<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.34820/FK2/ZQ5C4Q</identifier><creators><creator><creatorName nameType="Personal">Rinjani Tri Wulandari</creatorName><givenName>Tri</givenName><familyName>ani Tri Wulandari</familyName><affiliation>Management-Ekuitas Business School</affiliation></creator><creator><creatorName nameType="Personal">Anton Mulyono Azis</creatorName><givenName>Anton</givenName><familyName>Mulyono Azis</familyName><nameIdentifier nameIdentifierScheme="ORCID">56044149700</nameIdentifier><affiliation>FEB - IBM</affiliation></creator></creators><titles><title>The Saving Matrix Method for Improving Distribution Efficiency</title></titles><publisher>Telkom University Dataverse</publisher><publicationYear>2023</publicationYear><subjects><subject>Business and Management</subject><subject>Saving matrix algorithm; Delivery routes; Load factor; Scheduling</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Anton Mulyono Azis</contributorName><givenName>Anton</givenName><familyName>Mulyono Azis</familyName><affiliation>FEB - IBM</affiliation></contributor></contributors><dates><date dateType="Submitted">2023-09-30</date><date dateType="Updated">2023-09-30</date></dates><resourceType resourceTypeGeneral="Dataset"/><relatedIdentifiers><relatedIdentifier relationType="IsCitedBy" SchemeURI="https://doi.org/" relatedIdentifierType="DOI">10.25124/jmi.v22i2.4239</relatedIdentifier></relatedIdentifiers><sizes><size>763141</size></sizes><formats><format>application/pdf</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="https://creativecommons.org/publicdomain/zero/1.0/">CC0 Waiver</rights></rightsList><descriptions><description descriptionType="Abstract">This study aims to obtain the optimal route and delivery schedule to improve distribution efficiency and increase the load factor of vehicle capacity utilisation.</description><description descriptionType="Other">The expansion of the scope of research and comparing the level of effectiveness between distribution centres in various regions can be carried out as a follow-up study.</description></descriptions><geoLocations/></resource>