Details

Title

Off-Line and Dynamic Production Scheduling – A Comparative Case Study

Journal title

Management and Production Engineering Review

Yearbook

2016

Issue

No 1

Authors

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

2016

Identifier

DOI: 10.1515/mper-2016-0003

Source

Management and Production Engineering Review; 2016; No 1

References

Al (2011), Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm, Int J Prod Econ, 132. ; Demir (2014), sleyen An effective genetic algorithm for flexible job - shop scheduling with overlapping in operations, Int J Prod Res, 52. ; Defersha (2012), Mathematical model and parallel genetic algorithm for hybrid flexible flowshop lot streaming problem, Int J Adv Manuf Tech, 62, 249, doi.org/10.1007/s00170-011-3798-0 ; Rossi (2014), Flexible job shop scheduling with sequencedependent setup and transportation times by ant colony with reinforced pheromone relationships, Int J Prod Econ, 152. ; Lou (2012), Multiagent - based proactive - reactive scheduling for a job shop, Int J Adv Manuf Tech, 59. ; Calleja (2014), A dispatching algorithm for flexible job - shop scheduling with transfer batches : an industrial application, Prod Plan Control, 25, 93, doi.org/10.1080/09537287.2013.782846 ; Aized (2009), Modelling and performance maximization of an integrated automated guided vehicle system using coloured Petri net and response surface methods, Comput Ind Eng, 57. ; Li (2014), A discrete artificial bee colony algorithm for the multi - objective flexible job - shop scheduling problem with maintenance activities, Appl Math Model, 38, 1111, doi.org/10.1016/j.apm.2013.07.038 ; Sycara (1998), Multiagent systems, AI Magazine, 19, 79. ; Aytug (2005), Executing production schedules in the face of uncertainties A review and some future directions, Eur J Oper Res, 161. ; Gröflin (2011), The flexible blocking job shop with transfer and set - up times, J Comb Optim, 22, 121, doi.org/10.1007/s10878-009-9278-x ; Rohaninejad (2015), Simultaneous lot - sizing and scheduling in flexible job shop problems, Int J Adv Manuf Tech, 78, 1, doi.org/10.1007/s00170-014-6598-5 ; Liu (2007), Ramaswamy A Complete Multiagent Framework for Robust and Adaptable Dynamic Job Shop Scheduling Man Part : Applications and Reviews, IEEE Trans Syst Cybern, 37, 904. ; Leitão (2009), Agent - based distributed manufacturing control : A state - of - the - art survey, Eng Appl Artif Intel, 22, 979, doi.org/10.1016/j.engappai.2008.09.005 ; He (2013), Scheduling flexible job shop problem subject to machine breakdown with route changing and right - shift strategies, Int J Adv Manuf Tech, 66, 501, doi.org/10.1007/s00170-012-4344-4 ; Leitão (2006), ADACOR A holonic architecture for agile and adaptive manufacturing control, Comput Ind, 57. ; Hasan (2011), Genetic algorithm for job - shop scheduling with machine unavailability and breakdowns, Int J Prod Res, 49. ; Demir (2013), sleyen Evaluation of mathematical models for flexible job - shop scheduling problems, Appl Math Model, 37, 977, doi.org/10.1016/j.apm.2012.03.020 ; Ouelhadj (2009), A survey of dynamic scheduling in manufacturing systems, Sched, 12, 417, doi.org/10.1007/s10951-008-0090-8 ; Watson (2003), Problem difficulty for tabu search in job - shop scheduling, Artif Intell, 143. ; Nouiri (2015), An effective and distributed particle swarm optimization algorithm for flexible job - shop scheduling problem published online, J Intell Manuf, 1, doi.org/10.1007/s10845-015-1039-3] ; Mousakhani (2013), Sequence - dependent setup time flexible job shop scheduling problem to minimise total tardiness, Int J Prod Res, 51, 3476, doi.org/10.1080/00207543.2012.746480 ; Wang (2010), An effective heuristic for flexible job - shop scheduling problem with maintenance activities, Comput Ind Eng, 59.

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 the Editorial Office. Back issues of all previously published volumes are available on request. Subscription price for 2021, Volume 12, including postage and handling, is 200 PLN.

Open Access Policy

The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.

Abstracting & Indexing

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


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