Two-way scheduling optimization of the supply chain in one-of-a-kind production based on dynamic production capacity restrictions

One-of-a-kind production (OKP) is the extreme mode of mass customization. An OKP supply chain is studied as a pull-based production model with time-variant nature and lean manufacturing feature in this paper; meanwhile, its characteristics and a systematic analysis of a core idea in OKP supply chains are demonstrated. Supply chain scheduling optimization in OKP requires a dynamic optimization involving stochastic demand and time-variable resource restrictions. To resolve this problem, the dynamic production capacity restriction, which is the dominant restriction mechanism in an OKP supply chain, is investigated based on a process-driven service performance analytical computation from the perspective of dominant members (i.e. core OKP enterprises) in an OKP supply chain. To address the contradiction triggered by the dynamic production capacity restriction relation, an integrated stochastic dynamic optimization model based on a dynamic pricing mechanismn is proposed for two-way scheduling optimization in an OKP supply chain. The two-way supply chain scheduling optimization, on one hand, coordinates every member's remaining production capacity and, on the other hand, schedules key orders and general orders from customers to reduce the total production cost and time.