Appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. One type of scheduling problems is just-in-time (JIT) scheduling and in this area, motivated by JIT manufacturing, this study investigates a mathematical model for...

This paper presents a methodology to solve the Just-in-Time (JIT) sequencing problem for multiple product scenarios when set-ups between products are required. Problems of this type are combinatorial, and complete enumeration of all possible solutions is computationally prohibitive. Therefore, Genetic Algorithms are often employed to ® nd desirable, although not necessarily optimal, solutions. ...

Dynamic array-based languages such as MATLAB provide a wide range of built-in operations which can be efficiently applied to all elements of an array. Historically, MATLAB and Octave programmers have been advised to manually transform loops to equivalent “vectorized” computations in order to maximize performance. In this paper we present the techniques and tools to perform automatic vectorizati...

In a previous International Journal of Production Economics article, a comparative model was presented for inventory costs of purchasing under economic order quantity (EOQ) with quantity discounts and a just-in-time (JIT) order purchasing system. This paper expands the comparative model to include a relevant cost component not considered in the previous article. The results of the revised model...

We present a postpass instruction scheduling technique suitable for Just-In-Time (JIT) compilers targeted to VLIW processors. Its key features are: reduced compilation time and memory requirements; satisfaction of scheduling constraints along all program paths; and the ability to preserve existing prepass schedules, including software pipelines. This is achieved by combining two ideas: instruct...

This study built a simple, linear, four or fivecell production line model using the SIMAN/ Arena modeling tool. We used information from a case study of a real-world production line, augmented, as necessary, with details of machine operating characteristics not available in the original case study. The model was created in five variants: Traditional, JIT without kanban, JIT with kanban, TOC app...