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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 장병윤 | - |
| dc.contributor.author | 민춘기 | - |
| dc.date.issued | 2022-02 | - |
| dc.identifier.other | 31554 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/20568 | - |
| dc.description | 학위논문(박사)--아주대학교 일반대학원 :경영학과,2022. 2 | - |
| dc.description.tableofcontents | Ⅰ. Introduction 1 Ⅱ. Optimization of BOPS Location Using Fuzzy-AHP 6 2.1 Background and Purpose of the Study 6 2.2 Literature Review 12 2.2.1 Omni-channel operations 12 2.2.2 Location criteria for BOPS 14 2.3 Methodology 18 2.3.1 AHP 18 2.3.2 Fuzzy-AHP 21 2.3.3 Scales and steps for Fuzzy-AHP 22 2.3.4 The Fuzzy-AHP model for BOPS location selection 26 2.4 Analysis of the Evaluation Factors of BOPS Facilities 29 2.4.1 Suggested BOPS facility categorization method 29 2.4.2 Designing the evaluation factors of BOPS facilities 31 2.5 Results and Discussion 32 2.5.1 BOPS operations analysis 32 2.5.2 FAHP analysis 34 2.5.3 Development of evaluation standards for BOPS facility 38 2.6 Conclusions and Future Research 46 Ⅲ. Optimization of BOPS Location Using GIS 48 3.1 Backgrounds and Goal of the Study 48 3.2 Theoretical Background on the Methodology 50 3.2.1 GIS spatial analysis techniques 50 3.2.2 Theories on location analysis 54 3.3 Structure of the Study 58 3.4 Literature Review 60 3.5 Results & Discussion 61 3.5.1 GIS analysis 61 3.5.2 Results of GIS analysis 63 3.6 Conclusions 87 Ⅳ. Optimization of BOPS Location Using Mathematical Model 89 4.1 Background and Goal of the Study 89 4.2 Theoretical Background 93 4.2.1 Omni-channel logistics system 93 4.2.2 Omni-channel logistics operations 96 4.3 Literature Review 99 4.4. Case Study and Model 103 4.4.1 Case Study 103 4.4.2 Mathematical model 104 4.4.3 Experimental design 109 4.5 Results and Discussion 111 4.6. Conclusions 124 Ⅴ. Conclusions 126 References 135 Appendices 143 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | A Study on Pickup Facilities Location Optimization in Omni-channel SCM | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Choon-Ki Min | - |
| dc.contributor.department | 일반대학원 경영학과 | - |
| dc.date.awarded | 2022. 2 | - |
| dc.description.degree | Doctoral | - |
| dc.identifier.uci | I804:41038-000000031554 | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000031554 | - |
| dc.subject.keyword | GIS | - |
| dc.subject.keyword | buy online pickup in store | - |
| dc.subject.keyword | fuzzy-AHP | - |
| dc.subject.keyword | location | - |
| dc.subject.keyword | mathematical model | - |
| dc.subject.keyword | omni-channel | - |
| dc.subject.keyword | omni-channel scm | - |
| dc.description.alternativeAbstract | Abstract The location selection problem of buy online and pick up in store (BOPS) is becoming one of the major decision-making issues for omni-channel retailers. This study intends to suggest methods for optimizing the locations of BOPS pickup stores. In the first method we evaluate the suitability of existing offline stores as BOPS pickup facilities and selects stores with good scores. For retailers who are new to omni-channel, there is a need to determine which of the existing offline stores will be used as an BOPS facility. The types of BOPS facilities should also be decided depending on the location, size, and operations of stores. In this study we first derived the evaluation factors and rated the relative importance of each factor with Fuzzy-AHP in order to quantitatively evaluate the fitness of stores for BOPS and ranked the fitness. The second method is to find the optimal location for a pickup store with high BOPS demand and good customers accessibility. For retailers who want to provide BOPS in a new area where their stores do not exist, they have to choose the optimal location of BOPS facilities. In this method, population centroids weighted by residential type were used as demand points to estimate demand volumes, and network distance that customers visit a store to use BOPS service was calculated using the geographical information system (GIS) location models. In the third method, we try to find an optimal combination of pickup stores that minimizes the total cost of BOPS. Omni-channel retailers, running different types of pickup stores, want to operate their logistics network with minimal costs. We build a mathematical model by including the goodwill that customers feel when BOPS is provided and the upselling that occurs at pickup stores in the model. To demonstrate their practical applications, these models were applied to a real problem in a Korean city of Suwon. Finally, we compared pros and cons of the above mentioned three methods(Fuzzy-AHP, GIS and mathematical model). The results confirmed that the proposed models are helpful for solving real problems with the placement of BOPS facilities. The models developed in this study can contribute to location allocation of BOPS facilities and logistics network optimization in omni-channel supply chain management. Key words : omni-channel, buy online pickup in store, location, omni-channel scm, fuzzy-AHP, GIS, mathematical model | - |
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