Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017. === Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Ope...

Full description

Bibliographic Details
Main Author: Markowicz, Federico
Other Authors: Stephen Graves and Stanley Gershwin.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2017
Subjects:
Online Access:http://hdl.handle.net/1721.1/111492
id ndltd-MIT-oai-dspace.mit.edu-1721.1-111492
record_format oai_dc
spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-1114922019-05-02T15:35:49Z Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment Markowicz, Federico Stephen Graves and Stanley Gershwin. Leaders for Global Operations Program. Sloan School of Management. Massachusetts Institute of Technology. Department of Mechanical Engineering. Leaders for Global Operations Program. Sloan School of Management. Mechanical Engineering. Leaders for Global Operations Program. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (page 73). This thesis provides a deep mathematical analysis of the diverse alternatives for routing models considering an Omni-channel supply chain. The natural evolution of supply chains from traditional brick-and-mortar stores to an omni-channel supply chain, encompassing and merging e-commerce together with a multi-channel concept, allows businesses to reach new levels of operational efficiency by leveraging inventory closer to the customer and making decisions on the fly on how to better and more cheaply provide a service/product to the final consumer. The flexibility and benefits, unfortunately, do not come without a certain dose of complexity and further development of the supply chain tactical implementation and systems. New alternatives to fulfill customer orders are available, which require greater screening among the different alternatives. An effective routing model becomes essential to make sure these alternatives are properly considered in order to satisfy both the consumer and retailer objectives, such as on-time delivery of orders, retail stores' service levels, and fulfillment costs. by Federico Markowicz. M.B.A. S.M. 2017-09-15T15:36:33Z 2017-09-15T15:36:33Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111492 1003322576 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 73 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
spellingShingle Sloan School of Management.
Mechanical Engineering.
Leaders for Global Operations Program.
Markowicz, Federico
Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
description Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2017. === Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017. === Cataloged from PDF version of thesis. === Includes bibliographical references (page 73). === This thesis provides a deep mathematical analysis of the diverse alternatives for routing models considering an Omni-channel supply chain. The natural evolution of supply chains from traditional brick-and-mortar stores to an omni-channel supply chain, encompassing and merging e-commerce together with a multi-channel concept, allows businesses to reach new levels of operational efficiency by leveraging inventory closer to the customer and making decisions on the fly on how to better and more cheaply provide a service/product to the final consumer. The flexibility and benefits, unfortunately, do not come without a certain dose of complexity and further development of the supply chain tactical implementation and systems. New alternatives to fulfill customer orders are available, which require greater screening among the different alternatives. An effective routing model becomes essential to make sure these alternatives are properly considered in order to satisfy both the consumer and retailer objectives, such as on-time delivery of orders, retail stores' service levels, and fulfillment costs. === by Federico Markowicz. === M.B.A. === S.M.
author2 Stephen Graves and Stanley Gershwin.
author_facet Stephen Graves and Stanley Gershwin.
Markowicz, Federico
author Markowicz, Federico
author_sort Markowicz, Federico
title Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
title_short Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
title_full Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
title_fullStr Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
title_full_unstemmed Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
title_sort optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment
publisher Massachusetts Institute of Technology
publishDate 2017
url http://hdl.handle.net/1721.1/111492
work_keys_str_mv AT markowiczfederico optimizingorderroutingdecisionsleveragingomnichannelsupplychainfulfillment
_version_ 1719024147220135936