Integrating strategic and tactical decisions to location-allocation and green inventory planning by considering e-commerce features will pave the way for supply chain managers. Therefore, this study provides an effective framework for making decisions related to different levels of the dual-channel supply chain. We provide a bi-objective location-allocation-inventory optimization model to design a dual-channel, multi-level supply chain network. The main objectives of this study are to minimize total cost and environmental impacts while tactical and strategic decisions are integrated. Demand uncertainty is also addressed using stochastic modeling, and inventory procedure is the periodic review (S, R). We consider many features in inventory modeling that play a very important role, such as lead time, shortage, inflation, and quality of raw materials, to adapt the model to the real conditions. Since a dual-channel supply chain is becoming more important for sustainable economic development and resource recovery, we combine online and traditional sales channels to design a network. We generate five test problems and solve them by using the augmented ε-constraint method. Also, the Grasshopper optimization algorithm was applied to solve the model in a reasonable time for a large size problem. In order to provide managerial insights and investigate the sensitivity of variables and problem objectives with respect to parameters, sensitivity analysis was performed.
Keywords: Inventory-location allocation problem, dual-channel supply chain, periodic review policy, stochastic demands, augmented $$-constraint, grasshopper optimization algorithm
@article{RO_2021__55_5_3245_0,
author = {Rezaei, Aida and Shahedi, Tina and Aghsami, Amir and Jolai, Fariborz and Feili, Hamidreza},
title = {Optimizing a bi-objective location-allocation-inventory problem in a dual-channel supply chain network with stochastic demands},
journal = {RAIRO. Operations Research},
pages = {3245--3279},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
number = {5},
doi = {10.1051/ro/2021141},
mrnumber = {4334015},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2021141/}
}
TY - JOUR AU - Rezaei, Aida AU - Shahedi, Tina AU - Aghsami, Amir AU - Jolai, Fariborz AU - Feili, Hamidreza TI - Optimizing a bi-objective location-allocation-inventory problem in a dual-channel supply chain network with stochastic demands JO - RAIRO. Operations Research PY - 2021 SP - 3245 EP - 3279 VL - 55 IS - 5 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2021141/ DO - 10.1051/ro/2021141 LA - en ID - RO_2021__55_5_3245_0 ER -
%0 Journal Article %A Rezaei, Aida %A Shahedi, Tina %A Aghsami, Amir %A Jolai, Fariborz %A Feili, Hamidreza %T Optimizing a bi-objective location-allocation-inventory problem in a dual-channel supply chain network with stochastic demands %J RAIRO. Operations Research %D 2021 %P 3245-3279 %V 55 %N 5 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2021141/ %R 10.1051/ro/2021141 %G en %F RO_2021__55_5_3245_0
Rezaei, Aida; Shahedi, Tina; Aghsami, Amir; Jolai, Fariborz; Feili, Hamidreza. Optimizing a bi-objective location-allocation-inventory problem in a dual-channel supply chain network with stochastic demands. RAIRO. Operations Research, Tome 55 (2021) no. 5, pp. 3245-3279. doi: 10.1051/ro/2021141
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