Modeling and Simulation of SCSA Performance under E-Commerce Environment

Abstract

The performance evaluation of supply chain strategy alliance (SCSA) has the novelty compares with the traditional enterprise organization form under electronic commerce environment. This paper constructs a set of systematic SCSA evaluating indices system that included four aspects of customer and node enterprise satisfaction, supply chain operation flow, supply chain economic benefit, supply chain innovation and learning capability based on SCSA performance characteristic, uses the thought of balanced scoreboard and supply chain performance metrics reference mode1 (SCPR). Aiming at the problem of how to evaluate the SCSA performance, this paper proposes the data envelopment analysis (DEA) model based on chaos optimization (CO) algorithm, which not only can use the chaotic motion characteristics of the initial value sensitivity, the ergodicity, and the randomness, remove from the partial minimum point, but display the DEA's advantage of not involving the parameter estimation and weight determination, cause the evaluation results not influenced by the different index dimension. The SCSA performance evaluating results of 16 samples show that the model is simple and feasible, and improve the evaluating accuracy and efficiency.