The purpose of this paper is to propose mathematical models represent a lot sizing and scheduling problem on multiple production lines that share scarce resources investigate the computational performance proposed models. main feature differentiates from others in literature decision which organize should be taken considering availability necessary resources. optimization criterion minimization...

Lot-sizing and scheduling are a well-known problem. However, there only few works addressing the problem in food industry. We propose mixed-integer-programming model for lot-sizing dairy production process. The latter is composed of standardisation tanks that can store different types flavours ultra-high temperature (UHT) lines. considers limited shelf life liquid bottleneck alternate between s...

Grid computing refers to the harnessing of computer systems to collaboratively solve a problem requiring a lot of Central Processing Unit (CPU) or data storage and processing far more than one system to handle. Grids are formed with resources owned by many organizations across borders and thus are not dedicated to single user or organization leading to security and trust issues. Various schedul...

A hybrid scheduling system of machines and lots was proposed. The system was composed of machine and lot scheduling systems which alternatively operate by an interval time during production. A machine agent corrects its own machine schedule when a process is behind schedule. The agent informs the schedule correction to the previous and next machine agents through peer-to-peer communication. The...

proper scheduling of tasks leads to optimum using of time and resources, inorder to obtaining best result. one of the most important and complicatedscheduling problems is open shop scheduling problem. there are n jobs in openshop scheduling problem which should be processed by m machines. purpose ofscheduling open shop problem is attaining to a suitable order of processing jobs byspecified mach...

This paper introduces an evolutionary algorithm as a procedure to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem (SITLSP). This problem can be found in some industrial settings, mainly soft drink companies, where the production process involves two interdependent levels with decisions concerning raw material storage and soft drink bottling. The challenge is to...

This paper proposes a Genetic Algorithm approach to solve the Synchronized and Integrated Two-Level Lot Sizing and Scheduling Problem (SITLSP). This problem can be found in some industrial settings, mainly soft drink companies, where the production process involves two interdependent levels with decisions concerning raw material storage and soft drink bottling. The challenge is to simultaneousl...

preventive maintenance scheduling is to perform a series of tasks that prevents or minimizes production breakdowns and improves the reliability. mathematical models have been developed to solve the preventive maintenance scheduling problem. there are several limitations in the prior work in this area of research. craft combinations are assumed to be given. the craft combination problem concerns...