Sustainable network design for multi-purpose pellet processing depots under biomass supply uncertainty

Quddus, Abdul; Hossain, Niamat Ullah Ibne; Marufuzzaman, Mohammad; Jaradat, Raed; Roni, Mohammad

doi:10.1016/j.cie.2017.06.001

Cited by 57 publications

(11 citation statements)

References 53 publications

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“…Economic dimension: The majority of the related literature considers the economic dimension as the objective function while representing the environmental [9,62,86,87], or environmental and social dimensions [88,89], in terms of constraints. The economic objectives mostly consider the cost aspect, such as minimizing the total supply chain cost, which may include capital [72], operational [31,90], production [85], distribution [91], and transportation costs [92].…”

Section: Mathematical Modelsmentioning

confidence: 99%

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

Madani,

Saihi,

Abdelfatah

2024

Sustainability

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In response to the ever-increasing pursuit of competitiveness among organizations in today’s global business landscape, the subject of supply chain management has become a vital domain encompassing a wide range of sectors and industries across the economy. The growing concern about sustainable development has prompted public and private supply chain players to incorporate the three pillars of sustainability, namely, economic, environmental, and social, into the design of their supply chain networks. This study reviews and examines the content of 102 relevant papers to discuss the mathematical models, modeling approaches, and solutions that have been explored in the existing literature on forward sustainable supply chain network design. This paper also investigates the sustainability elements and supply chain network peculiarities including design factors and decision levels. In this review, several limitations in the current literature on sustainable supply chain network design optimization models are highlighted. According to the analysis, it was found that a better understanding of the industry and its sustainability requirements and priorities is essential for designing sustainable supply chain networks that are tailored to the needs of a specific industry rather than achieving general sustainability objectives. In addition, integrating strategic, tactical, and operational decision levels in the design of supply chain networks is critical for evaluating their impact on each other in terms of sustainability. More sophisticated mathematical solution methods for dealing with real-life scenarios including nonlinearity and uncertainty sources are required. The paper concludes with new prospects of research to promote a better integration of sustainability into supply chain networks.

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Section: Mathematical Modelsmentioning

confidence: 99%

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

Madani,

Saihi,

Abdelfatah

2024

Sustainability

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“…CCP has been used in a handful of biofuel supply chain analysis. [50] formulated a chance constrained model to determine a biofuel supply chain network while ensuring that the probability of utilizing certain amount municipal wastes was satisfied. [51] demonstrates the use of CCP with multiple distribution assumptions for biofuel demand.…”

Section: Chance Constrained Programming and Application In Biofuel Supply Chain Researchmentioning

confidence: 99%

Analyzing the Trade-Offs between Meeting Biorefinery Production Capacity and Feedstock Supply Cost: A Chance Constrained Approach

et al. 2021

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Commercial-scale switchgrass production for cellulosic biofuel remains absent in U.S. A well-recognized difficulty is the steady provision of high-quality feedstock to biorefineries. Switchgrass yield is random due to weather and growing conditions, with low yields during establishment years. Meeting biorefinery production capacity requirements 100% of the time or at any other frequency requires contracting sufficient amount of agricultural land areas to produce feedstock. Using chance-constrained programming, the trade-offs between the degree of certainty that refinery demand for feedstock and the cost of contracting production acreage is assessed. Varying the certainty from 60% to 95%, we find the costs of production, logistics and transportation ranged from 27% to 96% of the cost of 100% certainty. Investors and managers need to consider the cost of certainty of biomass acquisition when contracting for production acreage.

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“…Constraints (4) indicate that the demand for biofuel can be fulfilled either through the distribution network or through substitute products available in the market. Constraints (5) indicate that the total amount of biomass shipped through a multi-modal facility is limited by its capacity c cap lj . Constraints (6) count the number of containers needed for shipping biomass on each arc (j, k) ∈ A 2 .…”

Section: Symbol Description η Ljtmentioning

confidence: 99%

“…Designing an efficient and robust biofuel supply chain is challenging due to the physical characteristics of biomass (e.g., seasonality, uncertainty, and widely dispersed supply) [5]. For instance, corn stover is only available from early September to November, while woody biomass is available all year round with the exception of three months in the winter.…”

Section: Introductionmentioning

confidence: 99%

Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network

et al. 2018

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This study presents a mathematical model that designs a reliable multi-modal transportation network for a biofuel supply chain system while site-dependent facility failure and congestion are taken into consideration. The proposed model locates the multi-modal facilities and biorefineries and determines the optimal production, storage, and routing plans in such a way that the overall system cost is minimized. We propose a hybrid Constraint generation-based Rolling horizon algorithm to solve this challenging N P-hard problem. The performance of this algorithm is tested in a example case study with numerical analysis showing that the hybrid algorithm can find near-optimal solutions to large-scale problem instances in a reasonable amount of time. Results indicate that the effect of congestion reduces the usage of multi-modal facilities in the biofuel supply chain network while bio-refineries and multi-modal facilities tend to move away from coastal areas when disruption probabilities are taken into consideration.

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Sustainable network design for multi-purpose pellet processing depots under biomass supply uncertainty

Cited by 57 publications

References 53 publications

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends

Analyzing the Trade-Offs between Meeting Biorefinery Production Capacity and Feedstock Supply Cost: A Chance Constrained Approach

Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network

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