طراحی و توسعه سیستم های گردش کار لجستیک برای مدیریت تقاضا با RFID

This paper discusses demand and supply chain management and examines how artificial intelligence techniques and RFID technology can enhance the responsiveness of the logistics workflow. This proposed system is expected to have a significant impact on the performance of logistics networks by virtue of its capabilities to adapt unexpected supply and demand changes in the volatile marketplace with the unique feature of responsiveness with the advanced technology, Radio Frequency Identification (RFID). Recent studies have found that RFID and artificial intelligence techniques drive the development of total solution in logistics industry. Apart from tracking the movement of the goods, RFID is able to play an important role to reflect the inventory level of various distribution areas. In today’s globalized industrial environment, the physical logistics operations and the associated flow of information are the essential elements for companies to realize an efficient logistics workflow scenario. Basically, a flexible logistics workflow, which is characterized by its fast responsiveness in dealing with customer requirements through the integration of various value chain activities, is fundamental to leverage business performance of enterprises. The significance of this research is the demonstration of the synergy of using a combination of advanced technologies to form an integrated system that helps achieve lean and agile logistics workflow.

The logistics and supply chain environment is characterized by aggressive global competition, rapidly changing technologies and increasingly complex markets, all of which have prompted the development of information systems to facilitate the exchange and update of relevant data transactions. In general, decisions are made by logistics services providers, normally based on personal experience and knowledge. However, recent reviews on logistics systems indicate that inadequate attention has been given related to the development of a logistics workflow system which can respond rapidly to outside changes in an effective manner (Goutsos and Karacapilidis, 2004 and Liu et al., 2005). With advert of RFID technology, information of moving objects can be obtained in a quick manner and easier way. Identification of demand pattern, market trend, and customer behaviour requires real time information and formulation of replenishment strategy needs both explicit and implicit knowledge. Since knowledge is captured by human experts and the turnover of the experienced staff may lead to loss of valuable corporate asset. This research aims to develop a responsive logistics workflow system featured with a combination of emerging technologies for capturing update information and deploying relevant knowledge, thus facilitating effective demand management (Lee, Lau, & Ho, 2005).

The responsiveness of the logistics workflow system is expected to be significantly leveraged as OLAP and ANN are included to master the information efficiently. The benefits of the proposed system include power control over inventory so as to respond to customer’s needs quickly. The improvement in efficiency will not simply come because the RFID devices can move data faster. The interlinking of the system, which will lead to better data transmission and recognize the demand pattern, has beneficial effect on the entire supply network. This paper proposes an infrastructural framework, involving various emerging technologies for the development of logistics workflow systems with distinct features of the ability to governing supply chain inventory through understanding the parameters of the distribution patterns. The major contribution of the proposed system is to determine the correct replenishment strategy by automatically classifying the distribution patterns within the complex demand and supply chain. It is recommended for the researchers to utilize the innovation information technologies to create values for distributors, manufacturers and retailers with vendor management inventory concept that can obtain a better quality of the ordering process and inventory management. Further research on the infrastructural framework, particularly relating to the synergetic combination of fuzzy logic is needed in order to leverage the uncertainties in the turbulent market.