{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/22259"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/22259","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Reengineering the order fulfillment process in supply chain networks: A multiagent information system approach","abstract":"This thesis proposes a multi-agent information system (MAIS) approach improve the order fulfillment process (OFP) in supply chain networks (SCNs). An order fulfillment process starts with receiving orders from customers and ends with delivery of finished goods. The order fulfillment process is complex because it is composed of several activities, executed by different functional entities, and is heavily interdependent between tasks, resources and agents involved in the process. A supply chain network is a network of autonomous or semi-autonomous business entities that are involved, through upstream and downstream linkages, in the different process and activities that produce goods or services to customers. As manufacturing practice is shifting toward the out-sourcing paradigm, the OFP is more likely to be executed throughout SCNs. It becomes imperative to integrate the OFP into SCNs to improve the OFP. Generalizing from the variety and complexity of SCNs, this study identifies several main types of SCN structures, and addresses OFP issues based on these SCNs.","abstract_html":"This thesis proposes a multi-agent information system (MAIS) approach improve the order fulfillment process (OFP) in supply chain networks (SCNs). An order fulfillment process starts with receiving orders from customers and ends with delivery of finished goods. The order fulfillment process is complex because it is composed of several activities, executed by different functional entities, and is heavily interdependent between tasks, resources and agents involved in the process. A supply chain network is a network of autonomous or semi-autonomous business entities that are involved, through upstream and downstream linkages, in the different process and activities that produce goods or services to customers. As manufacturing practice is shifting toward the out-sourcing paradigm, the OFP is more likely to be executed throughout SCNs. It becomes imperative to integrate the OFP into SCNs to improve the OFP. Generalizing from the variety and complexity of SCNs, this study identifies several main types of SCN structures, and addresses OFP issues based on these SCNs.","abstract_has_math":false,"creators":["Lin, Fu-Ren"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Business Administration","degree_department":null,"school":null,"contributors":["Shaw, Michael J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T13:34:11Z","date_published":"2011-05-07T13:34:11Z","updated_at":"2026-07-22T22:25:19Z","subjects":["Business Administration, General","Engineering, Industrial","Computer Science"],"languages":["eng"],"rights":["Copyright 1996 Lin, Fu-Ren"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9780591199215","AAI9712356","(UMI)AAI9712356"],"render_values":[{"text":"9780591199215","href":null,"code":true},{"text":"AAI9712356","href":null,"code":true},{"text":"(UMI)AAI9712356","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/22259","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Shaw, Michael J."]},{"key":"dc:creator","label":"Author","values":["Lin, Fu-Ren"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T13:34:11Z","10000-01-01","1996"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Business Administration"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Business Administration, General","Engineering, Industrial","Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1996 Lin, Fu-Ren"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9780591199215","AAI9712356","(UMI)AAI9712356","http://hdl.handle.net/2142/22259"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis proposes a multi-agent information system (MAIS) approach improve the order fulfillment process (OFP) in supply chain networks (SCNs). An order fulfillment process starts with receiving orders from customers and ends with delivery of finished goods. The order fulfillment process is complex because it is composed of several activities, executed by different functional entities, and is heavily interdependent between tasks, resources and agents involved in the process. A supply chain network is a network of autonomous or semi-autonomous business entities that are involved, through upstream and downstream linkages, in the different process and activities that produce goods or services to customers. As manufacturing practice is shifting toward the out-sourcing paradigm, the OFP is more likely to be executed throughout SCNs. It becomes imperative to integrate the OFP into SCNs to improve the OFP. Generalizing from the variety and complexity of SCNs, this study identifies several main types of SCN structures, and addresses OFP issues based on these SCNs.","I propose a multi-agent information system (MAIS) methodology for reengineering the OFP in SCNs. Agents in the MAIS are distributed, autonomous, self-organized, interdependent, and adaptive. These properties make it suitable for modeling the OFP in a SCN-based enterprise. The MAIS serves two purposes: (1) to model the OFP in SCNs, and (2) to evaluate OFP performance by applying the proposed strategies. The objective of reengineering the OFP is to achieve agility of the process in terms of efficiency, flexibility, robustness and adaptability. A multi-agent simulation platform, called Swarm, is enhanced and