An Agent-based Model for Flexible Customization in Product-Service Systems

Product-Service System (PSS) models offer an integrated service solution to create value for businesses. In the high-value manufacturing sector, creation maintaining market competitiveness and improving customer satisfaction is a challenging task. Designing effective PSS depends on service, product requirements constraints. Thereby, contract decisions can be significantly influenced by customers’ requirements, also features. However, existing literature primarily focuses impact of decisions. Moreover, insights customization mainly consider hysteretic rather than forecasting under uncertainties. this paper, agent-based cost-benefit analysis simulation model implemented context. sensitivity conducted costs. Additionally, effect remaining life analyzed. The considers stochastic uncertainty study contracts customization. presented supports process providing quantitative tool that measures contracts’ profitability as early requirement elicitation phase. Furthermore, bottom-up nature model, integration probabilistic uncertainties enhance flexibility A case decision in machine industry considered assessing validity model. Studies different forms highlight failure rate has most influence contract. age availability-based more significant compared spare-parts