Optimization of goods relocation in urban store networks with an incentive strategy
Abstract Nowadays, goods are relocated daily among urban fashion stores by van or truck. This relocation activity generates externalities in urban areas that cause deterioration in the quality of life of their citizens. Innovative strategies based on a sharing approach promise solutions to reduce th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
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| Series: | IET Collaborative Intelligent Manufacturing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cim2.12011 |
| _version_ | 1828096105800269824 |
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| author | Bartolomeo Silvestri Michele Roccotelli Raffaello Pio Iavaniglio Luigi Ranieri |
| author_facet | Bartolomeo Silvestri Michele Roccotelli Raffaello Pio Iavaniglio Luigi Ranieri |
| author_sort | Bartolomeo Silvestri |
| collection | DOAJ |
| description | Abstract Nowadays, goods are relocated daily among urban fashion stores by van or truck. This relocation activity generates externalities in urban areas that cause deterioration in the quality of life of their citizens. Innovative strategies based on a sharing approach promise solutions to reduce the use of heavy, polluting vehicles and therefore the related externalities in urban areas. The authors aim to optimise the relocation activity of city fashion stores through a customer‐involved incentive mechanism. The method provides store shopping vouchers to loyal customers as a reward for package delivery from one shop to another. If no customers agree to participate in the delivery game, company relocation staff will perform the delivery service. The benefit of the proposed delivery game is twofold—it increases customer loyalty and reduces the externalities produced by heavy vehicles moving through the city. To this end, two integer linear programming problems are formalised to optimise goods relocation activity with package deliveries (1) by company staff only and (2) by loyal customers in an incentive game. A simulation case study is presented to show the application of the methodology in fashion stores. |
| first_indexed | 2024-04-11T07:23:55Z |
| format | Article |
| id | doaj.art-0dba22bcc8c5430bb430e29019298da8 |
| institution | Directory Open Access Journal |
| issn | 2516-8398 |
| language | English |
| last_indexed | 2024-04-11T07:23:55Z |
| publishDate | 2021-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Collaborative Intelligent Manufacturing |
| spelling | doaj.art-0dba22bcc8c5430bb430e29019298da82022-12-22T04:37:07ZengWileyIET Collaborative Intelligent Manufacturing2516-83982021-03-0131132210.1049/cim2.12011Optimization of goods relocation in urban store networks with an incentive strategyBartolomeo Silvestri0Michele Roccotelli1Raffaello Pio Iavaniglio2Luigi Ranieri3Department of Electrical and Information Engineering Polytechnic University of Bari Bari ItalyDepartment of Electrical and Information Engineering Polytechnic University of Bari Bari ItalyDepartment of Mechanics Polytechnic University of Bari Bari ItalyDepartment of Innovation Engineering University of Salento Lecce ItalyAbstract Nowadays, goods are relocated daily among urban fashion stores by van or truck. This relocation activity generates externalities in urban areas that cause deterioration in the quality of life of their citizens. Innovative strategies based on a sharing approach promise solutions to reduce the use of heavy, polluting vehicles and therefore the related externalities in urban areas. The authors aim to optimise the relocation activity of city fashion stores through a customer‐involved incentive mechanism. The method provides store shopping vouchers to loyal customers as a reward for package delivery from one shop to another. If no customers agree to participate in the delivery game, company relocation staff will perform the delivery service. The benefit of the proposed delivery game is twofold—it increases customer loyalty and reduces the externalities produced by heavy vehicles moving through the city. To this end, two integer linear programming problems are formalised to optimise goods relocation activity with package deliveries (1) by company staff only and (2) by loyal customers in an incentive game. A simulation case study is presented to show the application of the methodology in fashion stores.https://doi.org/10.1049/cim2.12011customer satisfactiongame theorygoods distributionincentive schemesinteger programminglinear programming |
| spellingShingle | Bartolomeo Silvestri Michele Roccotelli Raffaello Pio Iavaniglio Luigi Ranieri Optimization of goods relocation in urban store networks with an incentive strategy IET Collaborative Intelligent Manufacturing customer satisfaction game theory goods distribution incentive schemes integer programming linear programming |
| title | Optimization of goods relocation in urban store networks with an incentive strategy |
| title_full | Optimization of goods relocation in urban store networks with an incentive strategy |
| title_fullStr | Optimization of goods relocation in urban store networks with an incentive strategy |
| title_full_unstemmed | Optimization of goods relocation in urban store networks with an incentive strategy |
| title_short | Optimization of goods relocation in urban store networks with an incentive strategy |
| title_sort | optimization of goods relocation in urban store networks with an incentive strategy |
| topic | customer satisfaction game theory goods distribution incentive schemes integer programming linear programming |
| url | https://doi.org/10.1049/cim2.12011 |
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