Supply chain collaboration for improved forecast accuracy of promotional sales
dc.contributor.author | Ramanathan, Usha | en_GB |
dc.date.accessioned | 2012-11-06T08:49:49Z | en |
dc.date.available | 2012-11-06T08:49:49Z | en |
dc.date.issued | 2012 | en |
dc.identifier.citation | Ramanathan, U. (2012) 'Supply chain collaboration for improved forecast accuracy of promotional sales' International Journal of Operations & Production 32 (6):676-696 Management | en_GB |
dc.identifier.issn | 0144-3577 | en |
dc.identifier.doi | 10.1108/01443571211230925 | en |
dc.identifier.uri | http://hdl.handle.net/10547/251122 | en |
dc.description.abstract | In general, demand for functional products is dependent on a range of promotions offered in various retail outlets. To improve promotional sales many retailers collaborate with manufacturers for planning, forecasting and replenishment. The purpose of this paper is to hypothesize that collaborative forecasting will improve the forecast accuracy if all the partners can relate their demand forecast with underlying demand factors. | |
dc.language.iso | en | en |
dc.publisher | Emerald | en_GB |
dc.relation.url | http://www.emeraldinsight.com/10.1108/01443571211230925 | en_GB |
dc.subject | collaboration | en_GB |
dc.subject | decision making | en_GB |
dc.subject | information exchange | en_GB |
dc.subject | reference demand model | en_GB |
dc.subject | sales demand | en_GB |
dc.title | Supply chain collaboration for improved forecast accuracy of promotional sales | en |
dc.type | Article | en |
dc.identifier.journal | International Journal of Operations & Production Management | en_GB |
html.description.abstract | In general, demand for functional products is dependent on a range of promotions offered in various retail outlets. To improve promotional sales many retailers collaborate with manufacturers for planning, forecasting and replenishment. The purpose of this paper is to hypothesize that collaborative forecasting will improve the forecast accuracy if all the partners can relate their demand forecast with underlying demand factors. |