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Abstrak :
Lean manufacturing is an effective way to increase sales, cut costs, improve margins and secure the future of a business. The problem is that the principles and philosophies of lean manufacturing are geared towards mass production operations and can be ineffective for smaller job shops, and make-to-order businesses. This text delivers a proven approach for smaller suppliers who want to successfully cut their lead time and increase profitable growth. This book explains how to: apply the principles of pull, flow and the elimination of waste to every area of the company, at every stage, from "quotes to cash"; implement a continuous improvement process - while sidestepping the typical implementation pitfalls; ease scheduling problems; and improve performance and profitability by using practical concepts, process analysis tools and perspective-enhancing techniques.

Abstrak :
Written specifically for the oil and gas industry, Reliable maintenance planning, estimating, and scheduling provides maintenance managers and engineers with the tools and techniques to create a manageable maintenance program that will save money and prevent costly facility shutdowns. The ABCs of work identification, planning, prioritization, scheduling, and execution are explained. The objective is to provide the capacity to identify, select and apply maintenance interventions that assure an effective maintenance management, while maximizing equipment performance, value creation and opportune and effective decision making. The book provides a pre- and post- self-assessment that will allow for measure competency improvement. Maintenance managers and engineers receive an expert guide for developing detailed actions including repairs, alterations, and preventative maintenance.

Abstrak :
[This book presents models and algorithms for complex scheduling problems. Besides resource-constrained project scheduling problems with applications also job-shop problems with flexible machines, transportation or limited buffers are discussed. Discrete optimization methods like linear and integer programming, constraint propagation techniques, shortest path and network flow algorithms, branch-and-bound methods, local search and genetic algorithms, and dynamic programming are presented. They are used in exact or heuristic procedures to solve theintroduced complex scheduling problems. Furthermore, methods for calculating lower bounds are described. Most algorithms are formulated in detail and illustrated with examples., This book presents models and algorithms for complex scheduling problems. Besides resource-constrained project scheduling problems with applications also job-shop problems with flexible machines, transportation or limited buffers are discussed. Discrete optimization methods like linear and integer programming, constraint propagation techniques, shortest path and network flow algorithms, branch-and-bound methods, local search and genetic algorithms, and dynamic programming are presented. They are used in exact or heuristic procedures to solve theintroduced complex scheduling problems. Furthermore, methods for calculating lower bounds are described. Most algorithms are formulated in detail and illustrated with examples.]

Abstrak :
The financial results of any manufacturing company can be dramatically impacted by the repetitive decisions required to control a complex production network be it a network of machines in a factory; a network of factories in a company; or a network of companies in a supply chain. Decision policies for production networks presents recent convergent research on developing policies for operating production networks including details of practical control and decision techniques which can be applied to improve the effectiveness and economic efficiency of production networks worldwide. ;

Abstrak :
This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the real world. It again includes supplementary material in the form of slide-shows from industry and movies that show implementations of scheduling systems. The main structure of the book as per previous edition consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models, in this part it is assumed that processing times and other problem data are random and not known in advance. The third part deals with scheduling in practice, it covers heuristics that are popular with practitioners and discusses system design and implementation issues.

Abstrak :
Seiring produksi bahan bakar fosil yang terbatas, terutama minyak, secara bertahap menurun seiring waktu, ketersediaan listrik yang sangat bergantung pada sumber daya ini untuk penghasilan akan secara tak terelakkan menurun. Karena listrik adalah nyawa yang menggerakkan seluruh operasi, ia memainkan peran penting dalam memastikan fungsi yang lancar dari mesin dan memfasilitasi berbagai tugas. Kegagalan dalam mempertimbangkan ketersediaan, keandalan, dan penggunaan sumber daya listrik secara optimal dapat menyebabkan gangguan dan ketidakefisienan dalam jadwal produksi. Studi ini bertujuan untuk berkontribusi dalam bidang sistem produksi terkait energi dengan mengusulkan pendekatan baru yang menggabungkan model untuk pemprofilan konsumsi energi. Model yang diusulkan ini menggunakan representasi blok energi, dengan mempertimbangkan berbagai kondisi selama proses manufaktur, yaitu: Turning-on, Idle, Processing, Turning-off, dan Off, yang semuanya mengonsumsi energi. Selain itu, studi ini memperkenalkan konsep sub-kondisi transien untuk setiap kondisi, yang belum dieksplorasi dalam penelitian sebelumnya. Pendekatan ini memungkinkan pemahaman yang lebih akurat dan komprehensif tentang konsumsi energi dalam sistem produksi, membuka jalan bagi pengembangan strategi optimalisasi energi yang efisien. Lebih lanjut, studi ini mencakup formulasi matematis untuk membantu pengambilan keputusan mengenai apakah lebih menguntungkan untuk menjaga mesin diam atau mematikannya, dengan mempertimbangkan konsumsi energi. Untuk memvalidasi model yang diusulkan, empat set data jadwal produksi yang berasal dari data aplikasi dunia nyata digunakan. Dataset ini dimodifikasi untuk menciptakan empat skenario yang berbeda, masing-masing mewakili berbagai kondisi konsumsi energi dan penggunaan sub-kondisi transien. Hasil dari skenario ini menunjukkan bahwa representasi konsumsi energi yang paling lengkap, dengan mempertimbangkan sub-kondisi transien, memberikan keamanan yang lebih kuat dalam pemodelan penggunaan energi. Namun, penting untuk diakui bahwa menggabungkan kondisi tambahan ini menimbulkan tantangan dalam hal kompleksitas pemodelan. Meskipun demikian, model yang diusulkan menawarkan wawasan berharga untuk mengelola penggunaan energi secara efektif, meminimalkan gangguan potensial, dan memaksimalkan penggunaan sumber daya energi yang tersedia dalam batasan ketersediaan listrik yang terbatas. Dengan memanfaatkan penelitian ini, industri dapat mengambil keputusan yang berinformasi untuk mengoptimalkan konsumsi energi mereka, berkontribusi pada sistem produksi yang lebih berkelanjutan dan efisien. ......As the production of finite fossil fuels, particularly oil, gradually declines over time, the availability of electricity, which heavily relies on these resources for generation, will inevitably diminish. Since electricity is the lifeblood powering the entire operation, it plays a vital role in ensuring the smooth functioning of machinery and facilitating various tasks. Failing to consider the availability, reliability, and optimal utilization of electricity resources can lead to disruptions and inefficiencies in production schedules. This study aims to contribute to the field of energy-related production systems by proposing a novel approach that incorporates a model for profiling energy consumption. The proposed model utilizes the energy block representation, taking into account various states during the manufacturing process, namely: Turning-on, Idle, Processing, Turning-off, and Off states, which all consume energy. Additionally, the study introduces the concept of a transient sub-state for each state, which has not been explored in previous research. This approach enables a more accurate and comprehensive understanding of energy consumption in production systems, paving the way for the development of efficient energy optimization strategies. Furthermore, the study includes a mathematical formulation to aid in decision-making regarding whether it is more beneficial to keep a machine idle or turn it off, considering energy consumption. To validate the proposed model, four sets of production schedule data derived from real-world application data were utilized. These datasets were modified to create four distinct scenarios, each representing different states of energy consumption and the usage of transient sub-states. The results of these scenarios demonstrate that the most complete representation of energy consumption, considering transient sub-states, provides a stronger safeguard in modeling energy usage. However, it is essential to acknowledge that incorporating these additional states poses challenges in terms of modeling complexity. Nevertheless, the proposed model offers valuable insights for effectively managing energy usage, minimizing potential disruptions, and maximizing the utilization of available energy resources within the constraints of limited electricity availability. By leveraging this research, industries can make informed decisions to optimize their energy consumption, contributing to more sustainable and efficient production systems.

