Parallel Session: An agent-based approach to vehicle dispatch and route planning in a dynamic milk collection network

Abstract/Description

Milk collection research has taken a static approach to vehicle route planning where vehicle routes are determined before the milk collection tankers leave the central depot (dispatch point) for milk collection. However, milk collection is a dynamic phenomenon where milk collection requests may arrive after the vehicles have left the dispatch point. In this paper we develop an agent-based model for vehicle dispatch policy and route planning in a dynamic milk collection environment. The model is tested under various conditions present in a milk collection network. Data is collected from a large dairy processor in Pakistan. The model is found robust under all conditions tested.

Session Theme

Parallel Session-Track: Marketing Strategy

Session Type

Event

Session Chair

Dr. Yusniza Kamarul Zaman

Start Date

19-12-2016 2:00 PM

End Date

19-12-2016 2:30 PM

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Dec 19th, 2:00 PM Dec 19th, 2:30 PM

Parallel Session: An agent-based approach to vehicle dispatch and route planning in a dynamic milk collection network

Milk collection research has taken a static approach to vehicle route planning where vehicle routes are determined before the milk collection tankers leave the central depot (dispatch point) for milk collection. However, milk collection is a dynamic phenomenon where milk collection requests may arrive after the vehicles have left the dispatch point. In this paper we develop an agent-based model for vehicle dispatch policy and route planning in a dynamic milk collection environment. The model is tested under various conditions present in a milk collection network. Data is collected from a large dairy processor in Pakistan. The model is found robust under all conditions tested.