|
|
|
|
LEADER |
00000cam a2200000Mi 4500 |
001 |
EBOOKCENTRAL_on1021805653 |
003 |
OCoLC |
005 |
20240329122006.0 |
006 |
m o d |
007 |
cr |n|---||||| |
008 |
180203s2016 gw o 000 0 eng d |
040 |
|
|
|a EBLCP
|b eng
|e pn
|c EBLCP
|d YDX
|d CHVBK
|d OCLCO
|d OCLCF
|d EZ9
|d OCLCQ
|d UX1
|d K6U
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCL
|
019 |
|
|
|a 1022076608
|
020 |
|
|
|a 9783832594169
|
020 |
|
|
|a 3832594167
|
020 |
|
|
|z 9783832540609
|
020 |
|
|
|z 3832540601
|
029 |
1 |
|
|a CHNEW
|b 001001843
|
029 |
1 |
|
|a CHVBK
|b 515196487
|
029 |
1 |
|
|a AU@
|b 000069392856
|
035 |
|
|
|a (OCoLC)1021805653
|z (OCoLC)1022076608
|
050 |
|
4 |
|a QA274.2
|b .P445 2016
|
082 |
0 |
4 |
|a 519.2
|2 23
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Pfeiffer, Dominik.
|
245 |
1 |
0 |
|a Flexibility Planning in Distribution Networks :
|b a Flexibility Planning Model for the Consumer Goods Industry.
|
260 |
|
|
|a Berlin :
|b Logos Verlag Berlin,
|c 2016.
|
300 |
|
|
|a 1 online resource (283 pages).
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
490 |
1 |
|
|a Advances in Information Systems and Management Science Ser. ;
|v v. 53
|
588 |
0 |
|
|a Print version record.
|
505 |
0 |
|
|a Intro; 1 INTRODUCTION; 1.1 CURRENT SITUATION; 1.2 PROBLEM STATEMENT; 1.3 RESEARCH OBJECTIVES; 1.4 RESEARCH DESIGN; 1.5 STRUCTURE OF THIS WORK; 2 STATE OF THE ART ANALYSIS; 2.1 INTRODUCTION INTO THE BASIC TERMINOLOGY AND DEDUCTION OF REQUIREMENTS; 2.1.1 Supply Chains and Distribution Networks; 2.1.2 Flexibility in Supply Chains; 2.1.3 Characteristics of Distribution Networks in the Consumer Goods Industry; 2.1.4 Distribution Planning; 2.1.5 Flexibility Management; 2.2 REVIEW OF EXISTING WORKS; 2.2.1 Identification and Positioning of Relevant Contributions.
|
505 |
8 |
|
|a 2.2.2 Analysis Regarding Distribution Planning-related Requirements2.2.3 Analysis Regarding Flexibility-related Requirements; 2.3 DENOMINATION OF THE RESEARCH GAP; 2.4 DEDUCTION OF ARTIFACTS; 3 MODELING FLEXIBILITY IN DISTRIBUTION NETWORKS; 3.1 INTRODUCTION TO THE MODELING OF DISTRIBUTION NETWORKS; 3.1.1 The Use of Optimization Techniques; 3.1.2 Network Flow Problems; 3.1.3 A Multi-Period Distribution Network Model; 3.2 PLANNING MODELS IN DISTRIBUTION NETWORKS; 3.2.1 Network Planning; 3.2.2 Hierarchical Planning; 3.2.3 Planning Under Uncertainty.
|
505 |
8 |
|
|a 3.3 MODELING FLEXIBILITY POTENTIALS IN DISTRIBUTION NETWORKS3.3.1 Basic Notion of the Three Modeling Dimensions; 3.3.2 External Flexibility Potentials; 3.3.3 Internal Flexibility Potentials; 3.3.4 Volume Flexibility in Distribution Networks; 3.4 MODELING THE FLEXIBILITY MEASURES; 3.4.1 Flexibility Measures in Distribution Networks; 3.4.2 Characterizing Attributes of the Flexibility Measures; 4 DEVELOPMENT OF THE FLEXIBILITY PLANNING MODEL; 4.1 INTRODUCTORY CONSIDERATIONS AND GENERAL SETTING; 4.2 TWO-STAGE HIERARCHICAL PLANNING; 4.3 THE DETERMINISTIC TOP-LEVEL FLEXIBILITY PLANNING MODEL.
