
vol. 29, no. 4, pp. 130–141, 2010.
[34] Y. Koren and A. G. Ulsoy, “Vision, principles and impact of reconfigurable manufacturing systems,” Powertrain International, vol. 5, no. 3, pp. 14–21, 2002.
[35] T.-C. Chang, R. A. Wysk, and H.-P. Wang, “Group Technology,” in Computer-Aided Manufacturing, 2nd ed., W. J. Fabrycky and J. H. Mize, Eds. New Jersey: Prentice-Hall, 1998, pp. 471–514.
[36] M. P. Groover, “Group Technology and Cellular Manufacturing,” in Automation, Production Systems, and Computer-Integrated Manufacturing, Second Edi., West Conshohocken, PA:
Prentice-Hall, 2001, pp. 420–459.
[37] R. Timings and S. Wilkinson, “Group Technology and Flexible Manufacturing Systems,” in E- manufacturing - Applications of Advanced Technology to Manufacturing Processes, 1st ed., Essex: Pearson Education, 2003, pp. 176–185.
[38] T. W. Liao, “Group Technology and Cellular Manufacturing,” in Exploring Advanced Manufacturing Technologies, 1st ed., S. Krar and A. Gill, Eds. New York: Industrial Press, 2003, pp. 10-3-1-10-3–11.
[39] A. Gill, “Lean Manufacturing,” in Exploring Advanced Manufacturing Technologies, 1st ed., S.
Krar and A. Gill, Eds. New York: Industrial Press, 2003, pp. 10-2-1-10-2–8.
[40] M. S. Daskin and K. L. Maass, “The p-Median Problem,” in Location Science, 1st ed., G.
Laporte, S. Nickel, and F. S. da Gama, Eds. Springer, 2015, pp. 21–45.
[41] M. Bazargan-Lari, H. Kaebernick, and A. Harraf, “Cell formation and layout designs in a cellular manufacturing environment a case study,” Int. J. Prod. Res., vol. 38, no. 7, pp. 1689–1709, 2000.
[42] M. P. Groover, “Production Planning and Control Systems,” in Automation, Production Systems, and Computer-Integrated Manufacturing, Second Edi., New Jersey: Prentice-Hall, 2001, pp.
796–831.
[43] W. J. Hopp and M. L. Spearman, “To Pull or Not to Pull: What Is the Question?,” Manuf. Serv.
Oper. Manag., vol. 6, no. 2, pp. 133–148, 2004.
[44] G. Gallego, “Material Requirements Planning (MRP),” Columbia University IEOR 4000:
Project Management, 2003. [Online]. Available:
http://www.columbia.edu/~gmg2/4000/pdf/lect_06.pdf. [Accessed: 02-Dec-2017].
[45] C. A. Ptak, “MRP, MRP II, OPT, JIT, and CIM - Succession, Evolution, or Necessary Combination,” Prod. Invent. Manag. J., vol. 32, no. 2, pp. 7–11, 1991.
[46] C. S. Kumar and R. Panneerselvam, “Literature review of JIT-Kanban system,” Int. J. Adv.
Manuf. Technol., vol. 32, no. 3–4, pp. 393–408, 2007.
[47] K. Brown and T. Mitchell, “A comparison of just in time and batch manufacturing the role of performance obstacles,” Acad. Manag. J., vol. 34, no. 4, pp. 906–917, 1991.
[48] F. Giordano and M. M. Schiraldi, “On Just-In-Time Production Leveling,” in Operations Management, M. M. Schiraldi, Ed. InTech, 2013, pp. 141–162.
162 [49] B. J. Blair, “A review of the kanban production control research literature,” Prod. Oper. Manag.,
vol. 1, no. 4, pp. 393–411, 1992.
[50] Kekre and Karmarker, “Batching policy in kanban system,” J. Manuf. Syst., vol. 8, pp. 317–328, 1989.
[51] M. P. Groover, “Lean Production and Agile Manufacturing,” in Automation, Production Systems, and Computer-Integrated Manufacturing, Second., West Conshohocken, PA: Prentice- Hall, 2001, pp. 832–845.
