Open Access
Issue |
RAIRO-Oper. Res.
Volume 59, Number 4, July-August 2025
|
|
---|---|---|
Page(s) | 1803 - 1823 | |
DOI | https://doi.org/10.1051/ro/2025041 | |
Published online | 14 July 2025 |
- M.S. Habib, O. Asghar, A. Hussain, M. Imran, M.P. Mughal and B. Sarkar, A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. J. Clean. Prod. 278 (2021) 122403. [CrossRef] [Google Scholar]
- R. Guchhait and B. Sarkar, A decision-making problem for product outsourcing with flexible production under a global supply chain management. Int. J. Prod. Econ. 272 (2024) 109230. [CrossRef] [Google Scholar]
- U. Chaudhari, A. Bhadoriya, M. Jani and B. Sarkar, A generalized payment policy for deteriorating items when demand depends on price, stock, and advertisement under carbon tax regulations. Math. Comput. Simul. 207 (2022) 556–574. [Google Scholar]
- S. Nagaraj, Role of consumer health consciousness, food safety & attitude on organic food purchase in emerging market: A serial mediation model. J. Retail. Consum. Serv. 59 (2021) 102423. [Google Scholar]
- S. Sana, S.K. Goyal and K.S. Chaudhuri, A production–inventory model for a deteriorating item with trended demand and shortages. Eur. J. Oper. Res. 157 (2004) 357–371. [Google Scholar]
- B. Sarkar and S. Bhuniya, A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand. Expert Syst. App. 202 (2022) 117154. [CrossRef] [Google Scholar]
- A. Garai and B. Sarkar, Economically independent reverse logistics of customer-centric closed-loop supply chain for herbal medicines and biofuel. J. Clean. Prod. 334 (2022) 129977. [CrossRef] [Google Scholar]
- M.C. Chen, C.L. Hsu and C.H. Huang, Applying the Kano model to investigate the quality of transportation services at mega events. J. Retail. Consum. Serv. 60 (2021) 102442. [Google Scholar]
- H. Cui, J. Qiu, J. Cao, M. Guo, X. Chen and S. Gorbachev, Route optimization in township logistics distribution considering customer satisfaction based on adaptive genetic algorithm. Math. Comput. Simul. 204 (2022) 28–42. [Google Scholar]
- F.W. Harris, How many parts to make at once factory. Mag. Manage. 10 (1913) 135–136. [Google Scholar]
- Y. Zhang, L. Li, X. Tian and C. Feng, Inventory management-research for growing items with carbon-constrained, in 2016 35th Chinese Control Conference (CCC). IEEE (2016) 9588–9593. [Google Scholar]
- A.H. Nobil, A.H. Afshar Sedigh and L.E. Cárdenas-Barrón, A generalized economic order quantity inventory model with shortage: case study of a poultry farmer. Ara. J. Sci. Eng. 44 (2018) 2653–2663. [Google Scholar]
- M. Sebatjane and O. Adetunji, Economic order quantity model for growing items with imperfect quality. Oper. Res. Perspect. 6 (2018) 100088. [Google Scholar]
- H.K. Alfares and A.R. Afzal, An economic order quantity model for growing items with imperfect quality and shortages. Ara. J. Sci. Eng. 46 (2020) 1863–1875. [Google Scholar]
- M. Sebatjane and O. Adetunji, Optimal lot-sizing and shipment decisions in a three-echelon supply chain for growing items with inventory level- and expiration date-dependent demand. App. Math. Model. 90 (2021) 1204–1225. [Google Scholar]
- K.A.C. Amankou, R. Guchhait, B. Sarkar and H. Dem, Product-specified dual-channel retail management with significant consumer service. J. Retail. Consum. Serv. 79 (2024) 103788. [CrossRef] [Google Scholar]
- B. Sarkar, B. Mridha, S. Pareek, M. Sarkar and L. Thangavelu, A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. J. Clean. Prod. 317 (2021) 128079. [CrossRef] [Google Scholar]
- M.K. Salameh and M.Y. Jaber, Economic production quantity model for items with imperfect quality. Int. J. Prod. Econ. 64 (1999) 59–64. [Google Scholar]
- H.C. Chang, An application of fuzzy sets theory to the EOQ model with imperfect quality items. Comput. Oper. Res. 31 (2003) 2079–2092. [Google Scholar]
- J. Yu, H. Wee and J. Chen, Optimal ordering policy for a deteriorating item with imperfect quality and partial backordering. J. Chin. Inst. Ind. Eng. 22 (2005) 509–520. [Google Scholar]
- W. Ahmed, M. Moazzam, B. Sarkar and S.U. Rehman, Synergic effect of reworking for imperfect quality items with the integration of multi-period delay-in-payment and partial backordering in global supply chains. Engineering 7 (2021) 260–271. [CrossRef] [MathSciNet] [Google Scholar]
