Print Email Facebook Twitter Reducing unmet demand and spoilage in cut rose logistics Title Reducing unmet demand and spoilage in cut rose logistics: Modeling and control of fast moving perishable goods Author Lin, X. (TU Delft Transport Engineering and Logistics) Negenborn, R.R. (TU Delft Transport Engineering and Logistics) Duinkerken, M.B. (TU Delft Transport Engineering and Logistics) Lodewijks, G. (University of New South Wales) Date 2018 Abstract Fresh cut flower supply chains are aware of the need for reducing spoilage and increasing customer satisfaction. This paper focuses on a part of the cut rose supply chain, from auction house to several end customers. A new business mode is considered that would allow end customers to subscribe to florists and have a continuous supply of bouquets of roses. To make this business mode feasible, we propose to benefit from real-time information on roses’ remaining vase life. First, a quality-aware modeling technique is applied to describe supply chain events and quality change of cut roses among several supply chain players. Then, a distributed model predictive control strategy is used to make up-to-date decisions for supply chain players according to the latest logistics and quality information. This approach provides a tool for multiple stakeholders to collaboratively plan the logistics activities in a typical cut rose supply chain based on roses’ estimated vase life in real time. The proposed approach is compared with a currently used business mode in simulation experiments. Results illustrate that the new business mode and the planning approach could reduce unmet demand and spoilage in a cut rose supply chain. To reference this document use: http://resolver.tudelft.nl/uuid:edfa3b85-3ecf-4060-b297-88ad975b0fe7 DOI https://doi.org/10.1177/0361198118783901 ISSN 0361-1981 Source Transportation Research Record, 2672 (9), 130-140 Part of collection Institutional Repository Document type journal article Rights © 2018 X. Lin, R.R. Negenborn, M.B. Duinkerken, G. Lodewijks Files PDF 0361198118783901.pdf 594.98 KB Close viewer /islandora/object/uuid:edfa3b85-3ecf-4060-b297-88ad975b0fe7/datastream/OBJ/view