Warehouse Optimization: Energy Efficient Layout and Design

Dérpich, Iván; Sepúlveda, Juan M.; Barraza, Rodrigo; Castro, Fernanda

doi:10.3390/math10101705

Cited by 3 publications

(5 citation statements)

References 20 publications

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“…On the basis of [5,40], the optimization equations and their restrictions are proposed to determine the greenhouse gas emissions in the port terminals studied. With the method obtained in this section and discussed in Section 4, the parameters and GHG emissions in the ports of Valparaíso, San Antonio, Arica and Valencia are calculated.…”

Section: Methodsmentioning

confidence: 99%

“…4 Valencia, (accessed on 8 August 2022) https://www.valenciaport.com/medio-ambiente/. 5 Portal Portuario, (accessed on 9 August 2022) https://portalportuario.cl/ee-uu-seaport-manatee-y-logistec-usa-dan-la-bienvenida-a-dos-nuevas-gruasmoviles-portuarias-ecoeficientes/. 6 Reporte de Sotenibilidad, Valparaiso, (accessed on 9 August 2022) https: //www.puertovalparaiso.cl/epv/site/docs/20220330/20220330171415/reporte_sostenibilidad_2016.pdf.…”

Section: Strategic Gaps Between Chilean and Spanish Portsmentioning

confidence: 99%

“…In terminals, it is necessary to optimize the planning of the design of the facilities in order to have an efficient layout that minimizes the costs of cargo movements, energy consumption of equipment, etc. [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Then, an optimization model is proposed that seeks to determine the number of containers that should be stored in the loading yard. It is worth mentioning that the formulas proposed are based on research related to the design of industrial type rectangular warehouses in Chile [5] and in other industries [40].…”

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confidence: 99%

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Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps

2022

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Ports are of great strategic importance for a country. Nowadays, compliance with environmental requirements is required, forcing the migration towards clean energies. Therefore, it is necessary for emerging ports, as those in developed countries, to incorporate in their policies the use of electric power in the machinery that moves containers in the terminals. To learn how the problem is addressed in other countries, an extensive bibliographic review is presented. Then, the energy policies and criteria of a group of ports in an emerging country and a European port are studied. Subsequently, in order to determine the gaps between the ports investigated, the layout of the cargo yard of each of the terminals is optimized; the emissions of co2 and other ghg gases are calculated; and finally, the decrease in emissions when switching from diesel to electricity is estimated. The strategic and operational gaps related to energy management between the emerging and developed countries are discussed. It is concluded that research is needed to investigate how these initiatives impact the city and improve other sustainable aspects.

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Section: Methodsmentioning

confidence: 99%

Section: Strategic Gaps Between Chilean and Spanish Portsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps

2022

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“…However, there are still some goods and orders that are difficult to pick and process efficiently due to their characteristics of multiple varieties and small batches [7,8]. The design of the storage layout and the routing strategy of the picking operation are important factors that affect the operational efficiency of the warehouse and distribution center [9,10]. Therefore, this paper will study the warehouse and distribution center from these two aspects in order to improve operational efficiency.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

et al. 2022

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The routing strategy for order picking is an important factor in the efficiency of warehouse picking, and improvements to the warehouse layout provide more routing options for picking. The number of storage locations to be visited during the picking operation also has an impact on the selection of routing strategies. In order to achieve an effective improvement in the efficiency of picking operations in warehouse distribution centers, this paper focuses on the leaf warehouse layout based on the previous single-command operation strategy and extends it to study the multi-command operation strategy, in which three heuristic routing strategies, the S-shape, the return, and the composite, are introduced to solve the walking distance problem of picking operations, with the study of the selection of the routing strategy for different numbers of storage locations to be visited. Based on the distance equation between any two storage locations to be visited in the leaf layout warehouse, travel distance models corresponding to the three routing strategies in the picking operation are constructed, and the cuckoo search algorithm is introduced to solve and calculate the travel distance of the composite strategies for the experiments. In addition, the computational experiments of the three path strategies are carried out according to the different numbers of storage locations to be visited in the picking operation. By analyzing the numerical results, we find that the composite strategy has the best overall results among the three routing strategies, with the average values of optimization rates exceeding 30% (the S-shape) and 40% (the return), respectively. At the same time, the return strategy outperforms the S-shape strategy when the number of locations to be visited is less than seven. As the number of locations to be visited increases, the S-shape strategy gradually outperforms the return strategy. From a managerial and practical perspective, compared to the single-command operation strategy that is the focus of the current research, the multi-command operation strategy we studied is more relevant to the actual situation of order merging picking in warehouses and can effectively improve the efficiency of picking operations, the competitiveness of enterprises, and customer satisfaction of e-commerce enterprises.

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A Combined Dynamic Programming and Simulation Approach to the Sizing of the Low-Level Order-Picking Area

et al. 2022

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In order to increase the efficiency of the order-picking process, warehouses are forced to find ways to adopt to constantly intensifying changes in the assortment and quantities of stored products. Accordingly, we present a methodology that deals with such a problem at a tactical level by defining the optimal size and an allocation of products within the order-picking area of the most typical order-picking setting. The methodology combined two methods, dynamic programming and simulation modelling, with the aim of taking advantages of their positive features. In that sense, the optimal allocation of products for different sizes of the order-picking zone were obtained by the dynamic programming approach. Afterwards, the influence of a demand’s seasonality and variations were treated by the simulation model, so that the more realistic performances of the system were captured for the optimal allocation of products. The methodology was tested on the retailer data with significant week seasonality. The obtained results confirmed the practical applicability of the methodology in real systems, while the sensitivity analysis of results showed that special attention and effort should be given to the determination of costs related to the engagement of order-pikers, storage equipment and unit replenishment during a planning period.

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Warehouse Optimization: Energy Efficient Layout and Design

Cited by 3 publications

References 20 publications

Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps

Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

A Combined Dynamic Programming and Simulation Approach to the Sizing of the Low-Level Order-Picking Area

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