Free Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 2, March-April 2021
Page(s) 793 - 810
DOI https://doi.org/10.1051/ro/2021033
Published online 16 April 2021
  • A. Adhitya and R. Srinivasan, Dynamic simulation and decision support for multisite specialty chemicals supply chain. Ind. Eng. Chem. Res. 49 (2010) 9917–9931. [Google Scholar]
  • J. Asl-Najafi and S. Yaghoubi, A novel perspective on closed-loop supply chain coordination: product life-cycle approach. J. Cleaner Prod. 289 (2021) 125697. [Google Scholar]
  • J. Asl-Najafi, B. Zahiri, A. Bozorgi-Amiri and A. Taheri-Moghaddam, A dynamic closed-loop location-inventory problem under disruption risk. Comput. Ind. Eng. 90 (2015) 414–428. [Google Scholar]
  • Q.G. Bai, X.H. Xu, M.Y. Chen and Q. Luo, A two-echelon supply chain coordination for deteriorating item with a multi-variable continuous demand function. Int. J. Syst. Sci.: Oper. Logistics 2 (2015) 49–62. [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]
  • Q. Bai, M. Jin and X. Xu, Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory. Int. J. Prod. Econ. 208 (2019) 83–99. [Google Scholar]
  • R. Bubbico, S. Di Cave and B. Mazzarotta, Risk analysis for road and rail transport of hazardous materials: a simplified approach. J. Loss Prev. Process Ind. 17 (2004) 477–482. [Google Scholar]
  • G.P. Cachon, Supply chain coordination with contracts. Handbooks Oper. Res. Manage. Sci. 11 (2003) 227–339. [Google Scholar]
  • D. Chakraborty, D.K. Jana and T.K. Roy, Multi-item integrated supply chain model for deteriorating items with stock dependent demand under fuzzy random and bifuzzy environments. Comput. Ind. Eng. 88 (2015) 166–180. [Google Scholar]
  • H.C. Chang, An analysis of production-inventory models with deteriorating items in a two-echelon supply chain. Appl. Math. Model. 38 (2014) 1187–1191. [Google Scholar]
  • Y. Daryanto, H.M. Wee and G.A. Widyadana, Low carbon supply chain coordination for imperfect quality deteriorating items. Mathematics 7 (2019) 234. [Google Scholar]
  • E. Erkut and V. Verter, Modeling of transport risk for hazardous materials. Oper. Res. 46 (1998) 625–642. [Google Scholar]
  • European Commission, Council Directive 82/501/EEC of 24 June 1982 on the major-accident hazards of certain industrial activities. Official J. Eur. Communities L230 (1982) 1–18. [Google Scholar]
  • European Commission, Council Directive 96/82/EC of 9 December 1996 on the control of major-accident hazards involving dangerous substances. Official J. Eur. Communities L10 (1997) 13. [Google Scholar]
  • European Commission, Directive 2003/105/EC of the European Parliament and of the Council of 16 December 2003 amending Council Directive 96/82/EC on the control of major-accident hazards involving dangerous substances. Official J. Eur. Communities L345 (2003) 97–105. [Google Scholar]
  • European Commission, European Parliament and Council Directive 2012/18/ EU of 4 July 2012 on control of major-accident hazards involving dangerous substances amending and subsequently repealing council directive 96/82/EC. Official J. Eur. Communities L197 (2012) 1–37. [Google Scholar]
  • B. Fabiano, F. Currò, A.P. Reverberi and R. Pastorino, Dangerous good transportation by road: from risk analysis to emergency planning. J. Loss Prev. Process Ind. 18 (2005) 403–413. [Google Scholar]
  • M.E. Ferguson and O. Koenigsberg, How should a firm manage deteriorating inventory? Prod. Oper. Manage. 16 (2007) 306–321. [Google Scholar]
  • Y. Gao, Z. Shang and A. Kokossis, Agent-based intelligent system development for decision support in chemical process industry. Expert Syst. App. 36 (2009) 11099–11107. [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. Kishore, A. Khanna and C.K. Jaggi, Strategic defect management for a sustainable green supply chain. J. Cleaner Prod. 233 (2019) 226–241. [Google Scholar]
  • Y. Ghiami, T. Williams and Y. Wu, A two-echelon inventory model for a deteriorating item with stock-dependent demand partial backlogging and capacity constraints. Eur. J. Oper. Res. 231 (2013) 587–597. [Google Scholar]
  • B.C. Giri and T. Maiti, Supply chain model for a deteriorating product with time-varying demand and production rate. J. Oper. Res. Soc. 63 (2012) 665–673. [Google Scholar]
  • X. Guo and M. Verma, Choosing vehicle capacity to minimize risk for transporting flammable materials. J. Loss Prev. Process Ind. 23 (2010) 220–225. [Google Scholar]
  • Y. He, S.Y. Wang and K.K. Lai, An optimal production-inventory model for deteriorating items with multiple-market demand. Eur. J. Oper. Res. 203 (2010) 593–600. [Google Scholar]
  • J. Heydari, Lead time variation control using reliable shipment equipment: an incentive scheme for supply chain coordination. Transp. Res. Part E: Logistics Transp. Rev. 63 (2014) 44–58. [Google Scholar]
  • J. Heydari and J. Asl-Najafi, Coordinating inventory decisions in a two-echelon supply chain through the target sales rebate contract. Int. J. Inventory Res. 3 (2016) 49–69. [Google Scholar]
  • J. Heydari and J. Asl-Najafi, A revised sales rebate contract with effort-dependent demand: a channel coordination approach. Int. Trans. Oper. Res. 28 (2021) 438–469. [Google Scholar]
