Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model

Validi, Sahar; Bhattacharya, Arijit; Byrne, Peter

doi:10.1007/s10479-018-2887-y

Cited by 27 publications

(23 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AHP first lists all the relevant factors in the decision-making problem and then establishes an inter-related hierarchical structure [21][22][23]. Hierarchical analysis adopts the layer of factors above each level as the basis of evaluation for the next level -that is, any two factors of a certain level will serve as the criterion of the above level.…”

Section: Theory Of the Ahp Methodsmentioning

confidence: 99%

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Tsai

Wang

2019

Ecological Chemistry and Engineering S

View full text Add to dashboard Cite

The essence of low-carbon logistics is to make logistics capacity grow moderately to meet the requirements of social and economic developments and the goals of energy conservation and carbon reduction through logistics planning and policies, logistics rationalization and standardization, logistics informationization, low-carbon logistics technologies, etc. This study evaluates the performances of human resources in low-carbon logistics enterprises from three assessment facets: work ability, work performance, and work attitude. It adopts the AHP method to reasonably determine an indicator system of performance evaluation and its weight to avoid certain human-caused bias. According to the results herein, the low-carbon work attitude of the case company in recent years has produced good performance, but its low-carbon work performance and low-carbon work ability are both poor. The case company should practically implement and strengthen these indicators so as to enhance human resource performance in low-carbon logistics enterprises. This study establishes a human resources performance evaluation system for low-carbon logistics enterprises to measure the low-carbon working ability, work performance, and working attitude of their general staff. In this way, enterprises may understand their development status, improve development plans, and formulate the best human resources management and development decisions, thus positively guiding their future development.

show abstract

Section: Theory Of the Ahp Methodsmentioning

confidence: 99%

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Tsai

Wang

2019

Ecological Chemistry and Engineering S

View full text Add to dashboard Cite

show abstract

“…Some researchers considered the sustainability in the various forms while examining the several FSC problems like two-layer supply chain network design (Validi et al 2014a(Validi et al , 2015, location-routing (Validi et al 2018;Govindan et al 2014), fresh food distribution (Bortolini et al 2018) and beef/meat logistics network (Soysal et al 2014, Golini et al 2017. Majority of these studies have not simultaneously explored various practical features of food supply chain problems related to multi-period, heterogeneous capacitated vehicles and their limited availability, multiple sourcing, multi-modal transportation, capacitated warehouses, CO2 emission produced due to different reasons, and vehicle capacity constraints.…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Modelling of sustainable food grain supply chain distribution system: a bi-objective approach

Mogale

Cheikhrouhou

Tiwari

2019

International Journal of Production Research

View full text Add to dashboard Cite

Growing food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental aspects in food supply chain network design. This paper aims to develop a bi-objective decision support model for sustainable food grain supply chain distribution system considering an entire network of procurement centres, central, state and district level warehouses, and fair price shops. The model seeks to minimize the cost and carbon dioxide emission simultaneously. The model covers several problem peculiarities such as multi-echelon, multi-period, multi-modal transportation, emission caused due to various motives, heterogeneous capacitated vehicles and limited availability, multiple sourcing and distribution, and capacitated warehouses. Several different realistic problem instances are solved using the two Pareto based multi-objective algorithms. Sensitivity analysis results imply that the decision makers should establish the sufficient number of warehouses in each producing and consuming states by maintaining the suitable balance between the two objectives. Multiple policymakers like Food Corporation of India, logistics providers and state government agencies will be benefited from this research study.

show abstract

“…Location routing models are typical logistics problems which are generally complex NPhard combinatorial optimisation problems (Karp 1972;Nagy and Salhi 2007;Yu et al 2010). The three-echelon multi-objective location routing problems are NP-hard (Karp 1972;Perl 1983;Perl and Daskin 1985;Daskin et al 2005;Nagy and Salhi 2007;Hassanzadeh et al 2009;Yu et al 2010;Hamidi et al 2012;Validi et al 2020). This is because they combine two different conflicting-in-nature problems, viz.…”

Section: Introductionmentioning

confidence: 99%

“…The sustainable three-echelon bi-objective AHP-integrated 0-1 mixed integer locationrouting model reported in Validi et al (2020) (see "Appendix A") is NP-hard in nature. The model facilitates allocation of distribution centres (DCs) to plants and retailers to DCs.…”

Section: Introductionmentioning

confidence: 99%

“…MOGA-II (Multi-Objective Genetic Algorithm of kind II) (Quagliarella et al 1998) and NSGA-II (Non-dominated Sorted Genetic Algorithm-II) (Deb et al 2000), and a particle swarm (PS)-based optimiser, viz. MOPSO (Multiple Objective Particle Swarm Optimisation) (Alvarez-Benitez et al 2005) in an effort to find the most efficient meta-heuristics based solution method to solve the sustainable three-echelon bi-objective location-routing problem (BO-LRP) introduced in Validi et al (2020).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An evaluation of three DoE-guided meta-heuristic-based solution methods for a three-echelon sustainable distribution network

2020

Self Cite

View full text Add to dashboard Cite

This article evaluates the efficiency of three meta-heuristic optimiser (viz. MOGA-II, MOPSO and NSGA-II)-based solution methods for designing a sustainable three-echelon distribution network. The distribution network employs a bi-objective location-routing model. Due to the mathematically NP-hard nature of the model a multidisciplinary optimisation commercial platform, modeFRONTIER ® , is adopted to utilise the solution methods. The proposed Design of Experiment (DoE)-guided solution methods are of two phased that solve the NP-hard model to attain minimal total costs and total CO 2 emission from transportation. Convergence of the optimisers are tested and compared. Ranking of the realistic results are examined using Pareto frontiers and the Technique for Order Preference by Similarity to Ideal Solution approach, followed by determination of the optimal transportation routes. A case of an Irish dairy processing industry's three-echelon logistics network is considered to validate the solution methods. The results obtained through the proposed methods provide information on open/closed distribution centres (DCs), vehicle routing patterns connecting plants to DCs, open DCs to retailers and retailers to retailers, and number of trucks required in each route to transport the products. It is found that the DoE-guided NSGA-II optimiser based solution is more efficient when compared with the DoE-guided MOGA-II and MOPSO optimiser based solution methods in solving the biobjective NP-hard three-echelon sustainable model. This efficient solution method enable managers to structure the physical distribution network on the demand side of a logistics network, minimising total cost and total CO 2 emission from transportation while satisfying all operational constraints.

show abstract

Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model

Cited by 27 publications

References 101 publications

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Using a Novel Method to Evaluate the Performance of Human Resources in Green Logistics Enterprises

Modelling of sustainable food grain supply chain distribution system: a bi-objective approach

An evaluation of three DoE-guided meta-heuristic-based solution methods for a three-echelon sustainable distribution network

Contact Info

Product

Resources

About