Next Article in Journal
Analysis on Spatial Pattern and Driving Factors of Carbon Emission in Urban–Rural Fringe Mixed-Use Communities: Cases Study in East Asia
Next Article in Special Issue
Digital Facility Layout Planning
Previous Article in Journal
A Land Evaluation Framework for Agricultural Diversification
Previous Article in Special Issue
New Business Models for Sustainable Spare Parts Logistics: A Case Study
Open AccessArticle

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

1
Department of Electrical and Information Engineering, Polytechnic of Bari, Via Orabona 4, 70125 Bari, Italy
2
Department of Mechanics, Mathematics and Management, Polytechnic of Bari, Via Orabona 4, 70125 Bari, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(8), 3111; https://doi.org/10.3390/su12083111
Received: 25 February 2020 / Revised: 1 April 2020 / Accepted: 9 April 2020 / Published: 13 April 2020
(This article belongs to the Collection Smart Production Operations Management and Industry 4.0)
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. View Full-Text
Keywords: green warehouse; sustainable scheduling; material handling activity; mobile material handling equipment; warehouse energy management; demand-side management; battery charging; optimization; decision and control green warehouse; sustainable scheduling; material handling activity; mobile material handling equipment; warehouse energy management; demand-side management; battery charging; optimization; decision and control
Show Figures

Figure 1

MDPI and ACS Style

Carli, R.; Dotoli, M.; Digiesi, S.; Facchini, F.; Mossa, G. Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model. Sustainability 2020, 12, 3111. https://doi.org/10.3390/su12083111

AMA Style

Carli R, Dotoli M, Digiesi S, Facchini F, Mossa G. Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model. Sustainability. 2020; 12(8):3111. https://doi.org/10.3390/su12083111

Chicago/Turabian Style

Carli, Raffaele; Dotoli, Mariagrazia; Digiesi, Salvatore; Facchini, Francesco; Mossa, Giorgio. 2020. "Sustainable Scheduling of Material Handling Activities in Labor-Intensive Warehouses: A Decision and Control Model" Sustainability 12, no. 8: 3111. https://doi.org/10.3390/su12083111

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop