Suchergebnisse

Presents an analytic framework for processing planning in industries where fixed batch sizes are common. The overall optimum processing plan is shown to be located on an envelope between the optimum JIT plan and the optimum level plan. These concepts provide the framework for understanding the overall optimum plan, and the framework leads to an efficient heuristic. The approach is practical, illustrated by a case study from the food industry, which shows the place of overall optimum planning within the company's planning system and its implications for company performance.

Addresses the problem of implementing just‐in‐time (JIT) principles
in a processing shop organized in a batch manufacturing environment. The
focus is on a processing shop separated from an assembly shop by a parts
store. Presents a multi‐criteria variant of the capacitated lot‐sizing
model. The approach involves a pre‐emptive priority for JIT processing
schedules, and a secondary priority for desirable load profiles.
Solution properties are derived and used to facilitate the solution
process for both the primary and secondary criterion models. Load
profiles are assessed in the context of capacity requirements planning
as well as from the alternative viewpoint of providing feedback to
capacity planning through a consideration of capacity cushions. At both
planning levels the approach is shown to allow optimum resource
utilization without violating JIT principles. Presents optimization
procedures, including a heuristic with an analytic performance bound.