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Shelf space is an important resource for automotive retailers since a great quantity of products competes with the limited shelf space for display. Retailer cannot only increase their profit directly without considering product prices, display facing areas, display orientations, shelf-space location...
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id-itb.:158262017-09-27T14:50:39Z#TITLE_ALTERNATIVE# SUSANTO(M9901814); Pembimbing : Vincent F yu, HADI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/15826 Shelf space is an important resource for automotive retailers since a great quantity of products competes with the limited shelf space for display. Retailer cannot only increase their profit directly without considering product prices, display facing areas, display orientations, shelf-space locations, and cost by proper shelf space management. This research develops a model that considers several aforementioned factors, and captures three dimensional product packaging characteristics. Unlike existing shelf-space allocation models, this research sets out to deepen the cost factor <br /> <br /> <br /> including purchasing cost, ordering cost, holding cost, and display cost. Further, we also take into account how to determine the economic order quantity based on specific range orders to a supplier. This research proposes to extend the limited stream of research by systematically addressing the shelf-space allocation problem and exploring alternative solution technique such as meta-heuristic approaches, more specifically, the particle swarm optimization (PSO) method to solve the problem. text |
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Shelf space is an important resource for automotive retailers since a great quantity of products competes with the limited shelf space for display. Retailer cannot only increase their profit directly without considering product prices, display facing areas, display orientations, shelf-space locations, and cost by proper shelf space management. This research develops a model that considers several aforementioned factors, and captures three dimensional product packaging characteristics. Unlike existing shelf-space allocation models, this research sets out to deepen the cost factor <br />
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including purchasing cost, ordering cost, holding cost, and display cost. Further, we also take into account how to determine the economic order quantity based on specific range orders to a supplier. This research proposes to extend the limited stream of research by systematically addressing the shelf-space allocation problem and exploring alternative solution technique such as meta-heuristic approaches, more specifically, the particle swarm optimization (PSO) method to solve the problem. |
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SUSANTO(M9901814); Pembimbing : Vincent F yu, HADI |
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SUSANTO(M9901814); Pembimbing : Vincent F yu, HADI #TITLE_ALTERNATIVE# |
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SUSANTO(M9901814); Pembimbing : Vincent F yu, HADI |
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SUSANTO(M9901814); Pembimbing : Vincent F yu, HADI |
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