Details

Title

Models and Algorithms for Production Planning and Scheduling in Foundries - Current State and Development Perspectives

Journal title

Archives of Foundry Engineering

Yearbook

2012

Numer

No 2

Publication authors

Keywords

Application of Information Technology to the Foundry Industry ; Production Planning ; Scheduling

Divisions of PAS

Nauki Techniczne

Publisher

The Katowice Branch of the Polish Academy of Sciences

Date

2012

Type

Artykuły / Articles

Identifier

ISSN 2299-2944

References

S. de Araujo (2008), Lot sizing and furnace scheduling in small foundries, Computers & Operations Research, 35, 3, 916, doi.org/10.1016/j.cor.2006.05.010 ; Basnet C. (2000), Production management in New Zealand: is education relevant to practice?, International Journal of Operations & Production Management, 20, 6, 730, doi.org/10.1108/01443570010321694 ; Berry S. (1992), Views of production practitioners on the importance of selected POM topics: 1978 and 1989 practitioners compared, Production and Inventory Management, 33, 2, 24. ; Camargo V. (2012), A knapsack problem as a tool to solve the production planning problem in small foundries, Computers & Operations Research, 39, 1, 86, doi.org/10.1016/j.cor.2010.10.023 ; Creighton D. (2003), Application of discrete event simulation for robust system design of a melt facility, Robotics and Computer Integrated Manufacturing, 19, 6, 469, doi.org/10.1016/S0736-5845(03)00057-7 ; Duda J. (2010), A possibility of business rules application in production planning, Archives of Foundry Engineering, 10, 2, 27. ; Eom S. (2006), A survey of Decision Support System applications (1999-2004), Journal of the Operational Research Society, 57, 11, 1264, doi.org/10.1057/palgrave.jors.2602140 ; P. van Hentenryck (1999), The OPL Optimization Programming Language. ; Kobbacy K. (2007), AI and OR in management of operations: history and trends, Journal of the Operational Research Society, 58, 1, 10, doi.org/10.1057/palgrave.jors.2602132 ; Maravelias C. (2009), Integration of production planning and scheduling: overview, challenges and opportunities, Computers & Chemical Engineering, 33, 12, 1919, doi.org/10.1016/j.compchemeng. 2009.06.007 ; Metaxiotis K. (2001), Expert systems in production planning and scheduling: a state-of-the-art survey, Journal of Intelligent Manufacturing, 13, 4, 253, doi.org/10.1023/A:1016064126976 ; Mula J. (2006), Models for production planning under uncertainty: A review, International Journal of Production Economics, 103, 1, 271, doi.org/10.1016/j.ijpe.2005.09.001 ; Nonas S. (2005), Optimal and heuristic solutions for a scheduling problem arising in a foundry, Computers & Operations Research, 32, 9, 2351, doi.org/10.1016/j.cor.2004.03.007 ; Park Y. (2009), Optimization of mixed casting processes considering discrete ingot sizes, Journal of Mechanical Science and Technology, 23, 7, 1899, doi.org/10.1007/s12206-009-0428-y ; Pinedo M. (2005), Planning and scheduling in manufacturing and services. ; Potts C. (2009), Fifty years of scheduling: a survey of milestones, Journal of the Operational Research Society, 60, S1, 41, doi.org/10.1057/jors.2009.2 ; E. dos Santos-Meza (2002), A lot-sizing problem in an automated foundry, European Journal of Operational Research, 139, 3, 490, doi.org/10.1016/S0377-2217(01)00196-5 ; Shukla S. (2008), Bidding-based multi-agent system for integrated process planning and scheduling: a data-mining and hybrid tabu-SA algorithm-oriented approach, International Journal of Advanced Manufacturing Technology, 38, 1-2, 163, doi.org/10.1007/s00170-007-1087-8 ; Stawowy A. (2007), XML Model of Planning System in Foundry, Archives of Foundry Engineering, 28, 3, 147. ; Stawowy A. (2008), Evolutionary based system for production scheduling in foundry, Archives of Foundry Engineering, 8, 3, 99. ; R. Teixeira, Jr. (2010), Binary integer programming formulations for scheduling in market-driven foundries, Computers & Industrial Engineering, 59, 3, 425, doi.org/10.1016/j.cie.2010.05.015 ; B. de Ugarte (2009), Development and integration of a reactive real-time decision support system in the aluminum industry, Engineering Applications of Artificial Intelligence, 22, 6, 897, doi.org/10.1016/j.engappai.2008.10.021 ; Voorhis T. (2001), Developing software for generating pouring schedules for steel foundries, Computers & Industrial Engineering, 39, 3-4, 219, doi.org/10.1016/S0360-8352(01)00003-1

DOI

10.2478/v10266-012-0039-4

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