Lean and Green Supply Chain Management: Optimization Models and Algorithms

288 Pages·2019·7.46 MB·English

by  Turan Paksoy

International Series in
Operations Research & Management Science
Turan Paksoy · Gerhard-Wilhelm Weber
Sandra Huber Editors
Lean and Green
Supply Chain
Management
Optimization Models and Algorithms
International Series in Operations Research
& Management Science
Volume273
SeriesEditor
CamilleC.Price
StephenF.AustinStateUniversity,TX,USA
AssociateSeriesEditor
JoeZhu
WorcesterPolytechnicInstitute,MA,USA
FoundingSeriesEditor
FrederickS.Hillier
StanfordUniversity,CA,USA
Moreinformationaboutthisseriesathttp://www.springer.com/series/6161
Turan Paksoy • Gerhard-Wilhelm Weber (cid:129)
Sandra Huber
Editors
Lean and Green Supply
Chain Management
Optimization Models and Algorithms
123
Editors
TuranPaksoy Gerhard-WilhelmWeber
DepartmentofIndustrialEngineering PoznanUniversityofTechnology
KonyaTechnicalUniversity Poznan,Poland
Konya,Turkey
SandraHuber
DepartmentofLogisticsManagement
HelmutSchmidtUniversity
Hamburg,Germany
ISSN0884-8289 ISSN2214-7934 (electronic)
InternationalSeriesinOperationsResearch&ManagementScience
ISBN978-3-319-97510-8 ISBN978-3-319-97511-5 (eBook)
https://doi.org/10.1007/978-3-319-97511-5
LibraryofCongressControlNumber:2018959616
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Foreword
Recent studies demonstrate that (Garza-Reyes, J. A., et al. 2018,IJPE, 200, 170–
180) there is a strong relationship between lean and green, and the integrated
use of lean and green tools and methods creates a synergy in organizations and
increasesbothoperationalandenvironmentalperformancesimultaneously.Thisis
not surprising! Because waste reduction (materials, water, energy etc.), which is
one of the main objectives of lean philosophy, is also directly related to green
philosophy.
Leanandgreenmanufacturingphilosophyandtechniquesfacilitatecompaniesto
improvetheirbusinessperformanceintermsofreducingmanufacturingleadtimes
andcostsandimprovingonproductqualityandon-timedeliveryperformancewhile
becominggreenerbyminimizingmaterialusageandwasteandapplyingrecycling
andreuse.
Thus,whileaimingateliminationofwastes,bothleanmanufacturingandgreen
manufacturing work for a common purpose: sustainability. Lean approach pro-
posestoeliminatethetraditional“sevendeadlywastes”(transportation,inventory,
motion,waits,overproduction,overprocess,anddefects)foramoreefficientwork-
place and achieving operational excellence. Meanwhile, green approach suggests
elimination of environmentalwastes, minimization of usage of earth sources, and
reuseandrecycleofproductsandmaterials.
In otherwords,leanandgreenSCM supportssustainabilityin accordancewith
thetriplebottomlineapproach:
1. Economicimpact;byincreasingproductivity
2. Socialimpact;bygeneratinghuman-centricworkplaces
3. Environmentalimpact;byeliminatingwastesandreducingmaterialusage.
Inthisbook,LeanandGreenSupplyChainManagement:OptimizationModels
andAlgorithms,Iandmycolleaguestrytodrawacomprehensivepictureofleanand
greensupplychainmanagement.Thepurposeofthisbookistodeeplyinquirethe
synergybetweenleanandgreenissuesandcomprehensivelyexposetheemerging-
cuttingedgeissuesrelatedtooriginal,innovative,andnovelreal-worldapplications
of the emerging area of the lean and green supply chain management. The book
v
vi Foreword
chaptersfocusonnewdevelopmentandcontributionofcurrentresearchtothebody
oftheknowledgeintheareasofleanandgreensupplychainmanagement,supported
bymodeling,operationalresearch,andoptimization.Allchaptersinthebookcanbe
groupedunderfourmainparts:LeanandGreenSupplyChainOptimization,Lean
andGreenSupplierSelection,LeanandGreenVehicle/FleetManagement,andLean
andGreenOperationsManagement.
Thecontributingauthorsofthisbookareexperiencedscientistsandpractitioners
from different countries; they use and further refine the model-based methods of
operationsresearch,algorithms,andheuristics.
