dc.contributor.author
Falagara, Ioanna
en
dc.contributor.author
Stavridou, Afroditi
en
dc.date.accessioned
2015-06-03T08:36:44Z
dc.date.available
2015-09-27T05:56:38Z
dc.date.issued
2015-06-03
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/160
dc.rights
Default License
dc.title
Waste operations management
en
heal.secondaryTitle
Location and routing models
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heal.keyword
Environmental management--Case studies
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heal.keyword
Environmental management--Evaluation
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heal.keyword
Dissertations, Academic
en
heal.license
http://creativecommons.org/licenses/by-nc/4.0
heal.recordProvider
School of Economics, Business Administration and Legal Studies, Executive MBA
heal.publicationDate
2010-02
heal.bibliographicCitation
Falagara Ioanna and Stavridou Afroditi, 2010, Waste operations management :location and routing models , Master's Dissertation, International Hellenic University
en
heal.abstract
The purpose of our MA dissertation is to demonstrate how evidence-based research can help companies
and not-for-profit organizations to engage in Waste Management (WM) and Reverse Logistics (RL)
effectively and efficiently. Our focus is in identifying the most suitable routing and location models for endof-
life products and waste.
To achieve this, we draw on both primary sources and secondary sources. In particular, we review the latest
studies in the international literature that apply routing and location models on real-life case studies from
all over the world. We then use these insights to recommend an appropriate WM and RL strategy to three
Greek organizations.
The dissertation is divided in two parts. In the first we present and analyze 20 recent studies, 10 on routing
and 10 on location models. In each case we present in detail the problem, the data, the objectives, the
constraints and the mathematical model with its variables. In the second part we investigate three different
Greek organizations engaged in RL and WM. Based on document analysis and in-depth interviews with the
organizations’ representatives, we argue that all of them operate on the basis of ‘practical experience’
instead of formal models, a practice which often leads to sub-optimal results. The dissertation concludes by
proposing the most suitable model, for a given set of objectives, for each of the organizations in our Greek
case studies.
en
heal.tableOfContents
Acknowledgments...............................................................................................................................2
Executive Summary.............................................................................................................................3
1. Introduction ............................................................................................................................5
1.1. Definition and Importance of Waste Management and Reverse Logistics ............................5
1.2. Scope of the project .....................................................................................................................6
1.3. Methodology................................................................................................................................6
1.4. Outline..........................................................................................................................................6
2. Facility Location models in reverse logistics and waste management ...................................7
2.1. Location models with single objectivee.......................................................................................7
2.1.1. Study 1 [5] ...............................................................................................................................7
2.1.2. Study 2 [6] .............................................................................................................................10
2.1.3. Study 3 [7] .............................................................................................................................18
2.1.4. Study 4 [8] .............................................................................................................................21
2.2. Location modes with multi objective....................................................................................25
2.2.1. Study 1 [9] .............................................................................................................................25
2.2.2. Study 2 [10] ...........................................................................................................................31
2.2.3. Study 3 [11] ...........................................................................................................................34
2.2.4. Study 4 [12] ...........................................................................................................................37
2.2.5. Study 5 [13] ...........................................................................................................................40
2.2.6. Study 6 [14] ...........................................................................................................................49
3. Vehicle Routing Models ........................................................................................................52
3.1. VRP with time windows constraints (VRPTW) ......................................................................52
3.1.1. Study 1 [15] ...........................................................................................................................52
3.1.2. Study 2 [16] ...........................................................................................................................55
3.1.3. Study 3 [17] ...........................................................................................................................57
3.2. VRP with traffic regulations constraints...............................................................................61
3.2.1. Study 1 [18] ...........................................................................................................................62
3.2.2. Study 2 [19] ...........................................................................................................................63
3.3. Vehicle routing problem with pick ups and deliveries..........................................................66
3.3.1. Study 1 [20] ...........................................................................................................................66
3.3.2. Study 2 [21] ...........................................................................................................................68
3.3.3. Study 3 [22] ...........................................................................................................................70
3.4. VRP with compatibility constraints ......................................................................................72
3.4.1. Study 1 [23] ...........................................................................................................................72
3.4.2. Study 2 [24] ...........................................................................................................................75
4. Greek Case Studies................................................................................................................78
4.1. Residential waste management............................................................................................79
4.1.1. Municipality of Panorama, Thessaloniki ...............................................................................79
4.2. Industrial and commercial waste management ...................................................................80
4.2.1. EL.DI.A. Co. “Elliniki Etairia Diaxeirisis Aporimmaton”, Thessaloniki....................................80
4.2.2. “T” Co, Thessaloniki.................................................................................................................83
5. Conclusions ...........................................................................................................................86
6. References.............................................................................................................................87
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heal.advisorName
Tarantilis, Dr Christos
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heal.committeeMemberName
Tarantilis, Dr Christos
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heal.committeeMemberName
Hatzoglou, Prof Prodromos
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heal.committeeMemberName
Prof Levis, Marios
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heal.academicPublisher
School of Economics and Business Administration, Executive MBA programme
en
heal.academicPublisherID
ihu
heal.fullTextAvailability
true