尽管新兴技术在制造系统中得到了广泛应用，但由于客户需求的多样性以及随机性，制造企业仍面临着如何保持高效灵活的生产的问题。由于加快订单交付速度与降低库存成本之间存在矛盾，所以制造企业如何制定合适的生产触发策略是其在动态环境中保持较高竞争力的关键所在。本文主要研究了制造企业在满足随机订单交付的同时降低库存成本的生产触发策略。提出的生产触发策略包括：时间触发策略、事件触发策略和混合触发策略。本文研究了不同生产触发策略的统一理论模型和仿真模型。在每种策略中都同时考虑并实施了零件生产触发策略和产品组装触发策略。在时间触发策略和混合触发策略中还同时考虑了触发周期对系统性能的影响。实验结果表明，如果触发周期设置合适，混合触发策略和时间触发策略能够获得比事件触发策略更快的订单交付时间和更低的库存成本。

Although new technologies have been deeply applied in manufacturing systems, manufacturing enterprises are still encountering difficulties in maintaining efficient and flexible production due to the random arrivals of diverse customer requirements. Fast order delivery and low inventory cost are fundamentally contradictory to each other. How to make a suitable production-triggering strategy is a critical issue for an enterprise to maintain a high level of competitiveness in a dynamic environment. In this paper, we focus on production-triggering strategies for manufacturing enterprises to satisfy randomly arriving orders and reduce inventory costs. Unified theoretical models and simulation models of different production strategies are proposed, including time-triggered strategies, event-triggered strategies, and hybrid-triggered strategies. In each model, both part-production-triggering strategies and product-assembly-triggering strategies are considered and implemented. The time-triggered models and hybrid-triggered models also consider the impact of the period on system performance. The results show that hybrid-triggered and time-triggered strategies yield faster order delivery and lower inventory costs than event-triggered strategies if the period is set appropriately.