男1絲氏41 信果程博士(英文))Date of submission: July 6小 2022
Depal'1menlOf

Mechanical

S1Ⅱde"11D Nulnber

D199102Englne飢in号

SuperYJSOISESSAM、PP11C田11's name

Pfof. Naokiuchiyama

1くAOUD

Prof. Kaiji sato

M011A八1八IED

MOUHRAN

Abstract (Doct0日
Title ofThesis

Robust and optimal Design ofsustainable closed LOOP supply chain considel'inσ
E・commel'ce and Envil'onmenta11mpacts

In recent yeω'S, govenln〕ents have been applylng presS1Ⅱ'e and refHⅡng leglslalion toencourage organizations and a broad sector of custon1創'S {o adopl green and sustainable
Practices in theh'1)roduction and sa'vice activities.1his is {o handle d〕e populalion 町'owd},
Which requh'es m飢'e produc{s to be manufacuu'ed, resultinσ in the limited availability of rawn)aterials and an il〕磁'ease in the rateof p011Ution en)issions.11〕e depletion of nal、U'al res01Ⅱ'ces

and a]e de即'adalion of the ecosystel〕〕 have led lnany counu'ies lo adopt dosed・10OP supply
aclivities in bou) tl〕eir industrial and sa'vice sectors. with tl〕e wideS即・ead use of lnterneltecl〕n010gy, these aspects n)otlvate the lncorporation of e‑con〕merce ＼N11h the dassical
Closed・10OP supply chaln.

へ10st real‑1ife optilnization problelnS 雛'e subjecled to uncertainty, and the robust
Optilnization aP御'oach is one of d〕e efficient techniques to deal with uncertain
Optilnization problelns. supply cl〕ain optin〕ization problelnS 砥'e l〕ighly sensitive todata perturbations n〕ostly due to the inappropriate esti11'1ation of the probleln'S
P砥'alneters and the l〕igl〕1y dynamic enviromnent.1n tl〕is dissertalion,、ve propose anadaptable robust optilnization lnodel for thedual・channel dosed・10OP supply chain and presen1 いVo counla'part nlodels; 1hefirstInodelis an N11Lp lnodel based on the adiustable box uncertainty set,圦,、hHe the second
robust lnodelis a lnixed hlteger nonline雛' progralnn〕ing (N11NLP)1nodel based on lhe
adjustable e11ipsoida1 山〕certainty sel.＼Ne provide a novel approach for considerino
multiple uncertainly sels in d〕e objective function, that provide aexibility and conlr01
risk based on tl〕e pref磁'ences of the decision・n〕aka'S、 1his study ailns at minilnizil〕σthe total cost of the dual・channel dosed・10OP supply chain nel＼vorlく Considering
Uncertain P1Ⅱ'chasing, U'ansportation, fixed, and processes costs, in addilion toUnC田'tain customer delnand.1nlensive colnputational experin〕entS 鈿'e conducted on lheい¥o robust n]̲odels using GAMs softW雛'e. Robust solutionS 雛'e obtained, andSensilivily anab唱is is conducted on both lnodels considerin0 10% perturba{ion of theUncertain parametefS 雛'ound tl]eir nolninal values as 、入ノeⅡ as a probability oum'antee for
not violating u〕e consu'ah11S.

In this study, X 'e propose a robust bi・objective optin〕ization lnodel of lhe
即'eenclosed・10OP supply chain neいVor1く Considering presorting, het耽'ogeneoustransportalion systeln, and C雛'bon en〕issions.1he proposed n〕odel'is uncertain
bi・objective N11Lp lnodel ain)s at lnaxil〕〕izing d〕e profit and lnininlizing carbon
elnissions considering unca'tain cost, se11ing price, and cm'bon elnissions.
Robust oplilnization approach is ilnplelnel〕ted usinσ"1nta'val+ pob^hedral" uncertainly
Set to n〕ode11he robust counta'part ofthe bi・objective n]odel.

Ihe robust pareto optilnal soluti01〕s m'e obtained using lexicographic weighted
Ichebycheffoptilnization approach ofthe bi・objective lnodel.
Intensive colnputational experilnents are conducted, and robust P雛'eto optin〕al n'ont is
Obtained with d〕e probability gU砥'antee ofdle c01)straints that contains uncertain paralneters
are not violated (constraints satisfacuon).

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