To this day, sales & operations planning (S&OP) remains one of the most critical challenges of supply chain management in terms of improving customers’ experience level and managing supply chain costs. Nowadays the synchronization of sales essentials and industrial restrictions in an uncertain environment is critical for all global companies facing complexity in supply chain networks and operations systems. Sales and supply chain structures in build-to-order industries generally have cross-functional and conflicting objects that are not easily comparable. The current research is an extension of an innovative S&OP model within a more dynamically complex system in terms of demands uncertainty and unreliability of backup supplies. The promoted model is utilized for more efficient management and integration of industrial restrictions and sales essentials in global supply chain networks in terms of demand and supply coordination and responsiveness toward customers’ needs. Accordingly, this research has applied a simulation-based optimization approach to balance the trade-off between logistics cost and customers’ experience level as the main objectives. Two classes of strategies are offered for handling parts’ replenishment and flexibility to the sales structure. Initially, the proposed model evaluates two main inventory strategies’ performances. Thereafter, the optimized values of flexibility degree and safety stock fraction for corresponding inventory strategies are calculated by using a multi-objective simulation-optimization method. The investigation begins with an overall assessment of the system's performance. Furthermore, it details the alterations among the strategies’ key performance indicators (KPIs) as system parameters’ function.

时至今日，就提高客户体验水平和管理供应链成本而言，销售与运营计划（S＆OP）仍然是供应链管理中最关键的挑战之一。如今，在不确定的环境中同步销售要素和行业限制对于所有面临供应链网络和运营系统复杂性的全球公司而言至关重要。按订单制造行业中的销售和供应链结构通常具有跨功能和相互冲突的对象，这些对象不易比较。当前的研究是在需求不确定性和备用电源的不可靠性方面，在更具动态性的复杂系统中扩展了创新的S＆OP模型。在需求和供应协调以及对客户需求的响应方面，推广的模型用于更有效地管理和整合全球供应链网络中的行业限制和销售要素。因此，本研究采用了基于仿真的优化方法来平衡物流成本和客户体验水平之间的权衡作为主要目标。提供两种策略来处理零件的补货和销售结构的灵活性。最初，所提出的模型评估了两种主要库存策略的绩效。此后，使用多目标模拟优化方法来计算相应库存策略的柔性度和安全库存分数的优化值。调查始于对系统性能的总体评估。此外，它详细介绍了作为系统参数功能的战略关键绩效指标（KPI）之间的变化。