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Institution

University of Salford

EducationSalford, Manchester, United Kingdom
About: University of Salford is a education organization based out in Salford, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13049 authors who have published 22957 publications receiving 537330 citations. The organization is also known as: University of Salford Manchester & The University of Salford Manchester.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors show that the application of both demand value and demand volume as ABC ranking criteria, with fixed service levels per class, leads to solutions that are far from cost optimal.
Abstract: ABC inventory classifications are widely used in practice, with demand value and demand volume as the most common ranking criteria. The standard approach in ABC applications is to set the same service level for all stock keeping units (SKUs) in a class. In this paper, we show (for three large real life datasets) that the application of both demand value and demand volume as ABC ranking criteria, with fixed service levels per class, leads to solutions that are far from cost optimal. An alternative criterion proposed by Zhang et al. performs much better, but is still considerably outperformed by a new criterion proposed in this paper. The new criterion is also more general in that it can take criticality of SKUs into account. Managerial insights are obtained into what class should have the highest/lowest service level, a topic that has been disputed in the literature.

129 citations

Journal ArticleDOI
TL;DR: Calibration is a process of comparing model results with field data and making the appropriate adjustments so that both results agree as mentioned in this paper, which can involve formal optimization methods or manual methods in which the modeler informally examines alternative model parameters.
Abstract: Calibration is a process of comparing model results with field data and making the appropriate adjustments so that both results agree. Calibration methods can involve formal optimization methods or manual methods in which the modeler informally examines alternative model parameters. The development of a calibration framework typically involves the following: (1) definition of the model variables, coefficients, and equations; (2) selection of an objective function to measure the quality of the calibration; (3) selection of the set of data to be used for the calibration process; and (4) selection of an optimization/manual scheme for altering the coefficient values in the direction of reducing the objective function. Hydraulic calibration usually involves the modification of system demands, fine-tuning the roughness values of pipes, altering pump operation characteristics, and adjusting other model attributes that affect simulation results, in particular those that have significant uncertainty assoc...

129 citations

Journal ArticleDOI
TL;DR: Assessing gait using the gold standard of instrumented gait analysis and designing an observational gait assessment tool based on the data is advocated.
Abstract: For physical therapists observational gait assessment is preferable to instrumented gait assessment in the clinical setting. Existing observational gait assessment tools used in clinical practice w...

129 citations

Journal ArticleDOI
TL;DR: In this paper, the authors have investigated the effects of the mixture of methyl methacrylate (MMA) with comonomers containing covalently-bound phosphorus-containing groups, including vinyl phosphonic acid and dialkyl vinyl phosphonates.

128 citations

Journal ArticleDOI
TL;DR: This article found that despite higher levels of social risk among Black Caribbean women living in the UK, they were no more likely than White British women to record above-threshold depression scores postnatally and were significantly less likely to have done so during pregnancy.

128 citations


Authors

Showing all 13134 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Michael P. Lisanti15163185150
Matthew Jones125116196909
David W. Denning11373666604
Wayne Hall111126075606
Richard Gray10980878580
Christopher E.M. Griffiths10867147675
Thomas P. Davis10772441495
Nicholas Tarrier9232625881
David M. A. Mann8833843292
Ajith Abraham86111331834
Federica Sotgia8524728751
Mike Hulme8430035436
Robert N. Foley8426031580
Richard Baker8351422970
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022139
2021880
2020888
2019842
2018781