Free Access
RAIRO-Oper. Res.
Volume 54, Number 1, January-February 2020
Page(s) 37 - 52
Published online 15 January 2020
  • S. Baiman, P.E. Fischer and M.V. Rajan, Information, contracting, and quality costs. Manag. Sci. 46 (2000) 776–789. [CrossRef] [Google Scholar]
  • R.D. Banker, I. Khosla and K.K. Sinha, Quality and competition. Manag. Sci. 44 (1998) 1179–1192. [CrossRef] [Google Scholar]
  • F. Bernstein and A. Federgruen, Coordination mechanisms for supply chains under price and service competition. M&SOM-Manuf. Serv. Op. 9 (2007) 242–262. [CrossRef] [Google Scholar]
  • A.K. Bhunia and A.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]
  • A.K. Bhunia, A.A. Shaikh and R.K. Gupta, A study on two warehouse partially backlogged deteriorating inventory models under inflation via particle swarm optimization. Int. J. Syst. Sci. 46 (2015) 1036–1050. [Google Scholar]
  • A.K. Bhunia and A.A. Shaikh, An application of PSO in a two-warehouse inventory model for deteriorating items under permissible delay in payment with different shortage policies. Appl. Math. Comput. 256 (2015) 831–850. [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh, G. Sharma and S. Pareek, A two-storage inventory model for deteriorating items with variable demand and partial backlogging. J. Ind. Prod. Eng. 32 (2015) 263–272. [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh and L.E. Crdenas-Barrn, A partially integrated production inventory model with interval valued inventory cost, variable demand and flexible reliability. Appl. Soft Comput. 55 (2017) 491–502. [Google Scholar]
  • A.K. Bhunia, A.A. Shaikh, V. Dhaka and S. Pareek, An application of Genetic Algorithm and PSO in an inventory model for single deteriorating item with variable demand dependent on marketing strategy and displayed stock level. Sci. Iran. 25 (2018) 1641–1655. [Google Scholar]
  • B.B. Cao, Z.P. Fan, H. Li and T.H. You, Inventory control and pricing for regret-averse newsvendor. RAIRO: OR 51 (2017) 1033–1054. [CrossRef] [Google Scholar]
  • M.A. Darwish, O.M. Odah and S.K. Goyal, Vendor managed inventory models for single-vendor multi-retailer supply chains with quality consideration. Int. J. Ind. Syst. Eng. 18 (2015) 499–527. [Google Scholar]
  • D. Ding and J. Chen, Coordinating a three level supply chain with flexible return policies. Omega 36 (2008) 865–876. [Google Scholar]
  • L.B. Forker, Factors affecting supplier quality performance. J. Oper. Manag. 15 (1997) 243–269. [CrossRef] [Google Scholar]
  • S.T. Foster Jr, Towards an understanding of supply chain quality management. J. Oper. Manag. 26 (2008) 461–467. [CrossRef] [Google Scholar]
  • R.B. Franca, E.C. Jones, C.N. Richards and J.P. Carlson, Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality. Int. J. Prod. Econ. 127 (2010) 292–299. [Google Scholar]
  • N. Gans, Customer loyalty and supplier quality competition. Manag. Sci. 48 (2002) 207–221. [CrossRef] [Google Scholar]
  • M.C. Georgiadis, P. Tsiakis, P. Longinidis and M. Sofioglou, Optimal design of supply chain networks under uncertain transient demand variations. Omega 39 (2011) 254–272. [Google Scholar]
  • I. Giannoccaro and P. Pontrandolfo, Supply chain coordination by revenue sharing contracts. Int. J. Prod. Econ. 89 (2004) 131–139. [Google Scholar]
  • Y. Huang and G.Q. Huang, Price competition and coordination in a multi-echelon supply chain. Eng. Lett. 18 (2010). [Google Scholar]
  • Y. He and X. Zhao, Coordination in multi-echelon supply chain under supply and demand uncertainty. Int. J. Prod. Econ. 139 (2012) 106–115. [Google Scholar]
  • M. Jaber and S. Goyal, Coordinating a three-level supply chain with multiple suppliers, a vendor and multiple buyers. Int. J. Prod. Econ. 116 (2008) 95–103. [Google Scholar]
  • M. Jaber, I. Osman and A. Guiffrida, Coordinating a three-level supply chain with price discounts, price dependent demand, and profit sharing. Int. J. Integrat. Supply Manag. 2 (2006) 28–48. [CrossRef] [Google Scholar]
  • M. Jaber, M. Bonney and A. Guiffrida, Coordinating a three-level supply chain with learning-based continuous improvement. Int. J. Prod. Econ. 127 (2010) 27–38. [Google Scholar]
  • M. Khouja, Optimizing inventory decisions in a multi-stage multi-customer supply chain. Trans. Res. Part E: Logist. Trans. Rev. 39 (2003) 193–208. [CrossRef] [Google Scholar]
  • P.I. Karipidis, Market evaluations of dimensions of design quality. Int. J. Prod. Econ. 129 (2011) 292–301. [Google Scholar]
  • C. Lin, W.S. Chow, C.N. Madu, C. Kuei and P. Yu, A structural equation model of supply chain quality management and organizational performance. Int. J. Prod. Econ. 96 (2005) 355–365. [Google Scholar]
