USITC, 2012, 332
Lechner, 2014, Impact of product acquisition on manufacturing and remanufacturing strategies, Prod. Manuf. Res., 2, 831
Urry, 2014
Nelson, 2015, Cost savings for manufacturing lithium batteries in a flexible plant, J. Power Sources, 283, 506, 10.1016/j.jpowsour.2015.02.142
Bhamu, 2014, Lean manufacturing: literature review and research issues, Int. J. Oper. Prod. Manag., 34, 876, 10.1108/IJOPM-08-2012-0315
Shi, 2015, Remanufacturing decisions and implications under material cost uncertainty, Int. J. Prod. Res., 53, 6421, 10.1080/00207543.2014.932933
Thierry, 1995, Strategic issues in product recovery management, Calif. Manage. Rev., 37, 114, 10.2307/41165792
Ijomah, 2007, Development of robust design-for-remanufacturing guidelines to further the aims of sustainable development, Int. J. Prod. Res., 45, 4513, 10.1080/00207540701450138
King, 2006, Reducing waste: repair, recondition, remanufacture or recycle?, Sustain. Dev., 14, 257, 10.1002/sd.271
D’Adamo, 2016, Remanufacturing in industry: advices from the field, Int. J. Adv. Manuf. Technol., 86, 2575, 10.1007/s00170-016-8346-5
Sutherland, 2008, A comparison of manufacturing and remanufacturing energy intensities with application to diesel engine production, CIRP Ann., 57, 5, 10.1016/j.cirp.2008.03.004
Wilson, 2014, Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis, J. Clean. Prod., 80, 170, 10.1016/j.jclepro.2014.05.084
Wolfe, 1998, Functionally gradient ceramic/metallic coatings for gas turbine components by high-energy beams for high-temperature applications, J. Mater. Sci., 33, 3677, 10.1023/A:1004675900887
Bi, 2011, Restoration of nickel-base turbine blade knife-edges with controlled laser aided additive manufacturing, Physics Procedia, 12, 402, 10.1016/j.phpro.2011.03.051
Atasu, 2010, So what if remanufacturing cannibalizes my new product sales?, Calif. Manage. Rev., 52, 56, 10.1525/cmr.2010.52.2.56
Östlin, 2009, Product lifecycle implications for remanufacturing strategies, J. Clean. Prod., 17, 999, 10.1016/j.jclepro.2009.02.021
IndexMundi, 2022
C. Bao, M. Mortazavi-Naeini, S. Northey, T. Tarnopolskaya, A. Monch, Z. Zhu, Valuing flexible operating strategies in nickel production under uncertainty, in: 20th International Congress on Modelling and Simulations, MODSIM2013, 2013, pp. 1426–1432.
Mikaelian, 2011, Real options in enterprise architecture: a holistic mapping of mechanisms and types for uncertainty management, IEEE Trans. Eng. Manage., 58, 457, 10.1109/TEM.2010.2093146
Aktas, 2019, A hybrid hesitant fuzzy decision-making approach for evaluating solar power plant location sites, Arab. J. Sci. Eng., 44, 7235, 10.1007/s13369-018-3604-5
Arı, 2020, The use and comparison of a deterministic, a stochastic, and a hybrid multiple-criteria decision-making method for site selection of wind power plants: An application in Turkey, Wind Eng., 44, 60, 10.1177/0309524X19849831
Lahdelma, 2001, SMAA-2: Stochastic multicriteria acceptability analysis for group decision making, Oper. Res., 49, 444, 10.1287/opre.49.3.444.11220
Crespo-Vazquez, 2020, A community-based energy market design using decentralized decision-making under uncertainty, IEEE Trans. Smart Grid, 12, 1782, 10.1109/TSG.2020.3036915
Khalili-Damghani, 2016, Uncertain centralized/decentralized production-distribution planning problem in multi-product supply chains: fuzzy mathematical optimization approaches, Ind. Eng. Manag. Syst., 15, 156
Ghasemi, 2020, Stochastic optimization model for distribution and evacuation planning (a case study of Tehran earthquake), Soc. Econ. Plan. Sci., 71, 10.1016/j.seps.2019.100745
M.A. Sadat, M.D. Xames, A. Azeem, A Multi-objective Mathematical Optimization Approach to a Three-echelon Green Supply Chain Management Subject to Disruption at Plant, Proceedings of IMEOM 2017 Dhaka, Vol. 44, 2017.
