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

Rabbani, Masoud; Navazi, Fatemeh; Farrokhi-Asl, Hamed; Balali, Farhad

doi:10.5267/j.uscm.2017.12.002

Cited by 32 publications

(32 citation statements)

References 28 publications

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“…Meanwhile, 5.86% works deal with the case when customer nodes require either delivery or pickup services (e.g., Sun, 2015;Dukkanci and Kara, 2017;Mousavi and Vahdani, 2017). Numerous works have incorporated the presence of time window constraints in their models, either in the form of soft time window constraints (e.g., Rabbani et al, 2018a;Veysmoradi et al, 2018;Wang et al, 2018bWang et al, , 2018cHu et al, 2019) as found in 6.31% works, or hard time window constraints (e.g., Ceselli et al, 2014;Koç et al, 2016a;Basirati et al, 2019;Capelle et al, 2019;Koç et al, 2019) as indicated in 16.67% works. The presence of time windows in LRP is proven to be a realistic attribute that should be considered by the decision maker in several time-sensitive domain areas, such as agriculture (Akararungruangkul and Kaewman, 2018), food distribution (Wu et al, 2017), disaster relief distribution, (Liu et al, 2019a), and healthcare logistics (Ceselli et al, 2014).…”

Section: Scenario Characteristicsmentioning

confidence: 99%

“…The environmental issue of logistics received much attention from the LRP research community recently. The impact of logistics activities to the surrounding environment is addressed in several works either by the minimization of CO 2 emission incurred (e.g., Govindan et al, 2014;Tang et al, 2016;Chen et al, 2018;Leng et al, 2018;Rabbani et al, 2018a;Leng et al, 2019aLeng et al, , 2019bLu et al, 2019b) as shown in 9.05% articles, or the minimization of fuel consumption (Akararungruangkul and Kaewman, 2018;Dukkanci et al, 2019;Khalafi and Zarei, 2019;Zhang et al, 2019b) related to the transportation cost of the system. The environmental issue discussed is not only restricted to the emission impact but also the negative risk that may be incurred from the decisions within an LRP model.…”

Section: Objective Functionmentioning

confidence: 99%

“…From the customers' perspective, Bozorgi-Amiri and Khorsi (2016) and Liu et al (2019a) considered minimizing the maximum demand shortage of a customer, in order to construct a fair allocation policy for relief distribution in a postearthquake, and for each demand point to receive a similar proportion of goods. Meanwhile, from the workers' perspective, it is observed that several works have attempted to balance the distance traveled by each vehicle (Martinez-Salazar et al, 2014;Golmohammadi et al, 2016;Rabbani et al, 2018a;Hadian et al, 2019;Basirati et al, 2019), the working time of each vehicle (Zhang et al, 2018;Liu et al, 2019a;Mara et al, 2019;Xiong et al, 2019), or the workload of each facility (Khalili-Damghani et al, 2015).…”

Section: Objective Functionmentioning

confidence: 99%

See 2 more Smart Citations

Location‐routing problem: a classification of recent research

Mara

Kuo

Asih

2021

Int Trans Operational Res

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The location-routing problem (LRP) and its variants have been studied extensively over the past few years. The number of articles has grown more than ever, since the last surveys. Therefore, this study aims to perform a review of recent LRP research from 222 academic literature published from 2014 to 2019. The analysis of publication intensity, problem characteristics, solution methods, and application areas was executed to draw the state-of-the-art of LRP research. As the main contributions to this study, a new taxonomy was proposed to capture some recently emerging issues in LRP and some suggestions for future research were listed and discussed.

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Section: Scenario Characteristicsmentioning

confidence: 99%

Section: Objective Functionmentioning

confidence: 99%

Section: Objective Functionmentioning

confidence: 99%

See 1 more Smart Citation

Location‐routing problem: a classification of recent research

Mara

Kuo

Asih

2021

Int Trans Operational Res

View full text Add to dashboard Cite

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“…Time windows ensure that each customer is visited within a specific time interval. The LRPTW includes three well-known types: (1) The LRP with hard time windows (LRPHTW), in which customers must be served within specific time windows (Wasner, Zäpfel 2004;Schittekat, Sörensen 2009;Gündüz 2011;Farham et al 2018); (2) The LRP with soft time windows (LRPSTW), in which customers can be served outside of their time windows with a penalty (Nikbakhsh, Zegordi 2010;Gharavani, Setak 2015;Rabbani et al 2018); (3) The LRP with one-sided hard time windows or deadlines (LRPD) (Aksen, Altinkemer 2008). In hard time windows, the vehicle can arrive at customers early.…”

Section: Introduction and Problem Definitionmentioning

confidence: 99%

A Mathematical Model for the Capacitated Location-Arc Routing Problem With Deadlines and Heterogeneous Fleet

et al. 2019

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This paper considers a Capacitated Location-Arc Routing Problem (CLARP) with Deadlines (CLARPD) and a fleet of capacitated heterogeneous vehicles. The proposed mixed integer programming model determines a subset of potential depots to be opened, the served roads within predefined deadlines, and the vehicles assigned to each open depot. In addition, efficient routing plans are determined to minimize total establishment and traveling costs. Since the CLARP is NP-hard, a Genetic Algorithm (GA) is presented to consider proposed operators, and a constructive heuristic to generate initial solutions. In addition, a Simulated Annealing (SA) algorithm is investigated to compare the performance of the GA. Computational experiments are carried out for several test instances. The computational results show that the proposed GA is promising. Finally, sensitivity analysis confirms that the developed model can meet arc routing timing requirements more precisely compared to the classical Capacitated Arc Routing Problem (CARP).

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“…The strategic nature of sourcing decisions necessitates the consideration of tangible and intangible criteria and the application of elaborated methods for supplier selection. There are many instances of developing integrated methods such as mathematical programming, Analytic Hierarchy Process (AHP), ANP, and fuzzy sets for supplier selection (Wu & Pagell, 2011;Rabbani et al, 2018). This paper seeks to (i) identify and select the important criteria and their interrelationships in the three dimensions of sustainability, and (ii) rank the suppliers according to the elicited criteria.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach to evaluate suppliers in a sustainable supply chain

Petrudi¹,

Abdi²,

Goh³

2018

10.5267/j.uscm

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The purpose of this paper is to propose an integrated multiple criteria decision making (MCDM) approach to analyze interrelationships among sustainability criteria, weight them, and then evaluate suppliers according to these criteria. Data were collected through interviewing with seven experts who are involved in the procurement department of the case. Interpretive structural modelling (ISM), and pairwise comparison questionnaire are used to elicit the existence, strength of relationships among criteria and then weight them by using Fuzzy (Decision Making Trial and Evaluation Laboratory (FDEMATEL), Fuzzy Preference Programming (FPP), and Analytical Network Process (ANP). Then, Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is employed to evaluate suppliers based on identified and analyzed sustainability criteria. This study provides several implications for practitioners and scholars. First, the results show the efficiency of the proposed approach in practice. Second, respondents state that the proposed approach was very useful in decision making based on interrelationships among criteria, alternatives and policies. Third, findings validate the significant difference in rankings with or without considering interdependencies among criteria.

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

Cited by 32 publications

References 28 publications

Location‐routing problem: a classification of recent research

Location‐routing problem: a classification of recent research

A Mathematical Model for the Capacitated Location-Arc Routing Problem With Deadlines and Heterogeneous Fleet

An integrated approach to evaluate suppliers in a sustainable supply chain

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