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All issues Volume 57 / No 1 (January-February 2023) RAIRO-Oper. Res., 57 1 (2023) 237-261 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 57, Number 1, January-February 2023
Page(s) 237 - 261
DOI https://doi.org/10.1051/ro/2023005
Published online 22 February 2023
  • N. Absi, S. Dauzère-Pérès, S. Kedad-Sidhoum, B. Penz and C. Rapine, Lot sizing with carbon emission constraints. Eur. J. Oper. Res. 227 (2013) 55–61. [Google Scholar]
  • M. Alinezhad, I. Mahdavi, M. Hematian and E.B. Tirkolaee, A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries. Environ. Dev. Sustain. 24 (2022) 1–28. [Google Scholar]
  • H. Barman, M. Pervin and S.K. Roy, Impacts of green and preservation technology investments on a sustainable EPQ model during COVID-19 pandemic. RAIRO: Oper. Res. 56 (2022) 2245–2275. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • M. Bonney and M.Y. Jaber, Environmentally responsible inventory models: non-classical models for a non-classical era. Int. J. Prod. Econ. 133 (2011) 43–53. [CrossRef] [Google Scholar]
  • Y. Bouchery, A. Ghaffari, Z. Jemai and Y. Dallery, Including sustainability criteria into inventory models. Eur. J. Oper. Res. 222 (2012) 229–240. [Google Scholar]
  • R.P. Covert and G.C. Philip, An EOQ model for items with Weibull distribution deterioration. AIIE Trans. 5 (1973) 323–326. [Google Scholar]
  • S.S. Darvazeh, F.M. Mooseloo, H.R. Vandchali, H. Tomášková and E.B. Tirkolaee, Correction to: An integrated multi-criteria decision-making approach to optimize the number of leagile-sustainable suppliers in supply chains. Environ. Sci. Pollut. Res. 29 (2022) 66979–67001. [CrossRef] [PubMed] [Google Scholar]
  • S.K. Das, M. Pervin, S.K. Roy and G.W. Weber, Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach. Ann. Oper. Res. (2021). DOI: 10.1007/s10479-020-03809-z. [Google Scholar]
  • U. Dave and L.K. Patel, (T, Sj) policy inventory model for deteriorating items with time proportional demand. J. Oper. Res. Soc. 32 (1981) 137–142. [Google Scholar]
  • J.K. Dey, S.K. Mondal and M. Maiti, Two storage inventory problem with dynamic demand and interval valued lead-time over finifte time horizon under time-value money. Eur. J. Oper. Res. 185 (2008) 170–194. [CrossRef] [Google Scholar]
  • K.V. Geetha and R. Uthayakumar, Optimal lot-sizing policy for non-instantaneous deteriorating items with price and advertisement dependent demand under partial backlogging. Int. J. Appl. Comput. Math. 2 (2016) 171–193. [CrossRef] [MathSciNet] [Google Scholar]
  • P.M. Ghare and G.F. Schrader, A model for an exponential decaying inventory. J. Ind. Eng. 14 (1963) 238–243. [Google Scholar]
  • M. Ghoreishi, A. Mirzazadeh and G.W. Weber, Optimal pricing and ordering policy for non-instantaneous deteriorating items under inflation and customer returns. J. Math. Program. Oper. Res. 63 (2013) 1785–1804. [Google Scholar]
  • B.C. Giri, A. Goswami and K.S. Chaudhuri, An EOQ model for deteriorating items with time-varying demand and costs. J. Oper. Res. Soc. 47 (1996) 1398–1405. [CrossRef] [Google Scholar]
  • M. Goh, EOQ models with general demand and holding costs functions. Eur. J. Oper. Res. 73 (1994) 50–54. [CrossRef] [Google Scholar]
  • R. Hammami, I. Nouira and Y. Frein, Carbon emissions in a multi-echelon production-inventory model with lead time constraints. Int. J. Prod. Econ. 164 (2015) 292–307. [Google Scholar]
  • R.M. Hill, Inventory model for increasing demand followed by level demand. J. Oper. Res. Soc. 46 (1995) 1250–1259. [CrossRef] [Google Scholar]
  • S. Khalilpourazari and H.H. Doulabi, Robust modelling and prediction of the COVID-19 pandemic in Canada. Int. J. Prod. Res. (2021) 1–17. DOI: 10.1080/00207543.2021.1936261. [Google Scholar]
  • S. Khalilpourazari and S.H.R. Pasandideh, Multi-objective optimization of multi-item EOQ model with partial backordering and defective batches and stochastic constraints using MOWCA and MOGWO. Oper. Res. 20 (2020) 1729–1761. [Google Scholar]
  • S. Khalilpourazari and S.H.R. Pasandideh, Designing emergency flood evacuation plans using robust optimization and artificial intelligence. J Comb. Optim. 41 (2021) 640–677. [CrossRef] [MathSciNet] [Google Scholar]
