A new supply chain network design approach, regarding retailer's inventory level and supplier's response time

Rashid, Reza; Arani, Saeed Dehnavi; Hoseini, Seyed Farzad; Omran, Mohammad Mohammadpour

doi:10.1504/ijor.2018.090423

Cited by 3 publications

(1 citation statement)

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“…The study of inventory in a supply chain places great emphasis on cutting down the inventory cost through supply chain coordination, considering inventory is traditionally a "mismatch" between demand and supply (Chopra and Meindl, 2016). Inheriting such concept, a wealth of inventory models (Dey et al, 2016;Krishnamoorthi and Choudri, 2018;Mahapatra et al, 2017;Panda, 2016;Rashid et al, 2018;Tibrewala et al, 2018) are developed to reduce inventory level by seeking the economic order quantity (EOQ).…”

Section: Introductionmentioning

confidence: 99%

Strategic Inventories in a Supply Chain with Downstream Cournot Duopoly

Jang

Hamoud

et al. 2020

IJOR

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The inventories carried in a supply chain as a strategic tool to influence the competing firms are considered to be strategic inventories (SI). We present a two-period game-theoretic supply chain model, in which a singular manufacturer supplies products to a pair of identical Cournot duopolistic retailers. We show that the SI carried by the retailers under dynamic contract is Pareto-dominating for the manufacturer, retailers, consumers, the channel, and the society as well. We also find that retailer's SI, however, can be eliminated when the manufacturer commits wholesale contract or inventory holding cost is too high. In comparing the cases with and without downstream competition, we also show that the downstream Cournot duopoly undermines the profits for the retailers, but benefits all others.

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Section: Introductionmentioning

confidence: 99%

Strategic Inventories in a Supply Chain with Downstream Cournot Duopoly

Jang

Hamoud

et al. 2020

IJOR

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An integrated queueing-inventory-routing problem in a green dual-channel supply chain considering pricing and delivery period: a case study of construction material supplier

Abbaspour

Aghsami

Jolai

et al. 2022

Journal of Computational Design and Engineering

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The current paper presented a stochastic integrated queueing-inventory- routing problem (QIRP) into a green dual-channel supply chain considering an online retailer with a vehicle routing problem (VRP) and a traditional retailing channel with an M/M/C queueing system. A mixed-integer non-linear programming model (MINLP) is presented to address the integrated VRP and M/M/C queueing system. The suggested model makes decisions about optimal routing, delivery time interval to customers, number of servers in traditional retailers, inventory replenishment policies, and retailers’ price. For the first time, this model considers two retailing channels simultaneously under different uncertainty, including demand, delivery lead time, service time, and delivery time interval to customers. The inventory model also follows a continuous-time Markov chain (CTMC). The small-scale test problems are solved using GAMS software. Since the problem is NP-Hard, this study conducts a comprehensive comparative analysis of the performance of thirteen different metaheuristics. The ant lion optimiser (ALO), Dragonfly algorithm (DA), Grasshopper optimisation algorithm (GOA), Harris-hawks optimisation (HHO), Moth-flame optimisation algorithm (MFO), Multi-Verse Optimizer (MVO), sine cosine algorithm (SCA), Salp-Swarm Algorithm (SSA), The whale optimisation algorithm (WOA), Grey-wolf optimiser (GWO), Genetic Algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO) are algorithms that were chosen for this study. Comprehensive statistical tests were conducted to evaluate the performance of these methods. Furthermore, the model is executed for construction material producers as a case study. Finally, sensitivity analyses were conducted on crucial model parameters; and managerial insights were recommended.

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