We study problems of scheduling n unit-time jobs on m identical parallel machines, in which a common due window has to be assigned to all jobs. If a job is completed within the due window, then no scheduling cost incurs. Otherwise, a job-dependent earliness or tardiness cost incurs. The job completion times, the due window location and the size are integer valued decision variables. The objecti...

In this paper, we discuss scheduling problems in semiconductor manufacturing. Starting from describing the manufacturing process, we identify typical scheduling problems that can be found in semiconductor manufacturing systems. We describe batch scheduling problems, job shop scheduling problems, scheduling problems with secondary resources, multiple orders per job scheduling problems, and sched...

摘要 現場管制系統是ERP的主要子系統之一, 其主要功能是安排現場訂單的排程. 根據研 究,大部分現場的排程問題是屬於 Job Shop問 題. 所以過去幾十年來 Job Shop問題一直是 產業界與學術界重要的研究課題之一. 其間 雖有無數的論文發表, 但因缺少考慮現場實際 的狀況, 很少研究的成果可以用來解決現場的 排程問題. 本研究開發以 Tabu Search為主的 排程方法. 經以個人在美國工作現場所使用之 MRP II 系統所產生的資料驗證, 本方法確能 有效求解現場的排程問題. 關鍵字: Job Shop, Tabu Search Abstract Shop floor control system is a sub-system of the ERP system. Its major function is to generate daily schedules f...

The problem of finding good solutions to scheduling problems is very important to real manufacturing systems, since the production rate and production costs are very dependent on the schedules used for controlling the work in the system. Most research in scheduling focuses on optimisation of static problems, where all problem data are known before scheduling starts. However many real world opti...

Dynamic job shop scheduling (DJSS) problems are combinatorial optimisation problems that have been extensively studied in the literature due to their difficulty and their applicability to real-world manufacturing systems, e.g., car manufacturing systems. In a DJSS problem instance, jobs arrive on the shop floor to be processed on specific sequences of machines on the shop floor and unforeseen e...

In this paper we study the problem of energy-aware resource allocation for hosting long-term services or on-demand compute jobs in clusters, e.g., deployed as part of computing infrastructures. We formalize the problem as three constrained optimization problems: maximize job performance under power consumption constraints, minimize power consumption under job performance constraints, and optimi...

In this article a survey of studies on scheduling problems with a common due window assignment and earliness/tardiness penalty functions is presented. A due window is a generalization of the classical due date and describes a time interval in which a job should be finished. If a job is completed before or after the due window, it incurs an earliness or a tardiness penalty, respectively. In this...