[52] J. Bisschop, Optimization Modeling. Diakenhuisweg: Aimms, 2016.
[53] X. S. Yang, “Mathematical Optimization,” in Introduction to Mathematical Optimization - From Linear Programming to Metaheuristics, Cambridge: Cambridge International Science Publishing, 2008, pp. 3–10.
[54] H. G. Beyer and B. Sendhoff, “Robust optimization - A comprehensive survey,” Comput.
Methods Appl. Mech. Eng., vol. 196, no. 33–34, pp. 3190–3218, 2007.
[55] D. Ouelhadj and S. Petrovic, “A survey of dynamic scheduling in manufacturing systems,” J.
Sched., vol. 12, no. 4, pp. 417–431, 2009.
[56] V. Béla, “The Branch and Bound Method,” in Algorithms on Informatics, 3rd ed., vol. 3, A.
Iványi, Ed. Budapest: AnTonCom, 2011, pp. 1208–1261.
[57] M. L. Pinedo, “Mathematical Programming: Formulations and Applications,” in Scheduling - Theory, Algorithms, and Systems, 3rd ed., New York: Springer, 2008, pp. 559–571.
[58] E. L. Lawler and D. E. . Wood, “Branch-And-Bound Methods : A Survey,” INFORMS Stable, vol. 14, no. 4, pp. 699–719, 1966.
[59] M. L. Pinedo, “Deterministic and Stochastic Dynamic Programming,” in Scheduling - Theory, Algorithms, and Systems, 3rd ed., New York: Springer, 2008, pp. 573–579.
[60] R. Kolisch and S. Hartmann, “Heuristic Algorithms for the Resource-Constrained Project Scheduling Problem: Classification and Computational Analysis,” in Project Scheduling - Recent Models, Algorithms and Applications, vol. 14, New York: Springer, 1999, pp. 147–178.
[61] P. Brucker, A. Drexl, R. Möhring, K. Neumann, and E. Pesch, “Resource-constrained project scheduling: Notation, classification, models, and methods,” Eur. J. Oper. Res., vol. 112, no. 1, pp. 3–41, 1999.
[62] A. Manikas and Y.-L. Chang, “Multi-criteria sequence-dependent job shop scheduling using genetic algorithms,” Comput. Ind. Eng., vol. 56, no. 1, pp. 179–185, 2009.
[63] M. Gen and L. Lin, “Multiobjective evolutionary algorithm for manufacturing scheduling problems: State-of-the-art survey,” J. Intell. Manuf., vol. 25, no. 5, pp. 849–866, 2014.
[64] D. Lei, “Multi-objective production scheduling: A survey,” Int. J. Adv. Manuf. Technol., vol.
43, no. 9–10, pp. 925–938, 2009.
[65] Y. Sun, C. Zhang, L. Gao, and X. Wang, “Multi-objective optimization algorithms for flow shop scheduling problem: A review and prospects,” Int. J. Adv. Manuf. Technol., vol. 55, no. 5–8, pp.
723–739, 2011.
163 [66] M. L. Pinedo, “General Purpose Procedures for Deterministic Scheduling,” in Scheduling -
Theory, Algorithms, and Systems, 3rd ed., New York: Springer, 2008, pp. 371–394.
[67] A. Allahverdi, C. T. Ng, T. C. E. Cheng, and M. Y. Kovalyov, “A survey of scheduling problems with setup times or costs,” Eur. J. Oper. Res., vol. 187, no. 3, pp. 985–1032, 2008.
[68] S. Nguyen, Y. Mei, H. Ma, A. Chen, and M. Zhang, “Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions,” in 2016 IEEE Congress on Evolutionary Computation, 2016, pp. 3053–3060.
[69] R. F. Tavares Neto and M. Godinho Filho, “Literature review regarding Ant Colony Optimization applied to scheduling problems: Guidelines for implementation and directions for future research,” Eng. Appl. Artif. Intell., vol. 26, no. 1, pp. 150–161, 2013.
[70] G. Koulinas, L. Kotsikas, and K. Anagnostopoulos, “A particle swarm optimization based hyper-heuristic algorithm for the classic resource constrained project scheduling problem,” Inf.
