Open Access
RAIRO-Oper. Res.
Volume 57, Number 4, July-August 2023
Page(s) 1797 - 1820
Published online 14 July 2023
  • A.K. Agrawal and S. Yadav, Price and profit structuring for single manufacturer multi-buyer integrated inventory supply chain under price-sensitive demand condition. Comput. Ind. Eng. 139 (2020) 106208. [CrossRef] [Google Scholar]
  • M. AlDurgam, K. Adegbola and C.H. Glock, A single-vendor single-manufacturer integrated inventory model with stochastic demand and variable production rate. Int. J. Prod. Econ. 191 (2017) 335–350. [CrossRef] [Google Scholar]
  • M. Alkahtani, M. Omair, Q.S. Khalid, G. Hussain and B. Sarkar, An agricultural products supply chain management to optimize resources and carbon emission considering variable production rate: case of nonperishable corps. Processes 8 (2020) 1505. [CrossRef] [Google Scholar]
  • S. Ayed, D. Sofiene and R. Nidhal, Joint optimisation of maintenance and production policies considering random demand and variable production rate. Int. J. Prod. Res. 50 (2012) 6870–6885. [CrossRef] [Google Scholar]
  • R.K. Bachar, S. Bhuniya, S.K. Ghosh and B. Sarkar, Sustainable green production model considering variable demand, partial outsourcing, and rework. AIMS Environ. Sci. 9 (2022) 325–353. [CrossRef] [Google Scholar]
  • R.K. Bachar, S. Bhuniya, S.K. Ghosh, A. AlArjani, E. Attia, M.S. Uddin and B. Sarkar, Product outsourcing policy for a sustainable flexible manufacturing system with reworking and green investment. Math. Biosci. Eng. 20 (2023) 1376–1401. [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]
  • A. Bhunia and A. Shaikh, A deterministic inventory model for deteriorating items with selling price dependent demand and three-parameter weibull distributed deterioration. Int. J. Ind. Eng. Comput. 5 (2014) 497–510. [Google Scholar]
  • Y.-H. Chen, C. Wang, P.-Y. Nie and Z.-R. Chen, A clean innovation comparison between carbon tax and cap-and-trade system. Energy Strategy Rev. 29 (2020) 100483. [CrossRef] [Google Scholar]
  • S.-B. Choi, B.K. Dey, S.J. Kim and B. Sarkar, Intelligent servicing strategy for an online-to-offline (O2O) supply chain under demand variability and controllable lead time. RAIRO: Oper. Res. 56 (2022) 1623–1653. [CrossRef] [EDP Sciences] [MathSciNet] [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) 1–27. [Google Scholar]
  • M. Denizel, S. Erengüç and H.P. Benson, Dynamic lot-sizing with setup cost reduction. Eur. J. Oper. Res. 100 (1997) 537–549. [CrossRef] [Google Scholar]
  • B.K. Dey and H. Seok, Intelligent inventory management with autonomation and service strategy. J. Intell. Manuf. (2022) 1–24. DOI: 10.1007/s10845-022-02046-4. [Google Scholar]
  • B.K. Dey, B. Sarkar and S. Pareek, A two-echelon supply chain management with setup time and cost reduction, quality improvement and variable production rate. Mathematics 7 (2019) 328. [Google Scholar]
  • B.K. Dey, B. Sarkar, M. Sarkar and S. Pareek, An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling price dependent demand, and investment. RAIRO: Oper. Res. 53 (2019) 39–57. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • B.K. Dey, S. Bhuniya and B. Sarkar, Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management. Expert Syst. Appl. 184 (2021) 115464. [CrossRef] [Google Scholar]
  • B.K. Dey, S. Pareek, M. Tayyab and B. Sarkar, Autonomation policy to control work-in-process inventory in a smart production system. Int. J. Prod. Res. 59 (2021) 1258–1280. [Google Scholar]
  • B.K. Dey, J. Park and H. Seok, Carbon-emission and waste reduction of a manufacturing–remanufacturing system using green technology and autonomated inspection. RAIRO: Oper. Res. 56 (2022) 2801–2831. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • B.K. Dey, I. Yilmaz and H. Seok, A sustainable supply chain integrated with autonomated inspection, flexible eco-production, and smart transportation. Processes 10 (2022) 1775. [CrossRef] [Google Scholar]
  • M. Freimer, D. Thomas and J. Tyworth, The value of setup cost reduction and process improvement for the economic production quantity model with defects. Eur. J. Oper. Res. 173 (2006) 241–251. [CrossRef] [Google Scholar]
  • P. Gautam and A. Khanna, An imperfect production inventory model with setup cost reduction and carbon emission for an integrated supply chain. Uncertain Supply Chain Manage. 6 (2018) 271–286. [Google Scholar]
  • P. Gautam, A. Khanna and C.K. Jaggi, An integrated green supply chain model with product recovery management towards a cleaner system. J. Cleaner Prod. 320 (2021) 128850. [CrossRef] [Google Scholar]
