Remanufacturing is getting attention nowadays due to increasing waste and corresponding emissions. One of the important factors of remanufacturing is the quality of the remanufactured products. The collection and distribution of used products require proper management. Based on this situation, this study discusses a hybrid closed-loop supply chain management in cooperation with a hybrid production system. The vendor comes up with the policy of sharing remanufacturing responsibility by sharing the technology license with other supply chain players. The carbon cap restricts emissions from the entire hybrid production system of the vendor. Other factors of this proposed study are service by the retailer and quality, gift policy, and customer awareness by the vendor. This study examines the scenario under random market demand. Classical optimization provides the solution under the Stackelberg game policy where the vendor acts as leader and the retailer & third party act as followers. This paper considers two scenarios: Scenario A for a continuous distribution and Scenario B for no specific distribution. A comparison is drawn between various motivating factors-based policies to control supply chain management.
Keywords: Closed-loop supply chain management, remanufacturing, smart production, decision making, sales
@article{RO_2022__56_4_3017_0,
author = {Mondal, Ashish Kumar and Pareek, Sarla and Chaudhuri, Kripasindhu and Bera, Amit and Bachar, Raj Kumar and Sarkar, Biswajit},
title = {Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding},
journal = {RAIRO. Operations Research},
pages = {3017--3045},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {4},
doi = {10.1051/ro/2022058},
mrnumber = {4474354},
zbl = {1497.90013},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022058/}
}
TY - JOUR AU - Mondal, Ashish Kumar AU - Pareek, Sarla AU - Chaudhuri, Kripasindhu AU - Bera, Amit AU - Bachar, Raj Kumar AU - Sarkar, Biswajit TI - Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding JO - RAIRO. Operations Research PY - 2022 SP - 3017 EP - 3045 VL - 56 IS - 4 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022058/ DO - 10.1051/ro/2022058 LA - en ID - RO_2022__56_4_3017_0 ER -
%0 Journal Article %A Mondal, Ashish Kumar %A Pareek, Sarla %A Chaudhuri, Kripasindhu %A Bera, Amit %A Bachar, Raj Kumar %A Sarkar, Biswajit %T Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding %J RAIRO. Operations Research %D 2022 %P 3017-3045 %V 56 %N 4 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022058/ %R 10.1051/ro/2022058 %G en %F RO_2022__56_4_3017_0
Mondal, Ashish Kumar; Pareek, Sarla; Chaudhuri, Kripasindhu; Bera, Amit; Bachar, Raj Kumar; Sarkar, Biswajit. Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding. RAIRO. Operations Research, Tome 56 (2022) no. 4, pp. 3017-3045. doi: 10.1051/ro/2022058
[1] and , Consignment contracts with retail competition. Eur. J. Opera. Res. 215 (2011) 136–148. | Zbl | DOI
[2] , , and , A new framework for the sustainable development goals of Saudi Arabia. J. King Saud. Univ. Sci. 33 (2021) 101477. | DOI
[3] , and , Two stage closed loop supply chain models under consignment stock agreement and different procurement strategies. App. Math. Model. 65 (2019) 164–186. | MR | Zbl | DOI
[4] , and , Multi-product production system with the reduced failure rate and the optimum energy consumption under variable demand. Mathematics 7 (2019) 465. | DOI
[5] and , Modelling an industrial strategy for inventory management in supply chains: the “Consignment Stock” case. Int. J. Prod. Res. 41 (2003) 3793–3808. | Zbl | DOI
[6] , The economic production quantity (EPQ) with shortage derived algebraically. Int. J. Prod. Econ. 70 (2001) 289–292. | DOI
[7] and , Shared-savings contracts for indirect material in supply chain: channel profits and environmental impacts. Manag. Sci. 47 (2001) 881–893. | Zbl | DOI
[8] , and , Quality improvement incontives and product recall cost sharing contracts. Manag. Sci. 55 (2009) 1122–1138. | Zbl | DOI