To all the authors of these valuable chapters, I extend my appreciation and
gratitudeforhavingsharedtheirdevotion,knowledge,andvisionwiththeacademic
communityandmankind.Ialsowouldliketothankalltherefereesfortheirvaluable
timeandgreateffortinreviewingallthebookchaptershere.
I am very thankful to Springer and its publishing team. I cordially very much
appreciate the supportof Christian Rauscher, Senior Editor, Business, Operations
Research&InformationSystems/Springer,forhavingprovidedthechanceforthis
wonderfulwork.Also,Iwanttoexpressmyspecialthanktomypreciouscolleague
andcoeditorProfessorGerhardWilhelmWeber—Willi—forhismarveloussupport
andencouragementinmakingthisbookprojectverysuccessful.Lastbutnotleast,
I would like to thank my outstanding colleague and my coeditor Sandra Huber
for her rigorous and disciplined work here. I express my gratitude to them for
having ensured a premium book of a high standard academic, applied, and social
importance.
Now, I wish all of you a lot of joy in readingthis interesting book,and I hope
thatagreatbenefitisgainedfromitbothpersonallyandglobally!
KonyaTechnicalUniversity,Turkey TuranPaksoy
June2018
Preface
The dynamics of supply chain management (SCM) has changed and accelerated
over the years; new paradigms have been added into SCM to respond to changes
based on the increasing economic, environmental, and social concerns and pres-
sures.Intoday’sglobalandcompetitiveenvironment,leanandgreenpracticeshave
becomemostimportantfactorsto enhancethecompanies’performance.Leanand
green manufacturing philosophy and techniques facilitate companies to improve
theirbusinessperformanceintermsofreducingmanufacturingleadtimesandcosts
and to improve on-time delivery and product quality, while becoming greener by
minimizing material usage and waste and applying recycling and reuse. All these
leanandgreenactivitiesincreaseproductivity,reducecarbonfootprint,andenhance
customersatisfaction,whichinturnmakecompaniessustainableandcompetitive.
In this context, our book Lean and Green Supply Chain Management: Opti-
mization Models and Algorithms aims to give the reader some of the most recent
researchdealing with lean andgreen supplychain management.Furthermore,the
book presents a comprehensive reference resource, including novel optimization
algorithmstoachieveleanandgreensupplychainsthatenableandenhancebusiness
performanceaswellasenvironmentalperformancesimultaneously.
Our book includes contributions and reviews of the latest developments in
optimization and mathematical models, exact, approximate, and hybrid methods,
andtheirapplicationsforleanandgreensupplychains,including:
(cid:129) A detailed literature surveys on models and algorithmsdevelopedfor lean and
greensupplychains
(cid:129) Case studies and experimental applications on lean and green supply chain
networkdesignandmodeling
(cid:129) Supply chainnetwork design and optimizationconsideringcustomer behaviors
andenvironment
(cid:129) Sustainablesupplychainmanagementconsideringlean,green,agile/responsive
andresilientnetworks
(cid:129) Applicationsoffuzzy setstheoryandextensionsinleanandgreensupplychain
management
vii
viii Preface
(cid:129) Multi-criteriadecisionmakingforleanandgreensupplychainmanagement
(cid:129) Riskmanagementinleanandgreensupplychains
(cid:129) Supplierselectionwithleanandgreenconsiderations
(cid:129) Leanandgreenvehicle/fleetmanagement
(cid:129) Leanandgreenoperationsmanagement
The book gathers 9 chapters, which are prepared by experts from various
countries of the world on the lean and green supply chain management and on
its theory, methods, and application. Short descriptions of all chapters are given
subsequently,withinsomegroupingbysubjects.
Lean andGreen SupplyChainOptimization
Chapter1,namedas“LeanandGreenSupplyChainManagement:AComprehen-
siveReview,”byBatuhanErenEngin,MarenMartens,andTuranPaksoy,focuses
onacomprehensiveliteraturesurveyonleanandgreensupplychainmanagement.
Intotal,41articles,publishedbetween2000and2017,areanalyzedbytheauthors.
One of the main goals is to classify the existing literature and analyze future
directions in this research area. First, lean and green practices are described for
importantcontributions.Second,measuresandindicatorsareestablishedtoevaluate
theimpactofleanandgreenmethodsontheoverallsupplychainperformance.
