With the effect of increasing production rate, the probability of shifting the manufacturing process from “in-control” state to “out-of-control” increases with the passage of time. This happens due to the degradation of the mechanism which results in production of defective items. This study helps in examining the effect of changed production rate on the quality of goods produced. This research further examines the influence of manufacturing rate on “mean time to failure (MTTF)”. This increased production rate is not always environmental friendly due to the emission of contaminated gases after production process. The idea of making a specific investment initiation is incorporated in this paper to attain a sustainable environment development. Also, the information exchange is assumed in the supply chain system to achieve a better profitability. The mathematical model thus created and is validated with enough data, numerical experimentation, and graphical representation. The study concluded that higher degree of quality function reduces the MTTF of machine, also setup and environmental investment has highest impact on the total cost.
Keywords: Supply chain management, variable production cost, quality management, controllable lead time, single-setup, multi-delivery policy, sustainability
@article{RO_2021__55_S1_S2773_0,
author = {Nandra, Richa and Majumder, Arunava and Mishra, Mowmita},
title = {A multi-retailer sustainable supply chain model with information sharing and quality deterioration},
journal = {RAIRO. Operations Research},
pages = {S2773--S2794},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2020113},
mrnumber = {4223170},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2020113/}
}
TY - JOUR AU - Nandra, Richa AU - Majumder, Arunava AU - Mishra, Mowmita TI - A multi-retailer sustainable supply chain model with information sharing and quality deterioration JO - RAIRO. Operations Research PY - 2021 SP - S2773 EP - S2794 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2020113/ DO - 10.1051/ro/2020113 LA - en ID - RO_2021__55_S1_S2773_0 ER -
%0 Journal Article %A Nandra, Richa %A Majumder, Arunava %A Mishra, Mowmita %T A multi-retailer sustainable supply chain model with information sharing and quality deterioration %J RAIRO. Operations Research %D 2021 %P S2773-S2794 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2020113/ %R 10.1051/ro/2020113 %G en %F RO_2021__55_S1_S2773_0
Nandra, Richa; Majumder, Arunava; Mishra, Mowmita. A multi-retailer sustainable supply chain model with information sharing and quality deterioration. RAIRO. Operations Research, Tome 55 (2021), pp. S2773-S2794. doi: 10.1051/ro/2020113
[1] and , A comparative literature analysis of definitions for green and sustainable supply chain management. J. Cleaner Prod. 52 (2013) 329–341. | DOI
[2] , A joint economic-lot-size model for purchaser and vendor. Decis. Sci. 17 (1986) 292–311. | DOI
[3] and , Coordinated order less inventory replenishment for a vendor and multiple buyers. Int. J. Technol. Manage. 7 (1992) 328–336.
[4] and , Coordinated vs. independent inventory replenishment policies for a vendor and multiple buyers. Int. J. Prod. Econ. 35 (1994) 215–222. | DOI
[5] , and , A sustainable EOQ model: theoretical formulation and applications. Int. J. Prod. Econ. 149 (2014) 145–153. | DOI
[6] and , Inventory models involving lead time as a decision variable. J. Oper. Res. Soc. 45 (1994) 579–582. | Zbl | DOI
[7] , , and , Including sustainability criteria into inventory models. Eur. J. Oper. Res. 222 (2012) 229–240. | MR | Zbl | DOI
[8] , and , Celebrating a century of the economic order quantity model in honour of Ford Whitman Harris. Int. J. Prod. Econ. 155 (2014) 1–7. | DOI
[9] and , Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems. Reliab. Eng. Syst. Saf. 204 (2020) 107–146. | DOI
[10] , An integrated production-inventory deteriorating model for pricing policy considering imperfect production, inspection planning and warranty-period-and stock-level-dependent demand. Int. J. Syst. Sci. 39 (2008) 823–837. | MR | Zbl | DOI
[11] and , The drilling problem: a stochastic modeling and control example in manufacturing. IEEE Trans. Autom. Control 32 (1987) 947–958. | MR | Zbl | DOI
[12] , and , A two-echelon supply chain management with setup time and cost reduction, quality improvement and variable production rate. Mathematics 7 (2019) 328. | DOI
[13] , , and , An integrated inventory model involving discrete setup cost reduction, variable safety factor, selling-price dependent demand, and investment. RAIRO:OR 53 (2019) 39–57. | MR | Numdam | Zbl | DOI
[14] , , and , Autonomation policy to control work-in-process inventory in a smart production system. Int. J. Prod. Res. (2020). Doi: . | DOI
[15] , , and , Newdevelopments in stochastic models of manufacturing and service operations incentives for quality improvement efforts coordination in supply chains with partial cost allocation contract. Int. J. Prod. Res. 54 (2016) 6216–6231. | DOI
[16] , An integrated inventory model for a single supplier-single customer problem. Int. J. Prod. Res. 15 (1976) 107–111. | DOI
[17] , A joint economic-lot-size model for purchaser and vendor: a comment. Decis. Sci. 19 (1988) 236–241. | DOI
[18] and , A framework for clarifying the meaning of triple bottom-line, integrated, and sustainability assessment. Environ. Impact Assess. Rev. 28 (2008) 73–89. | DOI
[19] and , Review of combined approaches and multi-criteria analysis for corporate environmental evaluation. J. Cleaner Prod. 39 (2013) 355–371. | DOI
[20] , , and , An integrated inventory model involving manufacturing setup cost reduction in compound Poisson process. Int. J. Prod. Res. 49 (2011) 1219–1240. | Zbl | DOI
[21] and , Single-vendor multi-buyer integrated production-inventory model with controllable lead time and service level constraints. Appl. Math. Model. 37 (2013) 1753–1767. | MR | DOI
[22] , and , Information sharing in a sustainable supply chain. Int. J. Prod. Econ. 181 (A) (2016) 201–214.
