سیستم مدیریت منابع لجستیک مبتنی بر مورد RFID برای مدیریت عملیات چیدن مرتب در انبار
|کد مقاله||سال انتشار||تعداد صفحات مقاله انگلیسی||ترجمه فارسی|
|10499||2009||25 صفحه PDF||سفارش دهید|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Expert Systems with Applications, Volume 36, Issue 4, May 2009, Pages 8277–8301
In the supply chain, a warehouse is an essential component for linking the chain partners. It is necessary to allocate warehouse resources efficiently and effectively to enhance the productivity and reduce the operation costs of the warehouse. Therefore, warehouse management systems (WMSs) have been developed for handling warehouse resources and monitoring warehouse operations. However, it is difficult to update daily operations of inventory level, locations of forklifts and stock keeping units (SKUs) in real-time by using the bar-code-based or manual-based warehouse management systems. In this paper, RFID technology is adopted to facilitate the collection and sharing of data in a warehouse. Tests are performed for evaluating the reading performance of both the active and passive RFID apparatus. With the help of the testing results, the efficient radio frequency cover ranges of the readers are examined for formulating a radio frequency identification case-based logistics resource management system (R-LRMS). The capabilities of R-LRMS are demonstrated in GSL Limited. Three objectives are achieved: (i) a simplification of RFID adoption procedure, (ii) an improvement in the visibility of warehouse operations and (iii) an enhancement of the productivity of the warehouse. The successful case example proved the feasibility of R-LRMS in real working practice.
Due to the effects of globalization, current supply chain networks are increasingly complex. Logisticians have to deal with numerous channel partners who may be located a great distance apart and who request a greater than ever diversity of products, and who need to deal with more statutory requirements and documentation than ever before (Vogt, Pienaar, & De Wit, 2005). Therefore, the fulfillment of customers’ demands with good quality products, on time product delivery and superior logistics services becomes difficult to achieve. In general, enterprises have adopted different approaches for managing the supply chain activities which include material sourcing, production scheduling, warehousing and product distribution. Logistics resource management (LRM) is one of the approaches for managing the activities of the whole supply chain efficiently. It facilitates the allocation of logistics resources to appropriate logistics functions and controls the movement of raw materials, work-in-progress and finished goods, from suppliers to customers in an efficient manner. In doing this, supply chain partners are kept satisfied. A warehouse is an essential link between the upstream (production) and downstream (distribution) entities, and most of the warehouse operations are either labour- or capital-intensive. The performance of these operations not only affects the productivity and operation costs of a warehouse, but also the whole supply chain. Thus, information systems such as warehouse management systems (WMSs) were adopted for collecting data of warehouse operations in order to solve various problems in a warehouse, such as material handling problems. However, the current WMSs are incapable of providing timely and accurately warehouse operations information because they contain no feature of real-time and automatic data retrieval. Instead, the systems rely heavily on warehouse staff members to input operational information manually or through bar-code systems. Hence, incorrect information is unavoidably input from time to time as human error is inevitable (Sexton, Thomas, & Helmreich, 2000). Moreover, it is difficult to formulate reliable material handling solutions to handle different orders either by warehouse staff members (who may be biased) or through WMSs (Chow, Choy, Lee, & Lau, 2006). Therefore, it is essential to propose an intelligent system with real-time and automatic data retrieval features for solving material handling problems. Fig. 1 shows the common problems which frequently occur in a warehouse due to human error and out-of-date information. Based on the input of incorrect information in inventory level, warehouse capacity and storage location, inaccurate reports are generated from WMSs for warehouse staff members to make unreliable material handling solutions for managing the daily warehouse operations. In this paper, a set of RFID reading performance tests is performed. The tags are placed in different positions and attached to different materials for evaluating the reading performance of the active and the passive RFID devices. Based on the test results, the efficient radio frequency cover ranges of the readers are examined and the most suitable locations for the installation of the RFID devices are determined. Besides, a RFID case-based logistics resource management system (R-LRMS) is proposed to improve the