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

Quddus, Md Abdul; Ibne Hossain, Niamat Ullah; Mohammad, Marufuzzaman; Jaradat, Raed M.; Roni, Mohammad S.

doi:10.1016/j.cie.2017.06.001

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

Journal Article · Sat Jun 10 00:00:00 EDT 2017 · Computers and Industrial Engineering

DOI:https://doi.org/10.1016/j.cie.2017.06.001· OSTI ID:1407417

Quddus, Md Abdul ^[1]; Ibne Hossain, Niamat Ullah ^[1]; Mohammad, Marufuzzaman ^[1]; Jaradat, Raed M. ^[1]; Roni, Mohammad S. ^[2]

Mississippi State Univ., Mississippi State, MS (United States). Dept. of Industrial and Systems Engineering
Idaho National Lab. (INL), Idaho Falls, ID (United States). Biofuels and Renewable Energy Technologies

This work develops a two-stage stochastic mixed-integer programming model to manage multi- purpose pellet processing depots under feedstock supply uncertainty. The proposed optimization model would help to minimize cost and to mitigate emissions from the supply chain network. We consider three alternative Biomass Processing and Densi cation Depot (BPDD) technologies; namely, conventional pellet processing, high moisture pellet processing, and ammonia ber expansion. These three technologies pre-process/pre-treat and densify different types of biomass into more highly densi ed intermediate products for different markets in order to improve movability and overall supply network performance in terms of costs and emissions. A hybrid decomposition algorithm was developed that combines sample average approximation with an enhanced Progressive Hedging (PH) algorithm to solve this challenging NP-hard problem. Some heuristics such as Rolling Horizon (RH) heuristic, variable xing technique were later applied to further enhance the PH algorithm. Mississippi and Alabama were selected as a testing ground and ArcGIS was employed to visualize and validate the modeling results. The results of the analysis reveal promising insights that could lead to recommendations to help decision makers achieve a more cost-effective environmentally-friendly supply chain network.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 1407417

Report Number(s):: INL/JOU-16-39778; PII: S036083521730253X

Journal Information:: Computers and Industrial Engineering, Vol. 110, Issue C; ISSN 0360-8352

Country of Publication:: United States

Language:: English

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Cited by: 39 works

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References (52)

