Processes, Systems, and Models

Dmitry Ivanov, Alexander Tsipoulanidis and Jörn Schönberger
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Dmitry Ivanov: Berlin School of Economics and Law
Alexander Tsipoulanidis: Berlin School of Economics and Law
Jörn Schönberger: Technical University of Dresden

Chapter 3 in Global Supply Chain and Operations Management, 2021, pp 49-83 from Springer

Abstract: 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.

Keywords: Model; Process; Decision-making; Enterprise resource planning (ERP); Supply chain event management (SCEM); Supply chain operations reference (SCOR); Data analytics (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-030-72331-6_3

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DOI: 10.1007/978-3-030-72331-6_3

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