[23] and , Economic production lot size model with variable production rate and imperfect quality. J. Oper. Res. Soc. 45 (1994) 1405–1417. | Zbl | DOI
[24] and , An analytical determination of lead time with normal demand. Int. J. Oper. Prod. Manage. 11 (1991) 72–78. | DOI
[25] , and , Sustainable supply chains: an introduction. J. Oper. Manage. 25 (2007) 1075–1082. | DOI
[26] , A one-vendor multi-buyer integrated inventory model. Eur. J. Oper. Res. 81 (1995) 312–323. | Zbl | DOI
[27] , and , Manufacturing quality improvement and setup cost reduction in a vendor-buyer supply chain model. Eur. J. Ind. Eng. 11 (2017) 588–612. | DOI
[28] , and , A multi-retailer supply chain model with backorder and variable production cost. RAIRO:OR 52 (2018) 943–954. | MR | Numdam | Zbl | DOI
[29] , and , A decision analysis view on the effect of robot repeatability on profit. IIE Trans. 27 (1995) 60–71. | DOI
[30] and , Evaluating the effect of speed and payload on robot repeatability. Rob. Comput.-Integr. Manuf. 8 (1991) 27–33. | DOI
[31] and , Quality improvement, setup cost and lead-time reductions in lot size reorder point models with an imperfect production process. Comput. Oper. Res. 29 (2002) 1701–1717. | Zbl | DOI
[32] , and , Mixture inventory model with backorders and lost sales for variable lead time. J. Oper. Res. Soc. 47 (1996) 829–832. | Zbl | DOI
[33] , and , Integrated vendor-buyer cooperative models with stochastic demand in controllable lead time. Int. J. Prod. Econ. 92 (2004) 255–266. | DOI
[34] and , A study of an integrated inventory with controllable lead time. Int. J. Prod. Res. 40 (2002) 1263–1273. | Zbl | DOI
[35] , Optimal lot sizing, process quality improvement and setup cost reduction. Oper. Res. 34 (1986) 137–144. | Zbl | DOI
[36] and , Economic production cycles with imperfect productions processes. IIE Trans. 18 (1986) 48–54. | DOI
[37] , A production-inventory model of imperfect quality products in a three-layer supply chain. Decis. Support Syst. 50 (2011) 539–547. | DOI
[38] , Supply chain coordination with variable backorder, inspections, and discount policy for fixed lifetime products. Math. Prod. Eng. 14 6318737 (2016) 1–20. | MR
[39] and , Integrated vendor-buyer supply chain model with vendor’s setup cost reduction. Appl. Math. Comput. 224 (2013) 362–371. | MR
[40] , and , Optimal reliability, production lot size and safety stock in an imperfect production system. Int. J. Math. Oper. Res. 2 (2010) 467–490. | MR | Zbl | DOI
[41] , , , and , 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. | DOI
[42] , and , A cooperative advertising collaboration policy in supply chain management under uncertain conditions. Appl. Soft Comput. 88 (2020) 105984. | DOI
[43] and , Optimal ordering policy in a two-echelon supply chain model with variable backorder and demand uncertainty. RAIRO:OR (2020). Doi: . | DOI | MR | Numdam
[44] , and , A vendor-buyer inventory model with lot-size and production rate dependent lead time under time value of money. RAIRO:OR 54 (2020) 961–979. | MR | Numdam | DOI
[45] , and , Coordination of a single-manufacturer/multi-buyer supply chain with credit option. Int. J. Prod. Econ. 111 (2008) 676–685. | DOI
[46] , and , Bridging sustainability and corporate social responsibility: culture of monitoring and evaluation of CSR initiatives in India. Sustainability: Sci. Pract. Policy 10 (2018) 2353. | DOI
[47] , and , Joint production control and maintenance policy for a serial system with quality deterioration and stochastic demand. Reliab. Eng. Syst. Safety (2020) 106918. | DOI
[48] , and , An integrated inventory model for a single vendor and multiple buyers with ordering cost reduction. Int. J. Prod. Econ. 73 (2001) 203–215. | DOI
Cité par Sources :
