An integrated system solution for supply chain optimization in the chemical process industry

Berning, Guido; Brandenburg, Marcus; Gürsoy, Korhan; Mehta, Vipin; Tölle, Franz-Josef

doi:10.1007/978-3-662-05607-3_10

Cited by 7 publications

(17 citation statements)

References 17 publications

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“…Examples of papers dealing with industrial applications are Blömer and Günther (2000), Neumann et al (2002), Kallrath (2002a,b) or on multi-site supply network planning with given demand, cf. Timpe and Kallrath (2000), Grunow (2001), Grunow et al (2003), and Berning et al (2002). Production scheduling for batch and campaign production and synchronization of production plans across plants considering sequence and production mode constraints are major subjects in this field of research.…”

Section: Literature Reviewmentioning

confidence: 99%

Value chain management for commodities: a case study from the chemical industry

et al. 2008

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We present a planning model for chemical commodities related to an industry case. Commodities are standard chemicals characterized by sales and supply volatility in volume and value. Increasing and volatile prices of crude oil-dependent raw materials require coordination of sales and supply decisions by volume and value throughout the value chain to ensure profitability. Contract and spot demand differentiation with volatile and uncertain spot prices, spot sales quantity flexibility, spot sales price-quantity functions and variable raw material consumption rates in production are problem specifics to be considered. Existing chemical industry planning models are limited to production and distribution decisions to minimize costs or makespan. Demand-oriented models focus on uncertainty in demand quantities not in prices. We develop an integrated model to optimize profit by coordinating sales quantity, price

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Section: Literature Reviewmentioning

confidence: 99%

Value chain management for commodities: a case study from the chemical industry

et al. 2008

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“…MRP -as a stand-alone process -is also covered by mySAP ERP (cf. the related footnote on p. 6) and the user can choose which parts of the supply chain (which products, for instance) shall be planned in SAP APO and which shall be planned in mySAP ERP. This is because SAP APO and mySAP ERP are intrinsically integrated with the so-called Core Interface (CIF).…”

Section: Components Of Sap Apomentioning

confidence: 99%

Real Optimization with SAP® APO

Kallrath¹,

Maindl²

2006

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“…This approach has successfully been applied to production planning problems in the chemical industry. Other approaches are described by [31], [7] or [47].…”

Section: Batch and Campaign Planningmentioning

confidence: 99%

Planning and scheduling in the process industry

Kallrath¹

2002

OR Spectrum

311

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Since there has been tremendous progress in planning and scheduling in the process industry during the last 20 years, it might be worthwhile to give an overview of the current state-of-the-art of planning and scheduling problems in the chemical process industry. This is the purpose of the current review which has the following structure: we start with some conceptional thoughts and some comments on special features of planning and scheduling problems in the process industry. In Section 2 the focus is on planning problems while in Section 3 different types of scheduling problems are discussed. Section 4 presents some solution approaches especially those applied to a benchmark problem which has received considerable interest during the last years. Section 5 allows a short view into the future of planning and scheduling. In the appendix we describe the WestenbergerKallrath problem which has already been used extensively as a benchmark problem for planning and scheduling in the process industry.

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An integrated system solution for supply chain optimization in the chemical process industry

Cited by 7 publications

References 17 publications

Value chain management for commodities: a case study from the chemical industry

Value chain management for commodities: a case study from the chemical industry

Real Optimization with SAP® APO

Planning and scheduling in the process industry

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