There　are　grey　factors　in　VRP　of　Reverse　logistics,　which　are　helpful　to　improve　practicability　of　optimization　result.　In　this　paper,　an　uncertain　programming　VRP　model　with　grey　recycling　demand　in　Reverse　Logistics　is　proposed,　and　grey　chance-constrained　programming　and　particle　swarm　optimization　are　combined　to　resolve　it.　The　results　of　example　show　that　the　model　and　algorithm　are　effective　for　dealing　with　the　grey　recycling　demand　in　VRP　of　Reverse　logistics.　©　2010　IEEE.