efficiency and effectiveness of order-picking operations in a warehouse by means of formulating a reliable RFID technology implementation plan. This will enable warehouse resources to be located on a real-time basis and instant material handling solutions will be suggested for handling the customer orders automatically. The feature of real-time and automatic data retrieval in the proposed system is support by the RFID technology, which also facilitates constructing an effective triangular localization scheme to determine the exact locations of warehouse resources. The collected data is then compared with the attributes stored in an embedded case-based engine to determine the appropriate material handling equipment to handle the order-picking operations. Moreover, a material handling solution formulation model is constructed by mathematic algorithms to generate the shortest pick-up sequence for the appropriate material handling equipment. In doing this, the objectives of maximizing the productivity of warehouse and minimizing the operation costs in a warehouse are achieved. The paper is divided into six sections. Section 1 is the introduction. Section 2 presents related literature reviews on logistics resource management and the technologies of tracking items and the management of such data. Section 3 explains the design methodology of R-LRMS, while in Section 4, a case study is presented to illustrate the improvement in productivity in Group Sense Limited (GSL) with the help of R-LRMS. In Section 5, an analysis of the findings will be discussed. Finally, a conclusion about the use of R-LRMS is drawn and suggestions for future work are made in Section 6.
نتیجه گیری انگلیسی
In this paper, a radio frequency identification case-based logistics resource management system (R-LRMS) is proposed for formulating and suggesting the appropriate material handling solutions in a warehouse environment. In doing this, two construction phases for R-LRMS are required. With the help of Phase 1, the effective radio frequency (RF) cover ranges of the RFID technology are revealed and operation specifications of R-LRMS are determined. These results are the references to help enterprises to select the most appropriate RFID equipment and to install the equipment in the most suitable locations for data collection in the environment where it is being used. In Phase 2, three technologies are adopted in R-LRMS. They are: (i) a case-based reasoning engine, (ii) an effective triangular localization scheme and (iii) a material handling problem solver. The case-based reasoning engine is adopted for searching for the similar cases in the case-based repository and for proposed reliable solutions for handling the pick-up orders. The effective triangular localization scheme is developed for identifying the exact locations of the resources in a warehouse. The material handling problem solver is designed for constructing a cost-effective and efficient material handling solution. The integration of these technologies in the proposed R-LRMS helps enterprises improve the operational efficiency of their warehouse. It not only facilitates the real-time information sharing and resolves the communication problems among the supply chain parties, but also helps transferring the raw data to meaningful material handling solutions. The capabilities of R-LRMS are demonstrated in GSL Limited. Three objectives are achieved, they are: (i) a simplification of RFID adoption procedure, (ii) an improvement in the visibility of warehouse operations and (iii) an enhancement of the productivity of the warehouse. The successful case example proved the feasibility of R-LRMS in real working practice. Nevertheless, there is still room for improvement. Three areas should be considered in future work for improving the capabilities of the proposed system. There is still one more type of RFID tag that has not been examined in this paper. It is the semi-passive tag, which is battery-assisted with greater sensitivity than passive tags but cheaper than active tags. It is essential to evaluate the reading performance of this tag in a warehouse environment in order to provide a comprehensive RFID performance comparison for formulating an efficient RFID solution. In this paper, an effective triangular localization scheme is developed for locating the moving objects in warehouse environment. However, it is only applied by the passive RFID technology. Therefore, it is essential to modify the effective triangular localization scheme for applying it in active RFID equipment as well. Nowadays, people are more conscious of all their different partners in the entire supply chain performance. The generic R-LRMS described in this paper is able to manage the logistics resources for improving the operation performance in such a supply chain. In future, studies on different parties, such as production, distribution, etc., should be considered to determine the requirements for modifying the current architectural framework of the R-LRMS to fit the whole supply chain network.