1,720,991 research outputs found
Integrating order picking and vehicle routing decisions
No full textB2C e-commerce is still growing annually and e-commerce customers have high expectations concerning their online purchase and its delivery. Consequently, the logistics activities of companies are under pressure, especially the order picking and vehicle routing operations. Companies have to thoroughly redesign their processes and activities. Integrating order picking and vehicle routing operations lead to larger improvements than optimising each individual subproblem separately. In this dissertation, the integrated order picking-vehicle routing problem (I-OP-VRP) is introduced and described in detail. A heuristic algorithm using a record-to-record travel framework is proposed. Experiments are conducted to quantify the value of integration. By integrating both subproblems, the service level offered to the customers can be improved and cost savings can be obtained
Integrating order picking and vehicle routing decisions
No full textB2C e-commerce is still growing annually and e-commerce customers have high expectations concerning their online purchase and its delivery. Consequently, the logistics activities of companies are under pressure, especially the order picking and vehicle routing operations. Companies have to thoroughly redesign their processes and activities. Integrating order picking and vehicle routing operations lead to larger improvements than optimising each individual subproblem separately. In this dissertation, the integrated order picking-vehicle routing problem (I-OP-VRP) is introduced and described in detail. A heuristic algorithm using a record-to-record travel framework is proposed. Experiments are conducted to quantify the value of integration. By integrating both subproblems, the service level offered to the customers can be improved and cost savings can be obtained
Integration of batch order picking and vehicle routing
No full textFunctions in supply chain management are interrelated.
This means that optimization of the decisions in these
functions can benefit from integration of the decision
problems. The most well-known integration is the
combination of production scheduling and vehicle routing.
As e-commerce is growing fast, the function, which
proceeds vehicle routing, is not production but warehouse
operations. Therefore, it is useful to study the integrated
problem of order picking in the warehouse and vehicle
routing. Order picking can be done in two ways: a picking
route per customer order (called discrete order picking) or
a picking route involving multiple customer orders (called
batch order picking). The effect of batching is studied in
this paper
Integration of batch order picking and vehicle routing
No full textFunctions in supply chain management are interrelated.
This means that optimization of the decisions in these
functions can benefit from integration of the decision
problems. The most well-known integration is the
combination of production scheduling and vehicle routing.
As e-commerce is growing fast, the function, which
proceeds vehicle routing, is not production but warehouse
operations. Therefore, it is useful to study the integrated
problem of order picking in the warehouse and vehicle
routing. Order picking can be done in two ways: a picking
route per customer order (called discrete order picking) or
a picking route involving multiple customer orders (called
batch order picking). The effect of batching is studied in
this paper
A real-life study on the value of integrated optimization in order picking operations under dynamic order arrivals
No full textOptimizing the order picking operations is indispensable for warehouses that promise a high customer service level. While many areas for improvement have been identified and studied in the literature, a large gap remains between academia and practice. To help with closing this gap, we perform a case-study in collaboration with a spare-parts warehouse in Belgium. In this study, we optimize the order picking operations of the company, using the actual warehouse layout and real order data. A state-of-the-art online integrated order batching, picker routing and batch scheduling algorithm is adapted to consider multiple real-life constraints. More specifically, the dynamic arrival of new orders is considered, and a capacity constraint on the sorting installation should be respected. Furthermore, a new waiting strategy is studied in which order pickers can temporarily postpone certain orders, as combining them with possible future order arrivals may allow for more efficient overall picking performance. Finally, the performance of the current operating policy is compared with that of both a seed batching heuristic and our metaheuristic algorithm by use of an ANOVA analysis. The results indicate that the number of order pickers can be reduced by 12.5% if the new optimization algorithm is used, accompanied by an improvement in the offered customer service level.Ruben D’Haen is funded by the Research Foundation Flanders (Grant number FWO-11J1721N). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation Flanders (FWO) and the Flemish Government
Batch Order and Discrete Order Picking Integrated with Vehicle Routing Decisions
No full textIn a business-to-consumer (B2C) context, customers order more frequently and in smaller quantities, resulting in a high number of consignments. Moreover, online shoppers expect a fast and accurate delivery at low cost or even free. To survive in such a market, companies can no longer optimise individual supply chain processes, but need to integrate several activities. In this article, the integrated order picking-vehicle routing problem is analysed in an e-commerce environment. In previous research, a mathematical programming formulation has been formulated in literature but only small-size instances can be solved to optimality. Two picking policies are studied: discrete order picking and batch order picking. The influence of various problem contexts on the value of integration is investigated: a small picking time period, outsourcing to 3PL service providers, and a dynamic environment context
The value of integrating order picking and vehicle routing decisions in a B2C e-commerce environment
No full textpeer reviewedIn B2C e-commerce sales, customers expect a fast and low-cost delivery. To be able to fulfill these customer expectations, both warehouse and distribution operations have to be performed in an efficient and effective way. Ideally, these two supply chain functions should be considered simultaneously in an integrated problem since they are interrelated. In this paper, a record-to-record travel algorithm is proposed to solve the integrated order picking-vehicle routing problem (I-OP-VRP). Experiments with both small-size and large-size instances are conducted. Furthermore, the integrated approach is compared with an approach in which both problems are solved sequentially. Results show that integration leads to increased service levels, i.e., it allows to shorten the time between placing an order and receiving the goods. On top, the integrated approach leads to costs savings of on average 1.8%. Thus, integration is indispensable for a fast and cost-efficient delivery of goods.COMEX (Combinatorial Optimization: Metaheuristics & Exact Methods
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