This article proposes a two-level fuzzy supply chain inventory model, in which a single consignor delivers multiple items to the multiple consignees with the consignment stock agreement. The lead time is incorporated into the model and is considered a variable for obtaining optimal replenishment decisions. In addition, crashing cost is employed to reduce the lead time duration. This article investigates four different cases under controllable lead time to analyze the best strategy, focusing on two delays such as delay-in-payments and delay-in-shipment. In all four cases, all associated inventory costs are treated as a trapezoidal fuzzy number, and a signed distance method is employed to defuzzify the fuzzy inventory cost. An efficient optimization technique is adopted to find the optimal solution for the supply chain. Four numerical experiments are conducted to illustrate the four cases. Any one of these experimental results will provide the best solution for the ideal performance of the business under controllable lead time in the consignment stock policy. Finally, the managerial insights, conclusion and future direction of this model are provided.
Accepté le :
Première publication :
Publié le :
DOI : 10.1051/ro/2021113
Keywords: Consignment stock, controllable lead time, delay in shipment, delay in payment, fuzzy cost
@article{RO_2021__55_4_2439_0,
author = {Karthick, B. and Uthayakumar, R.},
title = {A single-consignor multi-consignee multi-item model with permissible payment delay, delayed shipment and variable lead time under consignment stock policy},
journal = {RAIRO. Operations Research},
pages = {2439--2468},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
number = {4},
doi = {10.1051/ro/2021113},
mrnumber = {4303675},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2021113/}
}
TY - JOUR AU - Karthick, B. AU - Uthayakumar, R. TI - A single-consignor multi-consignee multi-item model with permissible payment delay, delayed shipment and variable lead time under consignment stock policy JO - RAIRO. Operations Research PY - 2021 SP - 2439 EP - 2468 VL - 55 IS - 4 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2021113/ DO - 10.1051/ro/2021113 LA - en ID - RO_2021__55_4_2439_0 ER -
%0 Journal Article %A Karthick, B. %A Uthayakumar, R. %T A single-consignor multi-consignee multi-item model with permissible payment delay, delayed shipment and variable lead time under consignment stock policy %J RAIRO. Operations Research %D 2021 %P 2439-2468 %V 55 %N 4 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2021113/ %R 10.1051/ro/2021113 %G en %F RO_2021__55_4_2439_0
Karthick, B.; Uthayakumar, R. A single-consignor multi-consignee multi-item model with permissible payment delay, delayed shipment and variable lead time under consignment stock policy. RAIRO. Operations Research, Tome 55 (2021) no. 4, pp. 2439-2468. doi: 10.1051/ro/2021113
[1] and , Ordering policies of deteriorating items under permissible delay in payments. J. Oper. Res. Soc. 46 (1995) 658–662. | Zbl | DOI
[2] and , On an optimal replenishment policy for inventory models for non-instantaneous deteriorating items with stock dependent demand and partial backlogging. RAIRO:OR 54 (2020) 69–79. | MR | Zbl | Numdam | DOI
[3] and , Scenario-based supply chain disruptions management framework: a quantitative approach. Innov. Supply Chain Manage. 8 (2014) 81–91. | DOI
[4] , An analytical solution to a fuzzy economic order quantity problem. Int. J. Approximate Reasoning 50 (2009) 485–493. | Zbl | 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 consignment stock of inventories under buyer’s warehouse space limitation. Int. J. Prod. Res. 58 (2020) 912–930. | DOI
[7] , and , Consignment stock policy in a closed-loop supply chain. RAIRO:OR 55 (2021) S1913–S1934. | MR | DOI
[8] , and , A buyer–vendor system with untimely delivery costs: traditional coordination vs. VMI with consignment stock. Comput. Ind. Eng. 154 (2021) 107009. | DOI
[9] , and , Proposing a delay in payment contract for coordinating a two-echelon periodic review supply chain with stochastic promotional effort dependent demand. Int. J. Mach. Learn. Cybern. 10 (2019) 1037–1050. | DOI
[10] and , Modelling on vendor-managed inventory policies with equal and unequal shipments under GHG emission-trading scheme. Int. J. Prod. Res. 57 (2019) 3362–3381. | DOI
[11] , , , and , Influence of controllable lead time, premium price, and unequal shipments under environmental effects in a supply chain management. RAIRO:OR 53 (2019) 1427–1451. | MR | Zbl | Numdam | DOI
[12] , and , An integrated multi-product, multi-buyer supply chain under penalty, green, and quality control polices and a vendor managed inventory with consignment stock agreement: the outer approximation with equality relaxation and augmented penalty algorithm. Appl. Math. Modell. 69 (2019) 223–254. | MR | DOI
[13] and , A closed-loop supply chain model with uncertain return and learning-forgetting effect in production under consignment stock policy. Oper. Res. 20 (2020) 1–29. DOI: 10.1007/s12351-020-00571-9.
