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The paper discusses the assignment of security clearances to employees in a security conscious organisation. New approaches are suggested for solving two major problems. First, full implementation of the “need‐to‐know” principle is provided by the introduction of data access statements (DAS) as part of an employee’s job description. Second, for the problem of setting up border points between different security clearances, the paper introduces a fuzzy set model. This model helps to solve this problem, effectively connecting it with the cost of security.

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.

Wide implementation of computer‐based operations management systems now faces a new information problem. In many manufacturing companies the management system consists of several disconnected subsystems. Each subsystem uses its own database, which is physically situated in a PC of a specific manager. Each subsystem represents one or several managerial problems, which are being solved regularly at given intervals of time. The multiple data transfers between the databases are performed manually, and this reduces the efficiency of the system and the possibilities for its development. Implementation of file servers only place databases under one roof but does not automatically provide transfer of data. To unite the system effectively in a network environment, a scheduling model has been developed, which uses an information model of the operations management process and a system clock as a basis for its functioning.

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.