2020
DOI: 10.1504/ijscim.2020.107282
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Systematic literature review and research gap issues on third party logistics operators selecting WMS for efficient operations for customers

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Cited by 8 publications
(5 citation statements)
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“…The reporting and waste management systems related academic studies research area has been shown an increase in publication numbers basically just for the last year or so. This finding certainly indicates the lack of work and clear research gap in the topic area and is well in line with a similar gap found by the previously mentioned studies in the warehouse management systems sector [38]. The found 28 studies had 93 unique authors, from which only Christensen contributed more than one publication.…”
Section: Resultssupporting
confidence: 87%
See 1 more Smart Citation
“…The reporting and waste management systems related academic studies research area has been shown an increase in publication numbers basically just for the last year or so. This finding certainly indicates the lack of work and clear research gap in the topic area and is well in line with a similar gap found by the previously mentioned studies in the warehouse management systems sector [38]. The found 28 studies had 93 unique authors, from which only Christensen contributed more than one publication.…”
Section: Resultssupporting
confidence: 87%
“…The aim of this research was to build on the path of previous research [36][37][38] painted by indicating research gaps in clearly a large global emission contributing sector. If so obvious area as logistics has shortages of literature in sustainability reporting, what is the case in the waste management sector itself?…”
Section: Introductionmentioning
confidence: 99%
“…The parameterisation of each of these algorithms, such as the degree of autoregression in auto.arima, hidden layers in nnetar or smoothing parameters in ets, directly impacts the results of the forecasts. The data for prediction are drawn from the warehouse management system (WMS) and transport management system (TMS), systems that are generally already implemented in logistics companies [82][83][84], which, to some extent, demonstrates the adaptability of the proposed tool to a wider group of companies. Data gathered from WMS and TMS systems are crucial for forecasting.…”
Section: Description Of the Predictive Algorithmmentioning
confidence: 99%
“…Various jobs might be carried out within the same warehouse at various levels (Minashkina and Happonen, 2020). Outstanding operational performance at the warehouse typically implies that a company can operate more effectively than its rivals (Shah and Khanzode, 2017;Sharma and Shah, 2015).…”
Section: B Warehouse Management Activity and Bpmentioning
confidence: 99%