Integrated districting, fleet composition, and inventory planning for a multi-retailer distribution system

Konur, Dinçer; Geunes, Joseph

doi:10.1007/s10479-016-2338-6

Cited by 10 publications

(3 citation statements)

References 79 publications

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“…In addition, potential "good" missions can be determined by solving network optimization problems or districting [67]. As such, output districts-a group of nodes that could be visited by a single vehicle-serve as inputs to the set of missions, wherein a mission is either defined by a single or multiple cyclic routes corresponding to multiple trips or by a district with several possible cyclic routes.…”

Section: Limitationsmentioning

confidence: 99%

Transportation-Mission-Based Optimization of Heterogeneous Heavy-Vehicle Fleet Including Electrified Propulsion

et al. 2021

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Commercial-vehicle manufacturers design vehicles to operate over a wide range of transportation tasks and driving cycles. However, certain possibilities of reducing emissions, manufacturing and operational costs from end vehicles are neglected if the target range of transportation tasks is narrow and known in advance, especially in case of electrified propulsion. Apart from real-time energy optimization, vehicle hardware can be meticulously tailored to best fit a known transportation task. As proposed in this study, a heterogeneous fleet of heavy-vehicles can be designed in a more cost- and energy-efficient manner, if the coupling between vehicle hardware, transportation mission, and infrastructure is considered during initial conceptual-design stages. To this end, a rather large optimization problem was defined and solved to minimize the total cost of fleet ownership in an integrated manner for a real-world case study. In the said case-study, design variables of optimization problem included mission, recharging infrastructure, loading–unloading scheme, number of vehicles of each type, number of trips, vehicle-loading capacity, selection between conventional, fully electric, and hybrid powertrains, size of internal-combustion engines and electric motors, number of axles being powered, and type and size of battery packs. This study demonstrated that by means of integrated fleet customization, battery-electric heavy-vehicles could strongly compete against their conventional combustion-powered counterparts. The primary focus has been put on optimizing vehicle propulsion, transport mission, infrastructure and fleet size rather than routing.

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Section: Limitationsmentioning

confidence: 99%

Transportation-Mission-Based Optimization of Heterogeneous Heavy-Vehicle Fleet Including Electrified Propulsion

et al. 2021

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“…Rout et al constructed a sustainable supply chain inventory management model for a single supplier and multiple buyers, considering product deterioration and imperfect production under carbon emission constraints [34]. Konur et al constructed a mixed-integer nonlinear programming model considering zoning to study integrated regional partitioning and fleet composition [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Joint Optimal Production Planning in Supply Chains under Diverse Low-Carbon Policies

Bian

Lai

2023

Mathematics

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This paper studies the impact of diverse carbon emission regulations on optimal operation decisions by exploiting the economic production lot model of a multi-manufacturer system in a low-carbon environment. The optimal production planning for multiple enterprises in terms of cost optimization and carbon emission optimization are presented in various scenarios of the fully decentralized system under carbon taxation, cap and trade, and mandatory carbon cap. We prove a unified framework for modeling the scenarios enabled by carbon tax and cap-and-trade policies. Furthermore, the decision vector of the optimal production lot is obtained by analyzing the joint decision scenario based on shared carbon emission caps. We give a comparative analysis of two settings of fully decentralized and carbon quota sharing. The results show that the decision of joint production and stock preparation can reduce the total operational costs of the multi-enterprise system, but the realized carbon emissions may not change or only increase slightly. Our study provides a useful reference for government carbon emission regulation and enterprise operation decision optimization under carbon neutrality and a carbon peak environment.

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“…A variation of the problem that included a mix of new and old reusable items was introduced by (Gonzalez & Epstein, 2015) to maximize the expected present value of the fleet. A more integrated view of the problem was studied by (Konur & Geunes, 2019) whereby districting, fleet composition and inventory planning were simultaneously taken into account. The authors formulated a mixed integer nonlinear program that was solved using a column generation based heuristic approach.…”

Section: Introductionmentioning

confidence: 99%

Optimal Fleet Size And Mix For A Rental Car Company

Saadouli

2021

JABR

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In this paper, a linear programming model for optimizing the fleet size and mix for a rental car company is developed and solved. Rental car companies depend on their fleet of vehicles for generating the entirety of their income. Additionally, the investments required are typically very significant due to the high cost of vehicles. Consequently, the composition of the fleet could significantly affect the company’s profitability and sustainability in a volatile demand environment. Determining the optimal fleet size and mix has been the focus of research in particular in revenue and yield management and VRP streams. However, most models focused on cost minimization without taking into account the resale value of vehicles once retired from the fleet. This paper addresses the problem from a return maximization perspective while taking into account resale values of vehicles. Sensitivity analysis is carried out to gain further insight into the problem and enable the model to support the company’s management in refining the strategic plan.

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Integrated districting, fleet composition, and inventory planning for a multi-retailer distribution system

Cited by 10 publications

References 79 publications

Transportation-Mission-Based Optimization of Heterogeneous Heavy-Vehicle Fleet Including Electrified Propulsion

Transportation-Mission-Based Optimization of Heterogeneous Heavy-Vehicle Fleet Including Electrified Propulsion

Joint Optimal Production Planning in Supply Chains under Diverse Low-Carbon Policies

Optimal Fleet Size And Mix For A Rental Car Company

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