Energy minimizing order picker forklift routing problem

Khoei, Arsham Atashi; Süral, Haldun; Tural, Mustafa Kemal

doi:10.1016/j.ejor.2022.08.038

Cited by 12 publications

(2 citation statements)

References 30 publications

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“…They created a simulation model, and their results showed the effect of inventory management on greenhouse gas emissions in warehouses is significant. As one of the first tries, Atashi Khoei et al, 2023 considered the problem of energy minimizing order picker forklift routing problem (EMFRP). They introduced a mixed integer programming modelling approach and dynamic programming to solve the small instances of the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization

Sadeghi¹,

Nikfar²,

Rad³

2024

10.5267/j.jfs

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Loading and unloading operations for Stock Keeping Units (SKUs) in warehouses are critical to logistics management systems. However, these operations also have a significant impact on the environment, particularly in terms of carbon dioxide (CO2) emissions. As such, warehouse management must consider not only operational efficiency but also environmental impact. The reduction of CO2 emissions in warehouses is becoming increasingly important, both for legal compliance and to meet sustainability targets. In this article, we will emphasize the environmental impact of warehouse operations, particularly on CO2 emissions, and explore ways to minimize them while still maximizing warehouse performance. We will review various optimization models proposed to address this issue and highlight the importance of considering environmental objectives when designing warehouse operations. We will also describe a simulation study conducted to determine the Pareto optimal frontier for a warehouse design, considering transportation, space utilization, and CO2 emissions. The outcomes of implementing this simulation's results include reduced CO2 emissions and increased space utilization, which demonstrate the potential benefits of considering environmental objectives in warehouse design and management.

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Section: Literature Reviewmentioning

confidence: 99%

“…Their model captured 88 percent of the variation of CO2 emissions (including emissions from lift trucks) (Atashi Khoei et al, 2023) Developed a mixed integer programming model and a dynamic programming for small cases. For larger cases, introduced a heuristic that combines tour construction and tour improvement.…”

Section: Tablementioning

confidence: 99%

Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization

Sadeghi¹,

Nikfar²,

Rad³

2024

10.5267/j.jfs

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Principles and Fundamentals of the PRP: Time and Distance Matrices for Algorithms in the Picker Routing Problem

Cano,

Campo,

Weyers

2024

Warehousing and Material Handling Systems for the Digital Industry

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Matheuristic approaches to the green sequencing and routing problem

Lanza,

Passacantando,

Scutellà

2023

Flex Serv Manuf J

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The paper addresses the green sequencing and routing problem, which consists in determining the best sequence of locations to visit within a warehouse for storing and/or retrieval operations, using a fleet composed of both electric vehicles, e.g., equipped with a lithium-ion battery, and conventional vehicles, i.e., with an internal combustion engine. We present a Mixed-Integer Linear Programming formulation to the problem and propose two matheuristics based on suitable decompositions of the mathematical formulation. The two matheuristics have been tested on a pool of small-medium size instances and their performance has been compared to the one of a third matheuristic, previously proposed for the case of conventional vehicles only and here suitable extended to deal with the green aspects of the problem. The performed analysis allowed one to identify the most promising matheuristic in terms of some standard computational indicators, i.e., computing time and percentage optimality gap, as well as in terms of some qualitative aspects of the solutions agreed with a reference company. Such a most promising algorithm has then been further tested to gather some technical insights on what makes the problem hard to solve, as well as to outline some managerial insights. Moreover, its performance has been tested on a pool of real instances comprising ordinary days (with a usual amount of operations to perform) and extremely busy days, showing its efficacy and efficiency also in the considered real application context.

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Energy minimizing order picker forklift routing problem

Cited by 12 publications

References 30 publications

Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization

Optimizing warehouse operations for environmental sustainability: A simulation study for reducing carbon emissions and maximizing space utilization

Principles and Fundamentals of the PRP: Time and Distance Matrices for Algorithms in the Picker Routing Problem

Matheuristic approaches to the green sequencing and routing problem

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