Verfügbarkeit: Optimization in outbound logistics

Optimization in outbound logistics:

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Bibliographische Detailangaben
1. Verfasser:	Schwerdfeger, Stefan 1990- (VerfasserIn)
Format:	Abschlussarbeit Buch
Sprache:	English
Veröffentlicht:	Jena 2018
Schlagworte:	Logistikunternehmen Lagerhaltung Effizienzsteigerung Hochschulschrift
Online-Zugang:	Inhaltsverzeichnis Inhaltsverzeichnis
Beschreibung:	xii, 272 Blätter Diagramme

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Datensatz im Suchindex

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adam_text	CONTENTS I INTRODUCTION 1 A. INTRODUCTION AND OVERVIEW 2 A.L. INTRODUCTION TO LO G ISTIC S ................................................................................. 2 A.2. OUTBOUND LO G ISTICS........................................................................................... 4 A.3. STRUCTURE OF THE TH E S I S ..................................................................................... 6 II O RDER PICKING 13 B. INTRODUCTION 14 6.1. ORDER PICKING S Y S TE M S ..................................................................................... 15 6.2. DECISION PROBLEMS ........................................................................................... 19 6.3. RESEARCH C O N TRIB U TIO N ........................................................................................ 20 C. ORDER PICKING ALONG A CRANE-SUPPLIED PICK FACE: THE SKU SWITCHING PROBLEM 23 0.1. INTRODUCTION......................................................................................................... 24 0.1.1. A CRANE-SUPPLIED PICK FA C E .................................................................. 24 0.1.2. LITERATURE REVIEW AND RELATION TO THE TOOL SWITCHING PROBLEM . . . 26 0.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE ....................................................... 28 0.2. PROBLEM DEFINITION AND COM PLEX ITY .................................................................. 28 0.3. SOLUTION PROCEDURES .......................................................................................... 32 0.3.1. A HEURISTIC DECOMPOSITION PROCEDURE .................................................... 33 0.3.2. LOWER BOUNDS........................................................................................... 36 0.3.3. AN EXACT BRANCH-AND-BOUND PROCEDURE ................................................. 38 0.3.4. A MULTI-OBJECTIVE PROCEDURE................................................................... 40 0.4. COMPUTATIONAL S TU D Y .......................................................................................... 41 0.4.1. INSTANCE GENERATION.................................................................................. 41 0.4.2. LOWER BOUND PERFORM ANCE...................................................................... 42 0.4.3. ALGORITHMIC PERFORMANCE ...................................................................... 43 C. 5. MANAGERIAL A SP E C TS ............................................................................................. 45 0.5.1. SETUP OF SIMULATION .................................................................................. 45 0.5.2. SUITABILITY OF OBJECTIVE FUNCTION ............................................................. 47 0.5.3. SIZING THE PICK FACE .................................................................................. 50 0.6. CONCLUSION ..........................................................................................................52 0.7. A P P E N D IX ............................................................................................................ 53 0.7.1. MIXED-INTEGER MODEL FOR THE SKU SWITCHING P RO B LE M ...........................53 0.7.2. MIXED-INTEGER MODEL FOR THE D - L E X ......................................................55 D. SEQUENCING OF PICKING ORDERS TO FACILITATE THE REPLENISHMENT OF A-FRAME SYS TEMS 56 D. L. INTRODUCTION......................................................................................................... 57 D.1.1. A-FRAME DISPENSERS ............................................................................... 57 D.1.2. DECISION PROBLEMS, CASE STUDY, AND LITERATURE R E V IE W ......................... 58 D.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE ....................................................... 59 D.2. PROBLEM DEFINITION AND COM P LEX ITY .................................................................. 60 D.3. SOLUTION PROCEDURES .......................................................................................... 66 D.3.1. MIXED-INTEGER PROGRAM ............................................................................ 66 D.3.2. HEURISTIC SOLUTION P RO CED U RES ................................................................ 69 D.4. COMPUTATIONAL S TU D Y .......................................................................................... 75 D.4.1. INSTANCE GENERATION .............................................................................. 75 D.4.2. COMPUTATIONAL PERFORM ANCE ................................................................... 76 D.5. MANAGERIAL A SP E C TS............................................................................................. 78 D.6. CONCLUSION ......................................................................................................... 84 D. 7. A P P E N D IX ........................................................................................................ 84 III T RANSPORT 86 E. INTRODUCTION 87 E. L. MODES OF TRA N S P O RT............................................................................................. 88 E.2. DECISION PROBLEMS ...................................... 