- C.K. Jaggi, L.E. Cárdenas-Barrón, S. Tiwari and A. Shafi, Two-warehouse inventory model for deteriorating items with imperfect quality under the conditions of permissible delay in payments. Sci. Iran. 24 (2017) 390–412. [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]
- S. Panja and S.K. Mondal, Analyzing a four-layer green supply chain imperfect production inventory model for green products under type-2 fuzzy credit period. Comput. Ind. Eng. 129 (2019) 435–53. [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. Clean. Prod. 332 (2022) 129869. [CrossRef] [Google Scholar]
- S. Tiwari, Y. Daryanto and H.M. Wee, Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission. J. Clean. Prod. 192 (2018) 281–292. [Google Scholar]
- M. Sarkar, B. Ganguly, H. Dem, M. Pramanik, B. Sarkar, N. Bar, S. Pareek and L.E. Cárdenas-Barrón, Risk due to insufficient retail service management considering satisfaction level for distributor and consumer. J. Retail. Consum. Serv. 81 (2024) 103960. [Google Scholar]
- M. Sebatjane and O. Adetunji, Optimal inventory replenishment and shipment policies in a four-echelon supply chain for growing items with imperfect quality. Prod. Manuf. Res. 8 (2020) 130–157. [Google Scholar]
- B. Sarkar, S. Sao and S.K. Ghosh, Smart production and photocatalytic ultraviolet (PUV) wastewater treatment effect on a textile supply chain management. Int. J. Prod. Econ. 283 (2025) 109557. [CrossRef] [Google Scholar]
- J.-J. Liao, K.-N. Huang, K.-J. Chung, S.-D. Lin, S.-T. Chuang and H.M. Srivastava, Optimal ordering policy in an economic order quantity (EOQ) model for non-instantaneous deteriorating items with defective quality and permissible delay in payments. Rev. de la Real Acad. de Ciencias Exactas Físicas y Nat. Ser. A Math. 114 (2019) 1–26. [Google Scholar]
- M. Tayyab, J. Jemai, H. Lim and B. Sarkar, A sustainable development framework for a cleaner multi-item multi-stage textile production system with a process improvement initiative. J. Clean. Prod. 246 (2020) 119055. [CrossRef] [Google Scholar]
- A. Sarkar, R. Guchhait and B. Sarkar, Application of the artificial neural network with multithreading within an inventory model under uncertainty and inflation. Int. J. Fuzzy Syst. 24 (2022) 2318–2332. [CrossRef] [Google Scholar]
- K.-L. Hou, H.M. Srivastava, L.-C. Lin and S.-F. Lee, The impact of system deterioration and product warranty on optimal lot sizing with maintenance and shortages backordered. Rev. de la Real Acad. de Ciencias Exactas Físicas y Nat. Ser. A Math. 115 (2021) 1–8. [Google Scholar]
- L.E. Cárdenas-Barrón, O.A. Marquez-Rios, I. Sánchez-Romero and B. Mandal, Optimizing price, lot size and back-ordering level for products with imperfect quality, different holding costs and non-linear demand. Rev. de la Real Acad. de Ciencias Exactas Físicas y Nat. Ser. A Math. 116 (2021) 48. [Google Scholar]
- R. Guchhait and B. Sarkar, Economic evaluation of an outsourced fourth-party logistics (4PL) under a flexible production system. Int. J. Prod. Econ. 279 (2025) 109440. [CrossRef] [Google Scholar]
- S. Kumar, M. Sigroha, N. Kumar, M. Kumari and B. Sarkar, How does the retail price maintain trade-credit management with continuous investment to support the cash flow? J. Retail. Consum. Serv. 83 (2025) 104116. [CrossRef] [Google Scholar]
- S. Tiwari, C.K. Jaggi, M. Gupta and L.E. Cárdenas-Barrón, Optimal pricing and lot-sizing policy for supply chain system with deteriorating items under limited storage capacity. Int. J. Prod. Econ. 200 (2018) 278–290. [Google Scholar]
- M.Y. Jani, M.R. Betheja, U. Chaudhari and B. Sarkar, Optimal investment in preservation technology for variable demand under trade-credit and shortages. Mathematics 9 (2021) 1301. [CrossRef] [Google Scholar]
- C.K. Jaggi, M. Gupta, A. Kausar and S. Tiwari, Inventory and credit decisions for deteriorating items with displayed stock dependent demand in two-echelon supply chain using Stackelberg and Nash equilibrium solution. Ann. Oper. Res. 274 (2018) 309–329. [Google Scholar]
- M. Beranek and U. Buscher, Optimal price and quality decisions of a supply chain game considering imperfect quality items and market segmentation. Appl. Math. Model. 91 (2020) 1227–1244. [Google Scholar]
- B. Sarkar, A. Debnath, A.S.F. Chiu and W. Ahmed, Circular economy-driven two-stage supply chain management for nullifying waste. J. Clean. Prod. 339 (2022) 130513. [Google Scholar]
