Production scheduling for the furnace - casting line system

• Autorzy: Stawowy A. , Duda J.
• Języki publikacji: EN

Abstrakty

EN

The problem considered in the paper is motivated by production planning in a foundry equipped with the furnace and casting line, which provides a variety of castings in various grades of cast iron/steel for a large number of customers. The quantity of molten metal does not exceed the capacity of the furnace, the load is a particular type of metal from which the products are made in the automatic casting lines. The goal is to create the order of the melted metal loads to prevent delays in delivery of goods to customers. This problem is generally considered as a lot-sizing and scheduling problem. The paper describes two computational intelligence algorithms for simultaneous grouping and scheduling tasks and presents the results achieved by these algorithms for example test problems.

Słowa kluczowe

EN

information technology; foundry industry; production planning; scheduling

PL

technologia informacyjna; przemysł odlewniczy; planowanie produkcji; harmonogramowanie

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2013
• Tom: Vol. 13, iss. 3
• Strony: 84--87
• Opis fizyczny: Bibliogr. 6 poz., tab.

Twórcy

autor

Stawowy A.

• AGH University of Science and Technology, Faculty of Management, Gramatyka 10, 30-067 Krakow, Poland

autor

Duda J.

• AGH University of Science and Technology, Faculty of Management, Gramatyka 10, 30-067 Krakow, Poland

Bibliografia

• [1] Stawowy, A. & Duda, J. (2012). Models and algorithms for production planning and scheduling in foundries – current state and development perspectives. Archives of Foundry Engineering. 12(2), 69-74. DOI: 10.2478/v10266-012- 0039-4.
• [2] de Araujo, S.A., Arenales, M.N. & Clark, A.R. (2008). Lot sizing and furnace scheduling in small foundries. Computers & Operations Research. 35(3), 916-932. DOI: 10.1016/ j.cor.2006.05.010.
• [3] Goren, H., Tunali, S. & Jans, R. (2010). A review of applications of genetic algorithms in lot sizing. Journal of Intelligent Manufacturing. 21(4), 575-590. DOI: 10.1007/s10845-008-0205-2.
• [4] Lieckens, K. & Vandaele ,N. (2011). Differential evolution to solve the lot size problem. ERN: Production; Cost; Capital & Total Factor Productivity, Value Theory. DOI: 10.2139/ssrn.1968316.
• [5] Xu, X., Li, L., Fan, L., Zhang, J., Xuhua, Y. & Wang, W. (2013). Hybrid Discrete Differential Evolution Algorithm for Lot Splitting with Capacity Constraints in Flexible Job Scheduling. Mathematical Problems in Engineering. DOI:10.1155/2013/986218.
• [6] Feoktistov, V. (2006). Differential Evolution. In Search of Solutions. Berlin Heidelberg: Springer Verlag.