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T. Tolio, M. Urgo, J. Váncza (2011)
Robust production control against propagation of disruptionsCirp Annals-manufacturing Technology, 60
N. Stricker, G. Lanza (2014)
An Approach towards Improving the Robustness of Production SystemsAdvanced Materials Research, 1018
G. Aiello, M. Enea (2001)
Fuzzy approach to the robust facility layout in uncertain production environmentsInternational Journal of Production Research, 39
A. Zangiacomi, E. Pessot, R. Fornasiero, Massimiliano Bertetti, M. Sacco (2020)
Moving towards digitalization: a multiple case study in manufacturingProduction Planning & Control, 31
H. Wiendahl, H. Elmaraghy, P. Nyhuis, M. Zäh, Hans-Hermann Wiendahl, N. Duffie, M. Brieke (2007)
Changeable Manufacturing - Classification, Design and OperationCirp Annals-manufacturing Technology, 56
D. Upton (1994)
The Management of Manufacturing FlexibilityCalifornia Management Review, 36
N. Stricker, András Pfeiffer, E. Moser, B. Kádár, G. Lanza, L. Monostori (2015)
Supporting multi-level and robust production planning and executionCirp Annals-manufacturing Technology, 64
R. Rockafellar, S. Uryasev (2000)
Optimization of conditional value-at riskJournal of Risk, 3
Max Monauni, M. Meyer, K. Windt (2013)
Evaluation Model for Robustness and Efficiency Trade-offs in Production Capacity Decisions
Andreas Lugert, A. Batz, H. Winkler (2018)
Empirical assessment of the future adequacy of value stream mapping in manufacturing industriesJournal of Manufacturing Technology Management, 29
C. Giannetti, R. Ransing (2016)
Risk based uncertainty quantification to improve robustness of manufacturing operationsComput. Ind. Eng., 101
S. Kotz, N. Johnson (2002)
Process Capability Indices—A Review, 1992–2000Journal of Quality Technology, 34
Mauricio Varas, S. Maturana, R. Pascual, Ignacio Vargas, Jorge Vera (2014)
Scheduling production for a sawmill: A robust optimization approachInternational Journal of Production Economics, 150
N. Stricker, G. Lanza (2014)
The Concept of Robustness in Production Systems and its Correlation to DisturbancesProcedia CIRP, 19
D. Gerwin (1993)
Manufacturing flexibility: a strategic perspectiveManagement Science, 39
M. Al-Fawzan, M. Haouari (2005)
A bi-objective model for robust resource-constrained project schedulingInternational Journal of Production Economics, 96
(2003)
Definition of a robustness metric for resource allocation
M. Lotfi, S. Saghiri (2018)
Disentangling Resilience, Agility and Leanness: Conceptual Development and Empirical AnalysisJournal of Manufacturing Technology Management, 29
S. Mondal, J. Maiti, P. Ray (2010)
Development of a measurement metric for manufacturing process robustnessInternational Journal of Productivity and Quality Management, 6
E. Bernardes, M. Hanna (2009)
A theoretical review of flexibility, agility and responsiveness in the operations management literature: Toward a conceptual definition of customer responsivenessInternational Journal of Operations & Production Management, 29
S. Hu, R. Webbink, J. Lee, Y. Long (2003)
Robustness evaluation for compliant assembly systemsJournal of Mechanical Design, 125
Jon Bokrantz, A. Skoogh, Torbjörn Ylipää, J. Stahre (2016)
Handling of production disturbances in the manufacturing industryJournal of Manufacturing Technology Management, 27
J. Saleh, D. Hastings, D. Newman (2001)
Extracting the essence of flexibility in system designProceedings Third NASA/DoD Workshop on Evolvable Hardware. EH-2001
Emanuele Pagone, Konstantinos Efthymiou, B. Mahoney, K. Salonitis (2019)
The effect of operational policies on production systems robustness: an aerospace case studyProcedia CIRP
S. Mondal, P. Ray, J. Maiti (2014)
Modelling robustness for manufacturing processes: a critical reviewInternational Journal of Production Research, 52
Nils Luft, Christoph Besenfelder (2014)
Flexibility based Assessment of Production System RobustnessProcedia CIRP, 19
Jian Xiong, Lining Xing, Yingwu Chen (2013)
Robust scheduling for multi-objective flexible job-shop problems with random machine breakdownsInternational Journal of Production Economics, 141
S. Himmiche, P. Marangé, A. Aubry, J. Pétin (2018)
Robust production scheduling under machine failures - A DES based evaluation approachIFAC-PapersOnLine, 51
C. Durach, Andreas Wieland, J. Machuca (2015)
Antecedents and Dimensions of Supply Chain Robustness: A Systematic Literature ReviewInternational Journal of Physical Distribution & Logistics Management, 45
Ying Li, Baosheng Ying (2009)
A performance assessment on manufacturing nodes in robust design of supply chain networks (SCNs)2009 16th International Conference on Industrial Engineering and Engineering Management
(1997)
Indicators and their use: information for decision making
R. Ransing, R. Batbooti, C. Giannetti, M. Ransing (2016)
A quality correlation algorithm for tolerance synthesis in manufacturing operationsComput. Ind. Eng., 93
O. Feyzioğlu, H. Pierreval, D. Deflandre (2005)
