Maintenance and remanufacturing strategy: using sensors to predict the status of wind turbines
Tóm tắt
Từ khóa
Tài liệu tham khảo
Alshamrani A, Mathur K, Ballou RH (2007) Reverse logistics: simultaneous design of delivery routes and returns strategies. Comput Oper Res 34:595–619
Blanc HM, Fleuren HA, Krikke HR (2004) Redesign of a recycling system for LPG-tanks. OR Spectr 26:283–304
Blanc LL, Krieken MV, Krikke H, Fleuren H (2006) Vehicle routing concepts in the closed-loop container network of ARN – a case study. OR Spectr 28:52–70
Brander P, Forsberg R (2005) Cyclic lot scheduling with sequence-dependent set-ups: a heuristic for disassembly processes. Int J Prod Res 43(2):295–310
Chang CY, Hung SS (2012) Implementing RFIC and sensor technology to measure temperature and humidity inside concrete structures. Constr Build Mater 26(1):628–637
Cheng FT, Huang GW, Chen CH, Hung MH (2004) A generic embedded device for retrieving and transmitting information of various customized applications. In: Robotics and Automation, 2004. Proceedings. ICRA'04. 2004 IEEE International Conference on (vol 1, pp 978–983), IEEE
Dahane M, Sahnoun M, Bettayeb B, Baudry D, Boudhar H (2017) Impact of spare parts remanufacturing on the operation and maintenance performance of offshore wind turbines: a multi-agent approach. J Intell Manuf 28(7):1531–1549
De Faria H, Costa JGS, Olivas JLM (2015) A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis. Renew Sust Energ Rev 46:201–209
Dethloff J (2001) Vehicle routing and reverse logistics: the vehicle routing problem with simultaneous delivery and pick-up. OR-Spektrum 23(1):79–96
Dethloff J (2002) Relation between vehicle routing problems: an insertion heuristic for the vehicle routing problem with simultaneous delivery and pick-up applied to the vehicle routing problem with backhauls. J Oper Res Soc 53(1):115–118
Dulman MT, Gupta SM (2015a) Use of sensors for cell phones. Proceedings for the Production and Operations Management Society (POMS)
Dulman MT, Gupta SM (2015b) Disassembling and remanufacturing end-of-life sensor embedded cell phones. Innovation and Supply Chain Management 9(4):111–117
Dulman MT, Gupta SM (2016) Use of sensors for collection of end-of-life products. Proceedings for the Northeast Region Decision Sciences Institute (NEDSI)
Dulman MT, Gupta SM (2018) Evaluation of maintenance and EOL operation performance of sensor-embedded laptops. Logistics 2(1), Paper No. 3:1–22
Efthymiou K, Papakostas N, Mourtzis D, Chryssolouris G (2012) On a predictive maintenance platform for production systems. Procedia CIRP 3:221–226
Govindan K, Bouzon M (2018) From a literature review to a multi-perspective framework for reverse logistics barriers and drivers. J Clean Prod 187:318–337
Gribkovskaia I, Halskau Ø, Laporte G, Vlček M (2007) General solutions to the single vehicle routing problem with pickups and deliveries. Eur J Oper Res 180(2):568–584
Gungor A, Gupta SM (1999) Issues in environmentally conscious manufacturing and product recovery: a survey. Comput Ind Eng 36(4):811–853
Gupta SM (2013) Reverse supply chains: issues and analysis. CRC Press, Boca Raton ISBN: 978-1439899021
Gupta SM, Ilgin MA (2018) Multiple criteria decision making applications in environmentally conscious manufacturing and product recovery. CRC Press, Boca Raton ISBN: 978-1498700658
Hatcher GD, Ijomah WL, Windmill JFC (2011) Design for remanufacture: a literature review and future research needs. J Clean Prod 19(17–18):2004–2014
Ilgin MA, Gupta SM (2010a) Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art. J Environ Manag 91(3):563–591
Ilgin MA, Gupta SM (2010b) Comparison of economic benefits of sensor embedded products and conventional products in a multi-product disassembly line. Comput Ind Eng 59(4):748–763
Ilgin MA, Gupta SM (2011a) Evaluating the impact of sensor-embedded products on the performance of an air conditioner disassembly line. Int J Adv Manuf Technol 53(9–12):1199–1216
Ilgin MA, Gupta SM (2011b) Performance improvement potential of sensor embedded products in environmental supply chains. Resour Conserv Recycl 55(6):580–592
Ilgin MA, Gupta SM (2011c) Recovery of sensor embedded washing machines using a multi-kanban controlled disassembly line. Robot Comput Integr Manuf 27(2):318–334
Ilgin MA, Gupta SM (2012) Remanufacturing modeling and analysis. CRC Press, Boca Raton ISBN: 9781439863077
Ilgin MA, Gupta SM, Nakashima K (2011) Coping with disassembly yield uncertainty in remanufacturing using sensor embedded products. Journal of Remanufacturing 1(1):1–14
Ilgin MA, Ondemir O, Gupta SM (2014) An approach to quantify the financial benefit of embedding sensors into products for end-of-life management: a case study. Prod Plan Control 25(1):26–43
Ilgin MA, Gupta SM, Battaïa O (2015) Use of MCDM techniques in environmentally conscious manufacturing and product recovery: state of the art. J Manuf Syst 37:746–758
