Abstract
With the development of economic globalization, the uncertainty of supply chains is also increasing, and alleviating the bullwhip effect has become an important issue. From previous discussions on alleviating the bullwhip effect, there was no research on alleviating it by enhancing supply chain agility through improving big data. Moreover, it has not been found that quality function deployment is used to analyze the interdependence between big data and supply chain agility, as well as between supply chain agility and the bullwhip effect. In particular, the interaction of bullwhip effect factors are not considered. In this study, the multicriteria decision-making integrated framework is proposed and the largest relay manufacturer in China is taken to identify key big data enablers to enhance supply chain agility and mitigate the bullwhip effect, thus providing an effective method for electronic equipment manufacturing enterprises to develop a supply chain that can quickly respond to changes and uncertainties. These big data enablers can enhance supply chain agility and reduce the bullwhip effect. This framework provides an effective method for electronic manufacturers to formulate supply chain agility indicators and big data enablers to mitigate the bullwhip effect and also provides a reference for other manufacturing enterprises in supply chain management.
Highlights
With the advent of globalization, integration, and the knowledge economy, competition among enterprises is increasingly intensified [1]
Many scholars have studied the application of big data in logistics and supply chain management
Many areas of supply chain management can benefit from big data, including alleviating the bullwhip effect, multi-criteria decision-making [96], planning and scheduling [97], predictive maintenance based on sensor data, efficient logistics [98], forecasting and demand management [99], and sustainable supply chain management [100,101]
Summary
With the advent of globalization, integration, and the knowledge economy, competition among enterprises is increasingly intensified [1]. 2021 obtained the order of elastic enhancement by developing two houses of quality in the elevator manufacturing supply chain to connect studies on interruption risk, elastic capability, and elastic enhancement characteristics [39].there is no research on the development of two houses of quality to connect bullwhip effect factors (BEFs), supply chain agility indicators (SCAIs), and Big data enablers (BDEs), and build the ability of China’s electronic equipment manufacturing enterprises’ supply chains to deal with the bullwhip effect by integrating the multicriteria decision-making (MCDM). To suggest some managerial implications for the use of the proposed BDA in the supply chain of electronic equipment manufacturing enterprises To achieve this goal, the key BDEs were selected using the MCDM-QFD method.
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