  • M. George, N.M. Ngoc, L.K.Y. Nhi, V.N.D. Tung, L.P.T. Truc and R. Nayak, Lean manufacturing: case studies from fashion and textile industries, in Lean Supply Chain Management in Fashion and Textile Industry. Springer (2022) 269–290. [CrossRef] [Google Scholar]
  • A. Ghosh, J.K. Jha and S. Sarmah, Optimal lot-sizing under strict carbon cap policy considering stochastic demand. Appl. Math. Modell. 44 (2017) 688–704. [CrossRef] [Google Scholar]
  • S. Ghosh, K.-H. Küfer, S.K. Roy and G.-W. Weber, Carbon mechanism on sustainable multi-objective solid transportation problem for waste management in pythagorean hesitant fuzzy environment. Complex Intell. Syst. 8 (2022) 4115–4143. [CrossRef] [Google Scholar]
  • M.R. Hasan, T.C. Roy, Y. Daryanto and H.-M. Wee, Optimizing inventory level and technology investment under a carbon tax, cap-and-trade and strict carbon limit regulations. Sustainable Prod. Consumption 25 (2021) 604–621. [CrossRef] [Google Scholar]
  • P. He, W. Zhang, X. Xu and Y. Bian, Production lot-sizing and carbon emissions under cap-and-trade and carbon tax regulations. J. Cleaner Prod. 103 (2015) 241–248. [CrossRef] [Google Scholar]
  • G. Hua, T. Cheng, Y. Zhang, J. Zhang and S.Y. Wang, Carbon-constrained perishable inventory management with freshness-dependent demand. Int. J. Simul. Modell. 15 (2016) 542–552. [CrossRef] [Google Scholar]
  • B. Karthick and R. Uthayakumar, A multi-item sustainable manufacturing model with discrete setup cost and carbon emission reduction under deterministic and trapezoidal fuzzy demand. Process Integr. Optim. Sustainability 5 (2021) 505–543. [CrossRef] [Google Scholar]
  • A. Khanna and S. Yadav, Effect of carbon-tax and cap-and-trade mechanism on an inventory system with price-sensitive demand and preservation technology investment. Yugoslav J. Oper. Res. 30 (2020) 361–380. [CrossRef] [Google Scholar]
  • S. Kumar, M. Sigroha, K. Kumar and B. Sarkar, Manufacturing/remanufacturing based supply chain management under advertisements and carbon emissions process. RAIRO: Oper. Res. 56 (2022) 831–851. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • U. Mishra, J.-Z. Wu and B. Sarkar, Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. J. Cleaner Prod. 279 (2021) 123699. [CrossRef] [Google Scholar]
  • T. Nye, E.M. Jewkes and D.M. Dilts, Optimal investment in setup reduction in manufacturing systems with WIP inventories. Eur. J. Oper. Res. 135 (2001) 128–141. [CrossRef] [Google Scholar]
  • S.K. Paul and P. Chowdhury, A production recovery plan in manufacturing supply chains for a high-demand item during covid-19. Int. J. Phys. Distrib. Logistics Manage. 51 (2021) 104–125. [CrossRef] [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, R.V. Pinto, S.K. Roy, N. Maculan and G.W. Weber, Effects of multiple prepayments and green investment on an EPQ model. J. Ind. Manage. Optim. 19 (2023) 6688–6704. [CrossRef] [Google Scholar]
  • H. Polatoglu and I. Sahin, Optimal procurement policies under price-dependent demand. Int. J. Prod. Econ. 65 (2000) 141–171. [CrossRef] [Google Scholar]
  • E.L. Porteus, Investing in reduced setups in the EOQ model. Manage. Sci. 31 (1985) 998–1010. [Google Scholar]
  • Z. Radnor, Implementing lean in health care: making the link between the approach, readiness and sustainability. Int. J. Ind. Eng. Manage. 2 (2011) 1. [Google Scholar]
  • S. Rani, R. Ali and A. Agarwal, Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand. Opsearch 56 (2019) 91–122. [CrossRef] [MathSciNet] [Google Scholar]
  • S. Ruidas, M.R. Seikh and P.K. Nayak, An EPQ model with stock and selling price dependent demand and variable production rate in interval environment. Int. J. Syst. Assur. Eng. Manage. 11 (2020) 385–399. [CrossRef] [Google Scholar]
  • S. Saha and N. Sen, An inventory model for deteriorating items with time and price-dependent demand and shortages under the effect of inflation. Int. J. Math. Oper. Res. 14 (2019) 377–388. [CrossRef] [MathSciNet] [Google Scholar]
  • A. Sanabria Machuca, G. Zavala Salinas, E. Altamirano Flores and C. Del Carpio, Integrated model of lean manufacturing with inventory management to reduce inventory and scrap generated in the construction finishing sector, in The 2021 7th International Conference on Industrial and Business Engineering. ACM (2021) 321–325. [Google Scholar]
  • B. Sarkar, A production-inventory model with probabilistic deterioration in two-echelon supply chain management. Appl. Math. Modell. 37 (2013) 3138–3151. [CrossRef] [Google Scholar]