Govindan, 2017, Supply chain network design under uncertainty: A comprehensive review and future research directions, European J. Oper. Res., 263, 108, 10.1016/j.ejor.2017.04.009
Rizova, 2020, A systematic review of decision-making in remanufacturing, Comput. Ind. Eng., 147, 10.1016/j.cie.2020.106681
Mukhopadhyay, 2009, Joint procurement and production decisions in remanufacturing under quality and demand uncertainty, Int. J. Prod. Econ., 120, 5, 10.1016/j.ijpe.2008.07.032
İ, 2021, The value of quality grading in remanufacturing under quality level uncertainty, Int. J. Prod. Res., 59, 839, 10.1080/00207543.2020.1711983
Kenné, 2012, Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain, Int. J. Prod. Econ., 135, 81, 10.1016/j.ijpe.2010.10.026
Diaz, 2017, Evaluating strategic remanufacturing supply chain decisions, Int. J. Prod. Res., 55, 2522, 10.1080/00207543.2016.1239848
van Loon, 2018, Assessing the economic and environmental impact of remanufacturing: A decision support tool for OEM suppliers, Int. J. Prod. Res., 56, 1662, 10.1080/00207543.2017.1367107
Shi, 2016, Remanufacturing decision and sustainability under product life cycle uncertainty, Eng. Econ., 61, 223, 10.1080/0013791X.2014.986352
Spalt, 2016, A framework for integration of additive manufacturing technologies in production networks, Procedia CIRP, 57, 716, 10.1016/j.procir.2016.11.124
Shi, 2013, Product remanufacturing: a real options approach, IEEE Trans. Eng. Manage., 61, 237, 10.1109/TEM.2013.2278533
Liu, 2014, An optimal timing of engine remanufacturing–a real option approach, Procedia CIRP, 15, 223, 10.1016/j.procir.2014.06.035
Li, 2010, Outsourcing and capacity planning in an uncertain global environment, European J. Oper. Res., 207, 131, 10.1016/j.ejor.2010.03.033
Min, 2022, Real option-based decision model for fuel saving devices in transportation vehicles under flexible design, Eng. Econ., 67, 2, 10.1080/0013791X.2021.2017094
Kucuksayacigil, 2021, The value of jumboization in transportation ships: A real options approach, IISE Trans., 1
Min, 2020, Supply contracts for critical and strategic materials of high volatility and their ramifications for supply chains, Eng. Econ., 65, 266, 10.1080/0013791X.2020.1712508
Abadie, 2014, Valuation of wind energy projects: A real options approach, Energies, 7, 3218, 10.3390/en7053218
Ghodke, 2021
Adkins, 2011, Reciprocal energy-switching options, J. Energy Mark., 4, 91, 10.21314/JEM.2011.055
2020
2022
2022
Precision Profiles, 2022
made-in-china.com., 2022
ulaspowertech.en.made-in-china., 2022
Ilbeigi, 2014, A stochastic process to model the fluctuations of asphalt cement price, 1111
Awudu, 2013, Stochastic production planning for a biofuel supply chain under demand and price uncertainties, Appl. Energy, 103, 189, 10.1016/j.apenergy.2012.09.025
Mandolini, 2022, An analytical cost model for laser-directed energy deposition (L-DED), 993
Goodall, 2014, A review of the state of the art in tools and techniques used to evaluate remanufacturing feasibility, J. Clean. Prod., 81, 1, 10.1016/j.jclepro.2014.06.014
Naito, 2010, Evaluating replacement project of nuclear power plants under uncertainty, Energy Policy, 38, 1321, 10.1016/j.enpol.2009.11.010
Zhao, 2020, Blockchain traceability valuation for perishable agricultural products under demand uncertainty, Int. J. Oper. Res. Inf. Syst. (IJORIS), 11, 1, 10.4018/IJORIS.2020100101
Dixit, 1994
Lima, 2006, Estimating the volatility of mining projects considering price and operating cost uncertainties, Resour. Policy, 31, 86, 10.1016/j.resourpol.2006.07.002
Min, 2012, An exit and entry study of renewable power producers: A real options approach, Eng. Econ., 57, 55, 10.1080/0013791X.2011.651566
Croghan, 2017, Estimation of geometric Brownian motion parameters for oil price analysis, 1858
Damodaran, 2022
Fernandez, 2010, WACC: definition, misconceptions, and errors, Bus. Valuat. Rev., 29, 138, 10.5791/0897-1781-29.4.138
HAAS CNC, 2022
Murto, 2007, Timing of investment under technological and revenue-related uncertainties, J. Econom. Dynam. Control, 31, 1473, 10.1016/j.jedc.2006.05.010
Bremer, 2005, Automated repair and overhaul of aero-engine and industrial gas turbine components, 841
Hermus, 2022
Weld Guru, 2022
US EIA, 2022