applied for modeling the MAIS, and experiments are conducted to simulate the OFP in SCNs in a multi-agent environment.","The OFP in SCNs can be improved in various dimensions, such as OFP operations, SCN structures, the information infrastructure, and other related processes. Based on the Swarm simulation platform, I model the OFP in SCNs, simulate the OFP, and then evaluate the potential OFP improvement strategies to identify useful strategies for improving the OFP. The strategies I evaluated include (1) coordinating demand management policies, (2) information sharing strategies, (3) synchronizing material and capacity availability, (4) dynamic resource allocation, and (5) the combination of various strategies. These strategies are applied to a generic SCN to understand dynamic of the OFP affected by different strategies under various business environments. The results also shed light on identifying the main effects of various strategies on OFP performance. I also evaluated OFP performance using various strategies in three different SCNs representing three typical SCNs. The insights of utilizing various strategies in different SCNs help reengineer the OFP in SCNs.","Made available in DSpace on 2011-05-07T13:34:11Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9712356.pdf: 9125383 bytes, checksum: 5d1e0cb493dbb6c366f88c979b63aa36 (MD5) Previous issue date: 1996","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:56:24Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:26:22-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["Reengineering the order fulfillment process in supply chain networks: A multiagent information system approach"]}]}],"canonical_facts":{"dc:contributor":["Shaw, Michael J."],"dc:creator":["Lin, Fu-Ren"],"dc:date":["2011-05-07T13:34:11Z","10000-01-01","1996"],"dc:description":["This thesis proposes a multi-agent information system (MAIS) approach improve the order fulfillment process (OFP) in supply chain networks (SCNs). An order fulfillment process starts with receiving orders from customers and ends with delivery of finished goods. The order fulfillment process is complex because it is composed of several activities, executed by different functional entities, and is heavily interdependent between tasks, resources and agents involved in the process. A supply chain network is a network of autonomous or semi-autonomous business entities that are involved, through upstream and downstream linkages, in the different process and activities that produce goods or services to customers. As manufacturing practice is shifting toward the out-sourcing paradigm, the OFP is more likely to be executed throughout SCNs. It becomes imperative to integrate the OFP into SCNs to improve the OFP. Generalizing from the variety and complexity of SCNs, this study identifies several main types of SCN structures, and addresses OFP issues based on these SCNs.","I propose a multi-agent information system (MAIS) methodology for reengineering the OFP in SCNs. Agents in the MAIS are distributed, autonomous, self-organized, interdependent, and adaptive. These properties make it suitable for modeling the OFP in a SCN-based enterprise. The MAIS serves two purposes: (1) to model the OFP in SCNs, and (2) to evaluate OFP performance by applying the proposed strategies. The objective of reengineering the OFP is to achieve agility of the process in terms of efficiency, flexibility, robustness and adaptability. A multi-agent simulation platform, called Swarm, is enhanced and applied for modeling the MAIS, and experiments are conducted to simulate the OFP in SCNs in a multi-agent environment.","The OFP in SCNs can be improved in various dimensions, such as OFP operations, SCN structures, the information infrastructure, and other related processes. Based on the Swarm simulation platform, I model the OFP in SCNs, simulate the OFP, and then evaluate the potential OFP improvement strategies to identify useful strategies for improving the OFP. The strategies I evaluated include (1) coordinating demand management policies, (2) information sharing strategies, (3) synchronizing material and capacity availability, (4) dynamic resource allocation, and (5) the combination of various strategies. These strategies are applied to a generic SCN to understand dynamic of the OFP affected by different strategies under various business environments. The results also shed light on identifying the main effects of various strategies on OFP performance. I also evaluated OFP performance using various strategies in three different SCNs representing three typical SCNs. The insights of utilizing various strategies in different SCNs help reengineer the OFP in SCNs.","Made available in DSpace on 2011-05-07T13:34:11Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9712356.pdf: 9125383 bytes, checksum: 5d1e0cb493dbb6c366f88c979b63aa36 (MD5) Previous issue date: 1996","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:56:24Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:26:22-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"],"dc:identifier":["9780591199215","AAI9712356","(UMI)AAI9712356","http://hdl.handle.net/2142/22259"],"dc:language":["eng"],"dc:rights":["Copyright 1996 Lin, Fu-Ren"],"dc:subject":["Business Administration, General","Engineering, Industrial","Computer Science"],"dc:title":["Reengineering the order fulfillment process in supply chain networks: A multiagent information system approach"],"dc:type":["text"],"thesis:degree_discipline":["Business Administration"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:19Z"}