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"Berdasarkan RUPTL 2017-2026, kebutuhan pasokan gas bumi untuk Pusat Pembangkit Listrik milik PLN semakin meningkat dari tahun ke tahun, termasuk untuk Pusat Pembangkit Listrik di Jawa Bagian Timur yang berlokasi di Gresik, Perak, Grati (Pasuruan) dan Madura (Sumenep). Sayangnya peningkatan kebutuhan pasokan gas bumi ini tidak diimbangi dengan ketersediaan pasokan gas pipa dari sumber-sumber gas bumi di sekitar Jawa Timur, sehingga diperlukan tambahan pasokan gas bumi dalam bentuk LNG dari luar area Jawa Timur dan sekitarnya. Pada penelitian ini dilakukan optimasi rantai pasokan gas bumi, dalam bentuk gas pipa dan LNG, sehingga didapatkan biaya penyediaan gas bumi terendah di plant gate Pusat Pembangkit Listrik Gresik, Perak, Grati dan Madura. Untuk pola logistik pasokan LNG disimulasikan menggunakan 2 (dua) skenario pasokan, yaitu tanpa Hub LNG dan dengan menggunakan Hub LNG di Gesik. Dari hasil optimasi yang dilakukan menggunakan aplikasi LINGO didapatkan model rantai pasokan gas yang paling optimal dengan skema distribusi LNG tanpa menggunakan Hub serta menggunakan kapal pengangkut LNG berukuran 35.000 m³, 55.000 m³ dan 65.000 m³. Biaya Penyediaan bahan bakar gas terendah untuk periode 2020-2027 adalah 8.022 Juta US$ dengan rata-rata harga gas di plant gate Pembangkit sebesar 8,50 ^US$/_MMBTU.

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Based on RUPTL 2017-2026, the need of natural gas supply for PLNs Power Station will increase from year to year, including for Power Station in Eastern Java located in Gresik, Perak, Grati (Pasuruan) and Madura (Sumenep). Unfortunately, the increasing demand is not followed by the availability of nearby pipeline gas supply sources, so that additional natural gas supply in the form of LNG from outside the area is needed. In this research, natural gas supply chain, both in the form of pipeline gas and LNG will be optimized, so as to obtain the lowest gas supply plant gate cost at Gresik, Perak, Grati and Madura Power Station. LNG supply logistics scheme it is simulated by using 2 (two) supply scenarios, without LNG Hub scenario and using LNG Hub scenario which located at Gresik.  Based on LINGOs optimization result, the most optimal supply chain model obtained by implementing the without LNG Hub scenario using 35.000 m3, 55.000 m3 dan 65.000 m3 LNG vessels. The lowest fuel gas supply cost during 2020-2027 is 8.022 million US$ with an average plantgate gas price at 8,50 US$/MMBTU."

"This book provides a complete and comprehensive reference/guide to Pyomo (Python Optimization Modeling Objects). The text illustrates the breadth of the modeling and analysis capabilities that are supported by the software and support of complex real-world applications. Pyomo is an open source software package for formulating and solving large-scale optimization and operations research problems. The text begins with a tutorial on simple linear and integer programming models. A detailed reference of Pyomo's modeling components is illustrated with extensive examples, including a discussion of how to load data from data sources like spreadsheets and databases. Chapters describing advanced modeling capabilities for nonlinear and stochastic optimization are also included. The Pyomo software provides familiar modeling features within Python, a powerful dynamic programming language that has a very clear, readable syntax and intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parameters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can be used from a command-line interface and within Python's interactive command environment, which makes it easy to create Pyomo models, apply a variety of optimizers, and examine solutions. The software supports a different modeling approach than commercial AML (Algebraic Modeling Languages) tools, and is designed for flexibility, extensibility, portability, and maintainability but also maintains the central ideas in modern AMLs."

"This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed."

"This book, deals with the aspects of modeling and solving real-world optimization problems in a unique combination. It treats systematically the major algebraic modeling languages (AMLs) and modeling systems (AMLs) used to solve mathematical optimization problems. AMLs helped significantly to increase the usage of mathematical optimization in industry."

"This book offers a state-of-the-art introduction to the mathematical theory of supply chain networks, focusing on those described by partial differential equations (PDEs)."

"Cargo plays a very important role in the aviation industry as a supporting revenue. In Airline X, cargo supports the revenue by 4% - 6% of the total revenue. There are opportunities to optimize the cargo compartment in Airline X by analyzing every agent involved in the purpose to know the optimum cargo loaded into the compartment using Agent-Based Modelling. The method used in this research is Rejection Sampling in Monte Carlo and Agent-Based Modelling. In addition, the theory used in this research is distribution function, to determine what type of distribution that represents the agent behavior. The final result shows that with the predetermined number of iterations, which is 300 iterations, the optimal value was obtained base on the convergent result. On the other hand, the distribution of passenger and baggage described as the Gaussian Distribution Function, while the distribution of EBT described as the Negative Exponential Distribution Function. These distributions represent agent behavior."