{"id":{"repo_id":"missouri","oai_identifier":"oai:mospace.umsystem.edu:10355/6282"},"canonical_url":"https://search.dev.ndltd.org/etd/missouri/oai:mospace.umsystem.edu:10355/6282","repository":{"repo_id":"missouri","name":"University of Missouri","base_url":"https://mospace.umsystem.edu/oai/request"},"display":{"title":"An integrated stock assignment model for a warehouse fast picking area","abstract":"Order picking and restocking of the fast picking area have been identified as the most labor-intensive and costly activities of any distribution center. In a picker-to-item process environment, traveling is an important factor than can account up to 50% of the total labor time dedicated to order picking and restocking. Previous research has mostly focused in reducing costs from a myopic perspective, either analyzing the flows from order picking or restocking. This research integrates order picking and restocking to generate a stock keeping unit (SKU) layout that minimizes the overall walking distance traveled within an S-shaped routing policy. The assignment of SKUs to a location is formulated as a Binary Mixed Integer Linear Programming (BMILP) model which is able to solve small scale problems to optimality. In the cases where the BMILP model does not find the optimal solution, the best feasible solution falls within 20% of the lower bound. For larger scale problems, a heuristic is presented obtaining solutions in little computation time. The BMILP and the heuristic are compared to other scientific and popular methods in practice, and show that additional savings in labor can be obtained.","abstract_html":"Order picking and restocking of the fast picking area have been identified as the most labor-intensive and costly activities of any distribution center. In a picker-to-item process environment, traveling is an important factor than can account up to 50% of the total labor time dedicated to order picking and restocking. Previous research has mostly focused in reducing costs from a myopic perspective, either analyzing the flows from order picking or restocking. This research integrates order picking and restocking to generate a stock keeping unit (SKU) layout that minimizes the overall walking distance traveled within an S-shaped routing policy. The assignment of SKUs to a location is formulated as a Binary Mixed Integer Linear Programming (BMILP) model which is able to solve small scale problems to optimality. In the cases where the BMILP model does not find the optimal solution, the best feasible solution falls within 20% of the lower bound. For larger scale problems, a heuristic is presented obtaining solutions in little computation time. The BMILP and the heuristic are compared to other scientific and popular methods in practice, and show that additional savings in labor can be obtained.","abstract_has_math":false,"creators":["Treviño Martinez, Samuel Cuauhtli-Ollin"],"institution":"University of Missouri--Columbia","degree_name":"M.S.","degree_level":"Masters","degree_discipline":"Industrial and manufacturing systems engineering (MU)","degree_department":null,"school":null,"contributors":[],"advisors":["Noble, James S."],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008","date_published":"2008","updated_at":"2026-07-24T03:08:43Z","subjects":[],"languages":["eng","English"],"rights":["OpenAccess."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10355/6282","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Noble, James S."]},{"key":"dc:creator","label":"Author","values":["Treviño Martinez, Samuel Cuauhtli-Ollin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2010-03-03T17:56:22Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2010-03-03T17:56:22Z"]},{"key":"dc:date.issued","label":"Date","values":["2008"]},{"key":"dc:publisher","label":"Institution","values":["University of Missouri--Columbia"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Industrial and manufacturing systems engineering (MU)"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Missouri--Columbia"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["OpenAccess."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10355/6282"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Title from PDF of title page (University of Missouri--Columbia, viewed on Feb. 19, 2010).","The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.","Dr. James Noble, Thesis Supervisor.","Includes bibliographical references.","M.S. 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The assignment of SKUs to a location is formulated as a Binary Mixed Integer Linear Programming (BMILP) model which is able to solve small scale problems to optimality. In the cases where the BMILP model does not find the optimal solution, the best feasible solution falls within 20% of the lower bound. For larger scale problems, a heuristic is presented obtaining solutions in little computation time. The BMILP and the heuristic are compared to other scientific and popular methods in practice, and show that additional savings in labor can be obtained."]},{"key":"dc:title","label":"Title","values":["An integrated stock assignment model for a warehouse fast picking area"]}]}],"canonical_facts":{"dc:contributor.advisor":["Noble, James S."],"dc:creator":["Treviño Martinez, Samuel Cuauhtli-Ollin"],"dc:date.accessioned":["2010-03-03T17:56:22Z"],"dc:date.available":["2010-03-03T17:56:22Z"],"dc:date.issued":["2008"],"dc:description":["Title from PDF of title page (University of Missouri--Columbia, viewed on Feb. 19, 2010).","The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.","Dr. James Noble, Thesis Supervisor.","Includes bibliographical references.","M.S. 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