EDP Sciences logo
Subscriber Authentication Point
Search
Menu
All issues Volume 56 / No 1 (January-February 2022) RAIRO-Oper. Res., 56 1 (2022) 183-197 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 1, January-February 2022
Page(s) 183 - 197
DOI https://doi.org/10.1051/ro/2021188
Published online 07 February 2022
  • M. Ben-Daya and M. Hariga, Economic lot scheduling problem with imperfect production processes. J. Oper. Res. Soc. 51 (2000) 875–881. [Google Scholar]
  • A.K. Bhunia and M. Maiti, An inventory model for decaying items with selling price, frequency of advertisement and linearly time-dependent demand with shortages. IAPQR Trans. 22 (1997) 41–50. [Google Scholar]
  • K. Biel and C.H. Glock, Systematic literature review of decision support models for energy-efficient production planning. Comput. Ind. Eng. 101 (2016) 243–259. [CrossRef] [Google Scholar]
  • K. Bunse, M. Vodicka, P. Schönsleben, M. Brülhart and F.O. Ernst, Integrating energy efficiency performance in production management–gap analysis between industrial needs and scientific literature. J. Clean. Prod. 19 (2011) 667–679. [CrossRef] [Google Scholar]
  • L.E. Cárdenas-Barrón, Economic production quantity with rework process at a single-stage manufacturing system with planned backorders. Comput. Ind. Eng. 57 (2009) 1105–1113. [Google Scholar]
  • Y.P. Chiu, Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging. Eng. Optim. 35 (2003) 427–437. [CrossRef] [Google Scholar]
  • S.W. Chiu, D.C. Gong and H.M. Wee, Effects of random defective rate and imperfect rework process on economic production quantity model. Jpn. J. Ind. Appl. Math. 21 (2004) 375. [CrossRef] [Google Scholar]
  • R.R. Choudhury, S.K. Ghosh and K.S. Chaudhuri, The effect of imperfect production in an economic production lot size model. Int. J. Manag. Sci. Eng. Manag. 10 (2015) 288–296. [Google Scholar]
  • K.J. Chung and K.L. Hou, An optimal production run time with imperfect production processes and allowable shortages. Comput. Oper. Res. 30 (2003) 483–490. [Google Scholar]
  • S. Dari and B. Sani, An EPQ model for delayed deteriorating items with quadratic demand and linear holding cost. Opsearch 57 (2020) 46–72. [CrossRef] [MathSciNet] [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]
  • C.G. De-la-Cruz-Márquez, L.E. Cárdenas-Barrón and B. Mandal, An inventory model for growing items with imperfect quality when the demand is price sensitive under carbon emissions and shortages. Math. Probl. Eng. (2021) 1–23. [CrossRef] [Google Scholar]
  • A. Eroglu and G. Ozdemir, An economic order quantity model with defective items and shortages. Int. J. Prod. Econ. 106 (2007) 544–549. [Google Scholar]
  • P. Gautam, A. Kishore, A. Khanna and C.K. Jaggi, Strategic defect management for a sustainable green supply chain. J. Clean. Prod. 233 (2019) 226–241. [CrossRef] [Google Scholar]
  • P. Gautam, A. Khanna and C.K. Jaggi, Preservation technology investment for an inventory system with variable deterioration rate under expiration dates and price sensitive demand. Yugosl. J. Oper. Res. 30 (2020) 289–305. [Google Scholar]
  • P. Gautam, S. Maheshwari, A. Kausar and C.K. Jaggi, Inventory models for imperfect quality items: a two-decade review. Adv. Interdiscip. Res. Eng. Business Manag. (2021) 185–215. [CrossRef] [Google Scholar]
  • C.H. Glock and M.Y. Jaber, Learning effects and the phenomenon of moving bottlenecks in a two-stage production system. Appl. Math. Model. 37 (2013) 8617–8628. [CrossRef] [MathSciNet] [Google Scholar]
  • C.H. Glock, M.Y. Jaber and C. Searcy, Sustainability strategies in an EPQ model with price- and quality- sensitive demand. Int. J. Logist. Manag. 23 (2012) 340–359. [CrossRef] [Google Scholar]
  • S.K. Goyal and A. Gunasekaran, An integrated production-inventory-marketing model for deteriorating items. Comput. Ind. Eng. 28 (1995) 755–762. [Google Scholar]
