An Intelligent Supply Chain Information Collaboration Model Based on Internet of Things and Big Data

Abstract

Supply chain information collaboration refers to a relationship in which supply chain partners organically integrate, coordinate, and develop resources, business processes, and organizations in order to achieve common goals. The goal is to create and coordinate efforts in all aspects of the supply chain. The overall value of the supply chain is greater than the simple sum of the value of each link, thereby improving the competitiveness of the entire supply chain. However, information sharing in supply chain information collaboration has always had problems such as information distortion, information loss, and information delay. The effective coordination of information has become a difficult point in supply chain management. This paper mainly uses the Internet of Things and big data technology to build a simulation model of the supply chain bullwhip effect based on the mathematical model of the bullwhip effect and uses the simulation method to simulate and study the key factors in the model. The image of the simulation results objectively clarifies the value of information collaboration in the supply chain. INDEX TERMS Supply chain, information collaboration model, Internet of Things, big data. I. INTRODUCTION

Coordination Mechanism of Supply Chain considering the Bullwhip Effect under Digital Technologies

“…Combining Figures 11,12, and 15, we find that the performance of the supply chain improved under a centralized decision-making scenario, which is mainly because the information sharing under a centralized decision-making scenario reduces the impact of the BWE on the supply chain.…”

“…Blockchain can alleviate the problems caused by information asymmetry in the supply chain [3,9,10]. Big data plays a crucial role in demand forecasting and reducing the BWE [2,11,12]. By supporting real-time information sharing within supply chains, cloud computing can reduce information inconsistency and time delays to minimize the BWE [13][14][15][16].…”

Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things

“…IoT can be used as a safe and reliable way of exchanging information related to goods and services in a global supply chain. IoT, obviously, uses the Internet as a carrier to integrate all interconnected and independently addressable "things" through wireless communication technology and radio frequency technology (Jiang 2019). Ivanov et al (2018) argue that Industry 4.0 systems can benefit from control theory by integrating crucial information feedbacks and dynamics leading to robust, stable and resilient supply chains.…”

An Interaction Investigation of the Contributing Factors of the Bullwhip Effect Using a Bi-Level Social Network Analysis Approach

“…(1) The information distortion is pointed out as the root cause of BWE. And the importance of information collaboration was also highlighted by Jiang [54]. Therefore, the level of information sharing in a supply chain needs to be improved by collaboration among supply chain members, like POS data sharing between the retailer and supplier.…”