Title

Evolutionary Algorithm for Minmax Regret Flow-Shop Problem

Journal title

Management and Production Engineering Review

Yearbook

2015

Issue

No 3

Authors

Ćwik, Michał ; Józefczyk, Jerzy

Keywords

Wydział IV Nauk Technicznych

Divisions of PAS

Wydział IV Nauk Technicznych

Publisher

Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management

Date

2015[2015.01.01 AD - 2015.12.31 AD]

Identifier

DOI: 10.1515/mper-2015-0021

Source

Management and Production Engineering Review; 2015; No 3

References

Nawaz (1983), A heuristic algorithm for the m - machine n - job flow - shop sequencing problem, The International Journal of Management Science, 11. ; Aissi (2009), Min - max and min - max regret versions of combinatorial optimization problems survey, European Journal of Operational Research, 197. ; Kasperski (2008), - approximation algorithm for interval data minmax regret sequencing problems with the total flow time criterion, Operations Research Letters, 42. ; Averbakh (2000), Minimax regret solutions for minimax optimization problems with uncertainty, European Journal of Operational Research, 27, 57. ; Lebedev (2006), Complexity of minimizing the total flow time with interval data and minmax regret criterion, Discrete Applied Mathematics, 154. ; Dutt (2013), Handling of Uncertainty - A Survey of Scientific and Research Publications, International Journal, 3. ; Conde (2010), - approximation for minmax regret problems via a mid - point scenario optimal solution, Operations Research Letters, 38, 326, doi.org/10.1016/j.orl.2010.03.002 ; Averbakh (2006), The minmax regret permutation flowshop problem with two jobs, Operations Research Letters, 69. ; Siepak (2014), Solution algorithms for unrelated machines minmax regret scheduling problem with interval processing times and the total flow time criterion, Annals of Operations Research, 222. ; Garey (1976), The complexity of flowshop and jobshop scheduling, Mathematics of Operations Research, 1.

Aims and scope

MISSION STATEMENT Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, manage- ment of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simu- lation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management. The main purpose of Management and Production Engineering Review is to publish the results of cutting- edge research advancing the concepts, theories and implementation of novel solutions in modern manufacturing. Papers presenting original research results related to production engineering and management education are also welcomed. We welcome original papers written in English. The Journal also publishes technical briefs, discussions of previously published papers, book reviews, and editorials. Letters to the Editor-in-Chief are highly encouraged.
SUBMISSION Papers for submission should be prepared according to the Authors Instructions available at: www.journals.pan.pl/mper
SUBSCRIPTION Only subscription guarantees receiving this journal. Subscription orders stating the period of time, along with the subscriber’s name and address should be sent directly to biuro@ptzp.org.pl. Back issues of all previously published volumes are available on request. Subscription price for 2023, Volume 14, including postage and handling, is 240 PLN.

Abstracting & Indexing

Index Copernicus
Web of Science - Clarivate (ESCI)
Scopus - Elsevier
SCIMAGO:
(CiteScore 2020 - 2.5
SJR 2020 - 0.332
SNIP 2020 - 1.061)