  • M.A. Hoque, An optimal solution technique to the single-vendor multi-buyer integrated inventory supply chain by incorporating some realistic factors. Eur. J. Oper. Res. 215 (2011) 80–88. [Google Scholar]
  • P.H. Hsu, H.M. Wee and H.M. Teng, Preservation technology investment for deteriorating inventory. Int. J. Prod. Econ. 124 (2010) 388–394. [Google Scholar]
  • Y.S. Huang, W.J. Su and Z.L. Lin, A study on lead-time discount coordination for deteriorating products. Eur. J. Oper. Res. 215 (2011) 358–366. [Google Scholar]
  • H. Huang, Y. He and D. Li, Pricing and inventory decisions in the food supply chain with production disruption and controllable deterioration. J. Cleaner Prod. 180 (2018) 280–296. [Google Scholar]
  • I.A. Karimi, R. Srinivasan and P.L. Han, Unlock supply chain improvements through effective logistics. Chem. Eng. Prog. 98 (2002) 32–38. [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:OR 54 (2020) 435–450. [Google Scholar]
  • P.R. Kleindorfer and G.H. Saad, Managing disruption risks in supply chains. Prod. Oper. Manage. 14 (2005) 53–68. [Google Scholar]
  • J.M. Lanez and L. Puigjaner, Prospective and perspective review in integrated supply chain modelling for the chemical process industry. Curr. Opin. Chem. Eng. 1 (2012) 430–445. [Google Scholar]
  • Y. Li, X. Xu and F. Ye, Supply chain coordination model with controllable lead time and service level constraint. Comput. Ind. Eng. 61 (2011) 858–864. [Google Scholar]
  • C. Li, J. Ren and H. Wang, A system dynamics simulation model of chemical supply chain transportation risk management systems. Comput. Chem. Eng. 89 (2016) 71–83. [Google Scholar]
  • G.C. Lin, D.E. Kroll and C.J. Lin, Determining a common production cycle time for an economic lot scheduling problem with deteriorating items. Eur. J. Oper. Res. 173 (2006) 669–682. [Google Scholar]
  • X. Ma, J. Wang, Q. Bai and S. Wang, Optimization of a three-echelon cold chain considering freshness-keeping efforts under cap-and-trade regulation in Industry 4.0. Int. J. Prod. Econ. 220 (2020) 107457. [Google Scholar]
  • M. Malekitabar, S. Yaghoubi and M.R. Gholamian, A novel mathematical inventory model for growing-mortal items (case study: Rainbow trout). Appl. Math. Model. 71 (2019) 96–117. [Google Scholar]
  • K.F. Matta, Ordering policies for the cyclical replenishment problem given leadtime-dependent discounts. Eur. J. Oper. Res. 73 (1994) 465–471. [Google Scholar]
  • S. Nahmias, Perishable inventory theory: a review. Oper. Res. 30 (1982) 680–708. [Google Scholar]
  • M. Rahdar and A.S. Nookabadi, Coordination mechanism for a deteriorating item in a two-level supply chain system. Appl. Math. Modell. 38 (2014) 2884–2900. [Google Scholar]
  • D. Sirias and S. Mehra, Quantity discount versus lead time-dependent discount in an inter-organizational supply chain. Int. J. Prod. Res. 43 (2005) 3481–3496. [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]
  • S. Tiwari, Y. Daryanto and H.M. Wee, Sustainable inventory management with deteriorating and imperfect quality items considering carbon emission. J. Cleaner Prod. 192 (2018) 281–292. [Google Scholar]
  • G. Wei, Z.F. Yang and Y.H. Li, A statistic analysis and countermeasures on non-explosive dangerous chemial accidents in recent 3 years. Journal of Beijing Normal University (Natural Science) 41 (2005) 209–212. [Google Scholar]
  • H. Wei, J. Li and H. Wang, Analysis of total risk of hazardous materials during transportation. Chin. Saf. Sci. J. 15 (2005) 97–101. [Google Scholar]
  • Z.Z. Wu and M. Sun, Statistic analysis and countermeasure study on 200 road transportation accidents of dangerous chemicals. J. Safety Sci. Technol. 2 (2006) 3–8. [Google Scholar]
  • T. Xiao and T. Xu, Coordinating price and service level decisions for a supply chain with deteriorating item under vendor managed inventory. Int. J. Prod. Econ. 145 (2013) 743–752. [Google Scholar]
  • C. Yan, A. Banerjee and L. Yang, An integrated production–distribution model for a deteriorating inventory item. Int. J. Prod. Econ. 133 (2011) 228–232. [Google Scholar]
  • P.C. Yang and H.M. Wee, A single-vendor and multiple-buyers production–inventory policy for a deteriorating item. Eur. J. Oper. Res. 143 (2002) 570–581. [Google Scholar]
  • J. Zhang, G. Liu, Q. Zhang and Z. Bai, Coordinating a supply chain for deteriorating items with a revenue sharing and cooperative investment contract. Omega 56 (2015) 37–49. [Google Scholar]
  • P.C. Yang and H.M. Wee, An integrated multi-lot-size production inventory model for deteriorating item. Comput. Oper. Res. 30 (2003) 671–682. [Google Scholar]
  • J.H. Zhang and L.J. Zhao, Risk analysis of dangerous chemicals transportation. Syst. Eng.-Theory Pract. 27 (2007) 117–122. [Google Scholar]
  • J. Zhang, J. Hodgson and E. Erkut, Using GIS to assess the risks of hazardous materials transport in networks. European Journal of Operational Research 121 (2000) 316–329. [Google Scholar]
  • www.payamch.com. [Google Scholar]
  • www.mbkchemical.com. [Google Scholar]

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