Using drones in a warehouse with minimum energy consumption

Dérpich, Iván; Miranda, Dante; Sepúlveda, Juan M.

doi:10.1109/icccc.2018.8390444

Cited by 11 publications

(12 citation statements)

References 6 publications

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Section: Resultsmentioning

confidence: 99%

“…With the use of drones, warehouse images can be captured in real-time and misplaced items could be flagged at a faster rate. Drones in warehouses are a relatively recent topic in the literature (see., Derpich et al, 2018;Fernandez-Carames et al, 2019;Shen et al, 2020;Maghazei et al, 2021). Large global retailers, such as IKEA [1], have only recently started testing the use of drones for improving their warehouse operations (see, Stonor, 2020).…”

Section: Retail Levelmentioning

confidence: 99%

See 1 more Smart Citation

Inventory management practices at a big-box retailer: a case study

Esrar

Zolfagharinia

2022

BIJ

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PurposeManaging inventory continues to be a growing area of concern for many retailers due to the multitude of issues that arise from either an excess or shortage of inventory. This study aims to understand how a large-scale retail chain can improve its handling of excess seasonal inventory using three common strategies: information sharing, visibility, and collaboration.Design/methodology/approachThis study has been designed utilizing a case study method focusing on one retail chain at three key levels: strategic (head office), warehouses, and retail stores. The data have been collected by conducting semi-structured interviews with senior-level employees at each of the three levels and employing a thematic analysis to examine the major themes.FindingsThe results show how three common strategies are being practiced by this retailer and how utilizing these strategies aids the retailer in improving its performance in regard to seasonal inventory. Among our research findings, some challenges were discovered in implementing the strategies, most notably: human errors, advanced forecasting deficiencies, and the handling of return merchandise authorizations.Originality/valueThis research takes a case study approach and focuses on one big-box retailer. The authors chose to study three levels (head office, warehouses, and retail stores) to gain a deeper understanding of the functions and processes of each level, and to understand the working relationships between them. Through the collection of primary data in a Canadian context, this study contributes to the literature by investigating supply chain strategies for managing inventory. The Canadian context is especially interesting due to the multi-cultural demographics of the country.

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Section: Resultsmentioning

confidence: 99%

Section: Retail Levelmentioning

confidence: 99%

Inventory management practices at a big-box retailer: a case study

Esrar

Zolfagharinia

2022

BIJ

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“…The utilization of drones for deliveries has been previously investigated, revealing their potential to decrease transportation costs and reduce delivery times [9]. Moreover, drones contribute to sustainable processes by lowering CO 2 emissions [3].…”

Section: Literature Reviewmentioning

confidence: 99%

Drone Optimization in Factory: Exploring the Minimal Level Vehicle Routing Problem for Efficient Material Distribution

Dérpich

Rey

2023

Drones

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The efficient movement of raw materials within organizations is fundamental to maintaining the seamless progression of production processes. However, these logistical operations can inadvertently compromise overall company efficiency, primarily due to the substantial time invested in transporting materials. This paper introduces an innovative mathematical model specifically designed to optimize the transport of raw materials via drones across multiple workstations. This model employs a novel modification of the traditional multi-level Vehicle Routing Problem by incorporating an additional index and accounting for the drone’s energy consumption. We employ a widely-recognized solver for practical resolution and compare it with a heuristic algorithm. The resultant strategies offer promising prospects for the organization studied, introducing robust solutions for elevating the efficiency of raw material transportation.

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“…Adwibowo (2021), through a comprehensive analysis, proved that in remote areas using drones to transport COVID-19 vaccines is a feasible option. Other noteworthy articles that focus on this field can be found in several other journals (Carlsson and Song, 2018;Derpich et al, 2018;Oruc and Kara, 2018;Li et al, 2020). All these studies assumed that a fleet of drones is already available for use, and for this reason, no studies, heretofore, have focused on formulating a method to select the best drone for a unique scenario based on the drone's characteristics for medical supplies delivery applications.…”

Section: Drones In the Healthcare Supply Chainmentioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

A decision support model for selecting unmanned aerial vehicle for medical supplies: context of COVID-19 pandemic

Banik

Hossain

Govindan

et al. 2022

IJLM

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PurposeIn recent times, due to rapid urbanization and the expansion of the E-commerce industry, drone delivery has become a point of interest for many researchers and industry practitioners. Several factors are directly or indirectly responsible for adopting drone delivery, such as customer expectations, delivery urgency and flexibility to name a few. As the traditional mode of delivery has some potential drawbacks to deliver medical supplies in both rural and urban settings, unmanned aerial vehicles can be considered as an alternative to overcome the difficulties. For this reason, drones are incorporated in the healthcare supply chain to transport lifesaving essential medicine or blood within a very short time. However, since there are numerous types of drones with varying characteristics such as flight distance, payload-carrying capacity, battery power, etc., selecting an optimal drone for a particular scenario becomes a major challenge for the decision-makers. To fill this void, a decision support model has been developed to select an optimal drone for two specific scenarios related to medical supplies delivery.Design/methodology/approachThe authors proposed a methodology that incorporates graph theory and matrix approach (GTMA) to select an optimal drone for two specific scenarios related to medical supplies delivery at (1) urban areas and (2) rural/remote areas based on a set of criteria and sub-criteria critical for successful drone implementation.FindingsThe findings of this study indicate that drones equipped with payload handling capacity and package handling flexibility get more preference in urban region scenarios. In contrast, drones with longer flight distances are prioritized most often for disaster case scenarios where the road communication system is either destroyed or inaccessible.Research limitations/implicationsThe methodology formulated in this paper has implications in both academic and industrial settings. This study addresses critical gaps in the existing literature by formulating a mathematical model to find the most suitable drone for a specific scenario based on its criteria and sub-criteria rather than considering a fleet of drones is always at one's disposal.Practical implicationsThis research will serve as a guideline for the practitioners to select the optimal drone in different scenarios related to medical supplies delivery.Social implicationsThe proposed methodology incorporates GTMA to assist decision-makers in order to appropriately choose a particular drone based on its characteristics crucial for that scenario.Originality/valueThis research will serve as a guideline for the practitioners to select the optimal drone in different scenarios related to medical supplies delivery.

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Using drones in a warehouse with minimum energy consumption

Cited by 11 publications

References 6 publications

Inventory management practices at a big-box retailer: a case study

Inventory management practices at a big-box retailer: a case study

Drone Optimization in Factory: Exploring the Minimal Level Vehicle Routing Problem for Efficient Material Distribution

A decision support model for selecting unmanned aerial vehicle for medical supplies: context of COVID-19 pandemic

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