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Abstrak :
Bioethanol merupakan sumber energi alternatif bagi kehidupan manusia. Sumber energi baru sangat diperlukan mengingat ketersediaan bahan bakar fosil telah menipis keberadaannya dan banyak pengembangan dilakukan untuk menciptakan sumber energi baru. Indonesia adalah negara yang dikenal dengan kekayaan alam dan kesuburan tanahnya. Sangat besar peluang bioethanol yang bersumber dari nabati dikembangkan di Indonesia. Tanaman tebu merupakan salah satu tanaman yang berpotensial menghasilkan bioethanol. Tebu bisa tumbuh di berbagai daerah di Indonesia. Pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM) perlu dilakukan secara optimal, dan berkesinambungan, sehingga mampu meningkatkan peran, dan potensi Usaha Mikro, Kecil, dan Menengah dalam mewujudkan pertumbuhan ekonomi, pemerataan dan peningkatan pendapatan rakyat, penciptaan lapangan kerja, dan pengentasan kemiskinan. Melalui pengembangan Usaha Kecil Bioethanol, maka usaha kecil diharapkan mampu meningkatkan taraf hidup petani dan mengembalikan minat investasi di Indonesia, dan memberikan kontribusi nyata terhadap pemenuhan kebutuhan bahan bakar dunia pada umumnya dan Indonesia pada khususnya. Faktor resiko menjadi faktor yang sangat berpengaruh saat terjadi dan berlangsungnya sebuah investasi. Optimalisasi biaya pengolahan molases dan bagas untuk menghasilkan fuel grade ethanol diperlukan oleh usaha kecil untuk meminimalkan resiko investasi yang akan dijalankan. Engineering Economics, Risk Analysis, Integer Linear Programming, dan Simulasi Monte Carlo adalah metode-metode yang digunakan dalam menganalisa dan mencegah terjadinya kerugian pada sebuah investasi.

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Bioethanol is an alternative energy source for human life. New energy sources are needed considering the availability of fossil fuels has depleted of its existence and many development undertaken to create new sources of energy. Indonesia is a country known for its natural richness and fertility of the soil. Enormous opportunities bioethanol sourced from vegetable oils was developed in Indonesia. Sugar cane crop is one plant that can potentially produce bioethanol. Sugarcane can be grown in various regions in Indonesia. Empowerment of Micro, Small and Medium Enterprises (SMEs) need to be optimal, and continuous, so as to enhance the role and potential of Micro, Small and Medium Enterprises in achieving economic growth, equity and increase people's income, job creation, and poverty. Through the development of Small Scale Bioethanol, then small business is expected to improve farmers' living standards and restore the interest in investing in Indonesia, and contributing significantly to the fuel needs of the world in general and Indonesia in particular. Risk factor becomes a very influential factor when going on and continuing an investment. Cost optimization of processing molasses and bagasse to produce fuel grade ethanol required by the small business to minimize investment risk to be run. Engineering Economics, Risk Analysis, Integer Linear Programming, and Monte Carlo Simulation are methods used in analyzing and preventing the loss on an investment.

Abstrak :
Goal Structuring Notation (GSN) is becoming increasing popular, practitioners use it in the railway, air traffic management and nuclear industries, amongst others. Originally developed to present safety assurance arguments, GSN need not be restricted to safety assurances only, in principle, you can use it to present (and test) any argument. Anyone wishing to support, or refute, a claim can use GSN. Written by an experienced practitioner, The Goal Structuring Notation is both for those who wish to prepare and present compelling arguments using the notation, and for those who wish to review such arguments critically and effectively. To emphasise the versatility of this approach The Goal Structuring Notation presents examples and questions based on diverse subject areas including Business Management, Drama, Engineering, Politics and Astrobiology. Simple examples introduce each symbol of the notation before introducing more complex structures which illustrate how the symbols work together in practical scenarios. To aid learning, questions and problems augment the text, so that the reader may reflect upon and try out the new concepts and principles presented.

Abstrak :
Supplier selection, pricing strategy and inventory decisions in multi-level supply chains, RFID-enabled distributed decision-making, operational risk issues and time-critical decision-making for sensitive logistics nodes, modelling end to end processes to improve supply chain integration, and Integrated systems to improve service delivery and optimize resource use. Decision-making for supply chain Integration provides an insight into the tools and methodologies of this field with support from real-life case studies demonstrating successful application of various decision-making techniques.