[14] , and , Effectiveness of consignment stock policy in a three-level supply chain. Oper. Res. 17 (2017) 39–66.
[15] , The optimal production and shipment policy for the single-vendor single-buyer integrated production-inventory problem. Int. J. Prod. Res. 37 (1999) 2463–2475. | Zbl | DOI
[16] and , A note on “Modelling an industrial strategy for inventory management in supply chains: the ‘Consignment Stock’ case”. Int. J. Prod. Res. 47 (2009) 6469–6475. | Zbl | DOI
[17] , and , Flexible supply chain optimization with controllable lead time and shipping option. Appl. Soft Comput. 30 (2015) 26–35. | DOI
[18] 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
[19] and , Optimizing an imperfect production model with varying setup cost, price discount, and lead time under fuzzy demand. Process Integr. Optim. Sustain. 5 (2021) 13–29. | DOI
[20] and , A multi-item sustainable manufacturing model with discrete setup cost and carbon emission reduction under deterministic and trapezoidal fuzzy demand. Process Integr. Optim. Sustain. 5 (2021) 1–39. DOI: 10.1007/s41660-021-00159-6. | DOI
[21] , and , An inventory model with backorders with fuzzy parameters and decision variables. Int. J. Approximate Reasoning 51 (2010) 964–972. | MR | Zbl | DOI
[22] and , A minimax distribution free procedure for mixed inventory model involving variable lead time with fuzzy demand. Comput. Oper. Res. 29 (2002) 471–487. | Zbl | DOI
[23] , and , Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand. Opsearch 56 (2019) 91–122. | MR | DOI
[24] , An EOQ model with delay in payments and stock dependent demand in the presence of imperfect production. Appl. Math. Comput. 218 (2012) 8295–8308. | MR | Zbl
[25] and , How does advanced technology solve unreliability under supply chain management using game policy? Mathematics 8 (2020) 1191. | DOI
[26] , and , Quality improvement and backorder price discount under controllable lead time in an inventory model. J. Manuf. Syst. 35 (2015) 26–36. | DOI
[27] , , , 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
[28] , , , and , A distribution free newsvendor model with consignment policy and retailer’s royalty reduction. Int. J. Prod. Res. 56 (2018) 5025–5044. | DOI
[29] , and , A cooperative advertising collaboration policy in supply chain management under uncertain conditions. Appl. Soft Comput. 88 (2020) 105948. | DOI
[30] , , , , and , Optimal replenishment decision for retailers with variable demand for deteriorating products under a trade-credit policy. RAIRO:OR 54 (2020) 1685–1701. | MR | Numdam | DOI
[31] , and , Integrating machine learning, radio frequency identification, and consignment policy for reducing unreliability in smart supply chain management. Processes 9 (2021) 247. | DOI
[32] , and , A two-warehouse inventory model with fuzzy deterioration rate and fuzzy demand rate under conditionally permissible delay in payment. J. Ind. Prod. Eng. 33 (2016) 134–142.
[33] , , and , Optimal trade credit and replenishment policies for non-instantaneous deteriorating items. RAIRO:OR 54 (2020) 1793–1826. | MR | Numdam | DOI
[34] , , and , Controllable lead time, service level constraint, and transportation discounts in a continuous review inventory model. RAIRO:OR 50 (2016) 921–934. | MR | Zbl | Numdam | DOI
[35] and , Optimization of supply chains for single-vendor–multibuyer consignment stock policy with genetic algorithm. Int. J. Adv. Manuf. Technol. 48 (2010) 407–420. | DOI
[36] and , The consignment stock of inventories: industrial case and performance analysis. Int. J. Prod. Econ. 81 (2003) 215–224. | DOI
[37] and , An optimal consignment stock production and replenishment policy with controllable lead time. Int. J. Prod. Res. 51 (2013) 6316–6335. | DOI
[38] and , An integrated inventory model with immediate return for defective items under unequal-sized shipments. J. Ind. Prod. Eng. 34 (2017) 70–77.
[39] , and , The consignment stock case for a vendor and a buyer with delay-in-payments. Comput. Ind. Eng. 98 (2016) 333–349. | DOI
[40] and , A one-vendor multi-buyer integrated production-inventory model: the “Consignment Stock” case. Int. J. Prod. Econ. 118 (2009) 225–232. | DOI
Cité par Sources :





