A Multicriteria Analysis for the Green VRP: A Case Discussion for the Distribution Problem of a Spanish Retailer

Sawik, Bartosz; Faulín, Javier; Perez‐Bernabeu, Elena

doi:10.1016/j.trpro.2017.03.037

Cited by 63 publications

(25 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Furthermore, when public transportation systems are considered, cost and speed is another trade-off handled when citizens use transport integration [38]. The resolution of problems in the scope of green logistics is under discussion not only by the academia [39][40][41][42] but also by the industry [43,44], which basically involve different models for calculating the cost of the routes, involving other components in the objective function equation, such as carbon emissions [45,46]. Discussions under the scope of autonomous also involve batteries and fuel cell based equipment [47].…”

Section: Smart Routing Problems: Multi-objective Optimizationmentioning

confidence: 99%

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

et al. 2020

View full text Add to dashboard Cite

Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are being built in order to meet sustainability and efficiency criteria, as well as being adapted to the current possibilities. Moreover, citizens are becoming aware about the power and possibilities provided by the current generation of autonomous devices. In this sense, this paper presents and discusses state-of-the-art transportation technologies and systems, highlighting the advances that the concepts of Internet of Things and Value are providing. Decentralized technologies, such as blockchain, are been extensively investigated by the industry, however, its widespread adoption in cities is still desirable. Aligned with operations research opportunities, this paper identifies different points in which cities’ services could move to. This also study comments about different combinatorial optimization problems that might be useful and important for an efficient evolution of our cities. By considering different perspectives, didactic examples are presented with a main focus on motivating decision makers to balance citizens, investors and industry goals and wishes.

show abstract

Section: Smart Routing Problems: Multi-objective Optimizationmentioning

confidence: 99%

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

et al. 2020

View full text Add to dashboard Cite

show abstract

“…According to the prospect decision matrix, Equations (4)-(6), and Equations (8) and (9), and considering the loss aversion psychology and risk attitude of each expert, the normalized individual prospect value matrix of alternative i for three decision makers are as follows (Tables 4-6). According to Equations (6) and (7), the consensuses of the three alternatives were 0.9960, 0.9962, and 0.9959, which are all greater than the common thresholds of 0.9 (β = 0.9) and 0.95 (β = 0.95). The higher level of consensus shows the credibility of the decision making process.…”

Section: Results and Analysismentioning

confidence: 93%

“…Sixth, calculate the consensus degree based on the CPC. Use Equation (5) to aggregate the decision matrices V k ij of all the DMs, and then, calculate the CPC for each alternative through Equations (6) and (7). Seventh, according to the consensus degree threshold, adjust the difference or disagreement attribute to satisfy the accepted threshold.…”

Section: Dual Group Decision Fusion Mechanismmentioning

confidence: 99%

Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain

Yao

Yan

et al. 2018

Sustainability

View full text Add to dashboard Cite

Uncertain linguistic variables and scoring evaluations are two important evaluation mechanisms in the decision making field. Sustainability requirements for ship investment lead to the complexity of influence factors and the decision making process. The uncertain linguistic assessment features a large amount of ambiguity and subjectivity, while the scoring evaluation features high precision and distinct gradations. This paper constructs a criteria system in the green supply chain and proposes a dual group decision fusing mechanism for integrating the linguistic variable and scoring evaluation into a unified evaluation term. A hierarchical cloud of linguistic variable terms is constructed based on scoring via a reverse cloud generator, and then, the ship investment linguistic terms are transformed into prospect values. In addition, the consistency and investment selection performance are measured after aggregating the individual decision matrices for group decision making. The empirical research results on the selection of dry bulk carriers for investment show that dual group decision fusing mechanisms could effectively improve the consistency, decision making efficiency, and accuracy of dry bulk ship investment choices and reduce the cost of feedback adjustment for group decisions. In comparison with the trapezoidal fuzzy and fuzzy TOPSIS methods of group decision making, the proposed method performs better when there are a large number of alternatives.

show abstract

“…Existing works have covered vehicle routing problem (VRP) optimization and the profit distribution strategy [6,7]. These studies, however, mostly overlooked the coordination and cooperation process among commodity suppliers, logistics providers and customers.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Mechanism for Pickup and Delivery Problems with Heterogeneous Vehicles under Time Windows

et al. 2019

View full text Add to dashboard Cite

The sustainability and complexity of logistics networks come from the temporally and spatially uneven distributions of freight demand and supply. Operation strategies without considering the sustainability and complexity could dramatically increase the economic and environmental costs of logistics operations. This paper explores how the unevenly distributed demand and supply can be optimally matched through collaborations, and formulates and solves a Collaborative Pickup and Delivery Problem under Time Windows (CPDPTW) to optimize the structures of logistics networks and improve city sustainability and liverability. The CPDPTW is a three-stage framework. First, a multi-objective linear optimization model that minimizes the number of vehicles and the total cost of logistics operation is developed. Second, a composite algorithm consisting of improved k-means clustering, Demand-and-Time-based Dijkstra Algorithm (DTDA) and Improved Non-dominated Sorting Genetic Algorithm-II (INSGA-II) is devised to solve the optimization model. The clustering algorithm helps to identify the feasible initial solution to INSGA-II. Third, a method based on improved Shapley value model is proposed to obtain the collaborative alliance strategy that achieves the optimal profit allocation strategy. The proposed composite algorithm outperforms existing algorithms in minimizing terms of the total cost and number of electro-tricycles. An empirical case of Chongqing is employed to demonstrate the efficiency of the proposed mechanism for achieving optimality for logistics networks and realizing a win-win situation between suppliers and consumers.

show abstract

A Multicriteria Analysis for the Green VRP: A Case Discussion for the Distribution Problem of a Spanish Retailer

Cited by 63 publications

References 34 publications

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain

Collaborative Mechanism for Pickup and Delivery Problems with Heterogeneous Vehicles under Time Windows

Contact Info

Product

Resources

About