Modeling a green inventory routing problem with a heterogeneous fleet

Cheng, Chun; Yang, Peng; Qi, Mingyao; Rousseau, Louis-Martin

doi:10.1016/j.tre.2016.11.001

Cited by 80 publications

(29 citation statements)

References 42 publications

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“…Over the years, several and different other versions of the GVRP were proposed. Just to cite a few, a GVRP with cross-docking was addressed in [25] while the Green Inventory Routing Problems with Heterogeneous Fleets was studied in [5]. In [4], the Electric Vehicle Routing Problem with Time Windows and Partial Recharges was introduced and addressed through a Variable Neighborhood Search Branching while the same problem was addressed by an Adaptive Large Neighborhood Search algorithm in [11].…”

Section: Literature Reviewmentioning

confidence: 99%

A path-based solution approach for the Green Vehicle Routing Problem

Bruglieri

Mancini

Pezzella

et al. 2019

Computers & Operations Research

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The Green Vehicle Routing Problem aims routing Alternative Fuel Vehicles, based at a depot, minimizing the total travel distance. Each vehicle handles a subset of customers, leaving from and returning to the depot, respecting a maximum duration and a distance traveled without refuels. We propose a two phases exact approach, composing each route through two/more paths. Each path serves a subset of customers without intermediate refuels. Dominance rules limit the number of feasible paths. Our approach, tested on benchmark instances, strongly outperforms the existing exact methods and it can be generalized to solve other VRP with Intermediate Stops.

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Section: Literature Reviewmentioning

confidence: 99%

A path-based solution approach for the Green Vehicle Routing Problem

Bruglieri

Mancini

Pezzella

et al. 2019

Computers & Operations Research

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“…Similar to Treitl et al, Konur [27] also formulated a carbon cap constraint on the total emissions, but his model considered emission characteristics of various trucks and no more charges for carbon emissions. Chen et al [28] extended the conventional IRP by considering the environmental impacts and heterogeneous vehicles, and a mixed-integer program with a comprehensive objective, which includes emission cost was constructed. Kuo et al [29] calculated the carbon footprint while using a totally different method in which product data from different stages of the life cycle are collected to calculate the carbon footprint using life cycle analysis method.…”

Section: Environmentally Conscious Inventory Routing Modelsmentioning

confidence: 99%

Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations

Yang

Qin

2019

Sustainability

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This paper studies the optimization of cold chain integrated inventory routing problem while considering carbon emissions. First, the carbon footprint in inventory and transportation process for cold chain logistics is accurately identified and quantified. Secondly, based on the carbon regulations, which are carbon cap, carbon cap and offset, carbon cap and trade, and carbon tax regulations, four green cold chain inventory routing optimization models that minimize the total cost are constructed, respectively. Subsequently, a genetic simulated annealing algorithm (GASA) is developed in order to efficiently solve the models, which combines the advantages of the two algorithms. The effectiveness of the algorithm and the models is verified by numerical comparison experiments. Further, a set of numerical experiments is conducted to examine in detail the effectiveness of each regulation with the change of cap, carbon price, and unit fuel price in order to investigate the difference of these regulations’ impacts on the cold chain logistics. The research results show that (a) the cap and price plays a relatively important role, for their value setting may even lead to the invalidation of the regulations and the development of the enterprises; (b) carbon cap and carbon tax regulations are more powerful when compared to the other two regulations, which reduce more carbon emissions, but also pose more challenge to the enterprises’ economic development; (c) overall, cap and trade regulation is better than cap and offset regulation, because, when the cap is not sufficient, the two regulations are almost as good, but when the cap is sufficient, the offset policy is invalid; and, (d) unlike the traditional logistics, the increase of unit fuel price will not reduce carbon emissions. Several practical managerial implications for government and enterprises are also provided based on research results.

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“…Hybrid GA and SA (HGS) are considered an effective method in routing problems integrated with inventory approaches (Karaoglan and Altiparmak 2010). The popular traditional approaches GA and PSO, two original methods of HGS, are considered the best evolutionary methods and swarm intelligent algorithms from population-based methods, respectively (Beheshti et al 2014;Cheng et al 2017). HPV developed by hybridisation of particle swarm optimisation (PSO) and variable neighbourhood search (VNS) is another effective approach in the IRP (Liu et al 2016).…”

Section: Validation Based On Previous Solution Benchmarksmentioning

confidence: 99%

The inventory-routing problem subject to vehicle failure

Jafarian

Asgari

Mohri

et al. 2019

Transportation Research Part E: Logistics and Transportation Re

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The problem of vehicle failure is introduced to the field of inventory-routing problems and formulated. Since the model is NP-hard, we have designed an adapted social-based algorithm with four scenarios to solve it. We have embedded the "global war" procedure into the algorithm to reduce the chance of being trapped in local optimum and premature convergence. For validation, the following benchmarking methods are enlisted: (i) comparing with four other metaheuristic algorithms which are all calibrated and their effectiveness and efficiency evaluated; (ii) comparing with a suggested lower-bound. Sensitivity analyses of the algorithm provide insights for academics and practitioners.

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Modeling a green inventory routing problem with a heterogeneous fleet

Cited by 80 publications

References 42 publications

A path-based solution approach for the Green Vehicle Routing Problem

A path-based solution approach for the Green Vehicle Routing Problem

Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations

The inventory-routing problem subject to vehicle failure

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