Publication | Closed Access
A Hierarchical Product Development Planning Framework
65
Citations
59
References
2005
Year
Automotive IndustryEngineeringIndustrial EngineeringProject ManagementSmart ManufacturingManufacturing ManagementOperations ResearchProduct ManagementProduct DevelopmentManagementNpd UncertaintySystems EngineeringSupply ChainNew Product DevelopmentDesignManufacturing PlanningManufacturing SystemsStrategySupply Chain ManagementSupply Chain DesignManufacturing StrategySoftware DesignProduction PlanningIndustrial DesignBusinessUncertainty ManagementProduct Modeling
NPD planning faces uncertainty across market, creative, technological, and process dimensions, is increasingly decentralized, and often leads to path‑dependent scenarios spanning strategic to operational levels. The authors propose a stochastic hierarchical product development planning framework with multiple recourses to coordinate complexity and maximize performance, and argue for a fourth infrastructural planning level to reestablish norms as latent uncertainty is revealed. The framework is a stochastic hierarchical model that incorporates multiple recourses (corrective actions) to coordinate NPD planning across levels. An automotive industry illustration demonstrates deployment of the framework, and the authors discuss its applicability for managing NPD capabilities over time.
Uncertainty in new product development (NPD) planning embraces market, creative, technological, and process dimensions to a much greater extent than in non‐NPD project planning. Yet, NPD management is becoming increasingly decentralized, both within the firm and across the supply chain. Hence, planning for NPD uncertainty often results in path‐dependent scenarios cutting across the strategic, tactical, and operational levels of planning. To coordinate this resulting complexity, we propose a stochastic hierarchical product development planning framework with multiple recourses, i. e., corrective actions, to maximize performance across a firm's entire NPD program. We also argue the necessity for a fourth planning level, the infrastructural, that reestablishes norms for market projections, technological forecasts, scheduling, and requirements as latent uncertainty in the environment is continually revealed. An illustration from the automotive industry is presented to demonstrate a deployment of our framework. We additionally discuss the applicability of this framework for managing NPD capabilities over time.
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