Most modern languages are implemented using Virtual Machines (VMs). While the best VMs use Just-In-Time (JIT) compilers to achieve good performance, JITs are costly to implement, and few VMs therefore come with one. The RPython language allows tracing JIT VMs to be automatically created from an interpreter, changing the economics of VM implementation. In this paper, we explain, through two conc...

Disasters may occur with either notice and no notice. The goal of this research was to provide a method for reproducible training using asynchronous training methods that could be measured to show fewer errors and resources required train responders using traditional synchronous training methods. The asynchronous training also called “just-in-time” training can save significant resources during...

This paper addresses the combined JIT scheduling and tool replacement problem on a machining centre. The objective is to determine job sequence, tool spare requirement and corresponding replacement intervals so that the total expected processing cost is minimized. Due to the combinatorial nature of the problem, a tabu search approach is proposed to find good and quick solutions. An example prob...

I explore the role of the Just-in-Time (JIT) inventory system in the increase of cash holdings among U.S. manufacturing firms. I first demonstrate the empirical importance of JIT in shaping cash policy. I then develop a model to analyze the mechanism through which JIT affects cash and quantify its impact. In the model, both cash and inventory can serve as working capital. As firms switch from t...

Virtual machines (VM) are promising as system software in sensor networks. A major impediment to their widespread acceptance is the performance overhead. Compiling VM bytecode to native code addresses this, but increases footprint and cost of distributing the code. We describe a remote Just-In-Time (JIT) framework that is effective in combining interpretation with native execution to achieve an...

This paper investigates the reduction of variance associated with a simulation output performance measure, using the Sequential Sampling method while applying minimum simulation replications, for a class of JIT (Just in Time) warehousing system called crossdocking. We initially used the Sequential Sampling method to attain a desired 95% confidence interval half width of ± 0.5 for our chosen per...

For Today's Logistics Manager, It's a Jungle out There! Customer-mandated programs with a wide variety of names (JIT, Quick Response, Vendor Managed Inventory, etc.) all share common requirements such as compliance labeling and shrinking order-cycle times. Internal demands to reduce inventory levels coupled with an ever-increasing number of stock keeping units (SKUs) makes the job even more dif...

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 consider a firm that manages its internal manufacturing operations according to a just-in-time (JIT) system but maintains an inventory of finished goods as a buffer against random demands from external customers. We formulate a model in which finished goods are replenished by a small fixed quantity each time period. In the interest of schedule stability, the size of the replenishment quantit...

Lean manufacturing has been widely adopted by many production companies. Apart from the operational difficulty associated with conversion from a traditional, functional based operation, adoption of Lean manufacturing involves significant organizational transformations. It requires formation of work teams, comprised of multi-skilled workers. The work teams are preferably self directed and need t...