Knowledge Modeling in Construction of Technical Management System for Large Warehousing Facilities

Gajzler, Marcin

doi:10.1016/j.proeng.2015.10.023

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Fosso Wamba et al (2016) studied the technical, organization, environment and management characteristics of SMEs based on RFID technology. Gajzler (2015) explored the technical and management issues of the infrastructure construction of warehouse system from the perspective of the construction of large-scale warehouse facilities. Scott (2018) found that the warehousing business of multinational freight companies has some deficiencies in information sharing and proposed using RFID and sensor network to achieve information sharing in a warehouse.…”

Section: Literature Reviewmentioning

confidence: 99%

An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China

Liu

Yao

Zeng

et al. 2019

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Purpose Large supermarkets, chain stores and enterprises with large-scale warehousing put forward higher standards and requirements for the automation and informatization of warehouses. As one of the fast-growing commercial supermarkets in China, the traditional warehouse management mode has restricted the rapid development of Yonghui Superstores to a certain extent. The purpose of this paper is to find out how the existing warehouse mode can be changed and to solve the existing problems of warehouse management of Yonghui Superstores. Design/methodology/approach This research puts forward construction of warehouse center, which is based on radio frequency identification (RFID) and sensor technology, then designs the model for receiving, storage, operations management, distribution and outbound to solve the existing problems of warehouse management of Yonghui Superstores. Findings What technologies should be adopted to meet storage requirements? How to monitor the storage environment in real time and improve the operation and management level of the warehouse? This study found that building a warehouse center based on RFID and sensor technology was a good solution. Research limitations/implications The Yonghui Superstores warehouse center model lacks corresponding simulation experiments, and the investment and income are difficult to estimate quantitatively. Practical implications This paper has designed and discussed the warehouse center model based on RFID and sensor technology, which provides a few references for the actual investment and construction of a warehouse center. In addition, the warehouse center model has strong generalized applicability and could be widely used in various enterprises. Social implications The warehouse center could improve the warehouse management level of Yonghui Superstores and change the traditional warehouse management mode. To some extent, it improves the enterprise flexibility of the market, which will be of great significance to improve business efficiency and enhance brand image and competitiveness. Originality/value This study takes Yonghui Superstores as a case to analyze the problems of warehousing management in detail and then designs a warehouse center based on RFID and sensor technology. The study discusses the location and distribution, software and hardware selection, benefits evaluation, significances and return on investment, which makes the warehouse center model versatile, technically feasible and economically applicable.

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Section: Literature Reviewmentioning

confidence: 99%

An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China

Liu

Yao

Zeng

et al. 2019

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“…Durability is a key element for the exploitation phase, allowing for the preservation and reliable performance flooring conferred during design and construction. Taking into account the sustainability of its service life, and the nature of this stage, the phenomenon of damage or defects connected with flooring is undesirable, and also carries a negative impact on multi-faceted dimension of facility management (technical aspect, the economic, environmental and social) (Gajzler 2013(Gajzler , 2015.…”

Section: Windmentioning

confidence: 99%

Supporting of Repairs Processes of Concrete Industrial Floors

Gajzler

2016

Engineering Structures and Technologies

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Abstract. In the large-scale facilities, including on-site storage or shopping malls, floor plays an important role. It has to meet special requirements regarding mechanical properties, aesthetics and durability. Despite much effort, both in the design and execution phase, cases of damage of the floor happens, causing some specific consequences -often associated with restrictions on use. In such a situation it is required to perform rapid diagnosis and effective repair. One possibility foster this process is the use of advisory system which operates in terms of material and technological solutions. The article points out the limitations resulting from the use of advisory system related to situations of individual and unique damage. In the case of such damage it is necessary to implement research procedures and the use of advisory system turns out to be ineffective.

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“…This premise is corroborated in the literature through different points of views: Henriques and Catarino [1] and Kermeli et al [2] show concepts and market of EE in the industry; aspects of energy management and control are presented in [3][4][5][6]; and Hrovatin et al, Kang and Lee, Nehler and Rasmussen, Paramonova et al, Petek et al, Roy and Khastagir, and Aden direct and indirect benefits of EE are discussed in [7][8][9][10][11][12][13]. Along with cost reduction, EE can also contribute to improving productivity, profitability, competitiveness, and product quality [1,14,15].…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency in Brazilian industrial plants: knowledge management and applications through an expert system

Buccieri

Balestieri

Matelli

2020

J Braz. Soc. Mech. Sci. Eng.

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This article presents the application of an expert system (ES) prototype as an intelligent tool for preliminary diagnostics of energy efficiency (EE) potential in Brazilian industrial plants and knowledge management (KM) in organizational environments, aimed especially to small-and medium-sized enterprises. The prototype provides the diagnostics rationale through a module for an explanation to support the decision making and provide insights regarding the adoption of EE actions. The knowledge base required by the prototype is built from the expertise and experience of a group of experts in EE and professionals from the industrial sector. The knowledge acquired from this interaction is represented in the form of rules, which are computationally implemented through a well-known tool for developing ES. Then, the resulting prototype is validated by the same group of multidisciplinary experts. Two different applications are presented to demonstrate the possibilities of EE improvement in industrial plants. These applications also show the ES as a valuable resource for organizational KM. In such a context, the ES creates a permanent corporate memory regarding EE, so that the access to this knowledge is independent on the availability of the human experts in the area. The ES also turns EE expertise into lasting value through sharing and retention actions, contributing to further improvements and processes continuity.

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Knowledge Modeling in Construction of Technical Management System for Large Warehousing Facilities

Cited by 7 publications

References 14 publications

An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China

An RFID and sensor technology-based warehouse center: assessment of new model on a superstore in China

Supporting of Repairs Processes of Concrete Industrial Floors

Energy efficiency in Brazilian industrial plants: knowledge management and applications through an expert system

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