A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in Central Texas An, Heungjo; Wilhelm, Wilbert E.; Searcy, Stephen W. Bioresource Technology, Vol. 102, Issue 17 https://doi.org/10.1016/j.biortech.2011.05.060	journal	September 2011
Investigation of biochemical biorefinery sizing and environmental sustainability impacts for conventional bale system and advanced uniform biomass logistics designs Argo, Andrew M.; Tan, Eric CD; Inman, Daniel Biofuels, Bioproducts and Biorefining, Vol. 7, Issue 3 https://doi.org/10.1002/bbb.1391	journal	April 2013
Two-Stage Robust Network Flow and Design Under Demand Uncertainty Atamtürk, Alper; Zhang, Muhong Operations Research, Vol. 55, Issue 4 https://doi.org/10.1287/opre.1070.0428	journal	August 2007
Uncertainties and sustainability concepts in biofuel supply chain management: A review Awudu, Iddrisu; Zhang, Jun Renewable and Sustainable Energy Reviews, Vol. 16, Issue 2 https://doi.org/10.1016/j.rser.2011.10.016	journal	February 2012
Stochastic production planning for a biofuel supply chain under demand and price uncertainties Awudu, Iddrisu; Zhang, Jun Applied Energy, Vol. 103 https://doi.org/10.1016/j.apenergy.2012.09.025	journal	March 2013
Approximation to Multistage Stochastic Optimization in Multiperiod Batch Plant Scheduling under Demand Uncertainty Balasubramanian, J.; Grossmann, I. E. Industrial & Engineering Chemistry Research, Vol. 43, Issue 14 https://doi.org/10.1021/ie030308+	journal	February 2004
Developing a model for assessing biomass processing technologies within a local biomass processing depot Bals, Bryan D.; Dale, Bruce E. Bioresource Technology, Vol. 106 https://doi.org/10.1016/j.biortech.2011.12.024	journal	February 2012
A two-stage stochastic programming framework for transportation planning in disaster response Barbarosoǧlu, G.; Arda, Y. Journal of the Operational Research Society, Vol. 55, Issue 1 https://doi.org/10.1057/palgrave.jors.2601652	journal	January 2004
Optimal running and planning of a biomass-based energy production process Bruglieri, Maurizio; Liberti, Leo Energy Policy, Vol. 36, Issue 7 https://doi.org/10.1016/j.enpol.2008.01.009	journal	July 2008
Technical and Financial Feasibility Analysis of Distributed Bioprocessing Using Regional Biomass Pre-Processing Centers Carolan, Joseph E.; Joshi, Satish V.; Dale, Bruce E. Journal of Agricultural & Food Industrial Organization, Vol. 5, Issue 2 https://doi.org/10.2202/1542-0485.1203	journal	January 2007
Comparing pelletization and torrefaction depots: Optimization of depot capacity and biomass moisture to determine the minimum production cost Chai, Li; Saffron, Christopher M. Applied Energy, Vol. 163 https://doi.org/10.1016/j.apenergy.2015.11.018	journal	February 2016
Bioethanol supply chain system planning under supply and demand uncertainties Chen, Chien-Wei; Fan, Yueyue Transportation Research Part E: Logistics and Transportation Review, Vol. 48, Issue 1 https://doi.org/10.1016/j.tre.2011.08.004	journal	January 2012
Progressive hedging-based metaheuristics for stochastic network design Crainic, Teodor Gabriel; Fu, Xiaorui; Gendreau, Michel Networks, Vol. 58, Issue 2 https://doi.org/10.1002/net.20456	journal	August 2011
Analyzing the design and management of biomass-to-biorefinery supply chain Ekşioğlu, Sandra D.; Acharya, Ambarish; Leightley, Liam E. Computers & Industrial Engineering, Vol. 57, Issue 4 https://doi.org/10.1016/j.cie.2009.07.003	journal	November 2009
Comparative life cycle assessment of centralized and distributed biomass processing systems combined with mixed feedstock landscapes: LCA-PROCESSING SYSTEMS AND MIXED BIOMASS LANDSCAPES Eranki, Pragnya L.; Dale, Bruce E. GCB Bioenergy, Vol. 3, Issue 6 https://doi.org/10.1111/j.1757-1707.2011.01096.x	journal	February 2011
Advanced Regional Biomass Processing Depots: a key to the logistical challenges of the cellulosic biofuel industry Eranki, Pragnya L.; Bals, Bryan D.; Dale, Bruce E. Biofuels, Bioproducts and Biorefining, Vol. 5, Issue 6 https://doi.org/10.1002/bbb.318	journal	July 2011
Design under uncertainty of hydrocarbon biorefinery supply chains: Multiobjective stochastic programming models, decomposition algorithm, and a Comparison between CVaR and downside risk Gebreslassie, Berhane H.; Yao, Yuan; You, Fengqi AIChE Journal, Vol. 58, Issue 7 https://doi.org/10.1002/aic.13844	journal	May 2012
