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"Letak geografis Indonesia yang merupakan negara kepulauan memiliki hambatan dalam pemerataan pembangunan salah satunya karena jarak antar pulau yang sulit dijangkau. Alternatif solusi dalam mengatasi salah satunya yaitu teknologi keantariksaan seperti adanya teknologi pesawat kecil yang dapat menjangkau pulau-pulau terluar dan teknologi satelit yang dapat mempermudah penyampaian informasi dan komunikasi. Tujuan dari penelitian ini adalah mengidentifikasi faktor sukses MP keantariksaan, mengembangkan model manajemen pengetahuan yang sesuai untuk karakterikstik penyelenggara keantariksaan di Indonesia serta menyusun perencansan strategis MP Keantariksaan yang diharapkan dapat menjadi panduan dalam implementasi MP yang efektif untuk organisasi keantariksaan. Penyusunan model menggunakan pendekatan Grounded Theory dan studi kasus..Hasil dari penelitian mendapatkan faktor kesuksesan dalam implementasi MP ada 18 faktor, meliputi : KM Vision and Mission, KM Stratregy, KM Capturing, KM Sharing, KM Discovering, KM Application, Human Resources, Management Support, Expert network, Process Business, Learning, Collaboration and Teamwork, Culture, Strategy Organizatio, Leadership, Information Technology, Policy, Structure organization. Model yang terbentuk terdiri dari 6 layer, meliputi : (1)KM goals; (2)KM strategy; (3) KM system; (4) KM process; (5)KM Resources ; (6)KM enabler.

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The geographical location of Indonesia, which is an archipelagic country, has obstacles in equitable development, one of which is because the distance between islands is difficult to reach. Alternative solutions to overcome one of them are space technology such as small aircraft technology that can reach the outer islands and satellite technology that can facilitate the delivery of information and communication.The purpose of this study is to identify the success factors of space management, develop a knowledge management model that is suitable for the characteristics of space operators in Indonesia and develop strategic planning for space management which is expected to be a guide in implementing an effective KM for space organizations. The modeling uses the Grounded Theory approach and case studies. The results of the study found that there were 18 success factors in MP implementation, including: KM Vision and Mission, KM Strategy, KM Capturing, KM Sharing, KM Discovering, KM Application, Human Resources, Management Support, Expert network, Business Process, Learning, Collaboration and Teamwork, Culture, Strategy Organization, Leadership, Information Technology, Policy, Structure organization. The formed model consists of 6 layers, including: (1) KM goals; (2) KM strategy; (3) KM system; (4) KM process; (5) KM Resources ; (6)KM enablers."

"Kapal tanker kimia adalah salah satu jenis alat transportasi laut yang memiliki multikompartemen untuk membawa berbagai bahan kimia cair dalam jumlah besar secara bersamaan dan mencegahnya bercampur. Studi ini membahas tentang kesulitan yang dialami oleh manajemen kapal tanker kimia dalam merencanakan rute kapal dan jadwal untuk memelihara persediaan karena karakteristik yang unik dan kendala operasional kapal tanker kimia. Sampai saat ini, belum ada model yang membahas perutean dan penjadwalan kapal tanker kimia untuk menjaga tingkat persediaan yang mempertimbangkan keunikan tersebut secara simultan. Menjembatani kesenjangan penelitian yang terjadi, model matematika baru inventory ship routing and stowage planning problem (ISRSPP) untuk kapal tanker kimia diusulkan. Idenya adalah untuk menggabungkan stowage planning, yang merupakan masalah operasional, ke dalam inventory ship routing, yang merupakan masalah taktis, sebagai problem perencanaan yang terintegrasi. Tujuannya adalah untuk menemukan solusi dengan total biaya perjalanan minimum. Untuk tujuan ini, problem tersebut diformulasikan sebagai mixed integer linear programming (MILP) dengan model waktu diskrit. Untuk menganalisis penerapan model dan kinerjanya, dikembangkan dua skenario, di mana pada skenario pertama, model ISRSPP diselesaikan secara utuh, sementara pada skenario kedua, hanya bagian model inventory ship routing yang diselesaikan. Kedua skenario tersebut diselesaikan dengan menggunakan solver komersial. Hasilnya mengkonfirmasi bahwa kedua problem perencanaan tersebut tidak dapat dipisahkan karena pemisahan akan berpotensi membuat rute dan jadwal armada kapal yang tidak fisibel untuk membuat rencana penyimpanan kargo.

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A chemical tanker is one type of ocean carriers which has multi-compartments to carry various liquid chemicals in bulk simultaneously and keep them from mixing. This study discusses the difficulties experienced by management of chemical tankers in planning vessels route and schedule to maintain inventory because of the unique characteristics and operational constraints of chemical tankers. To date, there is no existing models that address inventory routing and scheduling of chemical tankers accounts for the aforementioned uniqueness simultaneously. Bridging the research gap, a novel integrated mathematical model of inventory ship routing and stowage planning problem (ISRSPP) for chemical tankers is proposed. The idea is to combine stowage planning, which is an operational problem, into inventory ship routing, which is a tactical problem, as an integrated tactical planning. The objective is to find a solution with minimum total voyage costs. For this purpose, the problem is formulated as a mixed integer linear program with a discrete time model. To analyse the model applicability and performance, two scenarios is built. In the first scenario, the ISRSPP model was solved completely, while in the second one, only the inventory ship routing part of the ISRSPP model was solved. Both scenarios were solved using a commercial solver. The results confirm that stowage planning problem cannot be treated separately from inventory ship routing problem of chemical tankers because the separation will potentially lead us to create the fleet routes for which no feasible stowage plan can be made."

"The book focuses on the next fields of computer science: combinatorial optimization, scheduling theory, decision theory, and computer-aided production management systems. It also offers a quick introduction into the theory of PSC-algorithms, which are a new class of efficient methods for intractable problems of combinatorial optimization. A PSC-algorithm is an algorithm which includes: sufficient conditions of a feasible solution optimality for which their checking can be implemented only at the stage of a feasible solution construction, and this construction is carried out by a polynomial algorithm (the first polynomial component of the PSC-algorithm); an approximation algorithm with polynomial complexity (the second polynomial component of the PSC-algorithm); also, for NP-hard combinatorial optimization problems, an exact subalgorithm if sufficient conditions were found, fulfilment of which during the algorithm execution turns it into a polynomial complexity algorithm. Practitioners and software developers will find the book useful for implementing advanced methods of production organization in the fields of planning (including operative planning) and decision making. Scientists, graduate and master students, or system engineers who are interested in problems of combinatorial optimization, decision making with poorly formalized overall goals, or a multiple regression construction will benefit from this book."