Planning and scheduling in the process industry

Kallrath, Josef

doi:10.1007/s00291-002-0101-7

Cited by 308 publications

(48 citation statements)

References 63 publications

(73 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Considering further shortcomings regarding maintenance, updating, data management, and visualization, Wacker decided to set up a new and more comprehensive Verbund-Model that has to meet a range of requirements described in the following. These requirements reflect similar considerations in several research papers on process industry planning [2][3][4].…”

Section: Verbund-model Requirementsmentioning

confidence: 80%

“…From the Verbund-Model perspective, such ERP-based approaches meet requirements of usability and specific user roles but face difficulties when it comes to complex, nonlinear, and strategic planning problems. Several other authors model planning problems using linear and nonlinear programming in combination with further approaches such as model predictive control for production planning under uncertainties [8], planning of multiproduct systems [9], value chain modeling under demand uncertainties [10], interlinking operative and strategic production [4,11], or enterprise-wide optimization [12]. All these models allow for mathematical optimization but require a highly sophisticated understanding of mathematical modeling and do neither support an iterative and intuitive development of a VerbundModel by several users nor comprehensive visualization of the model and its results.…”

Section: Approaches To Model Process Industry Production Networkmentioning

confidence: 99%

See 1 more Smart Citation

Verbund‐Simulation – Strategic Planning and Optimization of Integrated Production Networks

2010

View full text Add to dashboard Cite

Strategic analysis and optimization of highly integrated production networks is an essential requirement for cost-effective and resource-efficient production. This paper presents a comprehensive software-based concept for modeling, simulation, optimization, and visualization of an integrated silicone production network of Wacker Chemie AG. A Verbund-Model was implemented in a step-bystep approach, starting with primary material streams in one business unit up to the modeling of all energy, waste, and cost streams in several business units. The system's flexibility enables different levels of detail for modeling processes and parts of the network: from simple input-output relations to complex, nonlinear equations and specifications. The proactive implementation of technical measures and projects based on the assessment of future scenarios is an important outcome of the Verbund-simulation.

show abstract

Section: Verbund-model Requirementsmentioning

confidence: 80%

Section: Approaches To Model Process Industry Production Networkmentioning

confidence: 99%

Verbund‐Simulation – Strategic Planning and Optimization of Integrated Production Networks

2010

View full text Add to dashboard Cite

show abstract

“…B. für Produktionsplanung unter Unsicherheiten [8], Planung von Multiproduktsystemen [9], Modellierung der Wertschöp-fungskette unter Nachfrageunsicherheiten [10], der Verknüp-fung von operativer und strategischer Produktion [4,11] Der Prozess der szenariobasierten Simulation, in dem man das System so gut wie möglich zu verbessern versucht, wird auch als manuelle Optimierung bezeichnet [21].…”

Section: Introductionunclassified

Material Flow Based Planning and Optimization of Highly Integrated Production Systems

Viere

Brünner²,

Hedemann

2011

Chemie Ingenieur Technik

View full text Add to dashboard Cite

Material Flow Based Planning and Optimization of Highly Integrated Production SystemsStrategic analysis and optimization of highly integrated production networks is an essential requirement for cost-effective and resource-efficient production. A comprehensive software-based concept for modelling, simulation, optimization, and visualization of an integrated silicone production network is presented. A Verbund model was implemented starting with primary material streams in one business unit up to the modelling of all energy, waste, and cost streams in several business units. The system's flexibility enables different levels of detail for modelling processes and parts of the network. The proactive implementation of technical measures and projects based on the assessment of future scenarios is an important outcome of the Verbund simulation.

show abstract

“…They add value by mixing, separating, forming, and/or through chemical reactions (APICS, 2008, p. 104) through processes in terms of pipeline, chemical, refining, food processing, or metal processes following a batch or continuous mode (APICS, 2008). Both continuous production and batch production can as such be distinguished among process industries (Kallrath, 2002b). There are several meanings of the batch concept in the industrial context.…”

Section: Process Industriesmentioning

confidence: 99%

Planning production and supply chain in energy intensive process industries

Waldemarsson

2014

Linköping Studies in Science and Technology. Dissertations

View full text Add to dashboard Cite

To make a difference among the energy intensive process industries, this dissertation addresses production planning and supply chain planning problems related to industrial energy management issues. The energy issue is turning more and more important from different angles, involving price as well as environmental problems due to climate change leading to political pressure on all energy users. The process industry sector is one of the largest users of energy, and thus important to analyse. Process industries are also capital intensive and operate on large and expensive process equipment, making it imperative to plan their production well in order to reach preferable capacity utilisation. Therefore this dissertation strives to locate the most important energy management issues for the long term profitability of process industries, and investigates the symbiotic effects of including energy issues in production and supply chain planning.Three different studies at three case companies are carried out, analysed, and presented in five papers. The cases represent the process industry sectors: chemicals, pulp, and steel. Both qualitative case study methodologies as well as quantitative mathematical modelling and optimisation approaches have been practiced. The research questions are analysed from both an energy system and from a production process point of view, separately as well as combined. Energy is somewhat considered to be the main workforce for process industries and this dissertation exemplifies some of its most important dimensions in this context. Several prerequisites for putting energy management on the strategic agenda are located in a specialty chemical industry where the importance of introducing a strategic perspective on energy, the way energy is used, and the possibilities of increasing alternative revenue from utilising by-and/or co-products differently are pinpointed. Approaches for including energy issues in planning processes are also suggested in terms of a MILP model for the entire supply chain of a pulp company, including decisions on purchase and transportation of raw materials, production allocation, energy mix, and distribution. Another example is presented based on the perspectives of economics of scale and lot sizing through economic order quantity principles in a steel company. By using real company data, energy smart approaches in planning and scheduling are developed with respect to the most important intersections between the production processes and their supporting energy system. The accumulated resource intensity and embedded energy could, and probably should, hence be more fairly reflected in the product price. The research finally shows some possible impact with including energy issues in a production and supply chain planning model. By planning differently, production prioritisations can be done, and it is not only possible without any large investments, but also prosperous with savings on both energy and money within reach.To conclude, planning of production and supply ch...

show abstract

Planning and scheduling in the process industry

Cited by 308 publications

References 63 publications

Verbund‐Simulation – Strategic Planning and Optimization of Integrated Production Networks

Verbund‐Simulation – Strategic Planning and Optimization of Integrated Production Networks

Material Flow Based Planning and Optimization of Highly Integrated Production Systems

Planning production and supply chain in energy intensive process industries

Contact Info

Product

Resources

About