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Processes, Systems, and Models

In: Global Supply Chain and Operations Management

Author

Listed:
  • Dmitry Ivanov

    (Berlin School of Economics and Law)

  • Alexander Tsipoulanidis

    (Berlin School of Economics and Law)

  • Jörn Schönberger

    (Technical University of Dresden)

Abstract

This chapter starts with an introductory case study from the aerospace industry. First, the interrelations between business processes, quantitative models, and information systems are discussed. Next, the role of business process management in operations and supply chains is considered. Subsequently, the effects of management information systems in supply chain and operations management are analyzed. In particular, ERP, APS, WMS as well as RFID technologies are considered. Second, the terms “planning,” “problem,” and “decision” are clarified. The role of models and modeling in decision-making is discussed. Furthermore, this chapter analyzes the crucial role of uncertainty, resilience, and risk management in decision-making. Finally, quantitative methods of decision-making are presented and discussed with regard to their applicability to supply chain and operations management. Particular attention is paid to data analytics.

Suggested Citation

  • Dmitry Ivanov & Alexander Tsipoulanidis & Jörn Schönberger, 2021. "Processes, Systems, and Models," Springer Texts in Business and Economics, in: Global Supply Chain and Operations Management, edition 3, chapter 3, pages 49-83, Springer.
  • Handle: RePEc:spr:sptchp:978-3-030-72331-6_3
    DOI: 10.1007/978-3-030-72331-6_3
    as

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