Two-way scheduling optimization of the supply chain in one-of-a-kind production based on dynamic production capacity restrictions. (April 2018)

• Record Type: Journal Article
• Authors: Mei, Ying; Ye, Jiawei; Zeng, Zhigang
• Is Part Of: Journal of manufacturing systems. Volume 47(2018)
• Page Start: 168
• Page End: 178
• Publication Date: 2018-04
• Subjects: Supply chain -- Two-way scheduling optimization -- Dynamic production capacity -- One-of-a-kind production (OKP); Manufacturing processes -- Periodicals; Production engineering -- Data processing -- Periodicals; Robots, Industrial -- Periodicals; Production, Technique de la -- Informatique -- Périodiques; Robots industriels -- Périodiques; Electronic journals; 670.42
• DOI: 10.1016/j.jmsy.2018.05.007
• Languages: English
• ISSNs: 0278-6125

Abstract

Highlights: OKP supply chain characteristics and a systematic analysis of a core idea in OKP supply chains. Through process-driven/activity-oriented simulation and analytical computation, clarify the dynamic production capacity restriction, which is the dominant restriction mechanism in an OKP supply chain, from the production perspective of core OKP enterprises. Based on the study of OKP supply chain scheduling mechanism, propose an integrated stochastic multi-objective dynamic optimization model based on a dynamic pricing mechanism for two-way scheduling optimization in an OKP supply chain. Abstract: 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.