Supply Chain Management for Bioenergy and Bioresources

• Andere auteurs: Bochtis, Dionysis (Redacteur), Achillas, Charisios (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Onderwerpen: Research & information: general; Biology, life sciences; Technology, engineering, agriculture; supply-chain design; strategic planning; operational planning; energy crop production; crop residue; dry above ground biomass; soybean; empirical models; bilinear regression analysis; agricultural operations; energy use; assessment tool; workability; machinery; agricultural machinery; fleet management; auto-steering system; collaborative operating system; flow-shop; simulation; field experiment; Fuzzy Cognitive Maps; photovoltaic solar energy; scenario analysis; decision-support; energy management; bioenergy; efficiency of bio-resources; decision support system; multi-criteria analysis; sustainability; neuro-fuzzy; ANFIS; neural networks; soft computing; fuzzy cognitive maps; energy forecasting; natural gas; prediction
• Online toegang: DOAB: download the publication; DOAB: description of the publication

In the modern world, the competitiveness of bioenergy- and/or bioresources-related activities heavily depends on the effectiveness of supply chain management. A large number of multidisciplinary topics are involved in the bioresources and bioenergy production fields. Although the technical issues th...