Chapter 2, entitled “A New Model for Lean and Green Closed-Loop Supply
Chain Optimization,” by Turan Paksoy, Ahmet Çalik, Alexander Kumpf, and
Gerhard-Wilhelm Weber, is dedicated to a new modelfor a lean and greenclosed
loop automotive supply chain in order to provide an optimal distribution plan
for several periods as well as for several echelons in the network. To solve
such problems, six different objectives are included, such as the minimization of
transportationcost,latedeliveries,etc.Oneofthemaincontributionsistheusageof
afuzzyweightedadditivemethod,whichemploysafuzzyanalytichierarchyprocess
forthedeterminationoftheweights.Inaddition,theinvestigatedframeworkcanbe
utilizedtounderstandthedriversinanintegratedmodel.
Lean andGreen SupplierSelection
Chapter 3, called as “Risk Management in Lean & Green Supply Chain: A
Novel Fuzzy Linguistic Risk Assessment Approach” by Turan Paksoy, Ahmet
Çalik, Abdullah Yildizbas¸ı, and Sandra Huber, proposes a novel fuzzy linguistic
risk assessment approach to evaluate risk management in lean and green supply
chains. A solution approach with four stages is presented that, e.g., includes the
determination of weights by the decision maker, the assignment of suppliers to
risk groups,etc. Furthermore,a numericalinvestigationis carriedout to show the
Preface ix
applicability of the proposed method. In order to present managerialinsights, the
authorsprovideactionplanswhichcorrespondtothedifferentrisklevels.
Chapter4,named“ANewMultiObjectiveLinearProgrammingModelforLean
and Green Supplier Selection with Fuzzy TOPSIS,” by Belkız Torg˘ul and Turan
Paksoy, examines the assessment of a multi-objective linear programming model
for a supplierselection problem.Apartfrom financialfactors, quantitativeas well
asqualitativefactorsthatincorporateleanandgreensupplychainmanagementare
includedinthemodel.Theauthorsuseareal-worldcasestudyinvolvingthedelivery
ofplasticpartsintheautomotiveindustryinTurkeytoassesstheperformanceand
effectivenessoftheproposedmodel.
Lean andGreen Vehicle/Fleet Management
Chapter5,entitled“TheImpactofRoutingonCO EmissionsataRetailGrocery
2
Store Chain: A GIS-based Solution Approach,” by Çag˘rıKoç, Mehmet Erbas¸,
and Eren Özceylan, introduces a variant of a pollution-routing problem in order
to analyze a retail grocery store chain in Turkey. Thereby, special attention is
paid to fuel consumption and CO emissions of the vehicles. The presented tabu
2
searchheuristicisabletoprovidemanagerialinsightsbyinvestigatingthetrade-off
betweenthenumberofvehiclesandtheshopdemands.Furthermore,itisbeneficial
togainfurtherinsightsbyvisualizingthedataandthesolutionsonagraphicaluser
interface.
Chapter6,namedas“ASimulatedAnnealingAlgorithmBasedSolutionMethod
foraGreenVehicleRoutingProblemwithFuelConsumption,”byKenanKaragul,
YusufSahin,ErdalAydemir,andAykutOral,presentsthedevelopmentofasimulated
annealing algorithm that provides decision support for a green vehicle routing
problem with fuel consumption. Thereby, the total vehicle weight, the changes
of the weight, and the distances have to be taken into account in a heuristic.
The methodology is illustrated for selected test instances, and statistical analysis
techniquesareappliedtocomparethedifferentmethods.
Chapter 7, called “Development of a Web-Based Decision Support System
for Strategic and Tactical SustainableFleet ManagementProblems in Intermodal
Transportation Networks,” by Adil Baykasog˘lu, Kemal Subulan, A. Serdar Tas¸an,
Nurhan Dudaklı, Murat Turan, Erdin Çelik, and Özgür Ülker, is devoted to a
web-baseddecisionsupportsystemforsustainablefleetmanagementinintermodal
transportationnetworks.Thepromotionofinteractivedecisionsupportisofmajor
importance in sustainable fleet planning.A decision maker seeks to minimize the
overalltransportationcosts, the total transit times, and the CO emissionsthrough
2
theintroductionofstrategicaswellastacticalfleetmanagement.Inthiscontext,a
decision supportsystem is introducedto foster an internationallogistics company
ofTurkey.