Abstract
Nowadays, due to the rapidly changing economic and political conditions, global companies face a continuous challenge to constantly re-evaluate and optimally configure the operations of their Supply Chain (SC) for achieving key performance indices, such as profitability, cost reduction and customer service. Companies seek to optimize their global SCs in response to competitive pressures or to acquire advantage of new flexibility in the restrictions on world trade. Process industries also follow the same trend. The process systems engineering community has been aware of this change and, today, is playing a key role in expanding the system boundaries from chemical process systems to business process systems. The global optimization of a SC network is an extremely complex task. For this reason, SC decisions are typically divided into three decision levels: the operational (scheduling), the tactical (planning), and the strategic (design).
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References
CEFIC (2017) Facts and figures: the European chemical industry in a worldwide perspective. Technical report. Conseil Européen des Fédérations de l’Industrie Chimique
CSCMP (2018). http://cscmp.org. Technical report quarterly. Council of Supply Chain Management Professionals
Grossmann IE, Westerberg AW (2000) Research challenges in process systems engineering. AIChE J 46(9):1700–1703
Kreipl S, Pinedo M (2004) Planning and scheduling in supply chains: an overview of issues in practice. Prod Oper Manage 213(1):77–92
Marquardt W, Wedel LV, Bayer B (2000) Perspectives on lifecycle process modeling. Proc AIChE Symp Ser 96(323):192–214
Min H, Zhou G (2002) Supply chain modeling: past, present and future. Comput Ind Eng 43(1–2):231–249
Porter ME (1985) Competitive advantage: creating and sustaining superior performance. The Free Press, New York
Sargent RWH (1991) What is chemical engineering? CAST Newslett 14(1):9–11
Shapiro JF (2007) Modeling the supply chain. International student edition, Duxbury, New York
Simchi-Levi D, Kaminsky P, Simchi-Levi E (2004) Managing the supply chain: the definitive guide for the business professional. McGraw-Hill, New York
Tsiakis P, Papageorgiou LG (2008) Optimal production allocation and distribution supply chain networks. Int J Prod Econ 111(2):468–483
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Kopanos, G.M., Puigjaner, L. (2019). Introduction. In: Solving Large-Scale Production Scheduling and Planning in the Process Industries. Springer, Cham. https://doi.org/10.1007/978-3-030-01183-3_1
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DOI: https://doi.org/10.1007/978-3-030-01183-3_1
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