By Dmitry Ivanov
The contemporary transformation of the world’s monetary setting necessitates the re-thinking of offer chain administration (SCM) pursuits and decision-making innovations. Adaptive provide Chain Management develops new viewpoints at the SCM objective paradigm, challenge semantics, and decision-making help.
Drawing upon years of study and useful adventure, and utilizing a number of examples, the authors unite conceptual issues of offer chains with a optimistic point of engineering and strategies to real-world difficulties. Adaptive offer Chain Management presents complex insights into dynamics, complexity, and uncertainty in offer chains from the views of platforms research, keep an eye on concept, and operations study. It additionally considers offer chain adaptability, balance, and crisis-resistance. specific highlights include:
• an knowing of offer chain functionality as a composition of profitability and international stability;
• the tackling of hyperlinks among partial SCM issues of regard to various administration degrees, varied provide chain buildings, and in provide chain dynamics;
• a mathematical method in keeping with the mixed program of regulate concept, platforms research, operations learn, and agent-oriented modelling; and
• provide chains modelled as dynamic multi-structural energetic systems.
Providing readers with a finished view of complex SCM innovations, optimistic mathematical ideas and versions, Adaptive offer Chain Management is a useful textual content for practitioners and researchers who specialise in SCM and operations.
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Extra resources for Adaptive Supply Chain Management
Logistics and supply chain management 2(25):32–38, (in Russian) Ross A (2004) Creating agile supply chain. IEEE Manufacturing Engineer 82(6):18–21 Rudolph T, Drenth R (2007) Kompetenzen fuer Supply Chain Manager. Springer, Berlin Sarimveis H, Patrinos P, Tarantilis CD, Kiranoudis CT (2008) Dynamic modeling and control of supply chain systems: a review. Comput Oper Res 35(11):3530–3561 Shen W, Norrie DH, Barthes JP (2001) Multi–agent systems for concurrent intelligent design and manufacturing. Taylor & Francis Group, London Simchi-Levi D, Wu SD and Zuo-Yun S (2004) Handbook of quantitative supply chain analysis.
In this stream, researchers try to grasp managerial structure issues related to business networking. The studies give extensive guidelines for a deeper understanding of the basic principles and advantages of new organizational forms. We will consider this research stream in more detail in Chap. 2. The second research direction is modelling. SC modelling supports the decision-making process through computational tools and a greater understanding of SC operating characteristics (Chatfield et al. 2009).
The coordination has become a key factor in mitigating the bullwhip effect and in overcoming information asymmetry (Lee et al. 1997, Chen et al. 2000,). Moreover, due to Internet technologies, it has become possible to integrate customers into SC considerations, resulting in the development of the build-toorder (BTO) SCM (Gunasekaran and Ngai 2005, Sharif et al. 2007). 4 Flexibility, Coordination and Agility Unlike the well-grounded manufacturing flexibility, SC flexibility is still an underinvestigated area.