Operational Transportation Planning of Modern Freight by Xin Wang PDF

By Xin Wang

ISBN-10: 365806868X

ISBN-13: 9783658068684

ISBN-10: 3658068698

ISBN-13: 9783658068691

Modern freight forwarding businesses try and cooperate with one another to extend their potency. Xin Wang experiences the recent operational transportation making plans difficulties that come up within the context of cooperation in either static and dynamic situations. to accomplish the cost-savings embedded in cooperation, novel making plans ways which may aid forwarders acquiring high quality ideas are proposed. Computational stories express massive advantages that may be completed via cooperation.

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Extra info for Operational Transportation Planning of Modern Freight Forwarding Companies: Vehicle Routing under Consideration of Subcontracting and Request Exchange

Sample text

Sort the insertion costs for each not planned request into different routes in the solution ∆crk in ascending order. Then, we can use the variable ζri = 1, 2, . . , |K| instead of the vehicle index k in ∆crk to obtain the sorted list of the insertion cost as < ∆crζr1 , ∆crζr2 , . . , ∆crζri , . . , ∆crζr|K| >. Thus, the i’th element in the list is the i’th smallest insertion cost of request r. 23) i=1 If some requests cannot be inserted into at least |K| − q + 1 routes, then the request that can be inserted in the fewest number of routes but at least in one route is chosen and inserted at the best position overall.

N} denote the set of n requests. P = {1, . . , n} is the set of pickup locations and D = {n + 1, . . , 2n} is the set of delivery locations. Even when two or more customer nodes refer to the same geographical location, they are represented by different nodes in V . Each request r ∈ R represents the transportation of an amount of goods r from the pickup node r+ = r ∈ P to the corresponding delivery node r− = r + n ∈ D. Define V = P ∪ D, which is the set of all customer nodes. For each arc (u, v) ∈ A = V × V , a distance duv ≥ 0 and a capacity limit Quv are given.

10) ensure that the capacity restriction is held. 12) forbid self-cycles. 3 Solution methodology Due to the complex bundling structures, the FCP with pickup and delivery requests is a very difficult combinatorial optimization problem. In this section, two heuristic approaches are presented. The first one is an LS heuristic developed based on the TS heuristic in Krajewska et al. (2008) and Krajewska and Kopfer (2009). The original TS heuristic is used to solve the IOTPP which is the main topic in the next two chapters.

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Operational Transportation Planning of Modern Freight Forwarding Companies: Vehicle Routing under Consideration of Subcontracting and Request Exchange by Xin Wang


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