A corn-stover harvest scheduling problem arising in cellulosic ethanol production

Biomass and Bioenergy

Volumn 107, Issue , 2017, Pages 102-112

  Aguayo, Maichel M ^a   Sarin, Subhash C ^b   Cundiff, John S ^b   Comer, Kevin ^c   Clark, Tim ^c  

^a UNIVERSITY OF CONCEPCIÓN   (Chile)

^b State University   (United States)

^c Antares Group Inc   (United States)

Author keywords

Biomass logistics; Corn stover supply chain management; Harvest scheduling; Integer programming; Mathematical modeling

Indexed keywords

AGRICULTURE; CELLULOSIC ETHANOL; ETHANOL; HARVESTING; INTEGER PROGRAMMING; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; SUPPLY CHAIN MANAGEMENT;

AVERAGE OPTIMALITY; BIOMASS LOGISTICS; CORN STOVER; GRAIN HARVEST; HARVEST SCHEDULING; HARVEST SEASON;

SCHEDULING;

BIOMASS; CELLULOSE; ETHANOL; LOGISTICS; MAIZE; MODELING; OPTIMIZATION; PLANT PRODUCT; SUPPLY CHAIN MANAGEMENT; UNCERTAINTY ANALYSIS;

ZEA MAYS;

EID: 85030756553     PISSN: 09619534     EISSN: 18732909     Source Type: Journal    
DOI: 10.1016/j.biombioe.2017.09.013     Document Type: Article

References (32)

