Vehicle routing problem with considering multi-middle depots for perishable food delivery

Rabbani, Masoud; Farshbaf‐Geranmayeh, Amir; Haghjoo, Nazanin

doi:10.5267/j.uscm.2016.3.001

Cited by 25 publications

(25 citation statements)

References 18 publications

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“…Hsu et al [11] considered the randomness of the perishable food delivery process with time windows to obtain optimal delivery routes, loads, fleet dispatching, and departure times for the delivery of perishable food products. Rabbani et al [12] established a VRP model that considered minimization of transportation costs and a minimum freshness level to improve profit in the context of different numbers of depots. ey considered different scenarios and described the routing problem based on the traditional transportation method.…”

Section: Literature About Perishable Product Distributionmentioning

confidence: 99%

“…e binary variable Z i is equal to 1 when community node i is delivered, and binary variable y k ij is equal to 1 when vehicle k visits node j immediately after node i. Binary variable O k is equal to 1 when vehicle k is used. s b represents the total packaging and refrigerant costs, which is calculated by equation (12). c k ij denotes the fuel cost of transportation from i to j by vehicle k, and it is calculated by equation (13).…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

“…In equation (12), let c 1 b denote the packaging cost of using package b, which is the relative packing area and is calculated by equation (14). c 2 b denotes the refrigerant costs of using package b, which is relative to the quality of the refrigerant and is calculated by equation (15).…”

Section: Objective Function and Constraintsmentioning

confidence: 99%

See 2 more Smart Citations

Integrated Thermal Insulation Packing and Vehicle Routing for Perishable Products in Community Group Purchase

Shui

Hui-min

2021

Discrete Dynamics in Nature and Society

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Two transportation modes have been used to solve the “last kilometer” delivery problem of perishable products in China. One mode involves the use of refrigerated vehicles, and the other involves transportation with nonrefrigerated vehicles but with thermal insulation packaging and phase-change refrigerants. In this paper, we studied the distribution of fresh products using nonrefrigerated vehicles under the community group purchase model. A new integrated model that can simultaneously select insulation packaging methods and vehicle paths was developed. We designed a heuristic algorithm based on genetic algorithm to solve larger-scale problems. We found that nonrefrigerated vehicle delivery was better than refrigerated vehicle delivery when neither the cost of the phase-change refrigerant nor the cost of packaging accounts for more than 50% of the total cost. There was an optimal balance between insulation packaging cost and shipping cost. The combination of thin and light packaging materials and high-efficiency cold storage materials could achieve the goals of ensuring the quality of fresh products and reducing transportation costs simultaneously.

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Section: Literature About Perishable Product Distributionmentioning

confidence: 99%

Section: Objective Function and Constraintsmentioning

confidence: 99%

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Integrated Thermal Insulation Packing and Vehicle Routing for Perishable Products in Community Group Purchase

Shui

Hui-min

2021

Discrete Dynamics in Nature and Society

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“…Morim et al [5] considered the constraints of multiple time windows and vehicle models and built a vehicle distribution path optimization model. Rabbani et al [6] studied the deterministic vehicle routing problem under multiple intermediate warehouses and proposed the concept of perishable food freshness to obtain the optimal distribution path. Zhang et al [7] designed a mathematical model of a cold chain logistic vehicle path with multiple vehicle fields and models and solved it by using the genetic algorithm and elite selection method.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions

Liu

Cheng

2021

Journal of Advanced Transportation

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Given the time-efficient characteristics of urban cold chain transportation and the time-varying characteristics of urban road speed, customers encounter the problem of limited vehicle path optimization due to a fuzzy time window. An optimization model of urban cold chain transportation with the objective function as the minimum total cost is constructed under the premise of service reliability, and an artificial immune particle swarm optimization algorithm is designed to solve the model. For an empirical analysis of Xiamen’s cold chain transportation, a two-stage solution involving “static optimization and dynamic optimization” is used to verify the effectiveness of the model and the practical value of this research. Results show that the time-varying model can effectively reflect the situation of urban road transportation and satisfy the timeliness requirement of urban cold chain transportation.

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“…Wang et al (2016) solved a multi-objective VRP with time windows and perishability considerations using a two-phase heuristic method based on a variable neighbourhood search and a genetic algorithm. Rabbani et al (2016) considered the use of multiple middle depots and incorporated several aspects, such as product freshness and profit maximisation into the objective function. They developed a genetic algorithm for the solution of large instances.…”

Section: Literature Reviewmentioning

confidence: 99%

Rethinking the food system: an Operations Research approach

Rohmer¹

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Food is a vital component of everyday life, however current consumption and production patterns pose a threat to the environment and the food security of future generations. Thus, with environmental burdens becoming more apparent and rising societal awareness, it is time to reconsider dietary choices and the food system behind it. This chapter presents a novel application of a network design problem, addressing sustainability issues in the context of the global food system. Taking into account several echelons and interlinkages between different food supply chains, the chapter broadens the scope of the considered network and incorporates sourcing, processing and transportation decisions within a common framework. While minimising different environmental and economic objectives, the model aims to maintain a sufficient dietary intake level. Consumption decisions are incorporated in the model through different types of consumer demands. The problem is formulated based on linear programming and further analysis is carried out by applying the-constraint method and compromise programming. Investigating alternative production and consumption scenarios as well as trade-offs between the conflicting objectives, the study is illustrated based on a nutritional case study and underpinned by real-life LCA data. The findings of this research are manifold, highlighting the importance of considering consumption and production decisions in an integrated and global setting. Moreover, the choice of sustainability indicator plays a crucial role given the often conflicting nature of different sustainability aspects.

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Vehicle routing problem with considering multi-middle depots for perishable food delivery

Cited by 25 publications

References 18 publications

Integrated Thermal Insulation Packing and Vehicle Routing for Perishable Products in Community Group Purchase

Integrated Thermal Insulation Packing and Vehicle Routing for Perishable Products in Community Group Purchase

Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions

Rethinking the food system: an Operations Research approach

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