91 E.3. GREEN TRANSPORTATION.......................................................................................... 92 E.4. JUST-IN-TIME DELIV ERY .......................................................................................... 95 E.5. RESEARCH C O N TRIB U TIO N ....................................................................................... 96 F. JUST-IN-TIME LOGISTICS FOR FAR-DISTANT SUPPLIERS: SCHEDULING TRUCK DEPARTURES FROM AN INTERMEDIATE CROSS DOCKING TERMINAL 98 F.L. INTRODUCTION......................................................................................................... 99 F.1.1. VEHICLE SCHEDULING BETWEEN CROSS DOCK AND O E M ............................. 100 F .L.2. LITERATURE REVIEW ....................................................................................101 F.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE ..................................................... 103 F.2. PROBLEM DEFINITION AND COM PLEXITY ................................................................ 104 F.3. SOLUTION PROCEDURES .........................................................................................107 F.3.1. MIXED-INTEGER P RO G RA M S ....................................................................... 107 F.3.2. LOWER BOUNDS..........................................................................................110 F.3.3. A HEURISTIC DECOMPOSITION PROCEDURE .................................................. 112 F.4. COMPUTATIONAL S TU D Y .........................................................................................113 F.4.1. INSTANCE GENERATION ................................................................................ 113 F.4.2. COMPUTATIONAL PERFORM ANCE ................................................................. 114 F.5. MANAGERIAL A SP E C TS ........................................................................................... 118 F. 6. CONCLUSION ........................................................................................................122 G. THE IDENTICAL-PATH TRUCK PLATOONING PROBLEM 123 G. L. INTRODUCTION........................................................................................................124 C.1.1. TRUCK PLATOONING....................................................................................124 0.1.2. LITERATURE REVIEW ....................................................................................125 0.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE ..................................................... 127 0.2. PROBLEM D E FIN ITIO N ........................................................................................... 128 0.3. ANALYSIS OF COMPUTATIONAL C O M P LE X ITY .......................................................... 134 G.4. COMPUTATIONAL TESTS ON THE ACTUAL PLATOONING EFFICIENCY ............................ 141 G. 5. CONCLUSION ..................................................................................................... 149 IV W ORKLOAD BALANCING 150 H. INTRODUCTION 151 H. L. EXAMPLES OF AP P LIC ATIO N .................................................................................. 152 H.2. RESEARCH C O N TRIB U TIO N ..................................................................................... 155 I. A FAST AND EFFECTIVE SUBSET SUM BASED IMPROVEMENT PROCEDURE FOR WORKLOAD BALANCING ON IDENTICAL PARALLEL MACHINES 157 1.1. INTRODUCTION......................................................................................................... 158 1.1.1. PROBLEM D EFIN ITIO N .................................................................................158 1.1.2. LITERATURE REVIEW ....................................................................................159 1.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE......................................................161 1.2. PREPROCESSING AND A SIMPLE LOWER B O U N D .........................................................161 1.3. AN EXACT PROCEDURE (WB3) FOR P 3 N S S W D ...................................................162 1.4. ALGORITHMS FOR MULTIPLE M ACHINES.....................................................................165 1.4.1. LPT-BASED HEURISTICS..............................................................................166 1.4.2. SUBSET SUM BASED LOCAL SEARCH (L S ) ................................................... 166 1.5. COMPUTATIONAL S TU D Y ..........................................................................................168 1.5.1. COMPARISON OF WB3 AND G U R O B I.........................................................169 1.5.2. PERFORMANCE OF LS ON BENCHMARK S E T S ............................................... 169 1.5.3. FURTHER BALANCING C R ITE R IA .....................................................................172 1.6. CONCLUSION .........................................................................................................174 J. IMPROVED ALGORITHMS TO MINIMIZE WORKLOAD BALANCING CRITERIA ON IDENTICAL PAR ALLEL MACHINES 176 J.L. INTRODUCTION........................................................................................................177 3.1.1. PROBLEM D EFIN ITIO N .................................................................................177 3.1.2. LITERATURE REVIEW ....................................................................................177 3.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE ..................................................... 178 3.2. ALGORITHMS FOR SOLVING P N S S W D ..................................................................179 3.2.1. AN IMPROVED EXACT ALGORITHM FOR THREE MACHINES - W B^ ............ 