This paper proposes a production planning approach for a job shop type manufacturing company in electronics sector that operates with make-to-order (MTO) convention and has a high-mix production range. A novel Mixed Integer Linear Programming (MILP) model is proposed that finds workload-dependent planning horizon by making order acceptance decisions. Partial acceptance of orders and delayed internal target deliveries contribute to the novelty of the proposed model. We establish the complexity of the problem and solve real-life problem instances of a medium-size manufacturing company in the south of The Netherlands. Our computational results show that the proposed MILP model can allocate desired workload to work centers by dynamically adjusting the time horizon for production plans. Our approach can practically be used within reasonable times for daily updates of internal production targets. We perform a sensitivity analysis to show how the time horizon is determined with varying system conditions. The obtained workload amounts satisfy minimum requirements of production units, as this cannot be achieved by the current practice.

本文为电子行业的加工车间型制造公司提出了一种生产计划方法，该公司采用按订单生产 (MTO) 惯例并具有高混合生产范围。提出了一种新颖的混合整数线性规划 (MILP) 模型，该模型通过做出订单接受决策来找到与工作负载相关的计划范围。部分接受订单和延迟内部目标交付有助于建议模型的新颖性。我们确定问题的复杂性并解决荷兰南部一家中型制造公司的现实问题实例。我们的计算结果表明，所提出的 MILP 模型可以通过动态调整生产计划的时间范围将所需的工作量分配给工作中心。我们的方法实际上可以在合理的时间内用于内部生产目标的日常更新。我们进行了敏感性分析，以展示如何根据不同的系统条件确定时间范围。获得的工作量满足生产单位的最低要求，这是目前的做法无法实现的。