Sci. (Ny)., vol. 277, pp. 680–693, Sep. 2014.
[71] N. Bhatt and N. R. Chauhan, “Genetic algorithm applications on Job Shop Scheduling Problem:
A review,” in 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI), 2015, pp. 7–14.
[72] G. H. Brooks and C. R. White, “An algorithm for finding optimal or near-optimal solutions to the production scheduling problem,” J. Ind. Eng., vol. 16, no. 1, pp. 34–40, 1965.
[73] Y. Demir and S. Kürşat Işleyen, “Evaluation of mathematical models for flexible job-shop scheduling problems,” Appl. Math. Model., vol. 37, no. 3, pp. 977–988, 2013.
[74] M. L. Pinedo, “Introduction,” in Scheduling - Theory, Algorithms, and Systems, 3rd ed., New York: Springer, 2008, pp. 1–10.
[75] J. Blazewicz, W. Domschke, and E. Pesch, “The job shop scheduling problem: Conventional and new solution techniques,” Eur. J. Oper. Res., vol. 93, no. 1, pp. 1–33, 1996.
[76] W.-Y. Ku and J. C. Beck, “Mixed Integer Programming models for job shop scheduling: A computational analysis,” Comput. Oper. Res., vol. 73, pp. 165–173, 2016.
[77] A. S. Manne, “On the Job-Shop Scheduling Problem,” Oper. Res., vol. 8, no. 2, pp. 219–223, 1960.
[78] M. L. Pinedo, “Job Shops (Deterministic),” in Scheduling - Theory, Algorithms, and Systems, 3rd ed., New York: Springer, 2008, pp. 179–216.
[79] J. Kuhpfahl, “Job Shop Scheduling - Formulation and Modeling,” in Job Shop Scheduling with Consideration of Due Dates - Potentials of Local Search Based Solution Techniques, 1st ed., Halle: Springer Gabler, 2016, pp. 9–18.
[80] E. G. Birgin, J. E. Ferreira, and D. P. Ronconi, “List scheduling and beam search methods for the flexible job shop scheduling problem with sequencing flexibility,” Eur. J. Oper. Res., vol.
247, no. 2, pp. 421–440, 2015.
[81] R. Mencía, M. R. Sierra, C. Menciá, and R. Varela, “A genetic algorithm for job-shop scheduling with operators enhanced by weak Lamarckian evolution and search space narrowing,” Nat.
Comput., vol. 13, no. 2, pp. 179–192, 2014.
164 [82] A. Jalilvand-Nejad and P. Fattahi, “A mathematical model and genetic algorithm to cyclic
flexible job shop scheduling problem,” J. Intell. Manuf., vol. 26, no. 6, pp. 1085–1098, 2015.
[83] M. Sakhaii, R. Tavakkoli-Moghaddam, M. Bagheri, and B. Vatani, “A robust optimization approach for an integrated dynamic cellular manufacturing system and production planning with unreliable machines,” Appl. Math. Model., vol. 40, no. 1, pp. 169–191, Jan. 2016.
[84] C. Liu, J. Wang, J. Y.-T. Leung, and K. Li, “Solving cell formation and task scheduling in cellular manufacturing system by discrete bacteria foraging algorithm,” Int. J. Prod. Res., vol.
54, no. 3, pp. 923–944, 2016.
[85] R. Raminfar, N. Zulkifli, M. Vasili, and T. Sai Hong, “An integrated model for production planning and cell formation in cellular manufacturing systems,” J. Appl. Math., vol. 2013, pp.
1–10, 2013.
[86] B. J. V. da Silva, R. Morabito, D. S. Yamashitaa, and H. H. Yanasse, “Production scheduling of assembly fixtures in the aeronautical industry,” Comput. Ind. Eng., vol. 67, pp. 195–203, 2014.
[87] D. Eyers and K. Dotchev, “Technology review for mass customisation using rapid manufacturing,” Assem. Autom., vol. 30, no. 1, pp. 39–46, 2010.
