Agility in Supply Chain Planning and Execution

Santiago Kraiselburd

A chapter in Global Logistics and Supply Chain Strategies for the 2020s, 2023, pp 277-287 from Springer

Abstract: Abstract For variability that can be described by a distribution function or estimated using frequency of occurrence, the combination of new digital sources of data and advanced analytics/optimization techniques is the subject of a lot of recent work in academia. However, not much has been written on the design and implementation of decision systems to detect and respond to “special,” uncertain, and non-predictable causes of variation. The recent COVID-19 pandemic is an all too real example of how disruptive this variation can be to the unprepared. Clearly, structurally flexible and short lead time supply chains can help. Beyond this flexibility, we introduce the concept of agile supply chain planning, which deals with early detection and quick and effective decision-making. This chapter describes how agile supply chain planning systems can complement the advances made in dealing with normal variation by successfully dealing with “special” events and lead to significant impact both for drastic, generalized crises or less dramatic occasions. Keywords: agile; decision making; planning; execution; uncertainty, special causes of variation; digital fact based

Keywords: Agile; Decision making; Planning; Execution; Uncertainty; special causes of variation; Digital fact based (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-95764-3_16

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DOI: 10.1007/978-3-030-95764-3_16

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