Abstrak :
[The topic of this book is known as dynamic scheduling, and is used to refer to three dimensions of project management and scheduling : the construction of a baseline schedule and the analysis of a project schedule’s risk as preparation of the project control phase during project progress. This dynamic scheduling point of view implicitly assumes that the usability of a project’s baseline schedule is rather limited and only acts as a point of reference in the project life cycle. Consequently, a project schedule should especially be considered as nothing more than a predictive model that can be used for resource efficiency calculations, time and cost risk analyses, project tracking and performance measurement, and so on., The topic of this book is known as dynamic scheduling, and is used to refer to three dimensions of project management and scheduling : the construction of a baseline schedule and the analysis of a project schedule’s risk as preparation of the project control phase during project progress. This dynamic scheduling point of view implicitly assumes that the usability of a project’s baseline schedule is rather limited and only acts as a point of reference in the project life cycle. Consequently, a project schedule should especially be considered as nothing more than a predictive model that can be used for resource efficiency calculations, time and cost risk analyses, project tracking and performance measurement, and so on.]

Abstrak :
Penjadwalan produksi yang baik adalah penjadwalan yang dapat membuat arus produksi dapat berjalan lancar dan sesuai dengan waktu yang telah direncanakan, sehingga ketika penjadwalan dan perencanaan produksi yang kurang efektif diperbaiki dan dikembangkan sebaik mungkin, kelancaran produksi dan pemenuhan permintaan produksi juga akan berubah menjadi semakin baik. Tujuan dari penelitian ini adalah melakukan analisis, perhitungan dan penentuan metode penjadwalan Job Shop Scheduling yang tepat antara LPT sebagai metode penjadwalan yang berlaku saat ini di perusahaan kemasan fleksibel di Cikarang, SPT, FCFS, EDD atau Johnson's Method serta melakukan perbaikan SOP penjadwalan produksi yang berlaku menjadi SOP penjadwalan rekomendasi yang disesuaikan dengan metode penjadwalan produksi yang baru. Hasil yang didapat adalah metode prioritas pengurutan menggunakan SPT lebih baik dibandingkan metode LPT sebagai metode yang berlaku di perusahaan saat ini, EDD, FCFS, dan Johnson's Method. Implementasi dari perubahan metode dari LPT menjadi SPT dapat dilakukan dengan cara merubah SOP penjadwalan yang berlaku menjadi SOP perusahaan rekomendasi. ......Good production schedule is the one that can make the product flow run smoothly and on time, so when we improved and developed the scheduling and production planning's problem as good as possible, it can improve the good production flow and the order fulfilment. The purpose of this research is to do an analysis, calculation and determine the right Job Shop Scheduling Method between LPT (as an existing scheduling method on flexible packaging company at Cikarang), SPT, FCFS, EDD, or Johnson's Method, and also to make an improvement from the production scheduling operational procedure that applies on this company into recommendation scheduling operational procedure which has been adapted to the new production scheduling method. The result that we obtained is priority sequencing method using SPT works better compared to the LPT method (the existing method), EDD, FCFS, and Johnson's Method. The implementation of changing LPT method to SPT method could be done by changing the production scheduling operational procedure that applies on this company into the scheduling operational procedure that has been recommend.