[88] ASTM International, F2792-12a - Standard Terminology for Additive Manufacturing Technologies. West Conshohocken, PA: ASTM, 2013.
[89] S. H. Huang, P. Liu, A. Mokasdar, and L. Hou, “Additive manufacturing and its societal impact:
A literature review,” Int. J. Adv. Manuf. Technol., vol. 67, no. 5–8, pp. 1191–1203, 2013.
[90] P. Reeves, “How the socioeconomic benefits of rapid manufacturing can offset technological limitations,” in RAPID Conference and Exposition, 2008, pp. 1–12.
[91] C. Tuck, R. Hague, and N. Burns, “Rapid manufacturing: Impact on supply chain methodologies and practice,” Int. J. Supply Oper. Manag., vol. 3, no. 1, pp. 1–22, 2007.
[92] E. Oberg, F. D. Jones, H. L. Horton, and H. H. Ryffel, “Machining Operations - Speed and Feed Tables,” in Machinery’s Handbook, 29th ed., C. J. McCauley, Ed. New York: Industrial Press, 2012, pp. 1021–1080.
[93] M. P. Groover, “Cutting-Tool Technology,” in Fundamentals of Modern Manufacturing, 4th ed., John Wiley & Sons, 2010.
[94] H. A. El Maraghy, “Flexible and reconfigurable manufacturing systems paradigms,” Flex. Serv.
Manuf. J., vol. 17, no. 4, pp. 261–276, 2006.
[95] P. Croser and F. Ebel, Pneumatics, 10/2002. Denkendorf: Festo Didactic GmbH & Co., 2002.
[96] W. Bolton, “Ladder and functional block programming,” in Programmable Logic Controllers, 4th ed., Burlington: Elsevier Newnes, 2006, pp. 80–107.
[97] A. J. Walker and G. Bright, “Stabilisation and control of configurable product manufacturing through Biased Decision Feedback decoupling,” J. Manuf. Syst., vol. 32, no. 1, pp. 271–280, 2013.
[98] M. P. Groover, “Product Design and CAD/CAM in the Production System,” in Automation, Production Systems, and Computer-Integrated Manufacturing, Second Edi., West Conshohocken, PA: Prentice-Hall, 2001, pp. 753–774.
165 [99] M. P. Groover, “Process Planning and Concurrent Engineering,” in Automation, Production Systems, and Computer-Integrated Manufacturing, Second Edi., West Conshohocken, PA:
Prentice-Hall, 2001, pp. 775–796.
[100] E. Naidoo, J. Padayachee, and G. Bright, “Optimal Scheduling of an on-Demand Fixture Manufacturing Cell for Mass Customisation Production Systems - Model Formulation, Presentation and Validation,” in Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics, 2017, vol. 1, pp. 17–24.
[101] S.-S. Choi, S.-H. Cha, and C. C. Tappert, “A Survey of Binary Similarity and Distance Measures,” J. Syst. Cybern. Informatics, vol. 8, no. 1, pp. 43–48, 2010.
[102] L. Rokach, “A survey of Clustering Algorithms,” in Data Mining and Knowledge Discovery Handbook, 2nd ed., L. Rokach and O. Maimon, Eds. New York: Springer, 2010, pp. 269–298.
[103] I. Dokmanic, R. Parhizkar, J. Ranieri, and M. Vetterli, “Euclidean distance matrices,” IEEE Signal Processing Magazine, vol. 2015, no. November, pp. 12–30, 2015.
[104] J. B. Kruskal, “Nonmetric Multidimensional Scaling: A Numerical Method,” Psychometrika, vol. 29, no. 2, pp. 115–129, 1964.
[105] K. Sturrock and J. Rocha, “A Multidimensional Scaling Stress Evaluation Table,” Field methods, vol. 12, no. 1, pp. 49–60, 2000.
[106] S. P. Lloyd, “Least Squares Quantization in PCM,” IEEE Trans. Inf. Theory, vol. 28, no. 2, pp.
129–137, 1982.
[107] D. Arthur and S. Vassilvitskii, “K-Means++: the Advantages of Careful Seeding,” in Proceedings of the 18th annual ACM-SIAM symposium on Discrete algorithms, 2007, pp. 1027–
1025.