- Q. Wu, Y. Mu and Y. Feng, Coordinating contracts for fresh product outsourcing logistics channels with power structures. Int. J. Prod. Econ. 160 (2014) 94–105. [Google Scholar]
- Q. Bai, M. Chen and L. Xu, Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items. Int. J. Prod. Econ. 187 (2017) 85–101. [Google Scholar]
- N.H. Shah, M.Y. Jani and U. Chaudhari, Study of imperfect manufacturing system with preservation technology investment under inflationary environment for quadratic demand: a reverse logistic approach. J. Adv. Manuf. Syst. 16 (2017) 17–34. [CrossRef] [Google Scholar]
- A.S. Mahapatra, S. Sengupta, A. Dasgupta, B. Sarkar and R.T. Goswami, What is the impact of demand patterns on integrated online–offline and buy-online-pickup in-store (BOPS) retail in a smart supply chain management? J. Retail. Consum. Serv. 82 (2025) 104093. [Google Scholar]
- X. Ma, S. Wang, S.M.N. Islam and X. Liu, Coordinating a three-echelon fresh agricultural products supply chain considering freshness-keeping effort with asymmetric information. Appl. Math. Model. 67 (2019) 337–56. [Google Scholar]
- B. Sarkar, M. Omair and N. Kim, A cooperative advertising collaboration policy in supply chain management under uncertain conditions. Appl. Soft Comput. 88 (2020) 105948. [CrossRef] [Google Scholar]
- M.S. Habib, M. Omair, M.B. Ramzan, T.N. Chaudhary, M. Farooq and B. Sarkar, A robust possibilistic flexible programming approach toward a resilient and cost-efficient biodiesel supply chain network. J. Clean. Prod. 366 (2022) 132752. [CrossRef] [Google Scholar]
- D. Yadav, R. Singh, A. Kumar and B. Sarkar, Reduction of pollution through sustainable and flexible production by controlling by-products. J. Environ. Inf. 40 (2022) 106. [Google Scholar]
- B. Sarkar, S. Bhattacharya and M. Sarkar, Integrating smart production and multi-objective reverse logistics for the optimum consumer-centric complex retail strategy towards a smart factorys solution. J. Indust. Inform. Integr. 46 (2025) 100856. [Google Scholar]
- B. Pal, A. Mandal and S.S. Sana, Two-phase deteriorated supply chain model with variable demand and imperfect production process under two-stage credit financing. RAIRO-Oper. Res. 55 (2021) 457–480. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- B. Sarkar, A.S.H. Kugele and M. Sarkar, Two non-linear programming models for the multi-stage multi-cycle smart production system with autonomation and remanufacturing in same and different cycles to reduce wastes. J. Indust. Inform. Integrat. 44 (2025) 100749. [Google Scholar]
- B. Sarkar and R. Guchhait, Ramification of information asymmetry on a green supply chain management with the cap-trade, service, and vendor-managed inventory strategies. Electron. Commer. Res. App. 60 (2023) 101274. [Google Scholar]
- D. Ma, H. Qin and J. Hu, Impacts of blockchain technology on food supply chains with potential food contamination. Electron. Comm. Res. App. 64 (2024) 101375. [Google Scholar]
- A. Datta, B.K. Dey, S. Bhuniya, I. Sangal, B. Mandal, M. Sarkar, R. Guchhait, B. Sarkar and B. Ganguly, Adaptation of e-commerce retailing to enhance customer satisfaction within a dynamical system under transfer of risk. J. Retail. Consum. Serv. 84 (2025) 104129. [CrossRef] [Google Scholar]
- I. Moon, W.Y. Yun and B. Sarkar, Effects of variable setup cost, reliability, and production costs under controlled carbon emissions in a reliable production system. Eur. J. Ind. Eng. 16 (2022) 371–397. [CrossRef] [Google Scholar]
- S. Botello-Aceves, A. Hernandez-Aguirre and S.I. Valdez, The directed multi-objective estimation distribution algorithm (D-MOEDA). Math. Comput. Simul. 214 (2023) 334–351. [Google Scholar]
- B. Brahmi, I. El Bojairami, M.H. Laraki, C.Z. El-Bayeh and M. Saad, Impedance learning control for physical human-robot cooperative interaction. Math. Comput. Simul. 190 (2021) 1224–1242. [Google Scholar]
- B. Sarkar, N. Bairagi and S. Bhattacharya, An integrated dynamic biological supply chain management with three layers under logistic strategies. Comput. Ind. Eng. 194 (2024) 110387. [Google Scholar]
- B. Sarkar, S. Bhattacharya and M. Sarkar, Integrating smart production and multi-objective reverse logistics for the optimum consumer-centric complex retail strategy towards a smart factorys solution. J. Indust. Inform. Integrat. 46 (2025) 100856. [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. Clean. Prod. 262 (2020) 121200. [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.