1. U.S. Department of Energy, U.S. Billion-ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry. R.D. Perlack and B.J. Stokes (Leads), ORNL/TM-2011/224, 2011, Oak Ridge National Laboratory, Oak Ridge, TN 227p.
2. POET-DSM, First Commercial-scale Cellulosic Ethanol Plant in the U.S. Opens for Business. 2014 http://www.poet-dsm.com/pr/first-commercial-scale-cellulosic-plant.
3. DuPont, The Dupont Cellulosic Ethanol Facility in Nevada, Iowa: Leading the Way for Commercialization. 2015 http://www.dupont.com/products-and-services/industrial-biotechnology/advanced-biofuels/cellulosic-ethanol/nevada-iowa-cellulosic-ethanol-plant.html.
4. An, H., Wilhelm, W.E., Searcy, S.W., Biofuel and petroleum-based fuel supply chain research: a literature review. Biomass Bioenergy 35 (2011), 3763–3774.
5. Sharma, B., Ingalls, R., Jones, C., Khanchi, A., Biomass supply chain design and analysis: basis, overview, modeling, challenges, and future. Renew. Sustain. Energy Rev. 24 (2013), 608–627.
6. Meyer, A.D., Cattrysse, D., Rasinmki, J., Orshoven, J.V., Methods to optimise the design and management of biomass-for-bioenergy supply chains: a review. Renew. Sustain. Energy Rev. 31 (2014), 657–670.
7. Atashbar, N.Z., Labadie, N., Prins, C., Modeling and optimization of biomass supply chains: a review and a critical look. IFAC-PapersOnLine 49 (2016), 604–615 8th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2016.
8. Ghaderi, H., Pishvaee, M.S., Moini, A., Biomass supply chain network design: an optimization-oriented review and analysis. Indus. Crops Prod. 94 (2016), 972–1000.
9. Pèrez, A.T.E., Camargo, M., Rinòn, P.C.N., Marchant, M.A., Key challenges and requirements for sustainable and industrialized biorefinery supply chain design and management: a bibliographic analysis. Renew. Sustain. Energy Rev. 69 (2017), 350–359.
10. Shabani, N., Akhtari, S., Sowlati, T., Value chain optimization of forest biomass for bioenergy production: a review. Renew. Sustain. Energy Rev. 23 (2013), 299–311.
11. Yue, D., You, F., Snyder, S.W., Biomass-to-bioenergy and biofuel supply chain optimization: overview, key issues and challenges. Comput. Chem. Eng. 66 (2014), 36–56 Selected papers from ESCAPE-23 (European Symposium on Computer Aided Process Engineering - 23), 9-12 June 2013, Lappeenranta, Finland.
12. Ba, B.H., Prins, C., Prodhon, C., Models for optimization and performance evaluation of biomass supply chains: an operations research perspective. Renew. Energy 87 (2016), 977–989 Optimization Methods in Renewable Energy Systems Design.
13. Mafakheri, F., Nasiri, F., Modeling of biomass-to-energy supply chain operations: applications, challenges and research directions. Energy Policy 67 (2014), 116–126.
14. Eksioglu, S.D., Acharya, A., Leightley, L.E., Arora, S., Analyzing the design and management of biomass-to-biorefinery supply chain. Comput. Indus. Eng. 57 (2009), 1342–1352.
15. Huang, Y., Chen, C.-W., Fan, Y., Multistage optimization of the supply chains of biofuels. Transp. Res. Part E Logist. Transp. Rev. 46 (2010), 820–830.
16. Zhang, J., Osmani, A., Awudu, I., Gonela, V., An integrated optimization model for switchgrass-based bioethanol supply chain. Appl. Energy 102 (2013), 1205–1217.
17. Lin, T., Rodriguez, L.F., Shastri, Y.N., Hansen, A.C., Ting, K., Integrated strategic and tactical biomassbiofuel supply chain optimization. Bioresour. Technol. 156 (2014), 256–266.
18. Xie, F., Huang, Y., Eksioglu, S., Integrating multimodal transport into cellulosic biofuel supply chain design under feedstock seasonality with a case study based on California. Bioresour. Technol. 152 (2014), 15–23.
19. Tembo, G., Epplin, F.M., Huhnke, R.L., Integrative investment appraisal of a lignocellulosic biomass-to-ethanol industry. J. Agric. Resour. Econ. 28 (2003), 611–633.
20. An, H., Wilhelm, W.E., Searcy, S.W., A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in central Texas. Bioresour. Technol. 102 (2011), 7860–7870.
21. Zhu, X., Yao, Q., Logistics system design for biomass-to-bioenergy industry with multiple types of feedstocks. Bioresour. Technol. 102 (2011), 10936–10945.
22. Zhu, X., Li, X., Yao, Q., Chen, Y., Challenges and models in supporting logistics system design for dedicated-biomass-based bioenergy industry. Bioresour. Technol. 102 (2011), 1344–1351.
23. Basnet, C.B., Foulds, L.R., Wilson, J.M., Scheduling contractors' farm-to-farm crop harvesting operations. Int. Trans. Oper. Res. 13 (2006), 1–15.
24. Bochtis, D., Dogoulis, P., Busato, P., Sørensen, C., Berruto, R., Gemtos, T., A flow-shop problem formulation of biomass handling operations scheduling. Comput. Electron. Agric. 91 (2013), 49–56.
25. Orfanou, A., Busato, P., Bochtis, D., Edwards, G., Pavlou, D., Sørensen, C., Berruto, R., Scheduling for machinery fleets in biomass multiple-field operations. Comput. Electron. Agric. 94 (2013), 12–19.
26. Edwards, G., Sørensen, C.G., Bochtis, D.D., Munkholm, L.J., Optimised schedules for sequential agricultural operations using a tabu search method. Comput. Electron. Agric. 117 (2015), 102–113.
27. Grisso, R.D., McCullough, D., Cundiff, J.S., Judd, J.D., Harvest schedule to fill storage for year-round delivery of grasses to biorefinery. Biomass Bioenergy 55 (2013), 331–338.
28. Blanco, V., Carpente, L., Hinojosa, Y., Puerto, J., Planning for agricultural forage harvesters and trucks: model, heuristics, and case study. Netw. Spatial Econ. 10 (2010), 321–343.
29. Carpente, L., Casas-Méndez, B., Jácome, C., Puerto, J., A model and two heuristic approaches for a forage harvester planning problem: a case study. TOP 18 (2010), 122–139.
30. Antares Group Inc., Harrisonburg, VA, USA, 2016, http://www.antaresgroupinc.com.
31. Pinedo, M.L., Scheduling: Theory, Algorithms, and Systems. 2012, Springer Science & Business Media.
32. Mitrović-Minić, S., Krishnamurti, R., Laporte, G., Double-horizon based heuristics for the dynamic pickup and delivery problem with time windows. Transp. Res. Part B Methodol. 38 (2004), 669–685.