[9] and , Effects of carbon emission reduction policies on transportation mode selections with stochastic demand. Transp. Res. Part E Logistics Transp. Rev. 90 (2016) 196–205. | DOI
[10] , , and , Intelligent servicing strategy for an online-to-offline (O2O) supply chain under demand variability and controllable lead time. RAIRO-Oper. Res. 56 (2022) 1623–1653. | MR | Zbl | Numdam | DOI
[11] , and , The optimal inventory policies under permissible delay in payments depending on the ordering quantity. Int. J. Prod. Econ. 95 (2005) 203–213. | DOI
[12] and , The distribution free newsboy problem: review and extensions. J. Oper. Res. Soc. 44 (1993) 825–834. | Zbl | DOI
[13] and , Economically independent reverse logistics of customer-centric closed-loop supply chain for herbal medicines and biofuel. J. Clean. Prod. 334 (2022) 129977. | DOI
[14] and , A consignment system where suppliers cannot verify retailer’s sales reports. Int. J. Prod. Eco. 83 (2003) 37–43. | DOI
[15] and , Economic and environmental assessment of an unreliable supply chain management. RAIRO-Oper. Res. 55 (2021) 3153–3170. | MR | Zbl | Numdam | DOI
[16] , , and , Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment. Comp. Intel. Syst. 7 (2021) 2119–2139. | DOI
[17] , , , , and , A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment. J. Clean. Prod. 278 (2021) 122403. | DOI
[18] , , , , and , A robust possibilistic flexible programming approach toward a resilient and cost-efficient biodiesel supply chain network. J. Clean. Prod. 366 (2022) 132752. | DOI
[19] , and , Integrated economic and environmental models for a multi-stage cold supply chain under carbon tax regulation. J. Clean. Prod. 166 (2017) 1357–1371. | DOI
[20] , and , Economic order quantity models for imperfect items with buy and repair options. Int. J. Prod. Eco. 155 (2014) 126–131. | DOI
[21] , , , and , Impact random defective rate on lot size focusing work-in-process inventory in manufacturing system. Int. J. Prod. Res. 55 (2017) 1748–1766. | DOI
[22] , , and , Analysis of free gift card program effectiveness. J. Retail. 87 (2011) 444–461. | DOI
[23] and , Social marketing: an approach to planned social change. J. Market. 35 (1971) 3–12. | DOI
[24] , and , Manufacturing/remanufacturing based supply chain management under advertisements and carbon emission process. RAIRO-Oper. Res. 56 (2022) 831–851. | MR | Zbl | Numdam | DOI
[25] , and , Geometric programming solution of second degree difficulty for carbon ejection controlled reliable smart production system. RAIRO-Oper. Res. 56 (2022) 1013–1029. | MR | Zbl | Numdam | DOI
[26] and , The interaction of economic ordering quantities and marketing policies. AIIE Trans. 6 (1974) 35–40. | DOI
[27] , , , , , and , Solid biofuel production from spent coffee ground wastes: Process optimisation, characterisation and kinetic studies. Fuel 292 (2021) 120309. | DOI
[28] , and , Channel strategies and stocking policies in uncapacitated and capacitated supply chains. Decis. Sci. 33 (2002) 191–222. | DOI
[29] , , , and , A continuous review production-inventory system with a variable preparation time in a fuzzy random environment. Mathematics 9 (2021) 747. | DOI
[30] and , Lot sizing decisions in product recovery management. In: Reverse Logistics. Springer (2004) 157–179. | DOI
[31] and , The distribution free newsboy problem with balking. J. Oper. Res. Soc. 46 (1995) 537–542. | Zbl | DOI
[32] and , Distribution free procedures for some inventory models. J. Oper. Res. Soc. 45 (1994) 651–658. | Zbl | DOI
[33] , and , 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. | DOI
[34] , and , Production-inventory model for perishable items under COVID-19 pandemic disruptions. In: Making Complex Decisions toward Revamping Supply Chains amid COVID-19 Outbreak, 1st Ed., CRC Press (2022) 19–41. | DOI
[35] , and , Two-echelon manufacturer-retailer supply chain strategies with price, quantity and promotional effort sensitive demand. Int. Trans. Oper. Res. 22 (2015) 1071–1095. | MR | Zbl | DOI
[36] , Partial backordering inventory model under purchase dependence. Transp. Indust. Eng. Manag. Syst. 14 (2015) 275–288.