  • S. Khalilpourazari, S.H.R. Pasandideh and S.T.A. Niaki, Optimizing a multi-item economic order quantity problem with imperfect items, inspection errors, and backorders. Soft Comput. 23 (2019) 11671–11698. [CrossRef] [Google Scholar]
  • S. Khalilpourazari, S. Teimoori, A. Mirzazadeh, S.H.R. Pasandideh and N.G. Tehrani, Robust Fuzzy chance constraint programming for multi-item EOQ model with random disruption and partial backordering under uncertainty. J. Ind. Prod. Eng. 36 (2019) 276–285. [Google Scholar]
  • S. Khalilpourazari, A.Ö. Çiftçioglu and G.W. Weber, Designing energy-efficient high-precision multi-pass turning processes via robust optimization and artificial intelligence. J. Intell. Manuf. 32 (2021) 1621–1647. [CrossRef] [Google Scholar]
  • S. Khanra, S.K. Ghosh and K.S. Chaudhuri, An EOQ model for a deteriorating item with time dependent quadratic demand under permissible delay in peyment. Appl. Math. Comput. 218 (2011) 1–9. [MathSciNet] [Google Scholar]
  • V. Kumar and S.R. Singh, A finite horizon inventory model with life time, power demand pattarn and lost sales. Int. J. Math. Sci. 10 (2011) 435–446. [Google Scholar]
  • R. Maihami and I.N.K. Abadi, Joint control of inventory and its pricing for non-instantaneously deteriorating items under permissible delay in payments and partial backlogging. Math. Comput. Modell. 55 (2012) 1722–1733. [CrossRef] [Google Scholar]
  • S.K. Manna and K.S. Chaudhuri, An EOQ model with ramp type demand rate, time dependent deterioratoin rate, unit production cost and shortages. Eur. J. Oper. Res. 171 (2006) 557–566. [CrossRef] [Google Scholar]
  • A.H.M. Mashud, M. Pervin, U. Mishra, Y. Daryanto, M.L. Tseng and M.K. Lim, A sustainable inventory model with controllable carbon emissions in green-warehouse farms. J. Cleaner Prod. 298 (2021) 126777. [CrossRef] [Google Scholar]
  • V.K. Mishra, Deterirating inventory model with controllable deterioration rate for time-dependent demand and time-varing holding cost. Yugoslav J. Oper. Res. 24 (2014) 87–98. [CrossRef] [MathSciNet] [Google Scholar]
  • M. Mohammadi and S. Khalilpourazari, Minimizing makespan in a single machine scheduling problem with deteriorating jobs and learning effects, in Proceedings of the 6th International Conference on Software and Computer Applications (2017) 310–315. DOI: 10.1145/3056662.3056715. [Google Scholar]
  • L.Y. Ouyang, K.S. Wu and M.C. Cheng, An inventory model for deteriorating items with exponential declining demand and partial backlogging. Yugoslav J. Oper. Res. 15 (2005) 227–288. [Google Scholar]
  • L.Y. Ouyang, K.S. Wu and C.T. Yang, A study on an inventory model for non-instantaneous deteriorating items with permissible delay in payments. Comput. Ind. Eng. 51 (2006) 637–651. [Google Scholar]
  • A. Paul, M. Pervin, S.K. Roy, G.W. Weber and A. Mirzazadeh, Effect of price-sensitive demand and default risk on optimal credit period and cycle time for a deteriorating inventory model. RAIRO: Oper. Res. 55 (2021) S2575–S2592. [CrossRef] [EDP Sciences] [Google Scholar]
  • A. Paul, M. Pervin, S.K. Roy, N. Maculan and G.W. Weber, A green inventory model with the effect of carbon taxation. Ann. Oper. Res. 309 (2022) 233–248. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Paul, M. Pervin, S.K. Roy, G.W. Weber and A. Mirzazadeh, Effect of multiple prepayments and green investment on an EPQ model. J. Ind. Manage. Optim. (2022). DOI: 10.3934/jimo.2022234. [Google Scholar]
  • M. Pervin, G.C. Mahata and S.K. Roy, An inventory model with demand declining market for deteriorating items under trade credit policy. Int. J. Manage. Sci. Eng. Manage. 11 (2016) 243–251. [Google Scholar]
  • M. Pervin, S.K. Roy and G.W. Weber, A two-echelon inventory model with stock-dependent demand and variable holding cost for deteriorating items. Numer. Algebra Control Optim. 7 (2017) 21–50. [CrossRef] [MathSciNet] [Google Scholar]
  • M. Pervin, S.K. Roy and G.W. Weber, Analysis of inventory control model with shortage under time-dependent demand and time-varing holding cost including stochastic deterioration. Ann. Oper. Res. 260 (2018) 437–460. [CrossRef] [MathSciNet] [Google Scholar]
