Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study
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 facili...
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sg-smu-ink.sis_research-21762021-06-03T05:50:09Z Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study CHEONG, Michelle Lee Fong Bhatnagar, Rohit Graves, Stephen C. 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. 2004-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1177 https://ink.library.smu.edu.sg/context/sis_research/article/2176/viewcontent/Logistics_Network_Design_with_Differentiated_Deliv.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Logistics Network Design Demand Classes Benefits Insights Artificial Intelligence and Robotics Operations and Supply Chain Management Operations Research, Systems Engineering and Industrial Engineering |
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Logistics Network Design Demand Classes Benefits Insights Artificial Intelligence and Robotics Operations and Supply Chain Management Operations Research, Systems Engineering and Industrial Engineering CHEONG, Michelle Lee Fong Bhatnagar, Rohit Graves, Stephen C. Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study |
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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. |
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text |
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CHEONG, Michelle Lee Fong Bhatnagar, Rohit Graves, Stephen C. |
author_facet |
CHEONG, Michelle Lee Fong Bhatnagar, Rohit Graves, Stephen C. |
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CHEONG, Michelle Lee Fong |
title |
Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study |
title_short |
Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study |
title_full |
Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study |
title_fullStr |
Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study |
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Logistics Network Design with Differentiated Delivery Lead Time: A Chemical Industry Case Study |
title_sort |
logistics network design with differentiated delivery lead time: a chemical industry case study |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/sis_research/1177 https://ink.library.smu.edu.sg/context/sis_research/article/2176/viewcontent/Logistics_Network_Design_with_Differentiated_Deliv.pdf |
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