Product Portfolio Design Using Prescriptive Analytics

Autor: Christian Dölle, Günther Schuh, Merle-Hendrikje Jank
Rok vydání: 2018
Předmět:
Zdroj: Advances in Production Research ISBN: 9783030034504
DOI: 10.1007/978-3-030-03451-1_57
Popis: Due to volatile and heterogeneous customer requirements as well as dynamically changing market trends, companies face a highly uncertain environment nowadays. Consequently, to satisfy customer expectations, the number of product variants offered has increased drastically in recent years and so has the product portfolio complexity. Moreover, because of the complex and quickly changing interdependencies between internal and external factors influencing the portfolio configuration, product managers are neither capable of designing portfolios that align with strategic company objectives nor able to adapt product portfolios efficiently. Under these circumstances, to satisfy volatile market demands while configuring the product portfolio in accordance with the corporate objectives, a dynamic, data-based and prescriptive methodology is needed. While existing literature focuses on analysing the past or current portfolio configuration, none of the approaches succeed in aligning a company’s portfolio with its strategic objectives in a systematic and prescriptive manner. This paper combines the topics of product portfolio configuration and prescriptive analytics to enable a data-based and future-orientated alignment of a company’s portfolio and its corporate objectives. This way, the product management is empowered to make the right decisions straight away, allowing the portfolio to remain a crucial factor for strategic company success.
Databáze: OpenAIRE