|
505 |
8 |
|
|a 4.3.1 General Considerations4.3.2 Planning the Network Flow; 4.3.3 Planning the Flexibility Measures; 4.4 TOP-LEVEL PLANNING WITH STOCHASTIC DEMAND; 4.4.1 Motivation for the Use of Stochastic Programming; 4.4.2 Stochastic Programs and Recourse Problems; 4.4.3 Scenario Reduction and Evaluating the Stochastic Solution; 4.4.4 Extending the Top-Level Flexibility Planning Model; 4.5 THE BASE-LEVEL FLEXIBILITY PLANNING MODEL; 4.5.1 General Considerations; 4.5.2 Planning the Network Flow; 4.5.3 Planning the Flexibility Measures; 5 EVALUATION OF THE FLEXIBILITY PLANNING APPROACH.
|
505 |
8 |
|
|a 5.1 EVALUATION DESIGN5.2 EVALUATION CASE 1: TABLE-TOP PRODUCT MANUFACTURING INDUSTRY; 5.2.1 Introduction to the Case; 5.2.2 Demand and Capacity Situation; 5.2.3 Model Validation; 5.2.4 Value of the Stochastic Solution; 5.2.5 Value of the Flexibility-enabled Planning; 5.3 EVALUATION CASE 2: ADHESIVE TECHNOLOGIES INDUSTRY; 5.3.1 Introduction to the Case; 5.3.2 Value of the Flexibility-enabled Planning; 5.4 EVALUATION CASE 3: FICTITIOUS SCENARIO; 5.4.1 Description of the Evaluation Case; 5.4.2 Value of the Flexibility-enabled Planning; 5.4.3 Value of the Stochastic Solution.
|
500 |
|
|
|a 5.4.4 Performance Evaluation.
|
520 |
8 |
|
|a Annotation
|b Companies, especially in the consumer goods industry, have realized the importance of flexibility in their distribution networks for the provision of high customer service levels. The challenge is to determine how flexibility potentials such as excess capacities in storage and transport should be set up and utilized as an integral part of distribution planning. Flexibility planning shall avoid unused flexibility potentials that represent cost drivers and insufficient flexibility alike. It needs to consider constraints such as lead times and dependencies between different adaptation measures. In addition, flexibility is a property which depends on future conditions, and anticipating the future development of the demand complicates the planning task and increases the complexity of the planning problem. The author presents a planning model that incorporates flexibility decisions into the distribution planning. The use of a stochastic model allows for the consideration of demand scenarios and enables a flexible reaction to unforeseen changes. The planning model anticipates the development of the material flow and accounts for the temporal gap between the periods in which flexibility measures are implemented and the periods in which the beneficial effects in terms of high service levels develop. Its contribution to theory and practice could be demonstrated by means of different evaluation cases with involvement of companies from the consumer goods industry. Dominik Pfeiffer, born 1985, studied Information Systems at the University of Munster, Germany. During his doctoral studies he worked as a Research Assistant at the European Research Center for Information Systems (ERCIS). In May 2014 he obtained the degree of Doctor of Economics (Dr rer. pol.) from the School of Business and Economics at the University of Munster. Since 2014 he works as an IT Architect in the Strategy and Architecture division of a German utility.
|
590 |
|
|
|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
650 |
|
0 |
|a Stochastic analysis.
|
650 |
|
6 |
|a Analyse stochastique.
|
650 |
|
7 |
|a Stochastic analysis
|2 fast
|
758 |
|
|
|i has work:
|a Flexibility planning in distribution networks (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGypHdVX3T89BvjQQdxpWC
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Pfeiffer, Dominik.
|t Flexibility Planning in Distribution Networks : A Flexibility Planning Model for the Consumer Goods Industry.
|d Berlin : Logos Verlag Berlin, ©2016
|z 9783832540609
|
830 |
|
0 |
|a Advances in Information Systems and Management Science Ser.
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5247077
|z Texto completo
|
938 |
|
|
|a EBL - Ebook Library
|b EBLB
|n EBL5247077
|
938 |
|
|
|a YBP Library Services
|b YANK
|n 15138862
|
994 |
|
|
|a 92
|b IZTAP
|