Although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. But, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. This paper considers the problem of scheduling no-idle hybrid flow shops. A mixed integer linear programming model is first developed to mathematically form...

In a distributed system or communication network tasks may need to be executed on more than one processor. For time-critical tasks, the timing constraints are typically given as end-to-end release-times and deadlines. This paper describes algorithms to schedule a class of systems where all the tasks execute on different processors in turn in the same order. This end-to-end scheduling problem is...

We investigate the problem of on-line scheduling open shops of two and three machines with an objective of minimizing the schedule makespan. We 1rst propose a 1.848-competitive permutation algorithm for the non-preemptive scheduling problem of two machines and show that no permutation algorithm can be better than 1.754-competitive. Secondly, we develop a (27=19)-competitive algorithm for the pr...

A common situation arising in flow shops is that the job processing order must be same on each machine; this referred to as a permutation shop scheduling problem (PFSSP). Although many algorithms have been designed solve PFSSPs, machine availability typically ignored. Healthy conditions are essential for production process, which can ensure productivity and quality; thus, deteriorating effects ...

General Optimization Methods Mathematical Programming, Constraint Programming, Heuristics Problem Specific Algorithms (Dynamic Programming, Branch and Bound) Scheduling Single and Parallel Machine Models Flow Shops and Flexible Flow Shops Job Shops Resource-Constrained Project Scheduling Timetabling Interval Scheduling, Reservations Educational Timetabling Workforce and Employee Timetabling Tra...

This paper studies a new generalization of the regular permutation flowshop scheduling problem (PFSP) referred to as the distributed permutation flowshop scheduling problem or DPFSP. Under this generalization, we assume that there are a total of identical factories or shops, each one with machines disposed in series. A set of n available jobs have to be distributed among the factories and then ...

Abstract System-wide optimization of distributed manufacturing operations enables process improvement beyond the standalone and individual optimality norms. This study addresses production planning a system consisting three stages: parts (subcomponents), assembly components in Original Equipment Manufacturer (OEM) factories, final products at product manufacturer’s factory. Distributed Three St...