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![Warehouse activities as a percentage of warehouse costs [10]](publication/315935037/figure/fig1/AS:495782794731520@1495215237654/Warehouse-activities-as-a-percentage-of-warehouse-costs-10.png)
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![Fig. 2. Warehouse activities as a percentage of warehouse costs [10]](publication/315935037/figure/fig1/AS:495782794731520@1495215237654/Warehouse-activities-as-a-percentage-of-warehouse-costs-10_Q320.jpg)
Warehousing is a labour-intensive process, requiring warehouse operators to use different methods of work and various equipment and to be in constant motion. During this process, various types of warehousing errors can occur, which can be reduced with the introduction of a suitable strategy. A prerequisite for this is to have sufficient knowledge o...
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Citations
... Škerlič and Muha [21] Warehousing is a labor-intensive process: warehouse operators must use different working methods and equipment and move constantly. ...
... Warehousing is a dynamic process that is also affected by ever-changing factors outside the company, e.g., relocation of production to countries with cheaper labor and various technological and organizational requirements of customers [20,21]. Warehousing is also a purposeful activity in the warehouse, which ensures the necessary flow of production processes and consumption; due to their technical nature, warehouses are complex facilities that allow this activity to be carried out [15]. ...
... The collector accepts the products to order, and the remaining units are moved to their storage location [34]. Škerlič and Muha [20,21] point out that order collection is the most time-consuming process of internal logistics, accounting for more than 50 percent of total storage costs. According to Chiang et al. [24], Dauod et al. [45], and Dieu Ho et al. [25], order collection accounts account for 55 percent of the total cost of warehousing, which shows the role of order picking in warehousing. ...
Innovative solutions are very important for the warehouse because, with their help, it is possible to ensure a more efficient connection between suppliers and consumers throughout the supply chain. This paper aims to search out and offer innovative solutions for the improvement of the storage processes in a LMC (logistics manufacturing company). The task of warehousing processes is to efficiently interconnect a complex set of operations. The proper logistics organization of warehouse processes ensures a competitive advantage for the entire company. Considering the problem identified in the company, this article raises a research question: what innovative solutions can be applied for the improvement of the storage processes? Summarizing the results of the research, it can be concluded that solving the problems of LMC warehousing processes and implementing improvements requires staff training, specialist consultations, and also a complex of innovative solutions such as: using racking systems with a racking truck, a warehouse management system with barcodes, a raw material management program, application Pick by Voice system, MRP and ERP systems, and ABC, JIT, and the Lean methods.
... In this study, we conducted a systematic literature review in an effort to systematically map failure modes driving pick errors in OP that have been identified in the literature. This study relies on the framework advocated by Grosse et al. (2015) as well as a standard search methodology for systematic reviews (Cooper et al. 2018;Denyer and Tranfield 2009;Grosse et al. 2015;Grosse, Glock, and Neumann 2017;Skerlic and Muha 2017). The search was designed to identify peer-reviewed journal and conference papers that present empirical, conceptual, and theoretical research on pick errors. ...
... Organizational behaviour management: The way OP tasks are organised including management actions affects OP quality. Managers' awareness of the source of pick error occurrence is reported as an effective solution for pick error reduction (Skerlic and Muha 2017). Assistivepick technologies can be used as a technological solution to facilitate information transfer and communication across a company. ...
... Considering individual capabilities in the design of the work process in OP systems may impact the workers' motivation. Hence, considering personal attributes such as stress, problem-solving skills, fatigue, learning, individual characteristics, and communication skills may have an impact on workers' performance, and pick error occurrence (Blanchard 2010;Skerlic and Muha 2017). ...
Order picking (OP) is a time- and labour-intensive operation in which human-system errors can lead to deficiencies in quality. This study aimed to identify human factors-related failure modes that cause human-system errors and quality deficits in OP. We conducted a systematic literature review and qualitative interviews with 38 order pickers employed by 14 different companies in four countries.
