Based on the current status of the development of equipment manufacturing enterprises, the main influencing factors and main evaluation indicators of the equipment manufacturing enterprises in the context of dual‐channel marketing are analyzed and determined. According to the organizational layout and transaction form of equipment manufacturing enterprises, the problem of equipment manufacturing enterprise location decision‐making with online channel and offline channel trading mode is divided into two categories. One is the single‐plant location decision problem, and the other is the multiplant location decision problem. In the single‐plant location decision problem, we have established the conceptual model and mathematical model. Based on prospect theory, we use multicriteria decision‐making method to quantify and standardize the evaluation index and determine the reference value, and the priority of the scheme is determined according to the final comprehensive value. In the multiplant location decision problem, we have established the conceptual model and the logical model and established the mathematical model with the goal of minimizing the cost and time. Finally, an example is given to solve the location problem of single plant and multiple plants. The feasibility of the model is proved by the solution and verification.

In recent years, the urban environment has been destroyed with the rapid development of technology and economy. Therefore, it is urgent for the big cities to build Sponge City to deal with the problem of water ecological disharmony. First of all, in this paper, we analyze the unfavorable situation of the urban environment and summarize the current research status of sponge cities. On this basis, we establish the method system by combining TOPSIS with grey correlation degree, and take a Sponge City construction case to verify the method and then come to the conclusion.

In order to study the decision‐making behavior of the participating groups in shared manufacturing, this paper constructs a tripartite evolutionary game model of shared manufacturing by manufacturing companies under government regulation mechanism. Using evolutionary game theory, it is to analyze the evolutionary stable strategy (ESS) of the model. The utilization efficiency of government regulatory input and the influence of government nonregulation in the proportion of regulatory income are discussed. MATLAB numerical simulation is used to analyze the influence of different parameter changes on the evolution result. It is concluded that the initial sharing probability of manufacturing companies, the level of trust in the company, the government’s penalties for nonsharing parties, the utilization efficiency of government inputs and the rewards given to the government by the state all play a positive role in promoting shared manufacturing and government regulation of manufacturing companies. The lower the ratio of government nonregulation to the income of regulation is, the more active government regulation is. In addition, the shared income should be distributed reasonably. Therefore, in the shared manufacturing process, all the above factors should be considered.

The high rate of the corruption of fresh food in the circulation process leads to risks in cold chain logistics. This paper establishes an evolutionary game model of cold chain logistics outsourcing of fresh food enterprises with operating risks. The replication dynamic equations of the model are given. The Evolutionary Stable Strategy (ESS) is determined, and the impact of the different parameters is analyzed. The results show that the evolution direction of the model is influenced by the initial state, excess incomes and their distribution coefficients, excess costs caused by operating risks, costs of fresh-keeping efforts, default costs, and losses of unfulfilled contracts. Numerical simulation experiments are conducted to verify the theoretical results by using MATLAB.