A simulation-based optimization approach to size manufacturing systemsInternational Journal of Production Research, 43
S. Haesaert, Petter Nilsson, C. Vasile, Rohan Thakker, Ali-akbar Agha-mohammadi, A. Ames, R. Murray (2018)
Temporal Logic Control of POMDPs via Label-based Stochastic Simulation Relations
Ruchi Mishra (2016)
A comparative evaluation of manufacturing flexibility adoption in SMEs and large firms in IndiaJournal of Manufacturing Technology Management, 27
A. Rossi (2010)
A robustness measure of the configuration of multi-purpose machinesInternational Journal of Production Research, 48
U. Schleinkofer, M. Dazer, Kevin Lucan, Oliver Mannuß, B. Bertsche, T. Bauernhansl (2019)
Framework for Robust Design and Reliability Methods to Develop Frugal Manufacturing SystemsProcedia CIRP
H. Beyer, B. Sendhoff (2007)
Robust Optimization - A Comprehensive SurveyComputer Methods in Applied Mechanics and Engineering, 196
H. Benderbal, M. Dahane, L. Benyoucef (2015)
A new robustness index formachines selection in Reconfigurable Manufacturing system2015 International Conference on Industrial Engineering and Systems Management (IESM)
Konstantinos Efthymiou, Benjamin Shelbourne, M. Greenhough, C. Turner (2018)
Evaluating manufacturing systems robustness: an aerospace case studyProcedia CIRP, 72
K. Hong (2010)
Conditional Value at Risk (CoVAR)
S. Fayezi, A. O’Loughlin, Ambika Zutshi, A. Sohal, Ajay Das (2019)
What impacts do behaviour-based and buffer-based management mechanisms have on enterprise agility?Journal of Manufacturing Technology Management
Martin Richter, H. Winkler (2018)
FLOW SHOP SCHEDULING OPTIMIZATION IN THE CHIPBOARD INDUSTRY: A SIMULATION-BASED ANALYSIS USING PRIORITY DISPATCHING RULESDEStech Transactions on Engineering and Technology Research
G. Seebacher, H. Winkler (2015)
A capability approach to evaluate supply chain flexibilityInternational Journal of Production Economics, 167
B. Roy (2005)
Paradigms and Challenges
I. Sabuncuoglu, Selcuk Goren (2009)
Hedging production schedules against uncertainty in manufacturing environment with a review of robustness and stability researchInternational Journal of Computer Integrated Manufacturing, 22
Péter Egri, Dávid Gyulai, B. Kádár, L. Monostori (2016)
Production Planning on Supply Network and Plant Levels: The RobustPlaNet ApproachERCIM News, 2016
V. Leon, Simon Wu, R. Storer (1994)
Robustness Measures and Robust Scheduling for Job Shops
The concept of robustness in manufacturing is not easy to capture and even harder to quantify. This paper elaborates an approach to assess robustness in production systems from a holistic input-throughput-output perspective using a pragmatic robustness indicator.Design/methodology/approachFirst, in order to have a precise understanding of what needs to be measured, a concept of robustness in production systems is defined based on a literature overview. Three different aspects are considered to be essential to comprehensively describe robustness in production: the deviations of input resources, of performance and of output. These aspects are translated into an aggregated indicator based on developments of production costs, order delays and output volumes. The indicator-based assessment approach is eventually applied to a flow-shop scheduling case study in the chipboard industry.FindingsThe study shows that an assessment of robustness should not solely focus on a single aspect of a production system. Instead, a holistic view is required addressing the tradeoffs that robustness must balance, such as the one between the realized performance, the corresponding resource requirements and the resulting output. Furthermore, the study emphasizes that robustness can be interpreted as a superior system capability that builds upon flexibility, agility, resilience and resistance.Research limitations/implicationsFirst, the paper is a call to further test and validate the proposed approach in industry case studies. Second, the paper suggests a modified understanding of robustness in production systems in which not only the deviation of one single variable is of interest but also the behavior of the whole system.Practical implicationsThe approach allows practitioners to pragmatically evaluate a production system’s robustness level while quickly identifying drivers, barriers and tradeoffs.Originality/valueCompared to existing assessment approaches the proposed methodology is one of the first that evaluates robustness in production systems from a holistic input-throughput-output perspective highlighting the different tradeoffs that have to be balanced. It is based upon a comprehensive concept of robustness which also links robustness to adjacent capabilities that were otherwise only treated separately.
Journal of Manufacturing Technology Management – Emerald Publishing
Published: Apr 27, 2021
Keywords: Evaluation; Production systems; Production management; Manufacturing management; Manufacturing systems; Manufacturing operations
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