Supporting multi-level and robust production planning and execution

Stricker, Nicole; Pfeiffer, András; Moser, Emanuel; Kádár, Botond; Lanza, Gisela; Monostori, László

doi:10.1016/j.cirp.2015.04.115

Cited by 20 publications

(5 citation statements)

References 17 publications

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“…When investigating a supply chain from structural point of view, the focus is on its elements and the connections between them. While analyzing operational aspects, the dynamic processes occurring in the supply chain are dealt with, considering unchanged structure [38][39][40]. The two kinds of complexity and robustness, i.e.…”

Section: Complexity Issues In Supply Chainsmentioning

confidence: 99%

Mitigation of the ripple effect in supply chains: Balancing the aspects of robustness, complexity and efficiency

Monostori

2021

CIRP Journal of Manufacturing Science and Technology

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Section: Complexity Issues In Supply Chainsmentioning

confidence: 99%

Mitigation of the ripple effect in supply chains: Balancing the aspects of robustness, complexity and efficiency

Monostori

2021

CIRP Journal of Manufacturing Science and Technology

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“…Comment: Industrie 4.0 allows for aggregating and synchronizing data from a highly application related granularity level (e.g., MES-, ERP-, CAD-data) to enriched smart data for multi-domain-use [76,77]. Having created such a multi-modal information access, companies will be able to develop smart expert systems that serve as a cross-domain decision support for complex decisions reaching from development over production to usage of products [78,79]. Examples for those complex decisions are an allocation of products in a global production network, an automated generation of work plans, or an efficient and effective handling of change requests generated by changing customers' requirements.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Unintended Side Effects of the Digital Transition: European Scientists’ Messages from a Proposition-Based Expert Round Table

et al. 2018

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Abstract:We present the main messages of a European Expert Round Table (ERT) on the unintended side effects (unseens) of the digital transition. Seventeen experts provided 42 propositions from ten different perspectives as input for the ERT. A full-day ERT deliberated communalities and relationships among these unseens and provided suggestions on (i) what the major unseens are; (ii) how rebound effects of digital transitioning may become the subject of overarching research; and (iii) what unseens should become subjects of transdisciplinary theory and practice processes for developing socially robust orientations. With respect to the latter, the experts suggested that the "ownership, economic value, use and access of data" and, related to this, algorithmic decision-making call for transdisciplinary processes that may provide guidelines for key stakeholder groups on how the responsible use of digital data can be developed. A cluster-based content analysis of the propositions, the discussion and inputs of the ERT, and a theoretical analysis of major changes to levels of human systems and the human-environment relationship resulted in the following greater picture: The digital transition calls for redefining economy, labor, democracy, and humanity. Artificial Intelligence (AI)-based machines may take over major domains of human labor, reorganize supply chains, induce platform economics, and reshape the participation of economic actors in the value chain. (Digital) Knowledge and data supplement capital, labor, and natural resources as major economic variables. Digital data and technologies lead to a post-fuel industry (post-) capitalism. Traditional democratic processes can be (intentionally or unintentionally) altered by digital technologies. The unseens in this field call for special attention, research and management. Related to the conditions of ontogenetic and phylogenetic development (humanity), the ubiquitous, global, increasingly AI-shaped interlinkage of almost every human personal, social, and economic activity and the exposure to indirect, digital, artificial, fragmented, electronically mediated data affect behavioral, cognitive, psycho-neuro-endocrinological processes on the level of the individual and thus social relations (of groups and families) and culture, and thereby, the essential quality and character of the human being (i.e., humanity). The findings suggest a need for a new field of research, i.e., focusing on sustainable digital societies and environments, in which the identification, analysis, and management of vulnerabilities and unseens emerging in the sociotechnical digital transition play an important role.Keywords: digital transformation; digital curtain; digital vaulting; unintended side effects (unseens), proposition-based expert round tables Scope and Goals Digitalization as a Main Driver of Human Socio-Cultural EvolutionThe digital revolution comprises one of the major transitions of human development. We may consider it to be as critical as the mastery of fire, the development of lang...

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“…From a statistical point of view, robustness is defined as the ability of a product or process to perform its function at the target level with minimal variance" Egri et al (2016) Production planning "A production plan is considered robust if it achieves an acceptable level of the selected performance indicators even when unpredictable disruptions occur during the execution of the plan." Stricker et al (2015) Production planning in multilevel production systems "Robustness describes the stability against different varying conditions. The stability, regarding a certain production system, is mostly related to preselected KPIs.…”

Section: Proposed Definition Of Robustness In Production Systemsmentioning

confidence: 99%

“…Besides defining what robustness represents in production systems, a comprehensive concept should also touch relations to adjacent terms. We consider flexibility, agility, resilience and resistance as the most important capabilities adjacent to robustness in the context of production, due to the fact that these terms are all mentioned to some extent in the relevant sample of the literature overview (Stricker et al, 2015;Luft and Besenfelder, 2014;Stricker and Lanza, 2014b). Flexibility can be described as the ability of a system to change and react efficiently to changing circumstances (Mishra, 2016;Upton, 1994;Gerwin, 1993).…”

Section: Relations Between Robustness and Adjacent System Capabilitiesmentioning

confidence: 99%

Robustness assessment in production systems

Stockmann

Winkler

Kunath

2021

JMTM

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PurposeThe 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.

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Supporting multi-level and robust production planning and execution

Cited by 20 publications

References 17 publications

Mitigation of the ripple effect in supply chains: Balancing the aspects of robustness, complexity and efficiency

Mitigation of the ripple effect in supply chains: Balancing the aspects of robustness, complexity and efficiency

Unintended Side Effects of the Digital Transition: European Scientists’ Messages from a Proposition-Based Expert Round Table

Robustness assessment in production systems

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