| dc.contributor.author |
Cheong, Michelle L.F. |
|
| dc.contributor.author |
Bhatnagar, Rohit |
|
| dc.contributor.author |
Graves, Stephen C. |
|
| dc.date.accessioned |
2004-12-14T19:39:35Z |
|
| dc.date.available |
2004-12-14T19:39:35Z |
|
| dc.date.issued |
2005-01 |
|
| dc.identifier.uri |
http://hdl.handle.net/1721.1/7451 |
|
| dc.description.abstract |
Most logistics network design models assume exogenous customer demand that is independent of the service time or level. This paper examines the benefits of segmenting demand according to lead-time sensitivity of customers. To capture lead-time sensitivity in the network design model, we use a facility grouping method to ensure that the different demand classes are satisfied on time. In addition, we perform a series of computational experiments to develop a set of managerial insights for the network design decision making process. |
en |
| dc.description.sponsorship |
Singapore-MIT Alliance (SMA) |
en |
| dc.format.extent |
504007 bytes |
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| dc.format.mimetype |
application/pdf |
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| dc.language.iso |
en |
|
| dc.relation.ispartofseries |
Innovation in Manufacturing Systems and Technology (IMST); |
|
| dc.subject |
Logistics Network Design |
en |
| dc.subject |
Demand Classes |
en |
| dc.subject |
Benefits |
en |
| dc.subject |
Insights |
en |
| dc.title |
Logistics Network Design with Differentiated Delivery Lead-Time: Benefits and Insights |
en |
| dc.type |
Article |
en |