## 1 Introduction  
With the diversification and personalization of market demand, multi-variety and small batch production has been adopted by more and more enterprises, aiming to respond to the changes of customers and provide the market with creative products quickly. [PERSON] et al. [1] reported that, on average, 40% of an enterprise's sales come from new products. The manufacturing of new products leads to some changes in the process design, processing sequences, and material handling quantity, which has a significant impact on the manufacturing process. [PERSON] et al. [2] concluded that one-third of USA companies undergo major dislocation of scheduling and layout schemes every two years. As the decision-making focus of the production process, scheduling and layout planning run through the entire manufacturing process. To ensure production efficiency under such a market environment, the scheduling and layout schemes of enterprises must be adaptive to changing demand conditions. In view of this situation, general enterprises tend to re-design scheduling schemes and avoid adjusting layout schemes as much as possible due to time-consuming and expensive re-layout costs. The approach impedes the improvement of enterprises' responsiveness because the optimization performance of the scheduling scheme strongly depends on the original layout scheme. However, for some labor-intensive enterprises with moderately light machines or workstations that are convenient for re-layout, such as footwear or clothing industries, they can adapt better to the changes of market demand by re-designing the scheduling and layout schemes [3]. It is noted that scheduling determines the allocation of operations to machines and provides detailed material handling information between machines for the optimization of layout, while layout planning determines the optimal positions of all machines in a given workshop according to the specific scheduling scheme. It is observed that there is a close interaction between scheduling and layout planning. Therefore, the coordinated optimization of scheduling and layout planning is of vital importance for enterprises to respond quickly to changes of market demand. Recently, the issues of environmental protection and energy conservation in manufacturing industries have been gaining more and more attention. Since the beginning of the industrial revolution, the industrial sector has consumed large amounts of energy. Manufacturing enterprises are responsible for approximately 33% of global total energy consumption and 38% of greenhouse gas emissions [4]. Improving the utilization efficiency of resources and energy has become critical for the sustainable development of modern industrial companies [5]. Therefore, the concept of green manufacturing has caused wide concern in academia, society, and industry, referring to reducing pollution and saving energy consumption during the production process. Admittedly, we should improve enterprises' quick response ability when facing changes of market demand as much as possible, but it cannot be implemented at the expense of the environment. Thus, another goal of enterprises is to determine how to save energy and reduce emissions, without lowering the response ability. It should be noted that a large number of studies [6; 7; 8; 9] have indicated that reasonable scheduling and layout planning for manufacturing systems will save great energy consumption. Therefore, in order to respond quickly and effectively to changes of market demand and reduce energy consumption, the integrated optimization of scheduling and layout planning is extremely important. However, this integration is still a challenge in both research and applications. In traditional approaches, scheduling and layout planning were carried out sequentially.