Lei Wang, Chaomin Luo, Jingcao Cai, and Ming Li
 B. Martin, O. Jun, O. Burak, E.D. Richard, S.G. Kapoor,K. Andreas, and S. Georges, Evaluation of a spindle-based forcesensor for monitoring and fault diagnosis of machining opera-tions, International Journal of Machine Tools & Manufacture,42(6), 2002, 741–751.
 Y.X. Wang, J.W. Xiang, R. Markert, and M. Liang, Spectralkurtosis for fault detection, diagnosis and prognostics of rotat-ing machines: A review with applications, Mechanical Systemsand Signal Processing, 66–67(1), 2016, 679–698.
 B. Nawel, D. Saber, H.G. Sonia, and P. Henri, Fault detec-tion, diagnosis and recovery using artiﬁcial immune systems:A review, Engineering Applications of Artiﬁcial Intelligence,46(11), 2015, 43–57.
 H.Y. Yu, F. Khan, and V. Garaniya, A probabilistic multivari-ate method for fault diagnosis of industrial processes, ChemicalEngineering Research and Design, 104(12), 2015, 306–318.
 J. Lee, M. Ghaﬀari, and S. Elmeligy, Self-maintenance andengineering immune systems: Towards smarter machines andmanufacturing systems, Annual Reviews in Control, 35(1),2011, 111–122.
 O. Janssens, R. Schulz, V. Slavkovikj, K. Stockman,M. Loccuﬁer, R.V. Walle, and S.V. Hoecke, Thermal imagebased fault diagnosis for rotating machinery, Infrared Physics& Technology, 73(6), 2015, 78–87.
 P.J. Cheng and H.P. Huang, Robust fault detection and isola-tion using bond graph for an active–passive variable serial elas-tic actuator, International Journal of Robotics and Automation(IJRA), 6(2), 2015, 29–47.
 C.K. Lau, Y.S. Heng, M.A. Hussain, and M.I. Mohamad Nor,Fault diagnosis of the polypropylene production process usingANFIS, ISA Transactions, 49(4), 2010, 559–566.
 A. Cheng and K. Lipheng, A model-based approach to faultdiagnosis of FMS, Proc. IEEE Symposium on Emerging Tech-nologies and Factory Automation (ETFA), Kauai, HI, 1996,254–260.
 L. Mohamed and A.S. Ibrahim, Model-based fault diagnosis viaparameter estimation using knowledge based and fuzzy logicapproach, Proc. 11th IEEE Mediterranean ElectrotechnicalConf., Cairo, Egypt, 2002, 505–509.
 H. John, Model-based fault detection in information poorplants, Automatica, 30(6), 1994, 929–943.
 A. Prakash, N. Khilwani, M.K. Tiwari, and Y. Cohen, Modi-ﬁed immune algorithm for job selection and operation alloca-tion problem in ﬂexible manufacturing systems, Advances inEngineering Software, 39(3), 2008, 219–232.
 X.H. Li, Z.X. Wang, T.Y. Lu, and X.J. Che, Modeling immunesystem: Principles, models, analysis and perspectives, Journalof Bionic Engineering, 6(1), 2009, 77–85.
 R. Challoo, P. Rao, S. Ozcelik, L. Challoo, and S. Li, Nav-igation control and path mapping of a mobile robot usingartiﬁcial immune systems, International Journal of Roboticsand Automation(IJRA), 1(1), 2010, 1–25.
 S.F. Li, X.L. Wang, J.Z. Xiao, and Z.J. Yin, Self-adaptiveobtaining water-supply reservoir operation rules: Co-evolutionartiﬁcial immune system, Expert Systems with Applications,41(4), 2014, 1262–1270.
 B. Chen, Agent-based artiﬁcial immune system approach foradaptive damage detection in monitoring networks, Journal ofNetwork and Computer Applications, 33(6), 2010, 633–645.
 J. Barbosa, P. Leitao, E. Adam, and D. Trentesaux, Dynamicself-organization in holonic multi-agent manufacturing systems:The ADACOR evolution, Computers in Industry, 66(1), 2015,99–111.
 P. Leitao, J. Barbosa, and D. Trentesaux, Bio-inspired multi-agent systems for reconﬁgurable manufacturing systems, En-gineering Applications of Artiﬁcial Intelligence, 25(5), 2012,934–944.
 J. Barbosa, P. Leitao, and A.I. Pereira, Combining adaptationand optimization in bioinspired multi-agent manufacturing sys-tems, Proc. 2011 IEEE International Symposium on IndustrialElectronics, Gdansk, Poland, 2011, 1773–1778.
 Y. Cheung and J.H. Chung, Semi-autonomous control of amulti-agent robotic system for multi-target operations, Inter-national Journal of Robotics and Automation (IJRA), 2(2),2011, 107–127.
 E. Rizvan, C. Sahin, A. Baykasoglu, and V. Kaplanoglu,A multi-agent based approach to dynamic scheduling of ma-chines and automated guided vehicles in manufacturing sys-tems, Applied Soft Computing, 12(6), 2012, 1720–1732.
 W.W. Koczkodaj, A new deﬁnition of consistency of pairwisecomparisons, Mathematical and Computer Modelling, 18(7),1993, 79–84.
 T.L. Satty, A scaling method for priorities in hierarchicalstructures, Journal of Mathematical Psychology, 15(7), 1977,234–281.
 T.L Saaty, The analytic hierarchy process (New York: McGraw-Hill Press, 1980).
 T.L Saaty and L.G. Vargas, Decision making in economic, po-litical, social, and technological environments with the analytichierarchy process (Pittsburgh, PA: RWS Press, 1994).
 L. Wang, D.B. Tang, W.B. Gu, K. Zheng, W.D. Yuan, andD.S. Tang, Pheromone-based coordination for manufacturingsystem control, Journal of Intelligent Manufacturing, 23(3),2012, 747–757.85