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.

尽管新技术在制造系统中得到了深入应用，但由于各种客户需求的随机到来，制造企业仍然面临着保持高效灵活生产的困难。快速的订单交付和低库存成本从根本上是相互矛盾的。如何制定合适的生产触发策略是企业在动态环境中保持高水平竞争力的关键问题。在本文中，我们关注制造企业的生产触发策略，以满足随机到达的订单并降低库存成本。提出了不同生产策略的统一理论模型和仿真模型，包括时间触发策略、事件触发策略和混合触发策略。在每个模型中，都考虑并实施了零件生产触发策略和产品装配触发策略。时间触发模型和混合触发模型也考虑了周期对系统性能的影响。结果表明，如果周期设置得当，混合触发和时间触发的策略比事件触发的策略产生更快的订单交付和更低的库存成本。