A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)

High logistics and handling costs prevent the bioenergy industry from making a greater contribution to the present energy market. Therefore, a mathematical model, OPTIMASS, is presented to optimise strategic (e.g. facility location and type) and tactical (e.g. allocation) decisions in all kinds of biomass-based supply chains. In addition to existing models, OPTIMASS evaluates changes in biomass characteristics due to handling operations which is needed to meet the requirements set to biomass products delivered at a conversion facility. Also, OPTIMASS considers the re-injection of by-products from conversion facilities which can play a decisive role in the determination of a sustainable supply chain.

[1]  Otto Rentz,et al.  Integrated planning of transportation and recycling for multiple plants based on process simulation , 2010, Eur. J. Oper. Res..

[2]  Mikael Rönnqvist,et al.  Using Operational Research for Supply Chain Planning in the Forest Products Industry , 2008, INFOR Inf. Syst. Oper. Res..

[3]  Jutta Geldermann,et al.  Optimizing the production and distribution system of bioenergy villages , 2014 .

[4]  Lawrence V. Snyder,et al.  Facility location under uncertainty: a review , 2006 .

[5]  Sarat Kumar Sahoo,et al.  Renewable and sustainable energy reviews solar photovoltaic energy progress in India: A review , 2016 .

[6]  T. Sowlati,et al.  Value chain optimization of forest biomass for bioenergy production: A review , 2013 .

[7]  Dirk Cattrysse,et al.  Generic data model to represent the biomass-to-bioenergy supply chain logistics. , 2012 .

[8]  Francisco Saldanha-da-Gama,et al.  Dynamic multi-commodity capacitated facility location: a mathematical modeling framework for strategic supply chain planning , 2006, Comput. Oper. Res..

[9]  E. Kondili,et al.  Development and implementation of an optimisation model for biofuels supply chain , 2011 .

[10]  Roger Zetter,et al.  State of the art literature review , 2011 .

[11]  Thomas Spengler,et al.  Design of regional production networks for second generation synthetic bio-fuel - A case study in Northern Germany , 2012, Eur. J. Oper. Res..

[12]  A Karagiannidis,et al.  Waste biomass-to-energy supply chain management: a critical synthesis. , 2010, Waste management.

[13]  Dirk Cattrysse,et al.  Towards sustainable biomass-for-bioenergy supply chains by trading off between multiple objectives , 2015 .

[14]  End Use.  Annual energy outlook : with projections to ... , 1983 .

[15]  Jean-Pierre Maelfait,et al.  Instituut voor Natuurbehoud , 2000 .

[16]  Stefan Seuring,et al.  Supply chain and logistics issues of bio-energy production. , 2011 .

[17]  Francisco Saldanha-da-Gama,et al.  Facility location and supply chain management - A review , 2009, Eur. J. Oper. Res..

[18]  Jan Broeze,et al.  A techno-economic evaluation of a biomass energy conversion park , 2013 .

[19]  Fereshteh Mafakheri,et al.  Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions , 2014 .

[20]  Ville Uusitalo,et al.  Evaluation of methods for estimating energy performance of biogas production , 2014 .

[21]  Dirk Cattrysse,et al.  Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review , 2014 .

[22]  Xiangtong Qi,et al.  A logistics scheduling model: scheduling and transshipment for two processing centers , 2006 .

[23]  Ricki G. Ingalls,et al.  Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future , 2013 .

[24]  Samir K. Srivastava,et al.  Green Supply-Chain Management: A State-of-the-Art Literature Review , 2007 .

[25]  Lars-Peter Lauven,et al.  An optimization approach to biorefinery setup planning , 2014 .

[26]  Haldun Süral,et al.  A review of hierarchical facility location models , 2007, Comput. Oper. Res..

[27]  Jos Van Orshoven,et al.  Incorporating Life Cycle Impact Assessment in a Mathematical Model to Optimize Strategic Decisions in Biomass-for-Bioenergy Supply Chains , 2013 .

[28]  Hui-Ming Wee,et al.  Renewable energy supply chains, performance, application barriers, and strategies for further development , 2012 .

[29]  Borja Velázquez-Martí,et al.  Quantification of the residual biomass obtained from pruning of trees in Mediterranean almond groves , 2011 .

[30]  D. Tilman,et al.  Carbon-Negative Biofuels from Low-Input High-Diversity Grassland Biomass , 2006, Science.

[31]  Dirk Cattrysse,et al.  Conceptual decision support system to optimise strategic decisions in biomass-for-bioenergy supply chains , 2013 .

[32]  K. Hülsbergen,et al.  Energy balance of different organic biogas farming systems. , 2008 .

[33]  Andreas Drexl,et al.  Facility location models for distribution system design , 2005, Eur. J. Oper. Res..

[34]  Ragheb Rahmaniani,et al.  A combined facility location and network design problem with multi-type of capacitated links , 2013 .

[35]  Martin Hermy,et al.  Quantification and Prediction of Biomass Yield of Temperate Low-Input High-Diversity Ecosystems , 2014, BioEnergy Research.

[36]  Consolación Gil,et al.  Optimization methods applied to renewable and sustainable energy: A review , 2011 .

[37]  Mark S. Daskin,et al.  Capacitated facility location/network design problems , 2001, Eur. J. Oper. Res..

[38]  Ilias P. Tatsiopoulos,et al.  Logistics issues of biomass: The storage problem and the multi-biomass supply chain , 2009 .

[39]  Iddrisu Awudu,et al.  Uncertainties and sustainability concepts in biofuel supply chain management: A review , 2012 .

[40]  H. Uellendahl,et al.  Energy balance and cost-benefit analysis of biogas production from perennial energy crops pretreated by wet oxidation. , 2008, Water science and technology : a journal of the International Association on Water Pollution Research.

[41]  W. Wilhelm,et al.  Biofuel and petroleum-based fuel supply chain research: A literature review , 2011 .