Biomass supply chain management in North Carolina (part 2): biomass feedstock logistical optimization

Caffrey, Kevin R; Chinn, Mari S.; Veal, Matthew W.; Kay, Michael G.

doi:10.3934/energy.2016.2.280

Cited by 9 publications

(3 citation statements)

References 7 publications

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“…For a comparison, and to illustrate the impact of a reverse economy of scale of the feedstock supply system, this study further evaluated the optimal size of the biorefinery by varying the biorefinery scale and considering a constant feedstock supply cost determined for the basis biorefinery size of 2600 t day −1 . The safety stock of feedstock is considered as a ‘best practice’ to mitigate the risk of stockouts due to uncertainty in biomass feedstock supply during inclement weather, uncertainty in the quality of biomass supplied (namely carbohydrate content), uncertainty in biomass availability, and handling and storage losses …”

Section: Methodsmentioning

confidence: 99%

Supply and value chain analysis of mixed biomass feedstock supply system for lignocellulosic sugar production

Baral

Davis

Bradley

2019

Biofuels Bioprod Bioref

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The sustainable supply of high‐quality, low‐cost biomass feedstock to cellulosic biorefineries is still a challenge. Utilizing corn stover as the single feedstock to a biorefinery also poses a source of risk to seasonal feedstock availability, affordability, and sustainability. Implementing a year‐round feedstock switching strategy or utilizing an optimal mixture of corn stover, miscanthus, and switchgrass is demonstrated to diminish these concerns while reducing the cost of sugar production by as much as 3.8% and 13.6%, respectively, when compared to a baseline sugar price of 441.9 $ metric ton−1 (t) attributed to a fixed corn stover feedstock basis. This study determines that a mixing ratio of corn stover, miscanthus, and switchgrass of 36%, 50%, and 14%, respectively, minimizes the selling price of sugar. If miscanthus is sufficiently available in the future, its fraction could be further increased to 70% by reducing the fraction of corn stover. We find that the mixed feedstock considered in this study reduces the nutrient replacement and feedstock transportation costs and improves the quality of feedstock (determined by total carbohydrates and ash) relative to corn stover alone. Results suggest that a high‐quality feedstock with a high carbohydrate content is an important metric for consideration, beyond strictly the feedstock cost, to reduce the selling price of sugar and its uncertainties. In the future this may be supported by the increased availability of higher carbohydrate feedstocks such as miscanthus. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Section: Methodsmentioning

confidence: 99%

Supply and value chain analysis of mixed biomass feedstock supply system for lignocellulosic sugar production

Baral

Davis

Bradley

2019

Biofuels Bioprod Bioref

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“…Zaimes [14], V. Kravtsiv [7], M.Y. Postan [11], K. Caffrey [3], M. Chakkol [4] consider that the chain supply is first of all a set of certain organizations, business entities which are regulated by the flows and processes, underlining the space measurement of the supply chain. Moreover, S. Chopra and P. Meindl state that the supply chain consists of all involved parties, which directly or indirectly influence the processing of the customer's demand.…”

Section: Analysis Of the Latest Achievements And Publicationsmentioning

confidence: 99%

Management of Competitiveness of the Supply Chain in the Logistical Systems of a Small Agrarian Business

Velychko¹,

Velychko²,

Іvanchyk³

2019

Efektyvna Ekonomika

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доктор економічних наук, професор, завідувач кафедри менеджменту і права, Дніпровський державний аграрно-економічний університет, Україна Л.А. Величко, кандидат наук з державного управління, доцент кафедри економіки, підприємництва та управління підприємствами Дніпровський національний університет імені Олеся Гончара, Україна Р.О. Іванчик, магістр менеджменту, молодший науковий співробітник, Дніпровський державний аграрно-економічний університет, Україна УПРАВЛІННЯ КОНКУРЕНТОСПРОМОЖНІСТЮ ЛАНЦЮГА ПОСТАЧАННЯ В ЛОГІСТИЧНИХ СИСТЕМАХ МАЛОГО АГРАРНОГО БІЗНЕСУ

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“…The term "logistical modelling" in the system of management has been used in many contemporary scientific researches (Bonanno et al, 1998;Xin et al, 2007;Kalinina & Hardin, 2012;Caffrey et al, 2015;Velychko & Velychko, 2017). Moreover the category "model of logistics" has also been considered essential (Sarder et.…”

Section: Introductionmentioning

confidence: 99%

Logistical modelling of managerial decisions in social and marketing business systems

Velychko

2017

Journal of International Studies

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Abstract. Logistical modelling of business systems within the context of mathematical logistics, logistical management, operational research as well as rationalistic provision of logistics at an enterprise have been considered in the article. The research was carried out on the methodological basis which included the authors' developments and implied conveying familiar knowledge on new objects within the field of linear programming. Scientific novelty concerns the development of categorical toolkit as well as the existing methodical approaches of rationalistic logistics to managerial decisions. Rational areas of using terms "logistical model" and "model of logistics" in business environment have been determined. The authors' methodology of constructing logistical models in management of separate social and marketing systems of enterprises according to minimization and maximization criteria is presented. Ways of using modelling at not conventional objects of logistical support for managerial decisions have been suggested in the context of studying the moral psychological climate of staff and complex estimation of socioeconomic measures of staff management improvement. The procedure of logistical optimization in the system of distributing and advertising activity of the enterprise has been developed. Approbation of the developed models has been carried out and possibilities for further model's complication by output data, variables, and limitations under specific practical conditions have been grounded.

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Biomass supply chain management in North Carolina (part 2): biomass feedstock logistical optimization

Cited by 9 publications

References 7 publications

Supply and value chain analysis of mixed biomass feedstock supply system for lignocellulosic sugar production

Supply and value chain analysis of mixed biomass feedstock supply system for lignocellulosic sugar production

Management of Competitiveness of the Supply Chain in the Logistical Systems of a Small Agrarian Business

Logistical modelling of managerial decisions in social and marketing business systems

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