  • B. Sarkar and I. Moon, Improved quality, setup cost reduction, and variable backorder costs in an imperfect production process. Int. J. Prod. Econ. 155 (2014) 204–213. [Google Scholar]
  • B. Sarkar, L.E. Cárdenas-Barrón, M. Sarkar and M.L. Singgih, An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. J. Manuf. Syst. 33 (2014) 423–435. [Google Scholar]
  • B. Sarkar, S. Saren, M. Sarkar and Y.W. Seo, A stackelberg game approach in an integrated inventory model with carbon-emission and setup cost reduction. Sustainability 8 (2016) 1244. [CrossRef] [Google Scholar]
  • B. Sarkar, A. Majumder, M. Sarkar, N. Kim and M. Ullah, Effects of variable production rate on quality of products in a single-vendor multi-buyer supply chain management. Int. J. Adv. Manuf. Technol. 99 (2018) 567–581. [Google Scholar]
  • B. Sarkar, B.K. Dey, M. Sarkar and S.J. Kim, A smart production system with an autonomation technology and dual-channel retailing. Comput. Ind. Eng. 173 (2022) 108607. [CrossRef] [Google Scholar]
  • B. Sarkar, J. Joo, Y. Kim, H. Park and M. Sarkar, Controlling defective items in a complex multi-phase manufacturing system. RAIRO: Oper. Res. 56 (2022) 871–889. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • B. Sarkar, B. Mridha and S. Pareek, A sustainable smart multi-type biofuel manufacturing with the optimum energy utilization under flexible production. J. Cleaner Prod. 332 (2022) 129869. [CrossRef] [Google Scholar]
  • B.R. Sarker and E.R. Coates, Manufacturing setup cost reduction under variable lead times and finite opportunities for investment. Int. J. Prod. Econ. 49 (1997) 237–247. [CrossRef] [Google Scholar]
  • A.K. Sethi and S.P. Sethi, Flexibility in manufacturing: a survey. Int. J. Flexible Manuf. Syst. 2 (1990) 289–328. [CrossRef] [Google Scholar]
  • G. Singer and E. Khmelnitsky, A production-inventory problem with price-sensitive demand. Appl. Math. Modell. 89 (2021) 688–699. [CrossRef] [Google Scholar]
  • S. Singhal and M. Vishnoi, Flexible production inventory model with time dependent holding cost and reliability process. Reliab. Theory App. 16 (2021) 123–131. [Google Scholar]
  • W.G. Sullivan, T.N. McDonald and E.M. Van Aken, Equipment replacement decisions and lean manufacturing. Rob. Comput.-Integr. Manuf. 18 (2002) 255–265. [CrossRef] [Google Scholar]
  • R. Sundar, A. Balaji and R.S. Kumar, A review on lean manufacturing implementation techniques. Proc. Eng. 97 (2014) 1875–1885. [CrossRef] [Google Scholar]
  • A.A. Taleizadeh, B. Hazarkhani and I. Moon, Joint pricing and inventory decisions with carbon emission considerations, partial backordering and planned discounts. Ann. Oper. Res. 290 (2020) 95–113. [CrossRef] [MathSciNet] [Google Scholar]
  • A.A. Taleizadeh, L. Aliabadi and P. Thaichon, A sustainable inventory system with price-sensitive demand and carbon emissions under partial trade credit and partial backordering. Oper. Res. 22 (2022) 4471–4516. [Google Scholar]
  • M. Tayyab and B. Sarkar, Optimal batch quantity in a cleaner multi-stage lean production system with random defective rate. J. Cleaner Prod. 139 (2016) 922–934. [CrossRef] [Google Scholar]
  • M. Tayyab, B. Sarkar and M. Ullah, Sustainable lot size in a multistage lean-green manufacturing process under uncertainty. Mathematics 7 (2018) 20. [CrossRef] [Google Scholar]
  • J. Ventura, K. Bunn, B. Venegas and L. Duan, A coordination mechanism for supplier selection and order quantity allocation with price-sensitive demand and finite production rates. Int. J. Prod. Econ. 233 (2020) 108007. [Google Scholar]
  • Y.-B. Woo, I. Moon and B.S. Kim, Production-inventory control model for a supply chain network with economic production rates under no shortages allowed. Comput. Ind. Eng. 160 (2021) 107558. [CrossRef] [Google Scholar]
  • D. Yadav, S.R. Singh, S. Kumar and L.E. Cárdenas-Barrón, Manufacturer–retailer integrated inventory model with controllable lead time and service level constraint under the effect of learning-forgetting in setup cost. Sci. Iran. 29 (2022) 800–815. [Google Scholar]
  • S. Yadav, P. Priyamvada and A. Khanna, Covid-19 impact on a sustainable production model with volume agility and advertisement dependent demand. Int. J. Supply Oper. Manage. (2021). DOI: 10.22034/ijsom.2021.108791.1947. [Google Scholar]
  • P. You, Inventory policy for products with price and time-dependent demands. J. Oper. Res. Soc. 56 (2005) 870–873. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.