Modelling and solving the bi-objective production–transportation problem with time windows and social sustainability

Shahrabi, Fatemeh; Tavakkoli–Moghaddam, Reza; Triki, Chefi; Pahlevani, Mahsa; Rahimi, Yaser

doi:10.1093/imaman/dpab008

Cited by 4 publications

(1 citation statement)

References 56 publications

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“…To compute the impact of road gradient on pollutant emissions, Dhital et al [28] propose adopting the height profile instead of the elevation of each single node, since this latter does not account for the height variation during the path. However, the literature review on routing problems shows that sustainability is mainly considered from the environmental point of view, with limited focus on its social aspects [29]. Some researchers deal with social sustainability in terms of route balancing among drivers [30].…”

Section: Literature Reviewmentioning

confidence: 99%

Tri-Objective Vehicle Routing Problem to Optimize the Distribution Process of Sustainable Local E-Commerce Platforms

Pilati,

Tronconi

2024

Sustainability

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The dramatic growth of online shopping worldwide in the last few years generated negative consequences for local small retailers who do not adopt information technologies. Furthermore, the e-commerce sector is considered a good opportunity to develop sustainable logistic processes. To reach this goal, the proposed paper presents a mathematical model and a metaheuristic algorithm to solve a multi-objective capacitated vehicle routing problem (CVRP) distinguished by economic, green, and ethical objective functions. The proposed algorithm is a multi-objective simulated annealing (MOSA) that is implemented in a software architecture and validated with real-world instances that differ for the product type delivered and the geographic distribution of customers. The main result of each test is a tri-dimensional Pareto front, i.e., a decision-support system for practitioners in selecting the best solution according to their needs. From these fronts, it can be observed that if the economic and environmental performances slightly deteriorate by 1.6% and 4.5%, respectively, the social one improves by 19.4%. Furthermore, the developed MOSA shows that the environmental and social objective functions depend on the product dimensions and the geographic distribution of customers. Regarding the former aspect, this paper reports that, counter-intuitively, the metabolic energy consumption per driver decreases with bigger products because the number of necessary vehicles (and drivers) increases, and, thus, the workload is divided among more employees. Regarding the geographic distribution, this manuscript illustrates that, despite similar traveled distances, highly variable altitudes cause more carbon emissions compared to flat distributions. Finally, this contribution shows that delivering small goods decreases the distance that vehicles travel empty by 59%, with a consequent cost reduction of 16%.

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Section: Literature Reviewmentioning

confidence: 99%

Tri-Objective Vehicle Routing Problem to Optimize the Distribution Process of Sustainable Local E-Commerce Platforms

Pilati,

Tronconi

2024

Sustainability

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Solving a hub location-routing problem with a queue system under social responsibility by a fuzzy meta-heuristic algorithm

et al. 2021

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This paper presents a new multi-objective mathematical model for the hub location and routing problem under uncertainty in flows, costs, times and number of job opportunities. This model aims at minimizing the total transportation cost consisting of routing and fixed cost, and maximizing the employment and regional development as social responsibility. An M/M/c/K queue system is applied to estimate the waiting time at hub nodes and maximize the responsiveness. In addition, a fuzzy queuing method is applied to model the uncertainties in this network. A powerful evolutionary meta-heuristic algorithm based on the fuzzy invasive weed optimization (FIWO), variable neighborhood search (VNS) and game theory is developed to solve the introduced model and obtain near-optimal Pareto solutions. Many experiments as well as a real transportation case-study show the superiority of the proposed approaches compared to the state-of-the-art algorithm.

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Solving the winner determination problem with discounted bids in transportation auctions

2023

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Continuing advances in modern technologies have transformed the procedure of transportation procurement through auctions in supply chain management (SCM). This study examines the online combinatorial auction (CA), which serves customers placed at the nodes of a transportation network, with particular consideration given to carbon emissions. The CA mechanism allows early shipments of the carriers to improve their load consolidation and reduce their repositioning trips. Sustainability and carbon emissions are considered by prioritizing the carrier’s carbon reduction performances. Two models are examined under the carbon emission regulations (Carbon tax and Cap-and-offset) to choose the winners in the CA. Our aim is to minimize the cost of transportation procurement and reduce carbon emissions by incorporating the green reputation-based winner determination problem within the procurement model. Computational experiments reveal the positive impact of prioritization and discounted offers in reducing both transportation costs and the number of empty trips. Indeed, our results show the introduction of the discounted bids allows a reduction of about 2% in the transportation cost for the shipper and 24% of empty movements, on average, for the carriers.

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Modelling and solving the bi-objective production–transportation problem with time windows and social sustainability

Cited by 4 publications

References 56 publications

Tri-Objective Vehicle Routing Problem to Optimize the Distribution Process of Sustainable Local E-Commerce Platforms

Tri-Objective Vehicle Routing Problem to Optimize the Distribution Process of Sustainable Local E-Commerce Platforms

Solving a hub location-routing problem with a queue system under social responsibility by a fuzzy meta-heuristic algorithm

Solving the winner determination problem with discounted bids in transportation auctions

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