  • R. Guchhait, B.K. Dey, S. Bhuniya, B. Ganguly, B. Mandal, R.K. Bachar, B. Sarkar, H.M. Wee and K. Chaudhuri, Investment for process quality improvement and setup cost reduction in an imperfect production process with warranty policy and shortages. RAIRO-Oper. Res. 54 (2020) 251–266. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • F.W. Harris, How many parts to make at once. Fact. Mag. Manag. 10 (1913) 135–136. [Google Scholar]
  • P.A. Hayek and M.K. Salameh, Production lot sizing with the reworking of imperfect quality items produced. Prod. Plan. Control. 12 (2001) 584–590. [CrossRef] [Google Scholar]
  • H.W. Jeon, M. Taisch and V.V. Prabhu, Modelling and analysis of energy footprint of manufacturing systems. Int. J. Prod. Res. 53 (2015) 7049–7059. [CrossRef] [Google Scholar]
  • C.W. Kang, M. Ullah, B. Sarkar, I. Hussain and R. Akhtar, Impact of random defective rate on lot size focusing work-in-process inventory in manufacturing system. Int. J. Prod. Res. 55 (2017) 1748–1766. [CrossRef] [Google Scholar]
  • A. Khanna, A. Kishore and C.K. Jaggi, Strategic production modeling for defective items with imperfect inspection process, rework, and sales return under two-level trade credit. Int. J. Ind. Eng. Comput. 8 (2017) 85–118. [Google Scholar]
  • A. Khanna, P. Gautam, A. Hasan and C.K. Jaggi, Inventory and pricing decisions for an imperfect production system with quality inspection, rework and carbon-emissions. Yugosl. J. Oper. Res. 30 (2020) 339–360. [CrossRef] [Google Scholar]
  • A. Khanna, P. Gautam, B. Sarkar and C.K. Jaggi, Integrated vendor–buyer strategies for imperfect production systems with maintenance and warranty policy. RAIRO-Oper. Res. 54 (2020) 435–450. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • U.K. Khedlekar and R.K. Tiwari, Imperfect production model for sensitive demand with shortage. Reliab. Theory Appl. 13 (2018) 43–54. [Google Scholar]
  • A. Kishore, P. Gautam, A. Khanna and C.K. Jaggi, Investigating the effect of learning on setup cost in imperfect production systems using two-way inspection plan for rework under screening constraints. Sci. Iran. 27 (2020) 3265–3288. [Google Scholar]
  • P. Kotler, Marketing decision making: a model building approach, Holt, Rinehart, and Winston (1972) 23–37. [Google Scholar]
  • S. Ladany and A. Sternlieb, The interaction of economic ordering quantities and marketing policies. AIIE Trans. 6 (1974) 35–40. [CrossRef] [Google Scholar]
  • H.L. Lee, Lot sizing to reduce capacity utilization in a production process with defective items, process corrections, and rework. Manage. Sci. 38 (1992) 1314–1328. [CrossRef] [Google Scholar]
  • H.H. Lee, M.J. Chandra and V.J. Deleveaux, Optimal batch size and investment in multistage production systems with scrap. Prod. Plan. Control. 8 (1997) 586–596. [CrossRef] [Google Scholar]
  • W. Luo, An integrated inventory system for perishable goods with backordering. Comput. Ind. Eng. 34 (1998) 685–693. [CrossRef] [MathSciNet] [Google Scholar]
  • A.K. Manna, B. Das and S. Tiwari, Impact of carbon emission on imperfect production inventory system with advance payment base free transportation. RAIRO-Oper. Res. 54 (2020) 1103–1117. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • B. Marchi, S. Zanoni, I. Ferretti and L.E. Zavanella, Stimulating investments in energy efficiency through supply chain integration. Energies 11 (2018) 858. [CrossRef] [Google Scholar]
  • B. Marchi, S. Zanoni and M.Y. Jaber, Economic production quantity model with learning in production, quality, reliability and energy efficiency. Comput. Ind. Eng. 129 (2019) 502–511. [CrossRef] [Google Scholar]
  • U. Mishra, J.Z. Wu and B. Sarkar, Optimum sustainable inventory management with backorder and deterioration under controllable carbon emissions. J. Clean. Prod. 279 (2021) 123699. [CrossRef] [Google Scholar]