A Progressive Hedging Approach for Surgery Planning Under Uncertainty Gul, Serhat; Denton, Brian T.; Fowler, John W. INFORMS Journal on Computing, Vol. 27, Issue 4 https://doi.org/10.1287/ijoc.2015.0658	journal	November 2015
Multistage optimization of the supply chains of biofuels Huang, Yongxi; Chen, Chien-Wei; Fan, Yueyue Transportation Research Part E: Logistics and Transportation Review, Vol. 46, Issue 6 https://doi.org/10.1016/j.tre.2010.03.002	journal	November 2010
An Integrated Biofuel Supply Chain to Cope with Feedstock Seasonality and Uncertainty Huang, Yongxi (Eric); Fan, Yueyue; Chen, Chien-Wei Transportation Science, Vol. 48, Issue 4 https://doi.org/10.1287/trsc.2013.0498	journal	November 2014
Using scenario trees and progressive hedging for stochastic inventory routing problems Hvattum, Lars Magnus; Løkketangen, Arne Journal of Heuristics, Vol. 15, Issue 6 https://doi.org/10.1007/s10732-008-9076-0	journal	March 2008
A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling Kara, Selin Soner; Onut, Semih Expert Systems with Applications, Vol. 37, Issue 9 https://doi.org/10.1016/j.eswa.2010.02.116	journal	September 2010
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty Kim, Jinkyung; Realff, Matthew J.; Lee, Jay H. Computers & Chemical Engineering, Vol. 35, Issue 9 https://doi.org/10.1016/j.compchemeng.2011.02.008	journal	September 2011
Design of biomass processing network for biofuel production using an MILP model Kim, Jinkyung; Realff, Matthew J.; Lee, Jay H. Biomass and Bioenergy, Vol. 35, Issue 2 https://doi.org/10.1016/j.biombioe.2010.11.008	journal	February 2011
The Sample Average Approximation Method for Stochastic Discrete Optimization Kleywegt, Anton J.; Shapiro, Alexander; Homem-de-Mello, Tito SIAM Journal on Optimization, Vol. 12, Issue 2 https://doi.org/10.1137/S1052623499363220	journal	January 2002
A novel rolling horizon strategy for the strategic planning of supply chains. Application to the sugar cane industry of Argentina Kostin, A. M.; Guillén-Gosálbez, G.; Mele, F. D. Computers & Chemical Engineering, Vol. 35, Issue 11 https://doi.org/10.1016/j.compchemeng.2011.04.006	journal	November 2011
Techno-economic analysis of decentralized biomass processing depots Lamers, Patrick; Roni, Mohammad S.; Tumuluru, Jaya S. Bioresource Technology, Vol. 194 https://doi.org/10.1016/j.biortech.2015.07.009	journal	October 2015
Accelerating Benders Decomposition: Algorithmic Enhancement and Model Selection Criteria Magnanti, T. L.; Wong, R. T. Operations Research, Vol. 29, Issue 3 https://doi.org/10.1287/opre.29.3.464	journal	June 1981
Resiliency optimization of biomass to biofuel supply chain incorporating regional biomass pre-processing depots Maheshwari, Prateek; Singla, Sugandha; Shastri, Yogendra Biomass and Bioenergy, Vol. 97 https://doi.org/10.1016/j.biombioe.2016.12.015	journal	February 2017
Monte Carlo bounding techniques for determining solution quality in stochastic programs Mak, Wai-Kei; Morton, David P.; Wood, R. Kevin Operations Research Letters, Vol. 24, Issue 1-2 https://doi.org/10.1016/S0167-6377(98)00054-6	journal	February 1999
Two-stage stochastic programming supply chain model for biodiesel production via wastewater treatment Marufuzzaman, Mohammad; Eksioglu, Sandra D.; (Eric) Huang, Yongxi Computers & Operations Research, Vol. 49 https://doi.org/10.1016/j.cor.2014.03.010	journal	September 2014
Supply Chain Design and Management for Syngas Production Marufuzzaman, Mohammad; Li, Xiaopeng; Yu, Fei ACS Sustainable Chemistry & Engineering, Vol. 4, Issue 3 https://doi.org/10.1021/acssuschemeng.5b00944	journal	December 2015
Applying the progressive hedging algorithm to stochastic generalized networks Mulvey, John M.; Vladimirou, Hercules Annals of Operations Research, Vol. 31, Issue 1 https://doi.org/10.1007/BF02204860	journal	December 1991
Design of Cellulosic Ethanol Supply Chains with Regional Depots Ng, Rex T. L.; Maravelias, Christos T. Industrial & Engineering Chemistry Research, Vol. 55, Issue 12 https://doi.org/10.1021/acs.iecr.5b03677	journal	December 2015
Design of biofuel supply chains with variable regional depot and biorefinery locations Ng, Rex T. L.; Maravelias, Christos T. Renewable Energy, Vol. 100 https://doi.org/10.1016/j.renene.2016.05.009	journal	January 2017
On Optimal Allocation of Indivisibles Under Uncertainty Norkin, Vladimir I.; Ermoliev, Yuri M.; Ruszczyński, Andrzej Operations Research, Vol. 46, Issue 3 https://doi.org/10.1287/opre.46.3.381	journal	June 1998
