Network inventory deployment for responsive fulfillment

Kim, Nayeon; Montreuil, Benoît; Klibi, Walid; Babaï, Mohamed Zied

doi:10.1016/j.ijpe.2022.108664

Cited by 5 publications

(3 citation statements)

References 52 publications

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“…Stringent demands for speed, such as delivery within an hour, require physical availability of stock close to the point of demand. This necessitates a wide and dense network of stocks and a sound stock location model [2].…”

Section: Introductionmentioning

confidence: 99%

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Digital transformation of logistics centres: bibliometric analysis

Golubtsov

Kozhakhmetova

Akhmetkaliyeva

2023

jour

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With the rise of the digital economy, a new sort of logistics, known as e-logistics, has emerged as a “must-have” in the worldwide logistics business. That is why this topic becomes so relevant among scholars and the industrial field. The idea of the research is based on the analysis of the literature on transformation of logistics centres. The goal of this study is to quantitative assessment of the current literature on the topic of digital logistics centres by identifying the most relevant areas and a gap in the literature. The research methodology is based on bibliometric analysis using the articles in the Scopus database. Generally, 127 scientific papers from 2019–2023 were analyzed through VOSviewer. Research results show that after the Covid-19 pandemic a large number of technological digital solutions emerged and the pandemic served as a spur to the active use of digital technology by various organizations. The most productive countries were the United Kingdom, the United States, China, Germany and Italy. The study evaluated the following parameters: top publishing countries, most cited authors, widely studied fields, research clusters, etc. The results of the study showed that the most studied areas are digital transformation, Industry 4.0 and supply chain management, while the digital transformation of logistics centers and the application of practical tools have not yet been fully explored. The findings and propositions of the study can contribute to the digital development of local logistics centers and expand the literature in this area.

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Section: Introductionmentioning

confidence: 99%

“…*e-mail: daniil.golubtsov95@gmail.com ORCID ID: 0000-0001-5964-5047 А.к. кОЖАХМЕТОВА, 2 PhD, ст. преподаватель.…”

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Digital transformation of logistics centres: bibliometric analysis

Golubtsov

Kozhakhmetova

Akhmetkaliyeva

2023

jour

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“…This is of paramount importance as both responsiveness and inventory policies significantly impact overall supply chain performance (Cannella et al, 2018). Thus, assessing the effectiveness of safety stock levels in meeting demand becomes crucial for determining responsiveness (Chopra and Meindl, 2015), given the close relationship between inventory management and responsiveness (Kim et al, 2023). Inadequate responsiveness in gasoline supply can indicate insufficient inventory to meet demand, leading to potential economic disruptions.…”

Section: Introductionmentioning

confidence: 99%

Gasoline Policy Simulation to Increase Responsiveness Using System Dynamics: A Case Study of Indonesia’s Gasoline Downstream Supply Chain

Mardiana

2023

IJEEP

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In the supply chain, inventory planning plays a crucial role in achieving a balance between supply and demand. This study aims to investigate a supply chain policy that can achieve an impressive level of responsiveness, reaching close to 100%. Additionally, by focusing on the supply chain of RON 92 gasoline in Indonesia, the research aims to identify the key factors influencing responsiveness instability. To achieve these objectives, a simulation model was used to analyze the inventory policy, considering various factors such as demand, production, safety stock coverage, transportation delays, production capacity, and importation due to insufficient production capacity. The results showed that forecasting accuracy is the main determinant of the responsiveness rate. Moreover, maintaining a minimum inventory level of 28 days yielded an impressive 99% responsiveness rate, provided that the deviation in demand does not exceed 5% of the forecast. The analytical tool used in the system dynamics framework was a simulation, which significantly contributed to the research findings. However, it is important to note that this research has limitations, specifically in its inability to analyze crude oil supply. Therefore, further research is necessary to thoroughly examine this aspect and gain a more comprehensive understanding of the overall supply chain dynamics.

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