Solving a bi-objective Transportation Location Routing Problem by metaheuristic algorithms

Martínez-Salazar, Iris; Molina, Julián; Ángel-Bello, Francisco; Gómez, Trinidad; Caballero, Rafael

doi:10.1016/j.ejor.2013.09.008

Cited by 101 publications

(40 citation statements)

References 28 publications

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“…This social objective was also presented by Martínez-Salazar et al (2014) in a two stage transportation location routing problem. They tried to minimize the number of trucks based on the truck capacity in the first stage and balancing the routes for city drivers in the second stage.…”

Section: Literature Reviewmentioning

confidence: 99%

A sustainable transportation-location-routing problem with soft time windows for distribution systems

Rabbani¹,

Navazi²,

Farrokhi-Asl³

et al. 2018

10.5267/j.uscm

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Section: Literature Reviewmentioning

confidence: 99%

A sustainable transportation-location-routing problem with soft time windows for distribution systems

Rabbani¹,

Navazi²,

Farrokhi-Asl³

et al. 2018

10.5267/j.uscm

View full text Add to dashboard Cite

“…Subsequently, various variants of the LRP emerge [4], such as multi-echelon LRP [5], LRP with pickup and delivery [6], LRP with time windows [7], transportation LRP [8], and dynamic LRP [9]. However, similar to the VRP, those studies almost focus on distribution system, particularly, non-fully loaded shipments.…”

Section: Introductionmentioning

confidence: 99%

“…Constraint (5) guarantees that the trips of heavy vehicles on an arc match the volumes of raw materials to be transported. Constraints (7), (8), and (9) guarantee the continuity of each route. Equation (10) indicates that no empty vehicle travels to plants and (11) indicates that no heavy vehicle travels to suppliers.…”

Section: Formulationsmentioning

confidence: 99%

The Location-Routing Problem with Full Truckloads in Low-Carbon Supply Chain Network Designing

Chen

Qiu

2018

Mathematical Problems in Engineering

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In recent years, low-carbon supply chain network design has been the focus of studies as the development of low-carbon economy. The location-routing problem with full truckloads (LRPFT) is investigated in this paper, which extends the existing studies on the LRP to full truckloads problem within the regional many-to-many raw material supply network. A mathematical model with dual objectives of minimizing total cost and environmental effects simultaneously is developed to determine the number and locations of facilities and optimize the flows among different kinds of nodes and routes of trucks as well. A novel multiobjective hybrid approach named NSGA-II-TS is proposed by combining a known multiobjective algorithm, NSGA-II, and a known heuristics, Tabu Search (TS). A chromosome presentation based on natural number and modified partially mapping crossover operator for the LRPFT are designed. Finally, the computational effectiveness of the hybrid approach is validated by the numerical results and a practical case study is applied to demonstrate the tradeoff between total cost and CO 2 emission in the LRPFT.

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“…About half of the mentioned papers put forward a new mathematical extension in addition to the solution algorithm. The majority of the LRP models belong to mixed-integer linear programming class, with only three nonlinear models of this type being found in the literature [35][36][37]. The other major categorization is the stochasticity of the proposed models.…”

Section: Location Routing Problemsmentioning

confidence: 99%

The New Generation of Operations Research Methods in Supply Chain Optimization: A Review

Pourhejazy

Kwon

2016

Sustainability

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Abstract:The possibilities of applying Operations Research (O.R.) techniques in the design of real-world systems are vast. The optimization and design of the supply chain network (SCN) is one of the relevant topics that has directed the attention of many scholars. Sound decisions in this regard, including the proper selection of the facility's location, transportation modes and routes and inventory management policies, can noticeably improve the systems performance. Over 380 articles published between 2005 and 2016 in the ISI/Web of Science database have applied advanced O.R. techniques in SCN optimization studies. This paper offers a systematic review of these published contributions by focusing on two categories of O.R. approaches most recently applied for the design of SC systems: integrated mathematical modeling and simulation-optimization (S-O) frameworks. A taxonomy analysis of the mentioned approaches is presented based on the supply chain elements. A bibliometric analysis is also conducted to provide technical insights into the possible gaps in the field. Moreover, the relevant studies on SC sustainability are highlighted. The research results are supportive of the S-O frameworks as either an alternative approach or an effective solution method for the integrated problems. The research outcomes can provide researchers in the field with useful details of the integrated problems and S-O frameworks as the most recent O.R. methodologies in the field of SC optimization.

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Solving a bi-objective Transportation Location Routing Problem by metaheuristic algorithms

Cited by 101 publications

References 28 publications

A sustainable transportation-location-routing problem with soft time windows for distribution systems

A sustainable transportation-location-routing problem with soft time windows for distribution systems

The Location-Routing Problem with Full Truckloads in Low-Carbon Supply Chain Network Designing

The New Generation of Operations Research Methods in Supply Chain Optimization: A Review

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