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Logistics planning as an important element of strategic decisions in production management in the company - case study

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The authors have developed algorithms and a simulation model of the production process in the selected enterprise, and proposed variants of emergency conduct. An aggregated simulation model as well as simulation results will allow for the implementation of appropriate procedures for dealing with emergencies. Through employing these measures, audits conducted in the company will reveal how the company is prepared for various failures and what their impact is on the efficiency indicators of the process.
Rocznik
Tom
Strony
151--180
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Casimir Pulaski Radom University, Faculty of Transport, Electrical Engineering and Computer Science, Malczewskiego 29, 26-600 Radom, Poland
  • Casimir Pulaski Radom University, Faculty of Transport, Electrical Engineering and Computer Science, Malczewskiego 29, 26-600 Radom, Poland
autor
  • Casimir Pulaski Radom University, Faculty of Transport, Electrical Engineering and Computer Science, Malczewskiego 29, 26-600 Radom, Poland
  • University of Information Technology and Management in Rzeszow, Chair of Logistics and Process Engineering, Sucharskiego 2, 35-225 Rzeszow, Poland
  • Cracow University of Economics, Rakowicka 27, 31-510 Cracow, Poland
Bibliografia
  • 1. Megoze Pongha P. 2022. „Production, maintenance and quality inspection planning of a hybrid manufacturing/remanufacturing system under production rate-dependent deterioration”. International Journal of Advanced Manufacturing Technology 121(1-2): 1289-1314. DOI: 10.1007/s00170-022-09078-3.
  • 2. Coyle John J. 2002. Zarzadzanie logistyczne. Warsaw: PWE. ISBN: 978-83-208-1864-2. [In English: Logistics management].
  • 3. Łunarski Jerzy. 2012. Zarządzanie jakością w logistyce. Rzeszów: PR Publishing House. ISBN: 978-83-719-9525-5. [In English: Quality management in logistics].
  • 4. van Zyl Anneri, Olufemi Anneri. 2022. „A lot sizing model for two items with imperfect manufacturing process, time varying demand and return rates, dependent demand and different quality grades”. Journal of Remanufacturing 12(2): 227-252. DOI: 10.1007/s13243-022-00110-z.
  • 5. IATF Automotive quality management system standard (International Automotive Task Force) 16949, 1st Edition 2016.
  • 6. Fábio de Oliveira Neves, Eduardo Gomes Salgado, Luiz Alberto Beijo, Jean Marcel Sousa Lira, Luiz Henrique Marra da Silva Ribeiro. 2018. „Analysis of the quality management system for automotive industry- ISO/TS 16949 in the world”. Total Quality Management and Business Excellence 32(1-2): 153-176. ISSN: 1478-3363. DOI: 10.1080/14783363.2018.1538776.
  • 7. Steclik Tomasz, Rafał Cupek, Marek Drewniak. 2022. „Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on Automated Guided Vehicles”. Journal of Computational Science 62: 1-13(101693). DOI: 10.1016/j.jocs.2022.101693.
  • 8. Sousa Silva Cláudia, António Fernando Borges, José Magano. 2022. „Quality Control 4.0: a way to improve the quality performance and engage shop floor operators”. International Journal of Quality and Reliability Management 39(6): 1471-1487. DOI: 10.1108/IJQRM-05-2021-0138.
  • 9. Tanasic Zorana, Goran Janjić, Mirko Sokovic, Janez Kušar. 2022. „Implementation of the Lean Concept and Simulations in SMES - a Case Study”. International Journal of Simulation Modelling 21(1): 77-88. DOI: 10.2507/IJSIMM21-1-589.
  • 10. Jeyaraman P., R. Jeeva, T. Niruban Projoth, R. Rohith Renish. 2022. „Internal Logistics Optimization in the Assembly Line Using Lean Techniques”. Recent Advances in Manufacturing, Automation, Design and Energy Technologies, Proceedings from ICoFT 2020, Book Series: Lecture Notes in Mechanical Engineering Pages: 731-739. Publisher: Springer Singapore. DOI: 10.1007/978-981-16-4222-7_81.
  • 11. Zawadzki Przemysław, Krzysztof Żywicki. 2016. „Smart product design and production control for effective mass customization in the industry 4.0 concept”. Management and Production Engineering Review 7(3): 105-112. DOI: 10.1515/mper-2016-0030.
  • 12. Bergman Bo, Bengt Klefsjo. 2010. Quality: from customer needs to customer satisfaction. Publisher: Studentlitteratur Lund Sweden. ISBN: 978-91-44-05942.
  • 13. Trabucco Matteo, Pietro De Giovanni. 2021. „Achieving resilience and business sustainability during COVID-19: The role of lean supply chain practices and digitalization”. Sustainability (Switzerland) 13(22): 12369. DOI: 10.3390/su132212369.
  • 14. Torkabadi Aydin, Rene Mayorga. 2018. „Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy AHP-TOPSIS Approach”. Journal of Industrial Engineering and Management 11(1): 161. DOI: 10.3926/jiem.2528.
  • 15. Elliot B.R., G. Hill. 1999. „Total Productive Maintenance. Is it time to move on?” Logistics Solutions 1(3): 25-28.
  • 16. Stadnicka Dorota, Katarzyna Antosz. 2013. „Lean in Large Enterprises: Study Results”. World Academy of Science, Engineering and Technology. International Journal of Economics and Management Engineering 7(10): 2648-2654.
  • 17. Dobra Péter, János Jósvai. 2022. „Assembly Line Overall Equipment Effectiveness (OEE) Prediction from Human Estimation to Supervised Machine Learning”. Journal of Manufacturing and Materials Processing 6(3): 59. DOI: 10.3390/jmmp6030059.
  • 18. Prakash Joshua, Jeng Feng Chin. 2011. „A comparison of push and pull production controls under machine breakdown”. International Journal of Business Science & Applied Management (IJBSAM) 6(3): 58-70.
  • 19. Fredriksson Gustav, Hanna Larsson. 2012. „An analysis of maintenance strategies and development of a model for strategy formulation – A case study”. Master of Science Thesis in the Master Degree Programme, Production Engineering. Department of Product and Production Development, Division of Production Systems, Chalmers University of Technology. Göteborg, Sweden.
  • 20. Stadnicka D., K. Antosz, R.M. Chandima Ratnayake. 2014. „Development of an empirical formula for machine classification: Prioritization of maintenance tasks”. Safety Science 63: 34-41. DOI: 10.1016/j.ssci.2013.10.020.
  • 21. Muchiri Peter, Liliane Pintelon, Ludo Gelders, Harry Martin. 2011. „Development of maintenance function performance measurement framework and indicators”. International Journal of Production Economics 1(131): 295-302. DOI: 10.1016/j.ijpe.2010.04.039.
  • 22. Michlowicz Edward. 2002. Podstawy logistyki przemysłowej. Cracow: AGH Publisher. ISBN: 83-88408-58-5. [In English: Basics of industrial logistics].
  • 23. Szymonik Andrzej, Daniel Chudzik. 2020. Nowoczesna koncepcja logistyki produkcji. Warsaw: Difin. ISBN: 978-83-8085-214-3. [In English: Modern concept of production logistics].
  • 24. Pomietlorz-Loska M., K. Byrska-Bienias. 2016. „Methods and techniques of maintenance management – case study”. Proc. of XIXth Conference Innovation in Management and Production Engineering. II: 619-628. Zakopane, Poland.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-096e9b9f-9d32-4296-8853-e159945f2ec9
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