A New Mathematical Model for Flexible Flow Lines with Blocking Processor and Sequence-Dependent Setup Time

Tavakkoli–Moghaddam, Reza; Safaei, Nima

doi:10.5772/5226

Cited by 2 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…which is the materials that have had some work done to them but are not yet finished; f) Rework/scrap which represents the percentage of recycle or degrading as the products go through the manufacturing systems [34], g) Setup Time represents the time required to change a machine from making one product or service to making another. [35]. Simultaneous reduction setup times and lot sizes are the most effective way to reduce inventory levels and improve customerservice [36].…”

Section: Ps and Rs Controllersmentioning

confidence: 99%

Overview of finite capacity scheduling using biological control principles

2009

View full text Add to dashboard Cite

The changing manufacturing settings characterised by insistent competition globally and dynamics in process technology calls for new ways of enabling the survival of manufacturing systems by making them easily adaptable to facilitate the integration of new technologies and new functions to many manufacturing perturbations. Scheduling of processes and activities of manufacturing systems and services is a formidable task which aims at satisfying the demands, meeting due dates for products, and increasing throughput by reducing the setup times by applying appropriate control strategies. This paper gives an overview of process scheduling of resources for manufacturing systems and service provision using biological control principles. The scheduling technique proposed here strives at making manufacturing units autonomous thereby reducing the high levels of time required in manual planning of tasks. This paper investigates the biological control techniques that can be applied in manufacturing systems.

show abstract

Section: Ps and Rs Controllersmentioning

confidence: 99%

Overview of finite capacity scheduling using biological control principles

2009

View full text Add to dashboard Cite

show abstract

“…They also presented a new formulation for batch scheduling with various specific cutting constraints. Tavakkoli-Moghaddam and Safaei (2006) presented an intial idea to consider both the blocking processor and sequence dependent setup time in flexible flow lines. Kis and Pesch (2005) provided a comprehensive and uniform overview on exact solution methods for flexible flow shops with branching, bounding, and propagating of constraints, under the following two objective functions: minimizing both the makespan and mean flow time of a schedule.…”

Section: Literature Reviewmentioning

confidence: 99%

Multiprocessor Scheduling

2002

Scheduling in Real‐Time Systems

View full text Add to dashboard Cite

Scheduling theory is concerned with the optimal allocation of scarce resources (for instance, machines, processors, robots, operators, etc.) to activities over time, with the objective of optimizing one or several performance measures. The study of scheduling started about fifty years ago, being initiated by seminal papers by Johnson (1954) and Bellman (1956). Since then machine scheduling theory have received considerable development. As a result, a great diversity of scheduling models and optimization techniques have been developed that found wide applications in industry, transport and communications. Today, scheduling theory is an integral, generally recognized and rapidly evolving branch of operations research, fruitfully contributing to computer science, artificial intelligence, and industrial engineering and management. The interested reader can find many nice pearls of scheduling theory in textbooks, monographs and handbooks by Tanaev et al. (1994a,b),

show abstract

A New Mathematical Model for Flexible Flow Lines with Blocking Processor and Sequence-Dependent Setup Time

Cited by 2 publications

References 41 publications

Overview of finite capacity scheduling using biological control principles

Overview of finite capacity scheduling using biological control principles

Multiprocessor Scheduling

Contact Info

Product

Resources

About