The paper analyzes the effect of the use of business analytics on supply chain performance. It investigates the changing information processing needs at different supply chain process maturity levels. The effects of analytics in each Supply Chain Operations Reference areas (Plan, Source, Make and Deliver) are analyzed with various statistical techniques. A worldwide sample of 788 companies from different industries is used. The results indicate the changing impact of business analytics use on performance, meaning that companies on different maturity levels should focus on different areas. The theoretical and practical implications of these findings are thoroughly discussed.
COBISS.SI-ID: 20566502
A method for assessing the optimal stock size for the expected order size for a single-period one-dimensional cutting stock problem is proposed. The stock size is optimal when the expected total costs of trim loss, warehousing, and non-fulfilment are minimum. The proposed method can help company choose the appropriate level of stock to minimize their total costs.
COBISS.SI-ID: 19553254
The purpose of the paper is to focus on assessing changes in transport operations due to the use of the quality information GPS provides and the link between these changes and organizational benefits.
COBISS.SI-ID: 21056230