Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach

Ali, Sadia Samar; Kaur, Rajbir

doi:10.3390/math10081252

Cited by 12 publications

(10 citation statements)

References 68 publications

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“…National and international regulations focus on sustainable operations, energy-efficient processes and low carbon-footprint generation. These objectives could be met by adopting an energy-efficient drone (Awa et al , 2017) that could reduce unnecessary logistics and enhance resource efficiency (Ali and Kaur, 2022). Top management also navigates through all the legal and bureaucratic hurdles for Drone technology inceptions, as these investment-heavy entities are prone to government regulations and zone and area restrictions.…”

Section: Discussionmentioning

confidence: 99%

“…Green's method was used to ensure that the sample size was adequate (Green 1991). This method requires at least 122 (N > 50 + 8(K) = N > 50 + 8 (9); K is the number of predictor variable) respondents for the further analysis (Ali and Kaur, 2022).…”

Section: Methodsmentioning

confidence: 99%

“…Drones are also used to perform inspection tasks in hazardous sites such as those in the oil and gas industry (Rathlev et al , 2012). Due to the growth of warehouse operations, inspection, surveillance and surveying (Silvagni et al , 2016; Ali and Kaur, 2022) have become expensive and complicated. These tasks often need skilled inspectors (Ali et al , 2019), and there could be disruptions in the ongoing operations.…”

Section: Literature Reviewmentioning

confidence: 99%

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Utilisation of drones in achieving various applications in smart warehouse management

Ali

Khan

Fatma

et al. 2023

BIJ

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PurposeOrganisations and industries are often looking for technologies that can accomplish multiple tasks, providing economic benefits and an edge over their competitors. In this context, drones have the potential to change many industries by making operations more efficient, safer and more economic. Therefore, this study investigates the use of drones as the next step in smart/digital warehouse management to determine their socio-economic benefits.Design/methodology/approachThe study identifies various enablers impacting drone applications to improve inventory management, intra-logistics, inspections and surveillance in smart warehouses through a literature review, a test of concordance and the fuzzy Delphi method. Further, the graph theory matrix approach (GTMA) method was applied to ranking the enablers of drone application in smart/digital warehouses. In the subsequent phase, researchers investigated the relation between the drone application's performance and the enablers of drone adoption using logistic regression analysis under the TOE framework.FindingsThis study identifies inventory man agement, intra-logistics, inspections and surveillance are three major applications of drones in the smart warehousing. Further, nine enablers are identified for the adoption of drone in warehouse management. The findings suggest that operational effectiveness, compatibility of drone integration and quality/value offered are the most impactful enablers of drone adoption in warehouses. The logistic regression findings are useful for warehouse managers who are planning to adopt drones in a warehouse for efficient operations.Research limitations/implicationsThis study identifies the enablers of drone adoption in the smart and digital warehouse through the literature review and fuzzy Delphi. Therefore, some enablers may be overlooked during the identification process. In addition to this, the analysis is based on the opinion of the expert which might be influenced by their field of expertise.Practical implicationsBy considering technology-organisation-environment (TOE) framework warehousing companies identify the opportunities and challenges associated with using drones in a smart warehouse and develop strategies to integrate drones into their operations effectively.Originality/valueThis study proposes a TOE-based framework for the adoption of drones in warehouse management to improve the three prominent warehouse functions inventory management, intra-logistics, inspections and surveillance using the mixed-method.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Utilisation of drones in achieving various applications in smart warehouse management

Ali

Khan

Fatma

et al. 2023

BIJ

Self Cite

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“…In this context, Industry 4.0 (I4.0) is known as the fourth industrial revolution, which is the ongoing automation and mechanization of traditional manufacturing processes (Hofmann and Rüsch, 2017; Karnik et al , 2022). It has been reported that Saudi Arabia is still in its infancy in terms of industrialization (Ali and Kaur, 2022), but the market is ready for pioneers to lead the way in the field of I4.0 (Invest Saudi Portal, 2020).…”

Section: Introductionmentioning

confidence: 99%

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Alnounou

Asiri²,

Alhindi³

et al. 2022

BIJ

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PurposeSaudi Arabia's 2030 vision targets an increase of 34% in non-oil revenue participation in the GDP, thus the need for automation and digital transformation. The Company ER is a market leader producing high-quality dairy products in the Kingdom and is a pioneer in the production industry. The company has recently increased the capacity of its milk factory to meet its vision. An investment was made to automate the pallet handling procedures at the milk factory to provide increased production for daily consumption. The new automation transition in Company ER's milk factory provides a unique opportunity to utilize lean management tools to improve the current automated processes before commercialization.Design/methodology/approachOEE (overall equipment effectiveness) will monitor losses for different operational losses in the new automated system and indicate system improvements, with 85% as the target. Based on DMADV (design, measure, analyze, design and validate) methodology, this study analyzes the entire automated pallet handling system. It uses lean tools to identify areas for improvement, identify waste elements and propose solutions to achieve Company ER's OEE targets.FindingsIn this paper, the outcomes will be presented as documented solutions that address the losses encountered in the production system, showing a 12.8% increase in the system's OEE.Research limitations/implicationsOwing the time and resource constraint, this study only involved automated pallet handling procedures in a milk production facility. Hence, the generalization of the result is slightly limited. More studies in several different processes and sectors are required.Practical implicationsThis study provided a valuable tool for researchers for gaining deeper understanding regarding the lean manufacturing and its implementation. For practitioners, it is useful to evaluate the degree of lean manufacturing tools in their material handling systems.Originality/valueThis study is the first attempt to develop lean manufacturing constructs for evaluating the automated pallet handling procedures in a milk production facility.

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“…With the arrival of the "digital transformation era", e-commerce has been able to develop rapidly, and customers' demands for the efficiency of order item delivery have gradually increased [1]. Warehousing is the key to the efficiency of the supply chain [2], and the order picking operation is the main factor affecting the operational efficiency of warehouse distribution centers [3,4]. Among them, the cost of picking operations accounts for about 55% of the total cost of warehouse operations [5], while the walking time in picking operations accounts for more than 50% of the total operational time [6].…”

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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Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach

Cited by 12 publications

References 68 publications

Utilisation of drones in achieving various applications in smart warehouse management

Utilisation of drones in achieving various applications in smart warehouse management

Improving automated pallet handling procedures at a Saudi milk factory through overall equipment effectiveness

Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse

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