Abstract
In this paper, we seek to evaluate supply chain logistics information quality (SCLIQ) from the Just-In-Time (JIT) perspective. First, based on the analysis of SCLIQ, it is proposed that the SCLIQ evaluation should be combined with JIT philosophy. Second, based on SPC and information entropy method, an evaluation method of SCLIQ is presented. The statistical process control method (SPC) is adopted to evaluate the information quality of quantity and time respectively, the information entropy method is employed to determine their weight and the comprehensive evaluation results, and these results are analyzed according to SPC. Finally, a numerical example is used to demonstrate the feasibility of the proposed method. The major contribution of this paper is the combination of SQLIQ and JIT philosophy, while an objective and comprehensive evaluation method of SCLIQ from the JIT perspective is developed. The results are useful for evaluating SCLIQ and determining the best direction of improvement activities.
Highlights
In the context of globalization, the increasingly fierce and dynamic competition has forced many manufacturing enterprises to select the most appropriate improvement initiatives for improving customer satisfaction [1]
2) We present a novel evaluation method of supply chain logistics information quality (SCLIQ) based on the statistical process control method (SPC) and information entropy method
Determining the information quality of time According to SPC, similar to the amount evaluation, for a specific ρi, if ρi is within this control range, the supply chain logistics information is on time
Summary
In the context of globalization, the increasingly fierce and dynamic competition has forced many manufacturing enterprises to select the most appropriate improvement initiatives for improving customer satisfaction [1]. Z. Zhiwen et al.: Supply Chain Logistics Information Quality Evaluation From JIT Perspective. To achieve the objectives of JIT, the manufacturing enterprise must select the most appropriate supply chain network (an effective supply chain logistics system is necessary to support production processes [15]) for the reduction of total costs and waste of time [16]. A large amount of data on logistics information can be collected from the wide application of automatic identification technologies such as barcode technology, radio frequency identification (RFID), and all kinds of sensors These data can provide more information to enable the supply chain to make correct decisions, this information is disorganized and complicated [22], [23]. Compared with prior relevant literature on information quality evaluation, the proposed evaluation is based on the combination of SCLIQ and JIT philosophy.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
