Publication:
A multi-criteria decision analysis to include environmental, social, and cultural issues in the sustainable aggregate production plans

dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorRasmi, Seyyed Amir Babak
dc.contributor.kuauthorTürkay, Metin
dc.contributor.kuauthorKazan, Cem
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T13:12:57Z
dc.date.issued2019
dc.description.abstractAggregate production planning (APP) that is an important concept of supply chain management (SCM), is one of the tools to determine production rates, inventory levels, and workforce requirements for fulfilling customer demands in a multi-period setting. Traditional APP models employ a single objective function to optimize monetary issues only. In this paper, we present a multi-objective APP model to analyze economic, social, environmental, and cultural pillars inclusively; moreover, each pillar includes several sub-pillars in the model. The resulting model includes an accurate representation of the problem with binary and continuous variables under sustainability considerations. We illustrate the effectiveness of the model in an appliance manufacturer and solve the problem using an exact solution method for multi-objective mixed-integer linear programs (MOMILP). We find a large number of the non-dominated (ND) points in the objective function space and analyze their trade-offs systematically. We show how this framework supports multiple criteria decision making process in the APP problems in the presence of sustainability considerations. Our approach provides a comprehensive analysis of the ND points of sustainable APP (SAPP) problems, and hence, the trade-offs of objective functions are insightful to the decision makers.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipIBM SUR award
dc.description.versionAuthor's final manuscript
dc.description.volume132
dc.identifier.doi10.1016/j.cie.2019.04.036
dc.identifier.eissn1879-0550
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR02206
dc.identifier.issn0360-8352
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85064947051
dc.identifier.urihttps://hdl.handle.net/20.500.14288/2921
dc.identifier.wos472693200026
dc.keywordsSupply chain management
dc.keywordsSustainability
dc.keywordsAggregate planning
dc.keywordsMulti-criteria decision analysis
dc.keywordsMulti-objective optimization
dc.keywordsMixed-integer linear programming
dc.language.isoeng
dc.publisherElsevier
dc.relation.grantnoNA
dc.relation.ispartofComputers and Industrial Engineering
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8817
dc.subjectComputer science, interdisciplinary applications
dc.subjectEngineering, industrial
dc.titleA multi-criteria decision analysis to include environmental, social, and cultural issues in the sustainable aggregate production plans
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorTürkay, Metin
local.contributor.kuauthorRasmi, Seyyed Amir Babak
local.contributor.kuauthorKazan, Cem
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Industrial Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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