[37] , , and , Carbon dioxide absorption in the ionic liquid 1-ethylpyridinium ethylsulfate and in its mixtures with another ionic liquid. Int. J. Greenhouse Gas Control. 18 (2013) 296–304. | DOI
[38] , Optimal lot sizing, process quality improvement and setup cost reduction. Ope. Res. 34 (1986) 137–144. | Zbl | DOI
[39] and , Economic production cycles with imperfect production processes. IIE Trans. 18 (1986) 48–55. | DOI
[40] and , A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand, Exp. Syst. App. 202 (2022) 117154. | DOI
[41] , and , Environmental and economic assessment of closed-loop supply chain with remanufacturing and returnable transport items. Comput. Indust. Eng. 111 (2017) 148–163. | DOI
[42] , , , and , A flexible biofuel and bioenergy production system with transportation disruption under a sustainable supply chain network. J. Clean. Prod. 317 (2021) 128079. | DOI
[43] , , and , Circular economy-driven two-stage supply chain management for nullifying waste. J. Clean. Prod. 339 (2022) 130513. | DOI
[44] , and , Application of the artificial neural network with multithreading within an inventory model under uncertainty and inflation. Int. J. Fuzzy Syst. (2022). DOI: . | DOI
[45] , , , and , Controlling defective items in a complex multi-phase manufacturing system. RAIRO-Oper. Res. 56 (2022) 871–889. | MR | Zbl | Numdam | DOI
[46] , and , A sustainable smart multi-type biofuel manufacturing with the optimum energy utilization under flexible production. J. Clean. Prod. 332 (2022) 129869. | DOI
[47] , and , Environmental and economic sustainability through innovative green products by remanufacturing. J. Clean. Prod. 332 (2022) 129813. | DOI
[48] and , Does doing good always lead to doing better? Consumer reactions to corporate social responsibility. J. Market. Res. 38 (2001) 225–243. | DOI
[49] , , and , Joint pricing and inventory model for deteriorating items with maximum lifetime and controllable carbon emissions under permissible delay in payments. Mathematics 9 (2021) 470. | DOI
[50] , and , Optimal production planning for a multi-product closed loop system with uncertain demand and return. Comput. Operat. Res. 38 (2011) 641–656. | MR | Zbl | DOI
[51] , , and , Impact of energy and carbon emission of a supply chain management with two-level trade-credit policy. Energies 14 (2021) 1569. | DOI
[52] , , and , An EOQ model with partial delayed payment and partial backordering. Omega 41 (2013) 354–368. | DOI
[53] , and , Optimal decisions of price, quality, effort level and return policy in a three-level closed-loop supply chain based on different game theory approaches. Eur. J. Ind. Eng. 11 (2017) 486. | DOI
[54] , and , A closed-loop supply chain considering carbon reduction, quality improvement effort, and return policy under two remanufacturing scenarios. J. Clean. Prod. 232 (2019) 1230–1250. | DOI
[55] , , and , Return policy and supply chain coordination with network-externality effect. Int. J. Prod. Res. 56 (2018) 3714–3732. | DOI
[56] , , and , Reduction of pollution through sustainable and flexible production by controlling by-products. J. Env Inform. (2022). http://www.jeionline.org/index.php?journal=mys&page=article&op=view&path%5B%5D=202200476.
[57] and , An operational policy for an integrated inventory system under consigment stock policy with controllable lead time and buyers space limitation. Comput. Oper. Res. 40 (2013) 2632–2645. | Zbl | DOI
[58] , and , EOQ model where a portion of the defectives can be used as perfect quality. Int. J. Syst. Sci. 43 (2012) 1689–1698. | MR | Zbl | DOI
Cité par Sources :