  • J.H. Lee and I.K. Moon, Coordinated inventory models with compensation policy in a three level supply chain, edited byM. L. Gavrilova, O. Gervasi, V. Kumar, C.J. Kenneth Tan, D. Taniar, A. Laganà, H. Choo, Y. Mun. In: Computational Science and Its Applications – ICCSA. In Vol. 3982 of Lecture Notes in Computer Science. Springer, Berlin, Heidelberg. (2006) 600–609. [Google Scholar]
  • Z. Liu, Q. Zhao, S. Wang and J. Shi, Modeling the impact of partial information sharing in a three-echelon supply chain. Asia Pac. J. Oper. Res. 30 (2013) 1350020. [CrossRef] [Google Scholar]
  • W. Liu, D. Xie, Y. Liu and X. Liu, Service capability procurement decision in logistics service supply chain: a research under demand updating and quality guarantee. Int. J. Prod. Res. 53 (2015) 488–510. [Google Scholar]
  • T. Maiti and B.C. Giri, A closed loop supply chain under retail price and product quality dependent demand. J. Manufact. Sys. 37 (2015) 624–637. [CrossRef] [Google Scholar]
  • S.M.J. Mirzapour Al-e-Hashem, H. Malekly and M.B. Aryanezhad, A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty. Int. J. Prod. Econ. 134 (2011) 28–42. [Google Scholar]
  • U. Mishra, L.E. Crdenas-Barrn, S. Tiwari and A.A. Shaikh, An inventory model under price and stock dependent demand for controllable deterioration rate with shortages and preservation technology investment. Ann. Oper. Res. 254 (2017) 165–190. [Google Scholar]
  • C. Munson and M. Rosenblatt, Coordinating a three-level supply chain with quantity discounts. IIE. Trans. 33 (2001) 371–384. [Google Scholar]
  • G.C. Panda, M.A. Khan and A.A. Shaikh, A credit policy approach in a two-warehouse inventory model for deteriorating items with price and stock dependent demand under partial backlogging. J. Ind. Eng. Int. 15 (2019) 147–170. [CrossRef] [Google Scholar]
  • S.H.R. Pasandideh, S.T.A. Niaki and K. Asadi, Optimizing a bi-objective multi-product multi-period three echelon supply chain network with warehouse reliability. Expert Syst. Appl. 42 (2015) 2615–2623. [Google Scholar]
  • N.C. Petruzzi and M. Dada, Pricing and the newsvendor problem: a review with extensions. Manag. Sci. 47 (1999) 183–194. [Google Scholar]
  • Z.J. Ren and Y. Zhou, Call center outsourcing: coordinating staffing level and service quality. Manag. Sci. 54 (2008) 369–383. [CrossRef] [Google Scholar]
  • D.J. Reyniers and C.S. Tapiero, The delivery and control of quality in supplier producer contracts. Manag. Sci. 41 (1995) 1581–1589. [CrossRef] [Google Scholar]
  • C.J. Robinson and M.K. Malhotra, Defining the concept of supply chain quality management and its relevance to academic and industrial practice. Int. J. Prod. Econ. 96 (2005) 315–337. [Google Scholar]
  • A. Rong, R. Akkerman and M. Grunow, An optimization approach for managing fresh food quality throughout the supply chain. Int. J. Prod. Econ. 131 (2011) 421–429. [Google Scholar]
  • S. Saha, Channel characteristics and coordination in three-echelon dual-channel supply chain. Int. J. Sys. Sci. 47 (2016) 740–754. [CrossRef] [Google Scholar]
  • R.W. Seifert, R.I. Zequeira and S. Liao, A three-echelon supply chain with price only contracts and sub-supply chain coordination. Int. J. Prod. Econ. 138 (2012) 345–353. [Google Scholar]
  • A.A. Taleizadeh, S. Hadadpour, L.E. Crdenas-Barrn and A.A. Shaikh, Warranty and price optimization in a competitive duopoly supply chain with parallel importation. Int. J. Prod. Econ. 185 (2017) 76–88. [Google Scholar]
  • S. Tiwari, L.E. Crdenas-Barrn, M. Goh and A.A. Shaikh, Joint pricing and inventory model for deteriorating items with expiration dates and partial backlogging under two-level partial trade credits in supply chain. Int. J. Prod. Econ. 200 (2018) 16–36. [Google Scholar]
  • S. Tiwari, C.K. Jaggi, M. Gupta and L.E. Crdenas-Barrn, 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]
  • S. Tiwari, Y. Daryanto and H.M. Wee, Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission. J. Clean. Prod. 2018 (1925) 281–292. [Google Scholar]
  • Y.K. Tse and K.H. Tan, Managing product quality risk and visibility in multi-layer supply chain. Int. J. Prod. Econ. 139 (2012) 49–57. [Google Scholar]
  • X. Wang and D. Li, A dynamic product quality evaluation based pricing model for perishable food supply chains. Omega 40 (2012) 906–917. [Google Scholar]
  • G. Xie, W. Yue, S. Wang and K.K. Lai, Quality investment and price decision in a risk-averse supply chain. Eur. J. Oper. Res. 214 (2011) 403–410. [Google Scholar]
  • J. Yu and S. Ma, Impact of decision sequence of pricing and quality investment in decentralized assembly system. J. Manuf. Sys. 32 (2013) 664–679. [CrossRef] [Google Scholar]

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