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"Master scheduling is the heartbeat of every manufacturing and distribution process. Done correctly it can save firms thousands of dollars and, at the same time, increase customer service and productivity. This book will help organizations establish rules of engagement and set the stage for maximum effectiveness of both Lean strategies and Six Sigma in the scheduling process. This book will draw on the author's extensive experience to describe the need for cooperation with the demand side of the organization and establish rules of engagement for high-performance results. It is a must-read for materials managers, productions supervisors and operations management executives. Donald H. Sheldon is currently president of the DHSheldon & Associates consulting firm in New York and is the author of the new book, Achieving Inventory Accuracy."

"Penelitian ini membahas masalah penjadwalan job shop. Pada sistem ini akan dilakukan kegiatan pemuatan barang ke dalam kontainer ekspor dimana waktu kedatangan dari kendaraan pembawa barangnya adalah bervariasi atau dinamis. Penjadwalan suatu kegiatan merupakan suatu permasalahan yang kompleks sehingga dibutuhkan metode yang tepat untuk mendapatkan solusi yang optimal untuk masalah ini. Metode penelitian yang digunakan adalah salah satu dari metode meta-heuristik, yaitu algoritma differential evolution (DE). Prinsip algoritma DE sesuai dengan analogi evolusi biologi, yaitu terdiri dari proses inisialisasi populasi, proses mutasi, proses pindah silang, dan proses seleksi. Algoritma ini memiliki beberapa keunggulan, yaitu konsepnya sederhana, mudah diaplikasikan, cepat dalam menghasilkan solusi, dan tangguh. Fungsi tujuan dari permasalahan ini ialah meminimumkan total biaya keterlambatan seluruh job. Penjadwalan yang diperoleh melalui algoritma differential evolution pada proses kegiatan pemuatan barang ekspor di perusahaan third party logistics dengan studi kasus PT.X menghasilkan total biaya lembur seluruh job sebesar Rp.8.244.000. Jadi, usulan jadwal menghasilkan penurunan total biaya keterlambatan sebesar 9% dibandingkan jadwal perusahaan.

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This research presents job shop scheduling. This system will imply for stuffing activity where the arrival time of truck is dynamic. Production scheduling is a complex problem so that appropriated method to produces the optimal solution of it is needed. Method of this research is one of metaheuristic algorithms, differential evolution (DE) algorithm. The principle of DE algorithm is based on analogy of biological evolution that consists of population initiation process, mutation process, crossover process, and selection process. This algorithm has some strengths because of its simply structure, ease to use, speed, and robustness. The objective function in this problem is to minimize total of tardiness costs of all jobs. The schedule that is obtained from differential evolution algorithm produces in stuffing process of PT. X as a Third Party Logistics company, the total of overtime costs are 8.244.000 rupiah, Thus, new schedule produces reduction of total of tardiness costs about 9% compared with schedule of company."

"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.

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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."

"[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.]"