title: An optimal-control based integrated model of supply chain
metadata.name: dc.contributor.author
metadata.value: Ivanov, Dmitry
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2014-03-04T14:22:48Z
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2014-03-17T05:42:25Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2014-03-04T14:22:48Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2014-03-17T05:42:25Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2010
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/816
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/816
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: Problems of supply chain scheduling are challenged by high complexity, combination of continuous and discrete processes, integrated production and transportation operations as well as dynamics and resulting requirements for adaptability and stability analysis. A possibility to address the above-named issues opens modern control theory and optimal program control in particular. Based on a combination of fundamental results of modern optimal program control theory and operations research, an original approach to supply chain scheduling is developed in order to answer the challenges of complexity, dynamics, uncertainty, and adaptivity. Supply chain schedule generation is represented as an optimal program control problem in combination with mathematical programming and interpreted as a dynamic process of operations control within an adaptive framework. The calculation procedure is based on applying Pontryagin's maximum principle and the resulting essential reduction of problem dimensionality that is under solution at each instant of time. With the developed model, important categories of supply chain analysis such as stability and adaptability can be taken into consideration. Besides, the dimensionality of operations research-based problems can be relieved with the help of distributing model elements between an operations research (static aspects) and a control (dynamic aspects) model. In addition, operations control and flow control models are integrated and applicable for both discrete and continuous processes.
metadata.lang: ru
metadata.name: dc.language.iso
metadata.value: English
metadata.lang: ru
metadata.name: dc.publisher
metadata.value: Graduate School of Management, Saint Petersburg State University
metadata.lang: -
metadata.name: dc.relation.ispartofseries
metadata.value: Working Paper; #7 (E)-2010
metadata.lang: -
metadata.name: dc.subject
metadata.value: supply chain
metadata.lang: ru
metadata.name: dc.subject
metadata.value: model of supply chain scheduling
metadata.lang: ru
metadata.name: dc.subject
metadata.value: optimal program control theory
metadata.lang: ru
metadata.name: dc.subject
metadata.value: Pontryagin's maximum principle
metadata.lang: ru
metadata.name: dc.subject
metadata.value: operations research model
metadata.lang: ru
metadata.name: dc.title
metadata.value: An optimal-control based integrated model of supply chain
metadata.lang: ru
metadata.name: dc.type
metadata.value: Working Paper
metadata.lang: ru
metadata.name: dc.contributor.altauthor
metadata.value: Иванов, Д.
metadata.lang: -
resources.filename: 7(E)_2010.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/816/1/7%28E%29_2010.pdf
resources.format: Adobe PDF
resources.size: 495,83 kB