電子技術有限公司會計信息系統設計方案畢業論文-資料下載頁

　　

【正文】 y demand is daunting (SmirchLevi, Kaminsky, amp。 SimchiLevi, 2022). 3Recent trends towards the management of logistics resources have the potential to minimize the impact of the physical dispersion of supply chain members. The objective of logistics resources management (LRM) is to determine the most effective approach for allocating the appropriate logistics resources to different logistics functions, facilitate information flow and share knowledge through a supply pipeline, provide feasible collaborative channels for supply chain partners to provide superior customer services (Ross, 2022). In LRM, five logistics operations areas are covered in a supply chain work. These are: (i) freight cost and service management, (ii) fleet management, (iii) load planning, (iv) routing and scheduling, and, (v) warehouse management (Poirier amp。 Bauer, 2022). Within these logistics operations areas, warehouse management is the most important function for linking the supply chain partners to formulate the seamless integration of the whole supply chain and for ensuring the smooth flow of products inside the work (Gu, Goetschalckx, amp。 McGinnis, 2022). With such an arrangement, it is essential to handle the warehouse resources, such as stock keeping units (SKUs), pallets and racks, pallet trucks and forklifts, and warehouse staff members, efficiently and effectively in order to have smooth manufacturing operations, to reduce inventory, lower processing, storage, and transshipment costs, and increase productivity within facilities (Vogt et al., 2022). Within the chain, currently, warehouse management systems (WMSs) are adopted to handle the warehouse resources and operations. However, these systems are lacking in realtime information sharing ability as the data collection technique is either manualbased or barcode based. Therefore, WMSs are incapable of capturing realtime information or of visualizing the actual working status (Huang, Zhang, amp。 Jiang, 2022). In addition, the positions of the resources are not located accurately by current data collection techniques (Shih, Hsieh, amp。 Chen, 2022), resulting in inappropriate resource allocation to warehouse operations. Therefore, it is essential to implement realtime data management techniques for locating the resources accurately to support warehouse operations effectively.. Current realtime data management techniques for object location trackingThere are several realtime data management techniques adopted for facilitating information sharing in the existing market. Some of the techniques are also capable of providing object location information. In the outdoor environment, the most well known technology adopted in location tracking is the global position system (GPS). It is a spacebased radionavigation system that uses 24 satellites orbiting around the Earth and receivers to locate objects, in terms of 4height, longitude and latitude coordinates, on Earth (Posturing, Barrie, amp。 Cotroneo, 2022). The main application of GPS is to determine the location of vehicles and the actual traffic condition. Although it locates an object accurately in the outdoor environment, it is unable to locate objects inside the buildings. Hence, Cell of origin (COO) or CellID is proposed to locate objects between indoor and outdoor environment. COO is a workbased location system which uses the latitude and longitude coordinates of the base station and transmitters serving the mobile device as the location of the user (Jagoe, 2022). Nevertheless, it is inaccurate in locating a moving object as “blind points” always occur due to defective coverage of the work, especially in the indoor environment. Hence, various technologies have been developed to locate objects in the buildings. Infrared, ultrasonic and radio frequency identification (RFID) technologies are the most mon approaches for locating those objects (Xu amp。 Gang, 2022). Among those three approaches, RFID technology is an emerging technology that has been widely adopted in different environments, such as manufacturing, warehousing, retailing, etc., for object identification. RFID uses a small tag containing an integrated circuit chip and an antenna, which has the ability to respond to radio waves transmitted from the RFID reader. It is able to send, process, and store information (Wu, Nystrom, Lin, amp。 Yu, 2022). This technology has been widely adopted in different business operations to identify, locate and track people, animals or assets ([Huang et al., 2022], [Streitetal., 2022], [The vissen et al., 2022] and [Vijay Raman and Osyka, 2022]). Although it is much more expensive than barcode technology, enterprises are willing to adopt such techniques so as to improve the accuracy of data capture (Morrison, 2022). By using the RFID technology, the feature of automated data capture is established. However, the mechanism that coordinates the resource management process of analyzing information, decision support, and knowledge sharing is still neglected. This highlights the need to adopt artificial intelligence (AI) techniques integrated with RFID technology to support the management of warehouse processes. In this research, the casebased reasoning (CBR) technique is adopted as this is one of the wellknown AI techniques for the development of decision support systems.5集成逆向物流活動的供應鏈信息系統在供應鏈中，倉庫是一個重要組成部分。倉庫很有必要實現有效地分配資源倉庫，有效地提高生產率，減少倉庫的經營成本。因此，倉庫管理系統（WMSs）被開發出來用來處理倉庫資源和監測倉庫操作。但是，很難每天通過使用條形碼或基于手工的倉庫管理系統來更新的庫存，叉車地點和貨柜情況。本文采用 RFID 技術，以便在一個倉庫中收集和共享數據。測試是為評估 RFID 技術的優勢和弊端。測試結果顯示，高效的無線電波能夠覆蓋無線電頻率識別基于案例的物流資源管理系統（RLRMS）檢測到的人。RLRMS 的性能在 GSL 有限公司得到體現，三項目標得以實現：㈠對 RFID 的采用簡化程序，㈡對倉庫的業務經行改進，㈢提高倉庫的生產力。成功的案例證明了的 R LRMS 在實際工作實踐中的可行性。由于全球化的影響，現有的供應鏈網日益復雜。人們要處理各種渠道的合作伙伴。這些合作可能位于一個很遠的地方，但需要大量的產品和比以往多很多的法定要求和文件。因此，滿足客戶的要求，按時交付產品和提供優良服務變得難以實現。一般來說，企業適應不同的方法去管理供應鏈活動， 包括材料采購，生產調度，倉儲和產品配送。物流資源管理（LRM 的）系統是一個有效辦法去負責管理整個供應鏈活動。它促進了物流資源分配職能方面的適當后勤和控制原材