A hybrid decomposition algorithm for designing a multi-modal transportation network under biomass supply uncertainty

Poudel, Sushil; Marufuzzaman, Mohammad; Bian, Linkan

doi:10.1016/j.tre.2016.07.004

Cited by 44 publications

(9 citation statements)

References 54 publications

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“…Amiri (2006) considers the SCND problem with multiple levels of capacities available to facilities and develops another heuristic based on Lagrangian relaxation algorithm. Poudel et al (2016) study biomass co-firing supply chain network under feedstock supply uncertainty, and they present a hybrid algorithm based on sample average approximation and a progressive hedging algorithm. Ardalan et al (2016) study the SCND problem with multi-mode demand policies and develop a Lagrangian relaxation algorithm for the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

A Benders decomposition approach for a real case supply chain network design with capacity acquisition and transporter planning: wheat distribution network

2019

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This paper considers a real case problem of supply chain network design inspired from a wheat distribution network in Iran. It generates a network with capacity acquisition and fleet management. The problem first is formulated as a mixed integer linear programming model. Then, a logic-based Benders decomposition algorithm is appropriately developed as the solution methodology. In the presented algorithm, the problem is decomposed into two models of master and subproblem. The master problem is improved by means of the preprocessing and valid inequalities. Moreover, three Benders cuts, one optimality and two feasibility cuts, are developed for the algorithm. The general and relative performance of the model and algorithm is experimentally evaluated. A wheat distribution system of Iran is considered here as the case study of this research. The model is developed based on Iran's wheat distribution system. All the results show that the algorithm significantly outperforms the mathematical model of the case study. For example, the algorithm solves 95% of the tested instances to optimality, yet the model solves 29%.

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Section: Literature Reviewmentioning

confidence: 99%

A Benders decomposition approach for a real case supply chain network design with capacity acquisition and transporter planning: wheat distribution network

2019

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“…Review of literature suggest that there are a few studies that feature any multimodal transportation in the design of biomass based supply chains (e.g. Poudel et. al, 2016;Marufuzzaman et.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy ε-constraint method

Balaman

Matopoulos

Wright

et al. 2018

Journal of Cleaner Production

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Please cite this article as: Balaman ŞYı, Matopoulos A, Wright DG, Scott J, Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy ε-constraint method, AbstractDeveloping and employing effective design methodologies can significantly improve the economic and environmental viability of renewable production processes. This study contributes by presenting a novel bi-level decision support system (DSS) to aid modelling and optimization of multi technology, multi product supply chains and co-modal transportation networks for biomass based (bio-based) production combining two multi-objective mathematical models. Considering the supply chain configuration optimized by the first level of the DSS, in the second level, the transportation network is designed specifying the most appropriate transportation mode and related transportation option under transfer station availability limitations. A hybrid solution methodology that integrates fuzzy set theory and ε-constraint method is proposed. This methodology handles the system specific uncertainties addressing the economic and environmental sustainability aspects by capturing trade-offs between conflicting objectives in the same framework. To explore the viability of the proposed models and solution methodology, a regional supply chain and transportation network is designed using the entire West Midlands (WM) region of the UK as a testing ground. Additionally, scenario and sensitivity analyses are conducted to provide further insights into design and optimization of the biomass based supply chains.

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“…Their mathematical models integrate plant operations with transportation and other logistics-related decisions and thus assist in co-firing decisions by determining how much biomass should be used to replace coal at a plant level. More recently, Poudel et al suggested a two-stage stochastic programming model for the design and management of a biomass co-firing supply chain network under feedstock supply uncertainty ( 17 ). They extended prior optimization models by incorporating seasonality and uncertainty in the modeling framework under an assumption that a fixed ratio (6%) of coal would be replaced with biomass.…”

Section: Literature Reviewmentioning

confidence: 99%

Advanced Woody Biomass Logistics for Co-Firing in Existing Coal Power Plant: Case Study of the Great Lakes States

Lautala

2018

Transportation Research Record: Journal of the Transportation R

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One of the core decisions on securing the supply of biomass to co-firing power plants is the design of a proper logistics system. Though technologies have been developed to improve the characteristics of feedstock, their effects in the logistics systems have received less attention. This paper compares the conventional woody biomass logistics system with the advanced woody biomass logistics system that includes the torrefaction process to upgrade the feedstock. More specifically, this study uses a mixed integer linear program to integrate conventional and advanced biomass logistics and applies them to a case study of 26 coal power plants in the Great Lakes states to determine the most feasible logistics system for each plant. The results revealed that the amount of cost savings from the advanced woody biomass logistics depends on the capacity and location of the power plant. To categorize the cost savings of individual plants, it was found that plants can be divided into seven groups based on three parameters: 1) annual coal tonnage shipped (total capacity), 2) availability of biomass in the vicinity, and 3) average distance from biomass collecting sites. Overall savings from advanced logistics were small, but plants within each of the groups demonstrated similar cost reductions. The sensitivity analysis showed that trucking costs and feedstock purchasing costs were most sensitive to variation. From torrefaction effects, energy content after torrefaction had more significance than mass reduction.

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A hybrid decomposition algorithm for designing a multi-modal transportation network under biomass supply uncertainty

Cited by 44 publications

References 54 publications

A Benders decomposition approach for a real case supply chain network design with capacity acquisition and transporter planning: wheat distribution network

A Benders decomposition approach for a real case supply chain network design with capacity acquisition and transporter planning: wheat distribution network

Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy ε-constraint method

Advanced Woody Biomass Logistics for Co-Firing in Existing Coal Power Plant: Case Study of the Great Lakes States

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