A location-routing problem in glass recycling

Rahim, Fatih; Sepil, Canan

doi:10.1007/s10479-014-1621-7

Cited by 9 publications

(6 citation statements)

References 27 publications

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“…In this sense, the problem to be dealt with can be defined as a location-routing problem. Location routing problems are those for which it is necessary to decide simultaneously the location of facilities and the route of vehicles (VRP) (Rahim & Sepil, 2014).…”

Section: Literature On Distributed Recycling Networkmentioning

confidence: 99%

Closed loop supply chain network for local and distributed plastic recycling for 3D printing: a MILP-based optimization approach

Santander

Sanchez

Boudaoud

et al. 2020

Resources, Conservation and Recycling

122

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Recent research and initiatives increasingly propose a new approach, based on distributed plastic recycling for open-source (OS) 3D printing technologies, as a way to deal with the issue of plastic waste and to support the development of the Circular Economy (CE). Distributed recycling can be thought of as a sort of "smart grid", composed of small and coordinated recycling units. However, the operational complexity of this distributed approach limits its application. Furthermore, the environmental and economic advantages have yet to be demonstrated. This article therefore explores the economic and environmental feasibility of this distributed plastic recycling approach from a logistics perspective, as a step towards its validation. To achieve this, an optimization Mixed Integer Linear Programming (MILP) model was used as an evaluation tool, representing a local Closed Loop Supply Chain (CLSC) network. The proposed model is illustrated using a case study of a university seeking to implement a distributed recycling demonstrator in order to recover 3D printing wastes from secondary schools in the northeast of France. Following this step, a sensitivity analysis was carried out considering the market variations (price of virgin plastic filament) and the amount of available plastic waste derived from the schools. The results obtained show positive economic and environmental benefits of carrying out this new method of plastic recycling. This work serves as a basis for continuing to explore the feasibility and replication of the distributed plastic recycling network in other contexts.

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Section: Literature On Distributed Recycling Networkmentioning

confidence: 99%

Closed loop supply chain network for local and distributed plastic recycling for 3D printing: a MILP-based optimization approach

Santander

Sanchez

Boudaoud

et al. 2020

Resources, Conservation and Recycling

122

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“…It should be noted that a case study can be classified into more than one category. As shown in Table 6, the application of LRP models to optimize a case of waste management network planning (e.g., Rahim and Sepil, 2014;Sheriff et al 2014;Asefi et al, 2019;Hu et al, 2019) is by far the most popular study. Other popular application areas are emergency and disaster management (Rath and Gutjahr, 2014;Wang et al, 2014;Bozorgi-Amiri and Khorsi, 2016;Xu et al, 2016;Burkart et al, 2017;Veysmoradi et al, 2018;Wu et al, 2018;Liu et al, 2019a;Xiong et al, 2019), food distribution network planning (Solak et al, 2014;Hemmelmayr et al, 2017;Wu et al, 2017;Validi et al, 2018;Wang et al, 2018bWang et al, , 2018cChao et al, 2019;Saragih et al, 2019), and city logistics (Zhou et al, 2016; Zhou et al, 2017;Wang et al, 2018b;Chao et al, 2019;Rodriguez et al, 2019;Saragih et al, 2019;Schmidt et al, 2019).…”

Section: Type Of Studymentioning

confidence: 99%

“…A handful of publications also consider minimizing the inventory cost (11.26%) due to the emergence of ILRP model (e.g., Govindan et al, 2014;Guerrero et al, 2015;Kechmane et al, 2018b;Rabbani et al, 2019), which integrates the inventory decision into an LRP model. In terms of monetary objectives, it is observed that several works have started to consider maximizing the profit of the whole system (Rahim and Sepil, 2014;Vidović et al, 2016;Hemmelmayr et al, 2017;Ahmadi-Javid et al, 2018;Aydemir-Karadag, 2018;Setak et al, 2018;Dorrington and Olsen, 2019;Etebari, 2019;Hosseini et al, 2019), by incorporating the revenue aspect into the objective function. This approach has been discussed mainly in waste management domain (Rahim and Sepil, 2014;Hemmelmayr et al, 2017;Aydemir-Karadag, 2018), and one of its creative implementation in the asteroid mining supply chain is also found (Dorrington and Olsen, 2019).…”

Section: Objective Functionmentioning

confidence: 99%

“…Some works have tried to incorporate the revenue management issue into the LRP by considering the revenue from delivered products and maximizing the global profit of the logistics networks (e.g., Rahim and Sepil, 2014;Vidović et al, 2016;Ahmadi-Javid et al, 2018;Aydemir-Karadag, 2018;Setak et al, 2018;Hosseini et al, 2019). These works have answered the concern of Drexl and Schneider (2015) on the integration of revenue management concept into the LRP.…”

Section: Modeling Point Of Viewmentioning

confidence: 99%

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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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“…Among the variants of LRP, the CLRP has recently emerged as one of the most addressed, initiated in Ref. [12], applied in many practical applications, such as, glass recycling [13], food distribution [14], obnoxious waste [15], disaster relief [16], and so on. Several surveys on CLRP are provided in Refs.…”

Section: Location-routing Problemmentioning

confidence: 99%

Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery

et al. 2020

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This paper presents an evolution-based hyperheuristic (EHH) for addressing the capacitated location-routing problem (CLRP) and one of its more practicable variants, namely, CLRP with simultaneous pickup and delivery (CLRPSPD), which are significant and NP-hard model in the complex logistics system. The proposed approaches manage a pool of low-level heuristics (LLH), implementing a set of simple, cheap, and knowledge-poor operators such as “shift” and “swap” to guide the search. Quantum (QS), ant (AS), and particle-inspired (PS) high-level learning strategies (HLH) are developed as evolutionary selection strategies (ESs) to improve the performance of the hyperheuristic framework. Meanwhile, random permutation (RP), tabu search (TS), and fitness rate rank-based multiarmed bandit (FRR-MAB) are also introduced as baselines for comparisons. We evaluated pairings of nine different selection strategies and four acceptance mechanisms and monitored the performance of the first four outstanding pairs in 36 pairs by solving three sets of benchmark instances from the literature. Experimental results show that the proposed approaches outperform most fine-tuned bespoke state-of-the-art approaches in the literature, and PS-AM and AS-AM perform better when compared to the rest of the pairs in terms of obtaining a good trade-off of solution quality and computing time.

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A location-routing problem in glass recycling

Cited by 9 publications

References 27 publications

Closed loop supply chain network for local and distributed plastic recycling for 3D printing: a MILP-based optimization approach

Closed loop supply chain network for local and distributed plastic recycling for 3D printing: a MILP-based optimization approach

Location‐routing problem: a classification of recent research

Evolutionary Hyperheuristics for Location-Routing Problem with Simultaneous Pickup and Delivery

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