  • N.M. Modak, D.K. Ghosh, S. Panda and S.S. Sana, Managing green house gas emission cost and pricing policies in a two-echelon supply chain. CIRP J. Manuf. Sci. Technol. 20 (2018) 1–11. [Google Scholar]
  • B. Mondal, A.K. Bhunia and M. Maiti, Inventory models for defective items incorporating marketing decisions with variable production cost. Appl. Math. Model. 33 (2009) 2845–2852. [CrossRef] [MathSciNet] [Google Scholar]
  • L. Moussawi-Haidar, M. Salameh and W. Nasr, Production lot sizing with quality screening and rework. Appl. Math. Model. 40 (2016) 3242–3256. [Google Scholar]
  • G. Mouzon, M.B. Yildirim and J. Twomey, Operational methods for minimization of energy consumption of manufacturing equipment. Int. J. Prod. Res. 45 (2007) 4247–4271. [CrossRef] [Google Scholar]
  • E.L. Porteus, Optimal lot sizing, process quality improvement and setup cost reduction. Oper. Res. 34 (1986) 137–144. [Google Scholar]
  • A.K. Purohit, R. Shankar, P.K. Dey and A. Choudhary, Non-stationary stochastic inventory lot-sizing with emission and service level constraints in a carbon cap-and-trade system. J. Clean. Prod. 113 (2016) 654–661. [CrossRef] [Google Scholar]
  • M.J. Rosenblatt and H.L. Lee, Economic production cycles with imperfect production processes. IIE Trans. 18 (1986) 48–55. [Google Scholar]
  • C. Rout, R.S. Kumar, D. Chakraborty and A. Goswami, An EPQ model for deteriorating items with imperfect production, inspection errors, rework and shortages: a type-2 fuzzy approach. Opsearch 56 (2019) 657–688. [CrossRef] [MathSciNet] [Google Scholar]
  • C. Rout, A. Paul, R.S. Kumar, D. Chakraborty and A. Goswami, Cooperative sustainable supply chain for deteriorating item and imperfect production under different carbon emission regulations. J. Clean. Prod. 272 (2020) 122170. [CrossRef] [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. Manag. 11 (2020) 385–399. [CrossRef] [Google Scholar]
  • S. Ruidas, M.R. Seikh and P.K. Nayak, A production inventory model with interval-valued carbon emission parameters under price-sensitive demand. Comput. Ind. Eng. 154 (2021) 107154. [CrossRef] [Google Scholar]
  • M.K. Salameh and M.Y. Jaber, Economic production quantity model for items with imperfect quality. Int. J. Prod. Econ. 64 (2000) 59–64. [Google Scholar]
  • S.S. Sana, An economic production lot size model in an imperfect production system. Eur. J. Oper. Res. 201 (2010) 158–170. [Google Scholar]
  • N.H. Shah, D.G. Patel and D.B. Shah, EPQ model for returned/reworked inventories during imperfect production process under price-sensitive stock-dependent demand. Oper. Res. 18 (2018) 343–359. [Google Scholar]
  • E.-S. Subramanyam and S. Kumaraswamy, EOQ formula under varying marketing policies and conditions. AIIE Trans. 13 (1981) 312–314. [CrossRef] [Google Scholar]
  • E.W. Taft, The most economical production lot. Iron Age 101 (1918) 1410–1412. [Google Scholar]
  • A.H. Tai, Economic production quantity models for deteriorating/imperfect products and service with rework. Comput. Ind. Eng. 66 (2013) 879–888. [CrossRef] [Google Scholar]
  • J. Tang, S. Ji and L. Jiang, The design of a sustainable location-routing-inventory model considering consumer environmental behavior. Sustainability 8 (2016) 211. [CrossRef] [Google Scholar]
  • G.K. Tayi and D.P. Ballou, An integrated production-inventory model with reprocessing and inspection. Int. J. Prod. Res. 26 (1988) 1299–1315. [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]
  • T.L. Urban, Deterministic inventory models incorporating marketing decisions. Comput. Ind. Eng. 22 (1992) 85–93. [Google Scholar]
  • J. Xu, Y. Chen and Q. Bai, A two-echelon sustainable supply chain coordination under cap-and-trade regulation. J. Clean. Prod. 135 (2016) 42–56. [CrossRef] [Google Scholar]
  • L. Zhu, J. Zhou, Y. Yu and J. Zhu, Emission-Dependent Production for Environment-Aware Demand in Cap-and-Trade System. J. Adv. Manuf. Syst. 16 (2017) 67–80. [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.