162,162 research outputs found
Approaches of Production Planning and Control under Industry 4.0: A Literature Review
No full textPurpose: Industry 4.0 technologies significantly impact how production is planned, scheduled, and controlled. Literature provides different classifications of the tasks and functions of production planning and control (PPC) like the German Aachen PPC model. This research aims to identify and classify current Industry 4.0 approaches for planning and controlling production processes and to reveal researched and unexplored areas of the model. It extends a reduced version that has been published previously in Procedia Computer Science (Herrmann, Tackenberg, Padoano & Gamber, 2021) by presenting and discussing its results in more detail. Design/methodology/approach: In an exploratory literature review, we review and classify 48 publications on a full-text basis with the Aachen PPC model’s tasks and functions. Two cluster analyses reveal researched and unexplored tasks and functions of the Aachen PPC model. Findings: We propose a cyber-physical PPC architecture, which incorporates current Industry 4.0 technologies, current optimization methods, optimization objectives, and disturbances relevant for realizing a PPC system in a smart factory. Current approaches mainly focus on production control using real-time information from the shop floor, part of in-house PPC. We discuss the different layers of the cyber-physical PPC architecture and propose future research directions for the unexplored tasks and functions of the Aachen PPC model. Research limitations/implications: Limitations are the strong dependence of results on search terms used and the subjective eligibility assessment and assignment of publications to the Aachen PPC model. The selection of search terms and the texts’ interpretation is based on an individual’s assessment. The revelation of unexplored tasks and functions of the Aachen PPC model might have a different outcome if the search term combination is parameterized differently. Originality/value: Using the Aachen PPC model, which holistically models PPC, the findings give comprehensive insights into the current advances of tools, methods, and challenges relevant to planning and controlling production processes under Industry 4.0
Supplementary Material, Fig._S1 – Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts
No full textSupplementary Material, Fig._S1 for Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts by Michael C. Tackenberg, Jeff R. Jones, Terry L. Page and Jacob J. Hughey in Journal of Biological Rhythms</p
Supplementary Material, Fig._S2 – Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts
No full textSupplementary Material, Fig._S2 for Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts by Michael C. Tackenberg, Jeff R. Jones, Terry L. Page and Jacob J. Hughey in Journal of Biological Rhythms</p
Supplementary Material, Fig._S5 – Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts
No full textSupplementary Material, Fig._S5 for Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts by Michael C. Tackenberg, Jeff R. Jones, Terry L. Page and Jacob J. Hughey in Journal of Biological Rhythms</p
Supplementary Material, TIPA_Supplementary_Figures_Revised – Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts
No full textSupplementary Material, TIPA_Supplementary_Figures_Revised for Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts by Michael C. Tackenberg, Jeff R. Jones, Terry L. Page and Jacob J. Hughey in Journal of Biological Rhythms</p
Supplementary Material, Fig._S4 – Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts
No full textSupplementary Material, Fig._S4 for Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts by Michael C. Tackenberg, Jeff R. Jones, Terry L. Page and Jacob J. Hughey in Journal of Biological Rhythms</p
Supplementary Material, Fig._S3 – Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts
No full textSupplementary Material, Fig._S3 for Tau-independent Phase Analysis: A Novel Method for Accurately Determining Phase Shifts by Michael C. Tackenberg, Jeff R. Jones, Terry L. Page and Jacob J. Hughey in Journal of Biological Rhythms</p
Back or neck-pain-related disability of nursing staff in hospitals, nursing homes and home care in seven countries- results from the European NEXT-Study
No full textBackground: musculoskeletal disorders are a widespread affliction in the nursing profession. Back or neck-pain-related disability of nursing staff is mainly attributed to physical and psychosocial risk factors.Objectives: to investigate which—and to what extent—physical and psychosocial risk factors are associated with neck/back-pain-related disability in nursing, and to assess the role of the type of health care institution (hospitals, nursing homes and home care institutions) within different countries in this problem.Design: cross-sectional secondary analysis of multinational data of nurses and auxiliary staff in hospitals (n=16,770), nursing homes (n=2140) and home care institutions (n=2606) in seven countries from the European NEXT-Study.Methods: multinomial logistic regression analysis with raw models for each factor and mutually adjusted with all analysed variables.Results: analysis of the pooled data revealed effort-reward imbalance as the predominant risk factor for disability in all settings (odds ratios for high disability by effort-reward ratio: hospital 5.05 [4.30–5.93]; nursing home 6.52 [4.04–10.52] and home care 6.4 [3.83–10.70] [after mutual adjustment of psychosocial and physical risk factors]). In contrast, physical exposure to lifting and bending showed only limited associations with odds ratios below 1.6; the availability and use of lifting aids was—after mutual adjustment—not or only marginally associated with disability. These findings were basically confirmed in separate analyses for all seven countries and types of institutions.Conclusions: the findings show a pronounced association between psychosocial factors and back or neck-pain-related disability. Further research should consider psychosocial factors and should take the setting where nurses work into accoun
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
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