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Theory of constraints based information systems in production management

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dc.title Theory of constraints based information systems in production management en
dc.contributor.author Ferenčíková, Denisa
dc.relation.ispartof Proceedings of the 8th European Conference on Management Leadership and Governance
dc.identifier.isbn 978-1-908272-76-8
dc.identifier.isbn 978-1-908272-75-1
dc.date.issued 2012
dc.citation.spage 474
dc.citation.epage 480
dc.event.title 8th European Conference on Management Leadership and Governance (ECMLG)
dc.event.location Pafos
utb.event.state-en Cyprus
utb.event.state-cs Kypr
dc.event.sdate 2012-11-10
dc.event.edate 2012-11-11
dc.type conferenceObject
dc.language.iso en
dc.publisher Academic Conferences and Publishing International (ACPI) en
dc.relation.uri http://academic-conferences.org/pdfs/ECMLG_2012-Abstract-booklet.pdf
dc.subject production management en
dc.subject capacity planning en
dc.subject theory of constraints en
dc.subject planning system en
dc.subject information systems in production management en
dc.subject bottleneck en
dc.description.abstract Management, in general, consists of several activities such as planning, organizing, leading and controlling an organization, improving processes, decision making etc. Production management covers the same activities, but it is focused especially on production system. This paper deals with production planning that is one of the most important activities of production management. Some planning problems are too complex to be solved without using an adequate software tool. Several planning methods used in business information systems are presented in this paper. All of the mentioned methods are based on TOC (Theory of Constraints) principles and all of them should help to simplify decision processes on production management level. The goal of this paper was to explore the influence of TOC based planning information systems on company performance and outcomes. Our research was focused especially on make-to-order companies where capacity problems are very frequent. Therefore this paper deals only with information systems that include TOC principles in their planning algorithms as the very important tool for optimal utilization of constrained resources and increasing production throughput. Our research was divided into two phases. In the first phase we addressed manufacturing companies in order to identify the major problems in production planning processes. We found out that a lot of mentioned problems relate with the absence of a special software application for production planning and scheduling. Almost 70% or respondents still use MS Excel or any similar software application for this purpose. It is not an adequate tool for solving capacity or the next complex planning problems. We also found out that companies which use any advanced planning solution are not able to measure its benefits in the most cases. In the second phase of our research we focused on Czech information systems providers and tried to identify all TOC based planning systems that are offered on the Czech market. We found out that the most often used advanced method for production planning is APS (Advanced Planning and Scheduling), but not all offered systems include all four of its planning algorithms. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1003452
utb.identifier.rivid RIV/70883521:28120/12:43868182!RIV13-MSM-28120___
utb.identifier.obdid 43868275
utb.identifier.wok 000321614900060
utb.source d-wok
dc.date.accessioned 2013-08-21T10:18:25Z
dc.date.available 2013-08-21T10:18:25Z
utb.contributor.internalauthor Ferenčíková, Denisa
utb.fulltext.affiliation Denisa Ferenčíková Tomas Bata University in Zlin, Faculty of Management and Economics, Department of Industrial Engineering and Information Systems, Zlín, Czech Republic ferencikova@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This research was supported by a grant from Tomas Bata University in Zlín, project number IGA/FaME/2012024.
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Department of Industrial Engineering and Information Systems
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