179 3.2.2. EXTENSIONS OF W B^ AND ITS USE WITHIN A LOCAL SEARCH PROCEDURE . . 182 3.3. ALGORITHMS FOR SOLVING P \|\| 7 A ...........................................................................184 3.3.1. AN EXACT ALGORITHM FOR THREE MACHINES - W B ^ .............................. 185 3.3.2. EXTENSIONS AND A LOCAL SEARCH PROCEDURE FOR M 4 .......................... 186 3.4. COMPUTATIONAL S TU D Y ..........................................................................................187 3.4.1. TESTBED AND INSTANCE G E N E RA TIO N .........................................................188 3.4.2. COMPUTATIONAL PERFORM ANCE..................................................................189 3.4.3. ON THE CORRELATION BETWEEN THE NSSWD- AND CA-CRITERION .... 198 3.5. CONCLUSION .........................................................................................................200 K. REDUCTION CRITERIA, UPPER BOUNDS, AND A DYNAMIC PROGRAMMING BASED HEURISTIC FOR THE MAX-MIN /^-PARTITIONING PROBLEM 201 K.L. INTRODUCTION.........................................................................................................202 K.1.1. PROBLEM D EFIN ITIO N ................................................................................202 K.1.2. LITERATURE REVIEW ...................................................................................203 K.1.3. CONTRIBUTION AND CHAPTER STRU CTU RE.....................................................205 K.2. PREPROCESSING......................................................................................................206 K.2.1. TIGHTENING THE CARDINALITY L I M I T S ........................................................206 K.2.2. REDUCTION C R I T E R I A ................................................................................208 K.3. BOUNDING THE OPTIMAL OBJECTIVE VALUE ........................................................... 211 K.3.1. LIFTING P RO C E D U RE S................................................................................211 K.3.2. UPPER BOUNDING PROCEDURES.................................................................214 K.4. A LG O RITH M S.........................................................................................................219 K.4.1. CONSTRUCTION HEURISTICS ....................................................................... 219 K.4.2. A SUBSET SUM BASED IMPROVEMENT H E U R IS TIC ...................................... 220 K.5. COMPUTATIONAL S TU D Y ..........................................................................................225 K.5.1. INSTANCE GENERATION................................................................................225 K.5.2. EXECUTION SCHEME ................................................................................226 K.5.3. COMPUTATIONAL PERFORM ANCE.................................................................228 K.6. CONCLUSION .........................................................................................................234 V CONCLUSION 236 BIBLIOGRAPHY 240 A PPENDIX 258 ZUSAM M ENFASSUNG......................................................................................................259 SELBSTSTAENDIGKEITSERKLAERUNG ...................................................................................... 265 AUFLISTUNG DER D ISSERTATIONSPROJEKTE ....................................................................... 266 K URZLEBENSLAUF............................................................................................................268 LISTE DER WISSENSCHAFTLICHEN PUBLIKATIONEN .............................................................. 269 LISTE DER WISSENSCHAFTLICHEN V ORTRAEGE ....................................................................... 271
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spelling	Schwerdfeger, Stefan 1990- Verfasser (DE-588)1170991084 aut Optimization in outbound logistics von Stefan Schwerdfeger M. Sc. Jena 2018 xii, 272 Blätter Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2018 Logistikunternehmen (DE-588)4308413-8 gnd rswk-swf Lagerhaltung (DE-588)4034081-8 gnd rswk-swf Effizienzsteigerung (DE-588)4443806-0 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Lagerhaltung (DE-588)4034081-8 s Logistikunternehmen (DE-588)4308413-8 s Effizienzsteigerung (DE-588)4443806-0 s DE-604 B:DE-101 application/pdf http://d-nb.info/1170916015/04 Inhaltsverzeichnis DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030770079&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Schwerdfeger, Stefan 1990- Optimization in outbound logistics Logistikunternehmen (DE-588)4308413-8 gnd Lagerhaltung (DE-588)4034081-8 gnd Effizienzsteigerung (DE-588)4443806-0 gnd
subject_GND	(DE-588)4308413-8 (DE-588)4034081-8 (DE-588)4443806-0 (DE-588)4113937-9
title	Optimization in outbound logistics
title_auth	Optimization in outbound logistics
title_exact_search	Optimization in outbound logistics
title_full	Optimization in outbound logistics von Stefan Schwerdfeger M. Sc.
title_fullStr	Optimization in outbound logistics von Stefan Schwerdfeger M. Sc.
title_full_unstemmed	Optimization in outbound logistics von Stefan Schwerdfeger M. Sc.
title_short	Optimization in outbound logistics
title_sort	optimization in outbound logistics
topic	Logistikunternehmen (DE-588)4308413-8 gnd Lagerhaltung (DE-588)4034081-8 gnd Effizienzsteigerung (DE-588)4443806-0 gnd
topic_facet	Logistikunternehmen Lagerhaltung Effizienzsteigerung Hochschulschrift
url	http://d-nb.info/1170916015/04 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030770079&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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