The literature review found 46 papers that identified eight different failure modes related to OP system design: physical workload, physical fatigue, mental fatigue, complexity, memory demand, vision, hearing, and motivation. The interview results confirmed many of the same factors noted in the literature review but also identified communication and supervision failure modes that had not been addressed before. The results illustrate human factors-related failure modes linked to OP system design, operation, and management that ultimately increase quality deficits and pick errors. Further research on human factors and OP system design interaction is warranted, as no assessment tool has been found to support engineers and managers seeking to improve system designs to reduce pick errors.
... system does not guarantee a decrease in operating cost due to picking errors. The authors of Ref. [13] demonstrated that the introduction of modern technological solutions alone in the warehouse does not successfully eliminate errors. They devised a strategic framework that centers around three aspects of the warehouse: organizational, human, and technological. ...
Recent literature demonstrates that warehouse order picking performance is reflected in the logistics performance of downstream retailers. Warehouse solutions and policies significantly contribute to the improvement of distribution and delivery to retailers. This paper therefore reports an analysis of the joint performance of routing policies and picking technologies, and provides insights into the best ways to combine routing strategies and paperless solutions in order to optimize cost efficiency. We follow a multistage approach that combines mixed integer linear programming algorithms, data envelopment analysis (DEA), and ranking and selection. The results show that traversal-voice picking and midpoint-voice picking combinations are equally distributed over the most efficient subsets and that superior technology can enhance picking efficiency only to a certain level. The study provides guidelines for logistics managers on ways to combine warehouse solutions and policies in order to better streamline the operations. It offers an original framework to analyze the joint performance of picking routing and picking solutions by considering the effect of picking errors.
... The warehousing reliability is closely linked to the use of modern technology, which is designed to increase productivity and quality of work. Employing modern warehouse technology ensures a more rational use of warehouse space, reduced use of energy and labour, improved control of warehousing processes, and fewer manual handling operations, which results in lower operating costs and fewer work-related accidents [2][3][4]. The reliability of warehouse processes has increased significantly with the introduction of modern technology, as its use eliminates the main risks that are inherent to the operation of a warehouse. ...
... Modern warehouse technology is categorized according to Richards [4]. The first category is storage and handling equipment, which includes Automated Guided Vehicles with a navigation system (AGV), and Automated Storage and Retrieval Systems (AS/RS). ...
The purpose of the study is to determine whether the presence of risk management in a warehouse requires the implementation of modern warehouse technology. On the basis of the literature analysis, it was possible to determine that there is a correlation between the presence of the highest level of risk management and the use of modern warehouse technology in individual warehousing processes. For this purpose, a statistical analysis was carried out on a sample of companies operating in the Slovenian automotive industry. The results did not reveal a tangible correlation between the presence of risk management with the use of individual modern warehouse technology, the motivation for its use and errors in its use. The results of the study therefore, highlight the problems that are present in the warehousing system of the Slovenian companies in the automotive industry, which are related to substandard technological equipment in the warehouses and to the discrepancy between the level of manufacturing automation and the level of warehousing automation. The results are important for the Slovenian automotive industry in terms of the implementation of modern warehouse technology in the high-tech automotive industry.
... One important and cost-intensive warehouse activity is order picking. Data from several studies substantiate that more than 36% of the warehouse business expenses come from order picking process (ŠKERLIČ, 2017). This is because of extensive involvement of manual labor. ...
ISEN 630, Texas A&M, College Station, TX Warehouse operations play a critical role in optimizing supply chain processes. Order picking process in warehouse operation is the most human resource-intensive activity. Since, order picking is a repetitive process the human worker learns over time. This proceeding evaluates the effect of incorporating cognitive learning in the order picking process. To gauge the effect, a systematic literature review method was performed utilizing the qualitative and quantitative work from literature. A case analysis of empirical relation was also used to delineate the learning process and its implications. The analysis found that incorporating cognitive learning in the order picking process improves resource utilization and decrease the uncertainty in lead time.
