Strategy Optimization of Supply Chain Enterprises Based on Fuzzy Decision Making Model in Internet of Things

With the economic globalization and the intensification of market competition, competition between enterprises has developed into competition between supply chains. The influence and change of the Internet of Things (IoT) technology on the spatial structure and economic relationship of supply chain are all-round and profound, and then affect the allocation of resources and supply chain operation, which will lead to many new management problems. These problems will become a new field of enterprise supply chain management innovation. Based on the fuzzy theory, this paper uses six-point fuzzy numbers to represent the uncertainty in the supply chain and uses the possibility theory to establish the evaluation criteria for the overall performance of the supply chain. In order to satisfy the constraints of the final product order fulfillment rate and minimize the overall inventory cost of the supply chain, the model integrates and optimizes the manufacturing resource allocation strategy of the supply chain in the IoT. Finally, the effectiveness of the model is verified by simulation, which provides theoretical support for the decision-making of the supply chain enterprises in the IoT environment.

Abstract licence: CC BY-NC-ND

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