A branch and bound method for stochastic global optimization Norkin, Vladimir I.; Pflug, Georg Ch.; Ruszczyński, Andrzej Mathematical Programming, Vol. 83, Issue 1-3 https://doi.org/10.1007/BF02680569	journal	January 1998
An energy analysis comparing biomass torrefaction in depots to wind with natural gas combustion for electricity generation Parkhurst, Kristen M.; Saffron, Christopher M.; Miller, Raymond O. Applied Energy, Vol. 179 https://doi.org/10.1016/j.apenergy.2016.05.121	journal	October 2016
A hybrid decomposition algorithm for designing a multi-modal transportation network under biomass supply uncertainty Poudel, Sushil Raj; Marufuzzaman, Mohammad; Bian, Linkan Transportation Research Part E: Logistics and Transportation Review, Vol. 94 https://doi.org/10.1016/j.tre.2016.07.004	journal	October 2016
Designing a reliable bio-fuel supply chain network considering link failure probabilities Poudel, Sushil R.; Marufuzzaman, Mohammad; Bian, Linkan Computers & Industrial Engineering, Vol. 91 https://doi.org/10.1016/j.cie.2015.11.002	journal	January 2016
The Ancestral Benders’ cutting plane algorithm with multi-term disjunctions for mixed-integer recourse decisions in stochastic programming Qi, Yunwei; Sen, Suvrajeet Mathematical Programming, Vol. 161, Issue 1-2 https://doi.org/10.1007/s10107-016-1006-6	journal	April 2016
Integrated design and operation of remnant inventory supply chains under uncertainty Rajgopal, Jayant; Wang, Zhouyan; Schaefer, Andrew J. European Journal of Operational Research, Vol. 214, Issue 2 https://doi.org/10.1016/j.ejor.2011.04.039	journal	October 2011
Scenarios and Policy Aggregation in Optimization Under Uncertainty Rockafellar, R. T.; Wets, Roger J. -B. Mathematics of Operations Research, Vol. 16, Issue 1 https://doi.org/10.1287/moor.16.1.119	journal	February 1991
A supply chain network design model for biomass co-firing in coal-fired power plants Roni, Md. S.; Eksioglu, Sandra D.; Searcy, Erin Transportation Research Part E: Logistics and Transportation Review, Vol. 61 https://doi.org/10.1016/j.tre.2013.10.007	journal	January 2014
Process optimization of combined biomass torrefaction and pelletization for fuel pellet production – A parametric study Rudolfsson, Magnus; Stelte, Wolfgang; Lestander, Torbjörn A. Applied Energy, Vol. 140 https://doi.org/10.1016/j.apenergy.2014.11.041	journal	February 2015
A stochastic programming approach for supply chain network design under uncertainty Santoso, Tjendera; Ahmed, Shabbir; Goetschalckx, Marc European Journal of Operational Research, Vol. 167, Issue 1 https://doi.org/10.1016/j.ejor.2004.01.046	journal	November 2005
Supply chain design under uncertainty using sample average approximation and dual decomposition Schütz, Peter; Tomasgard, Asgeir; Ahmed, Shabbir European Journal of Operational Research, Vol. 199, Issue 2 https://doi.org/10.1016/j.ejor.2008.11.040	journal	December 2009
End-of-life vehicles allocation management under multiple uncertainties: An interval-parameter two-stage stochastic full-infinite programming approach Simic, Vladimir Resources, Conservation and Recycling, Vol. 114 https://doi.org/10.1016/j.resconrec.2016.06.019	journal	November 2016
Optimization of the ammonia fiber explosion (AFEX) treatment parameters for enzymatic hydrolysis of corn stover Teymouri, Farzaneh; Laureano-Perez, Lizbeth; Alizadeh, Hasan Bioresource Technology, Vol. 96, Issue 18, p. 2014-2018 https://doi.org/10.1016/j.biortech.2005.01.016	journal	December 2005
Structural properties of the progressive hedging algorithm Wallace, Stein W.; Helgason, Thorkell Annals of Operations Research, Vol. 31, Issue 1 https://doi.org/10.1007/BF02204862	journal	December 1991
Dynamic Planning of Facility Locations with Benefits from Multitype Facility Colocation: Dynamic facility location with colocation benefits Xie, Weijun; Ouyang, Yanfeng Computer-Aided Civil and Infrastructure Engineering, Vol. 28, Issue 9 https://doi.org/10.1111/mice.12034	journal	August 2013
Integrating multimodal transport into forest-delivered biofuel supply chain design Zhang, Fengli; Johnson, Dana M.; Wang, Jinjiang Renewable Energy, Vol. 93 https://doi.org/10.1016/j.renene.2016.02.047	journal	August 2016

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

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