Tytuł artykułu

Synthesis of Petri Net based Model of a Discrete Event Manufacturing System for Nonlinear Process Plan

Tytuł czasopisma

Management and Production Engineering Review

Rocznik

2016

Numer

No 2

Autorzy

Słota, Adam ; Zając, Jerzy ; Marimuthu Uthayakumar

Słowa kluczowe

Wydział IV Nauk Technicznych

Wydział PAN

Wydział IV Nauk Technicznych

Wydawca

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

Data

2016

Identyfikator

DOI: 10.1515/mper-2016-0018 ; ISSN 2080-8208 ; eISSN 2082-1344

Źródło

Management and Production Engineering Review; 2016; No 2

Referencje

Madki (2015), Computer Aided Process Planning for Manufacturing in Job Type Industries - A Review of Emerging Technology and Advanced Engineering, International Journal, 5, 213. ; Zajac (2010), Distributed Manufacturing Control : Models and Software Implementations Management and Production Engineering, Review, 38. ; Kiristis (1996), A generic Petri Net Model for Dynamic Process Planning and Sequence Optimization Advances in, Engineering Software, 25, 61. ; Kumar (2003), Integration of scheduling with computer aided process planning of Materials Processing Technology, Journal, 138, 297. ; Ghasemi (2012), A Simulation Model of Production Scheduling World Applied, Sciences Journal, 18, 861. ; Li (2010), A review on Integrated Process Planning and Scheduling Manufacturing Research, Int, 5, 161. ; Chandra (2001), A New Modeling Formalism and Automata Model Generator for a Class of Discrete Event Systems Proceedings of The Arlington VA pp, American Control Conference, 4562, doi.org/10.1109/ACC.2001.945698 ; Masri (2009), Bourdeaud huy A component - based approach based on High - Level Petri Nets for modeling Distributed Control Systems on Advances in Intelligent Systems, International Journal, 2, 335. ; Kiritsis (1999), Petri net techniques for process planning cost estimation Advances in, Engineering Software, 30, 375. ; Sormaz (2003), Generation of alternative process plans in integrated manufacturing systems of Intelligent, Journal Manufacturing, 14, 509. ; Lee (2009), A Modular Petri Net based Architecture to Model Manufacturing Systems Exhibiting Resource and Timing Uncertainties Proceedings of th Annual IEEE Conference on Automation Science and CASE Bangalore India pp, Engineering, 525. ; Cyklis (2004), Models of Manufacturing System for simulation and control of, Journal Manufacturing Engineering, 3, 10. ; Zajac (2004), A Deadlock Handling Method for Automated Manufacturing Systems, CIRP Annals Manufacturing Technology, 53, 367, doi.org/10.1016/S0007-8506(07)60718-5 ; Petrucci (2005), Modularity and Petri Nets th Symposium on Programming and Systems Algiers Algeria pp, Proc Int, 7. ; Banaszak (1990), Deadlock avoidance in flexible manufacturing systems with concurrently competing process flows on Robotics and Automation, IEEE Trans, 6, 724. ; Tsinarakis (2005), Modular Petri Net based modeling analysis synthesis and performance evaluation of random topology dedicated production systems of Intelligent, Journal Manufacturing, 16, 67. ; Sachin (2012), Integration of Process Planning and Scheduling Comparison of Models Approach of Science and Research, International Journal, 215. ; Gregor (2010), Simulation and emulation of manufacturing systems behaviour Management and Production Engineering, Review, 1, 11. ; Moore (1995), Stochastic Colored Petri Net Models of Flexible Manufacturing Systems : Material Handling Systems and Machining Computers and, Industrial Engineering, 29, 1. ; Capek (2012), Production scheduling with alternative process plans of pp, European Journal Operational Research, 217.

O czasopiśmie

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.

Indeksowanie w bazach

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