Kelton DW, Sadowski RP, Sadowski DA (2007) Simulation with arena, 4th edn. McGraw-Hill, New York
Kim HJ, Xirouchakis P (2010) Capacitated disassembly scheduling with random demand. Int J Prod Res 48(23):7177–7194
Kim HJ, Lee DH, Xirouchakis P, Züst R (2003) Disassembly scheduling with multiple product types. CIRP Annals-Manufacturing Technology 52(1):403–406
Kim HJ, Lee DH, Xirouchakis P (2006) Two-phase heuristic for disassembly scheduling with multiple product types and parts commonality. Int J Prod Res 44(1):195–212
Kim H, Yang J, Lee KD (2009a) Vehicle routing in reverse logistics for recycling end-of-life consumer electronic goods in South Korea. Transp Res Part D: Transp Environ 14(5):291–299
Kim HJ, Lee DH, Xirouchakis P, Kwon OK (2009b) A branch and bound algorithm for disassembly scheduling with assembly product structure&star. J Oper Res Soc 60(3):419–430
Krikke H, le Blanc I, van Krieken M, Fleuren H (2008) Low-frequency collection of materials disassembled from end-of-life vehicles: on the value of on-line monitoring in optimizing route planning. Int J Prod Econ 111(2):209–228
Lee DH, Kim HJ, Choi G, Xirouchakis P (2004) Disassembly scheduling: integer programming models. Proc Inst Mech Eng B J Eng Manuf 218(10):1357–1372
McFarlane D, Sarma S, Chirn JL, Wong C, Ashton K (2003) Auto ID systems and intelligent manufacturing control. Eng Appl Artif Intell 16(4):365–376
Mourão MC, Almeida MT (2000) Lower-bounding and heuristic methods for a refuse collection vehicle routing problem. Eur J Oper Res 121(2):420–434
Mourão MC, Amado L (2005) Heuristic method for a mixed capacitated arc routing problem: a refuse collection application. Eur J Oper Res 160(1):139–153
Ondemir O, Gupta SM (2012) Optimal management of reverse supply chains with sensor-embedded end-of-life products. In: Lawrence KD, Kleinman G (eds) Applications of management science, vol 15. Emerald Group Publishing Limited, Bingley, p 109–129
Ondemir O, Gupta SM (2013a) Advanced remanufacturing-to-order and disassembly-to-order system under demand/decision uncertainty. In: Gupta SM (ed) Reverse supply chains: Issues and analysis. CRC Press, Florida, p 203–228
Ondemir O, Gupta SM (2013b) Quality assurance in remanufacturing with sensor embedded products. In: Nikolaidis Y (ed) Quality Management in Reverse Logistics. Springer-Verlag, London, pp 95–112
Ondemir O, Gupta SM (2014a) A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system. Eur J Oper Res 233(2):408–419
Ondemir O, Gupta SM (2014b) Quality management in product recovery using the internet of things: an optimization approach. Comput Ind 65(3):491–504
Ondemir O, Ilgin MA, Gupta SM (2012) Optimal end-of-life management in closed-loop supply chains using RFID and sensors. Industrial Informatics, IEEE Transactions on 8(3):719–728
Ortegon K, Nies LF, Sutherland JW (2013) Preparing for end of service life of wind turbines. J Clean Prod 39:191–199
Ortegon-Mosquera K (2014) Value characterization across the life cycle: A model to support value recovery from used wind turbines. PhD Thesis, (Advisors: Dr. John W. Sutherland and Dr. Loring F. Nies), Ecological Sciences and Engineering, Purdue University, West Lafayette, Indiana
Phadke MS (1989) Quality engineering robust design. Prentice Hall, New Jersey
Prakash PKS, Ceglarek D, Tiwari MK (2012) Constraint-based simulated annealing (CBSA) approach to solve the disassembly scheduling problem. Int J Adv Manuf Technol 60(9–12):1125–1137
Priyono A, Ijomah W, Bititci U (2016) Disassembly for remanufacturing: a systematic literature review, new model development and future research needs. Journal of Industrial Engineering and Management 9(4):899–932
Rios PJ, Stuart JA (2004) Scheduling selective disassembly for plastics recovery in an electronics recycling center. Electronics Packaging Manufacturing, IEEE Transactions on 27(3):187–197
Rodriguez JP, Perez CR (2002) Advanced sensor for optimal orientation and predictive maintenance of high power wind generators. In: IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the], (vol 3, pp 2167–2172), IEEE
Schmidt A, Van Laerhoven K (2001) How to build smart appliances? Personal Communications, IEEE 8(4):66–71
Schultmann F, Zumkeller M, Rentz O (2006) Modeling reverse logistic tasks within closed-loop supply chains: an example from the automotive industry. Eur J Oper Res 171(3):1033–1050
Stuart JA, Christina V (2003) New metrics and scheduling rules for disassembly and bulk recycling. Electronics Packaging Manufacturing, IEEE Transactions on 26(2):133–140
Tian X, Zhang Z-H (2018) Capacitated disassembly scheduling and pricing of returned products with price-dependent yield. Omega. https://doi.org/10.1016/j.omega.2018.04.010
Vadde S, Kamarthi S, Gupta SM, Zeid I (2008) Product life cycle monitoring via embedded sensors. In: Gupta SM, Lambert AJD (eds) Environment conscious manufacturing. CRC Press, Boca Raton, p 91–103