  • M. Pervin, S.K. Roy and G.W. Weber, An integrated inventory model with variable holding cost under two levels of trade-credit policy. Numer. Algebra Control Optim. 8 (2018) 169–191. [Google Scholar]
  • M. Pervin, S.K. Roy and G.W. Weber, Multi-item deteriorating two-echelon inventory model with price- and stock-dependent demand: a trade-credit policy. J. Ind. Manage. Optim. 15 (2019) 1345. [Google Scholar]
  • R.J. Porwal, C.S. Prasad, D. Pandey and Shiva, An inventory model for time dependent deterioration, selling price dependent demand and quadratic varying hoding cost. Int. J. Appl. Math. Appl. 3 (2011) 121–128. [Google Scholar]
  • V.S. Rajput, Y. Kumar, A.K. Vats and R. Kaur, An EOQ model with polynomial of N-th degree demand rate, constant deterioration, linear holding cost and without Shortages under inflation. IOSR J. Math. 12 (2016) 87–92. [CrossRef] [Google Scholar]
  • S.K. Roy, M. Pervin and G.W. Weber, A two-warehouse probabilistic model with price discount on backorders under two levels of trade-credit policy. J. Ind. Manage. Optim. 16 (2020) 153. [Google Scholar]
  • M. Sarkar and B. Sarkar, How does an industry reduce waste and consumed energy within a multi-stage smart sustainable biofuel production system? J. Cleaner Prod. 262 (2020) 121200. [CrossRef] [Google Scholar]
  • B. Sarkar, M. Sarkar, B. Ganguly and L.E. Cárdenas-Barrón, Combined effects of carbon emission and production quality improvement for fixed lifetime products in a sustainable supply chain management. Int. J. Prod. Econ. 231 (2021) 107867. [CrossRef] [Google Scholar]
  • B.R. Sarker, S. Mukherjee and C.V. Balan, An order-level lot size inventory model with inventory-level dependent demand and deterioration. Int. J. Prod. Econ. 48 (1997) 227–236. [CrossRef] [Google Scholar]
  • E. Savku and G.W. Weber, A stochastic maximum principle for a Markov regime-switching jump-diffusion model with delay and an application to finance. J. Opt. Theory App. 179 (2018) 696–721. [CrossRef] [Google Scholar]
  • T. Shu, Q. Wu, S. Chen, S. Wang, K.K. Lai and H. Yang, Manufactuerers’/remanufacturers’ inventory control strategies with cap-and-trade regulation. J. Cleaner Prod. 159 (2017) 11–25. [CrossRef] [Google Scholar]
  • K. Skouri, S. Konstantanras and I. Ganas, Inventory model with ramp type demand rate, partial backlogging and Weibull deterioration rate. Eur. J. Oper. Res. 192 (2009) 79–92. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, V.R. Soleymanfar and K. Govindan, Sustainable economic production quantity models for inventory systems with shortage. J. Cleaner Prod. 174 (2018) 1011–1020. [CrossRef] [Google Scholar]
  • S. Tayal, S.R. Singh, R. Sharma and A.P. Singh, An EPQ model for non-instantaneous deteriorating item with time dependend holding cost and exponential demand rate. Int. J. Oper. Res. 23 (2015) 145–162. [CrossRef] [MathSciNet] [Google Scholar]
  • B.Z. Temocin and G.W. Weber, Optimal control of stochastic hybrid system with jumps: a numerical approximation. J. Comput. Appl. Math. 259 (2014) 443–451. [CrossRef] [MathSciNet] [Google Scholar]
  • S. Tiwari, W. Ahmed and B. Sarkar, Multi-item sustainable green production system under trade-credit and partial backordering. J. Cleaner Prod. 204 (2018) 82–95. [Google Scholar]
  • C.K. Tripathy and U. Mishra, Ordering policy for Weilbull deteriorating items for quadratic demand with permissible delay in payment. Appl. Math. Sci. 4 (2010) 2181–2191. [MathSciNet] [Google Scholar]
  • S.I. Ukil, M.E. Islam and M.S. Uddin, A production inventory model of power demand and constant production rate where the products have finite shelf life. J. Serv. Sci. Manage. 8 (2015) 874–885. [Google Scholar]
  • G.W. Weber and E. Savku, A prodForeword of the Book Renewable Energy and Electric Resources for Sustainable Rural Development. IGI Global, Hershey PA, USA (2017). https://link.springer.com/article/10.1007/s10957-017-1144-x. [Google Scholar]
  • T.M. Whitin, Theory of Inventory Managment. Princeton University Press, Princeton, NJ (1957) 62–63. [Google Scholar]
  • K.S. Wu, L.Y. Ouyang and C.T. Yang, An optimal replenishment policy for non-instsntaneous deteriorating items with stock-dependent demand and partial backlogging. Int. J. Prod. Econ. 101 (2006) 369–384. [CrossRef] [Google Scholar]

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