A multiobjective model for the green capacitated location-routing problem considering drivers’ satisfaction and time window with uncertain demand

Alamatsaz, Kayhan; Ahmadi, Abbas; Al-e-hashem, S.M.J. Mirzapour

doi:10.1007/s11356-021-15907-x

Cited by 23 publications

(11 citation statements)

References 36 publications

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“…Among the various environmental externalities generated by the logistics networks operation, emission of greenhouse gases has been the most addressed in multi-objective LRPs. Different authors have addressed bi-objective approaches considering the minimization of transportation cost and CO2 emissions (Alamatsaz, Ahmadi & Mirzapour-Al-e-hashem, 2022;Heidari, Imani, Khalilzadeh & Sarbazvatan, 2022). Ouhader and El-Kyal (2017) consider a two-echelon LRP defining as objectives the maximization of created job opportunities besides the minimization of total cost and CO2 emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

Considering sustainability and resilience in a location-routing problem

Figueiredo,

Lopes

2024

JIEM

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Purpose: Sustainability and resilience have emerged as two important topics. Consumers and governmental entities are becoming increasingly aware of the existing environmental and social issues, motivating companies to adopt more sustainable practices. In addition, the uncertainty and unpredictability that characterize today's competitive environment force companies to be able to handle disruptions efficiently. Despite this, when looking at some classes of problems in literature, cost is still the most, or even the only, objective addressed. This work analyses the integration of sustainability and resilience concerns in a class of problems that is often found in logistics, the Location-Routing Problem (LRP).Design/methodology/approach: A multi-objective LRP is addressed with the following objectives: minimization of the total cost of the logistics network, minimization of the environmental impact of CO2 emissions, and maximization of the resilience of the distribution network. Aiming to explore the effect that designing a more sustainable and resilient distribution network can have on its operating costs, the ?-constraint method is applied.Findings: Results show that resilience and environmental impacts, from a practical point of view, should not be considered in isolation, as they can have significant impacts on costs. Nevertheless, it is conceivable to design logistics networks that ensure a good compromise between operating costs, environmental impacts, and resilience to disruptions.Originality/value: This paper is an exploratory study addressing a new type of location-routing problem which, besides the usual cost objective, considers sustainability and resilience as objectives. The paper evaluates the sensitivity of the costs of logistics networks to the improvement of their resilience and sustainability. A new multi-objective formulation is proposed for this class of problems, tested in instances based on real-world data. The paper may provide important managerial insights for designing sustainable and resilient logistics networks.

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Section: Literature Reviewmentioning

confidence: 99%

Considering sustainability and resilience in a location-routing problem

Figueiredo,

Lopes

2024

JIEM

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“…As Fig. 7 shows, the solution methods of facility location related optimisation problems include a wide range of algorithms: particle swarm optimisation [2,9], time-dependent forward dynamic programming algorithm [3], arbitrary insertion [4], genetic algorithm [4,8,28], machine learning [5], Fuzzy set [6,7], progressive hedging algorithm [8], branch and bound [22], grey wolf optimisation [24], nondominated sorting genetic algorithm [25], simulation-based genetic algorithm [13], genetic algorithm with migration operation [27], distributive algorithms [30], clustering [31], analytical methods [29], ant colony optimisation [32], Lagrangian relaxation [33] and software tools [34].…”

Section: Literature Reviewmentioning

confidence: 99%

Layout optimization of a multi-centre distribution mode

Vereš

Bányai

2023

ALS

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Supply chain planning is becoming increasingly important today, as it is essential for efficient operations to design supply chains that are flexible, sustainable, highly available and able to respond quickly and efficiently to dynamically changing customer needs, while operating cost-effectively. When designing supply chains, it is important to consider not only the investment cost but also the operational cost. This requires the most accurate forecasting of future supply chain needs. In this paper, the authors present a new method for the optimal design of a multicentre distribution network, which uses evolutionary optimisation and Monte Carlo simulation to determine the optimal distribution network structure in an arbitrary geographical area. The design takes into account investment and operational costs, with particular emphasis on the question of how to estimate the average transportation distances in a distribution network with an unknown structure.

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“…Li et al [22] established a multi-objective location model for a cold chain logistics distribution center considering carbon emissions. Alamatsaz et al [23] studied the low-carbon location-routing problem by considering time window and carbon emissions at the same time. In addition, scholars have also carried out relevant research on location differences, decision-making methods, uncertain demands, and other aspects.…”

Section: Physical Store Locationmentioning

confidence: 99%

“…The objective (23) represents the minimum total cost of the enterprise. Constraint (24) indicates the limitation in the number of physical stores.…”

Section: Objective Functionmentioning

confidence: 99%

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Wan

Zhang

Liu

et al. 2022

JTAER

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With the continuous upgrading of consumer demand and retail modes, more and more retailers are switching to an omnichannel retail mode. In order to study the location problem of offline physical stores of online retail enterprises that plan to implement the BOPS (Buy Online and Pickup in Store) omnichannel retail model, this paper considers consumers’ choice behavior under the omnichannel retail model; uses the MNL (Multinomial Logit) model to depict customers’ choice behavior between the online channel, BOPS channel, and offline physical channel; and constructs a location optimization model of offline physical stores with the goal of minimizing the enterprise’s cost. According to the characteristics of the model, an improved genetic algorithm was designed; the algorithm was improved on chromosome selection mode, crossover, and mutation rules. Finally, an example is calculated, and the physical store location scheme of a retail enterprise and the vehicle routing optimization scheme under the two-level distribution network are obtained, which verifies the effectiveness of the model and algorithm and provides a scientific reference for the physical store location decision of online retail enterprises planning to implement the BOPS omnichannel retail model. The impact of freight, return rate, and service level of physical stores on the location of offline physical stores is analyzed. The results show that in the process of expanding offline physical stores to implement the BOPS omnichannel retail model, online retail enterprises can reduce enterprise costs by improving the freight level and service level of the physical store. The higher the return rate of the online channel, the more necessary it is to expand offline physical stores, and the lower the enterprise cost. At the same time, management suggestions are put forward for the enterprise operation under the BOPS omnichannel retail mode.

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A multiobjective model for the green capacitated location-routing problem considering drivers’ satisfaction and time window with uncertain demand

Cited by 23 publications

References 36 publications

Considering sustainability and resilience in a location-routing problem

Considering sustainability and resilience in a location-routing problem

Layout optimization of a multi-centre distribution mode

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

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