A dynamic inventory rationing policy for business-to-consumer e-tail stores in a supply disruption context

G, Hanser S. Jimenez; Rodrigues, Tulio F.O.; Dantas, Misia M.; Cavalcante, Cristiano Alexandre Virgínio

doi:10.1016/j.cie.2020.106379

Cited by 11 publications

(6 citation statements)

References 21 publications

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“…Jahani et al (2020) studied the impact of capacity/inventory disruption on a supplier's cost, where the supplier has heterogeneous service-level agreements (SLAs) in place with multiple customers (retailers). Furthermore, a framework was developed for order fulfilment planning in e-tail stores considering frequent stock-out based on an inventory rationing model that splits the demand in a partial drop shipping system, as well as the influence of supply disruption, thus filling the gap by considering the constraints (Jimenez G et al 2020). In a dynamic supply chain network model with uncertain demand distribution function and facilities, availability is stochastic because of possible disruptions (Fattahi and Govindan 2020).…”

Section: Introductionmentioning

confidence: 99%

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

Rana

Kumar

Mor

et al. 2021

International Journal of Logistics Research and Applications

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The proposed work considers two different scenarios of a finite period complete-lockdown situation for two warehouse perishable inventory systems. The first scenario assumed the enforcement and ease of lockdown when the owned warehouse is being vacated. The latter studied the scenario using lockdown enforcement during the inventory dispatch from the owned warehouse and relieved as the items are taken from the rented warehouse. These deterministic models consider a time-dependent linear demand rate and two parameters Weibull distributed deterioration rate. The linearly increasing demand function decreases by a finite volume as the lockdown is imposed and increases suddenly whenever the lockdown is relaxed. Both of the models have been formulated to minimise the total system cost. Further, the behaviour of the models has been examined using sensitivity analysis. Considering the realistic scenarios makes the models practicable to implement in a crisis like the COVID-19 pandemic.

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Section: Introductionmentioning

confidence: 99%

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

Rana

Kumar

Mor

et al. 2021

International Journal of Logistics Research and Applications

View full text Add to dashboard Cite

show abstract

“…Future research may strengthen the integration of product assortmentrelated aspects into demand management and extend demand management levers accordingly. For example, while existing levers have been shown to effectively reserve fulfillment capacity for more valuable customers, the inventory rationing literature demonstrates a similar effect with respect to product availability by reserving inventory for high-margin customers (e.g., Jimenez G et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Demand Management for Attended Home Delivery – A Literature Review

et al. 2022

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“…A lot of methodologies and models have been developed for SC configuration in the e-commerce context [60][61][62][63][64][65][66][67][68][69][70]. Cheshmehgaz et al [71] presented a model that aimed to minimize response time and transportation cost, and facility cost, considering potential suppliers, DCs, and deterministic demand from consumers.…”

Section: Supply Chain and Network Designmentioning

confidence: 99%

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

et al. 2022

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E-commerce is always more diffused as a selling channel around the whole world market, and its importance has increased and continues to increase with the COVID-19 pandemic emergency. It provides enterprises a lot of opportunities, as the importance of physical stores to sell goods is bypassed. However, it has also changed the role of logistics in the supply chain. For this reason, this work aims to identify the main logistics research areas related to e-commerce implementation and the factors and key performance indicators, which should be taken into account for each logistics research area, with particular attention to sustainable aspects. For doing this, a structured and comprehensive literature analysis is carried out. Keywords associated with e-commerce and logistics areas are matched to identify the most interesting works related to its implementation. From the analysis, five main research areas are identified: Supply Chain Network Design (SCND); Outbound Logistics (OL); Reverse Logistics (RL); Warehousing (WR); and IT and data management (E-IT). For each area, key factors, strategies and performance indicators have been identified. Finally, a methodological framework that summarizes the results of the analysis is presented; this is a useful tool for managers to implement or expand their e-commerce business. Many works are focused on one research area, carrying out critical factors, models, and methods to implement that topic. Instead, the methodological framework presented here summarizes multiple research areas from a logistic point of view, identifying for each one input and output variables and how they influence each other.

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A dynamic inventory rationing policy for business-to-consumer e-tail stores in a supply disruption context

Cited by 11 publications

References 21 publications

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

Modelling the impact of demand disruptions on two warehouse perishable inventory policy amid COVID-19 lockdown

Demand Management for Attended Home Delivery – A Literature Review

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

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