An electric forklift routing problem with battery charging and energy penalty constraints

Lee, Seokgi; Jeon, Hyun Woo; Issabakhsh, Mona; Ebrahimi, Ahmad

doi:10.1007/s10845-021-01763-6

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…The problem was managed as a resource allocation problem and solved using a linear programming model. A different approach, based on both the optimisation of the travel distance and the battery charging time was adopted by Lee et al (2022), who formulated a dynamic control algorithm for the electric forklift routing problem with battery charging. In this research, both the operational performance of the electric forklift (i.e.…”

Section: Operational Practicesmentioning

confidence: 99%

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Perotti,

Colicchia

2023

IJLM

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PurposeThe purpose of this paper is to propose a framework of green strategies as a combination of energy-efficiency measures and solutions towards environmental impact reduction for improving environmental sustainability at logistics sites. Such measures are examined by discussing the related impacts, motivations and barriers that could influence the measures' adoption. Starting from the framework, directions for future research in this field are outlined.Design/methodology/approachThe proposed framework was developed starting from a systematic literature review (SLR) approach on 60 papers published from 2008 to 2022 in international peer-reviewed journals or conference proceedings.FindingsThe framework identifies six main areas of intervention (“green strategies”) towards green warehousing, namely Building, Utilities, Lighting, Material Handling and Automation, Materials and Operational Practices. For each strategy, specific energy-efficiency measures and solutions towards environmental impact reduction are further pinpointed. In most cases, “green-gold” measures emerge as the most appealing, entailing environmental and economic benefits at the same time. Finally, for each measure the relationship with the measures' primary impacts is discussed.Originality/valueFrom an academic viewpoint, the framework fills a major gap in the scientific literature since, for the first time, this study elaborates the concept of green warehousing as a result of energy-efficiency measures and solutions towards environmental impact reduction. A classification of the main areas of intervention (“green strategies”) is proposed by adopting a holistic approach. From a managerial perspective, the paper addresses a compelling need of practitioners – e.g. logistics service providers (LSPs), manufacturers and retailers – for practices and solutions towards greener warehousing processes to increase energy efficiency and decrease the environmental impact of the practitioners' logistics facilities. In this sense, the proposed framework can provide valuable support for logistics managers that are about to approach the challenge of turning the managers' warehouses into greener nodes of the managers' supply chains.

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Section: Operational Practicesmentioning

confidence: 99%

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Perotti,

Colicchia

2023

IJLM

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“…For low-level pickings, order pickers pick items from storage racks and bins while picking items from high storage racks for high-level pickings [6]. Since forklifts are typically used for order-picking activities, studies of forklifts will play a key role in EC and OT analysis in a warehouse forward area [17]. In addition, more than 60% of forklifts are powered by electricity, and therefore, the research focus needs to be on electric forklifts rather than on propane or diesel forklifts [9].…”

Section: Literature Reviewmentioning

confidence: 99%

A Simulation-Based Experimental Design for Analyzing Energy Consumption and Order Tardiness in Warehousing Systems

Jeon,

Ebrahimi,

Lee

2023

Sustainability

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For warehouses to be more sustainable and cost-effective, it is essential to consider energy consumption (EC) and order tardiness (OT) together in evaluating warehouse activities since improving both EC and OT at the same time is very demanding. While existing studies try to improve EC and OT, the current studies consider only either a reserve area or a forward area between the two major warehouse areas. Thus, this study proposes a simulation-based approach to assessing EC and OT when reserve and forward areas are considered together in one framework for different configurations of five important warehousing parameters: (i) number of forklifts, (ii) number of storage/retrieval (S/R) machines, (iii) number of automated storage/retrieval systems (AS/RS) input/output (I/O) points, (iv) order size, and (v) proportions of order flows through a reserve or forward area. In particular, we use real forklift movement and energy data for our simulation models to provide a more realistic analysis. By building the simulation model with the 25 full factorial experimental design, we analyze the results with analysis of variance (ANOVA). The resulting Pareto-optimal solutions show that less traffic flows through a reserve area can help improve both EC and OT while other factors have smaller or limited effects on the two responses. Also, the order flow factor has the largest effect on EC while order size has the largest effect on OT. The results from this study can help warehouse operators make informed decisions in considering and finding a trade-off between sustainability and customer satisfaction.

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“…However, they excluded the possibility of picking up the requested item on the second pass (if there is any) and overlooked the direction of travel in the construction of a complete picking tour which can lead to sub-optimal solutions. Lee et al [57] developed an integrated dynamic algorithm as a solution to the electric forklift routing problem w.r.t battery charging constraints. That is, the algorithm considers the electric forklift's picking/putaway routes and battery charging schedules along with the number of electric forklifts.…”

Section: ) Energy Efficient Routing For Order Pickingmentioning

confidence: 99%

Energy Efficient Order Picking Routing for a Pick Support Automated Guided Vehicle (Ps-AGV)

et al. 2022

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An electric forklift routing problem with battery charging and energy penalty constraints

Cited by 6 publications

References 21 publications

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

Greening warehouses through energy efficiency and environmental impact reduction: a conceptual framework based on a systematic literature review

A Simulation-Based Experimental Design for Analyzing Energy Consumption and Order Tardiness in Warehousing Systems

Energy Efficient Order Picking Routing for a Pick Support Automated Guided Vehicle (Ps-AGV)

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