Order Picking Process in Warehouse: Case Study of Dairy Industry in Croatia

Habazin, Josip; Glasnović, Antonia; Bajor, Ivona

doi:10.7307/ptt.v29i1.2106

Cited by 25 publications

(25 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Intelligent warehouses support enterprises in fierce market competition, overcoming challenges such as demand fluctuation [26]. The normal operation of the warehouse process is the basis of logistics supply chain improvement [27]. With the rapid development of warehouse logistics, the routing optimization of AGVs is playing an important role in improving the efficiency of goods selection and customer satisfaction, thus attracting much attention.…”

Section: Discussionmentioning

confidence: 99%

A Novel Tabu Search Algorithm for Multi-AGV Routing Problem

Xing

Liu

et al. 2020

Mathematics

View full text Add to dashboard Cite

In this paper, we propose a novel tabu search (NTS) algorithm that improves the efficiencies of picking goods of automated guided vehicles (AGVs) in an automatic warehouse by solving the conflicts that happen when multiple AGVs work at the same time. Relocation and exchanging operations are designed for the neighborhood searching process based on each pickup-point’s location in the warehouse, along with the initial solution generation and the termination condition in the proposed algorithm. The experimental results show that the tabu search algorithm can effectively optimize the order of pickup points, which could further reduce the total travel distance and improve the efficiencies of AGVs in automatic warehouses.

show abstract

Section: Discussionmentioning

confidence: 99%

A Novel Tabu Search Algorithm for Multi-AGV Routing Problem

Xing

Liu

et al. 2020

Mathematics

View full text Add to dashboard Cite

show abstract

“…They created a framework and delimited decision variables, determining them to be the size and layout of the transport area, the configuration of the dock door, the shape of the pallet, and the height of the pallet warehouse. A statistical methodology was used to develop their planning guidelines [61].…”

Section: Overview Of the Area Of Storage System Designmentioning

confidence: 99%

Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems

Dobos¹,

Cservenák

Skapinyecz

et al. 2021

Sustainability

View full text Add to dashboard Cite

In real life situations, the material handling strategy of on-site storage systems is usually determined during the design of the storage system, which is no longer reviewed later. The strategy is typically determined by the person(s) designing the storage system, without the use of scientific methods, based on previous experience. Without a thorough periodic review of operational strategy, most companies’ warehousing systems have significant logistical losses (e.g., unnecessary material handling, waiting, operations), which also negatively affects the sustainability of the logistics operations. Therefore, eliminating these losses can increase both the competitiveness and the sustainability of companies. For this reason, the aim of this publication is to introduce a gap-filling test method that allows the selection of an optimal material handling strategy covering the total value stream in a demand-driven storage environment, using the opportunities offered by the Industry 4.0 concept, in particular in the field of big data analysis. This integrated approach has so far not emerged in the study of warehouse material handling strategies. Beyond the obvious economic benefits, the application of this method can clearly help companies to achieve a higher level of sustainability in their logistics operations, as it allows storage systems to operate more efficiently while minimizing material handling losses, ultimately resulting in a lesser demand for energy and raw materials. Moreover, this can also result in a reduction in the human and machine resources required to perform the tasks.

show abstract

“…It permits the warehouse to prepare to schedule inbound operations, so there are no uncoordinated events. With the arrival, unloading begins after which units are put away with accurate documenting before [7].…”

Section: Literature Reviewmentioning

confidence: 99%

A Proposed Framework to Improve Containerization from Asia to North America

Ortega-Diaz¹,

Sánchez‐Partida²,

Cano‐Olivos³

2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

The constant market change and the critical role of the logistics process in the supply chain need to have special attention because it is an essential piece for the global business strategy. This paper presents an assessment of the processes of handling material from Asia suppliers to North America. The data utilized for the analysis is of 12 months of 2019, valuable input to support the proposal to the company to approve the changes to get a financial gain. The proposal aims to create a complete analysis starting on how the containers are loaded currently in Asia (floor loaded) and the complexity that this strategy creates for the whole supply chain. The analysis of the overall process aims how the proposed change (pallet loaded) will reduce demurrage cost annually (USD 147,000), lead time (from 6 days to 3 days), space utilization in the facility (reduce space by 6364 sqrt/ft), reduce operational cost annually (USD 210,000), improve safety (Risk factor savings annually of USD 61,100), and on-time delivery to the customer (Increase 4% ).

show abstract

Order Picking Process in Warehouse: Case Study of Dairy Industry in Croatia

Abstract: ABSTRACT

Cited by 25 publications

References 7 publications

A Novel Tabu Search Algorithm for Multi-AGV Routing Problem

A Novel Tabu Search Algorithm for Multi-AGV Routing Problem

Development of an Industry 4.0-Based Analytical Method for the Value Stream Centered Optimization of Demand-Driven Warehousing Systems

A Proposed Framework to Improve Containerization from Asia to North America

Contact Info

Product

Resources

About