Environmental impact of warehousing: a scenario analysis for the United States

Ries, J. M.; Grosse, E. H.; Fichtinger, Johannes

doi:10.1080/00207543.2016.1211342

Cited by 82 publications

(54 citation statements)

References 37 publications

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“…In the area of the environmental impact due to warehouse building, the energy performance in warehouses is mainly affected by the general building characteristics that determine the consumption due to lighting or HVAC systems [32][33][34]. Concerning the annual heating demand, three alternatives for reducing electrical energy consumption and peak demand based on rooftop solar panels, battery energy storage, and HVAC set point adjustments are compared in [35].…”

Section: Literature Reviewmentioning

confidence: 99%

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Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model

et al. 2020

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In recent years, the continuous increase of greenhouse gas emissions has led many companies to investigate the activities that have the greatest impact on the environment. Recent studies estimate that around 10% of worldwide CO2 emissions derive from logistical supply chains. The considerable amount of energy required for heating, cooling, and lighting as well as material handling equipment (MHE) in warehouses represents about 20% of the overall logistical costs. The reduction of warehouses’ energy consumption would thus lead to a significant benefit from an environmental point of view. In this context, sustainable strategies allowing the minimization of the cost of energy consumption due to MHE represent a new challenge in warehouse management. Consistent with this purpose, a two-step optimization model based on integer programming is developed in this paper to automatically identify an optimal schedule of the material handling activities of electric mobile MHEs (MMHEs) (i.e., forklifts) in labor-intensive warehouses from profit and sustainability perspectives. The resulting scheduling aims at minimizing the total cost, which is the sum of the penalty cost related to the makespan of the material handling activities and the total electricity cost of charging batteries. The approach ensures that jobs are executed in accordance with priority queuing and that the completion time of battery recharging is minimized. Realistic numerical experiments are conducted to evaluate the effects of integrating the scheduling of electric loads into the scheduling of material handling operations. The obtained results show the effectiveness of the model in identifying the optimal battery-charging schedule for a fleet of electric MMHEs from economic and environmental perspectives simultaneously.

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Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (31) calculates the time window when the charging could be executed. Constraints (32) and (33) determine the time slots when the energy is bought from the grid and used to charge the battery. Constraint (34) ensures that the number of available fully charged batteries is non-negative in each time slot.…”

Section: Second-step Optimizationmentioning

confidence: 99%

Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model

et al. 2020

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“…In particular, when it comes to investigate the source of CO 2 emissions within supply chains, warehousing operations and logistics centers have received little attention (Freis et al, 2016). Warehouses have significant amount of energy consumption due to lighting, heating, cooling and air condi-95 tioning as well as material handling equipment (Ries et al, 2017). Environmental assessment becomes particularly crucial in automated warehouses (Tappia et al, 2015).…”

Section: Meta-heuristic Reference Papersmentioning

confidence: 99%

Multi-directional local search for sustainable supply chain network design

Eskandarpour

Dejax

Péton

2019

International Journal of Production Research

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In this paper, we propose a bi-objective MILP formulation to minimize logistics costs as well as CO 2 emissions in a supply chain network design problem with multiple layers of facilities, technology levels and transportation mode decisions. The proposed model aims at investigating the trade-off between cost and CO 2 emissions through supply chain activities (i.e., raw material supply, manufacturing, warehousing, and transportation). To this end, a multi-directional local search (MDLS) metaheuristic is developed. The proposed method provides a limited set of non-dominated solutions ranging from a purely cost effective solution to a purely environmentally effective one. Each iteration of the MDLS consists in performing local searches from all non-dominated solutions. To do so, a Large Neighborhood Search (LNS) algorihtm is used. Extensive experiments based on randomly generated instances of various sizes and features are described. Three classic performance measures are used to compare the set of non-dominated solutions obtained by the MDLS algorithm and by directly solving the MILP model with the epsilon-constraint approach. This paper is concluded by managerial insights about the impact of using greener technology on the supply chain * Corresponding author. Olivier Péton, IMT Atlantique,

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“…Nevertheless, warehousing does have its own impact like any other parts of any product generating chain (buildings, inside warehouse logistics, resources usage and so on) and it also consumes energy too [6]. Negative warehouses' environmental impact is generated by energy consumption and produced emissions for lighting, heating, cooling, air conditioning and material handling [7]. Logistic buildings account for approximately 10% (300 CO₂ mega-tonnes) of logistic and transport sector activity (2,800 CO₂ mega-tonnes) which is, in turn, 5,5% of total CO₂ emissions [8].…”

Section: Introductionmentioning

confidence: 99%

Decarbonizing warehousing activities through digitalization and automatization with WMS integration for sustainability supporting operations

Minashkina

Happonen

2020

E3S Web Conf.

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The current strong outsourcing trend dictates that the efficiency of outsourced warehousing is a big contributing impact factor for the carbon footprint from supply chains. A good warehouse management system boosts warehousing eco-friendliest by reducing space waste and unnecessary number of material movements, to ensure continuous fast materials flow and to keep the heating and cooling costs to a minimum. All this may happen on some lengths inside the traditional manual warehousing scenes, but in fact, if the highest level of efficiency is wanted/needed, the operator shall need to automate, digitalize and robotize their operations. Authors presents an example of automation in the warehousing context, where the warehouse operator is capable of turning around an order line as an outgoing packet, even in high peak load times under 3h time period. This sort of efficiency means less needed storage space as items stay less time in the warehouse and such automatization also gives the 3PLs possibility to store materials in high rising automated systems like automated storage and retrieval systems to optimize their space usage. All combined, the future warehouse operations can make a positive impact on efforts to reduce overall CO₂ emissions made by supply chains.

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Environmental impact of warehousing: a scenario analysis for the United States

Abstract: This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent

Cited by 82 publications

References 37 publications

Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model

Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model

Multi-directional local search for sustainable supply chain network design

Decarbonizing warehousing activities through digitalization and automatization with WMS integration for sustainability supporting operations

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