[108] Z. Bar-Joseph, D. K. Gifford, and T. S. Jaakkola, “Fast optimal leaf ordering for hierarchical clustering,” Bioinformatics, vol. 17, no. 1, pp. S22–S29, 2001.
[109] L. Liberti, “Compact linearization for binary quadratic problems,” 4OR, vol. 5, no. 3, pp. 231–
245, 2007.
[110] B. A. McCarl and T. H. Spreen, “Linear Programming Modelling: Nonlinearities and Approximation,” in Applied Mathematical Programming Using Algebraic Systems, 2011, pp. 9- 1-9–21.
[111] J. Knowles, “Branch and Bound,” University of Manchester, 2015. [Online]. Available:
http://studentnet.cs.manchester.ac.uk/pgt/2014/COMP60342/COMP60342-2015- lec4.BranchandBound.pdf. [Accessed: 16-Mar-2017].
[112] E. Danna, E. Rothberg, and C. Le Pape, “Exploring relaxation induced neighborhoods to improve MIP solutions,” Math. Program., vol. 102, no. 1, pp. 71–90, 2005.
[113] T. Ibaraki, “On the computational efficiency of branch-and-bound algorithms,” J. Oper. Res.
Soc. Japan, vol. 20, no. 1, pp. 16–35, 1977.
[114] P. J. Rousseeuw, “Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,” J. Comput. Appl. Math., vol. 20, pp. 53–65, 1987.
166 [115] M. Matsumoto and T. Nishimura, “Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator,” ACM Trans. Model. Comput. Simul., vol. 8, no. 1, pp. 3–30, 1998.
[116] J.-F. Cordeau, G. Laporte, M. W. P. Savelsbergh, and D. Vigo, “Vehicle Routing,” in Handbook in OR & MS, vol. 14, no. 6, C. Barnhart and G. Laporte, Eds. Elsevier B.V., 2007, pp. 367–428.
[117] Mean Well, “350W Single Output Switching Power Supply: NES-350 series,” 2015. [Online].
Available: http://www.meanwell.com/productPdf.aspx?i=457. [Accessed: 02-Dec-2017].
[118] Huaguan Relays, “NT72(4459) & NT72-2,” 2015. [Online]. Available: http://www.huaguan- relays.com/WebUpload/UpLoadFile/201582054330221.pdf. [Accessed: 02-Dec-2017].
[119] Festo, “Standard cylinder DSBC-32-500-PPSA-N3,” 2017. [Online]. Available:
https://www.festo.com/cat/en-za_za/products_DSBC?CurrentIDCode1=DSBC-32-500-PPSA- N3&CurrentPartNo=1376478. [Accessed: 02-Dec-2017].
[120] Festo, “One-way flow control valve GRLA-1/8-QS-6-D,” 2017. [Online]. Available:
https://www.festo.com/cat/en-za_za/products_GRLA_QS?CurrentIDCode1=GRLA-1%2F8- QS-6-D&CurrentPartNo=193144. [Accessed: 02-Dec-2017].
[121] Festo, “Solenoid valve VUVS-L20-M52-AD-G18-F7-1C1,” 2017. [Online]. Available:
https://www.festo.com/cat/en-za_za/products_VUVS?CurrentIDCode1=VUVS-L20-M52-AD- G18-F7-1C1&CurrentPartNo=575263. [Accessed: 02-Dec-2017].
[122] Festo, “Silencer AMTE-M-H-G18,” 2017. [Online]. Available: https://www.festo.com/cat/en- za_za/products_AMTE?CurrentIDCode1=AMTE-M-H-G18&CurrentPartNo=1206622.
[Accessed: 02-Dec-2017].
[123] Festo, “Diffuse light sensor SOEG-RT-M18-PA-K-2L,” 2017. [Online]. Available:
https://www.festo.com/cat/en-za_za/products_SOEG_R?CurrentIDCode1=SOEG-RT-M18- PA-K-2L&CurrentPartNo=547912. [Accessed: 02-Dec-2017].
167