Simultaneous optimisation of control factors in automated storage and retrieval systems and FMS using stochastic coloured Petri nets and the Taguchi method

Chincholkar, A. K.; Chetty, O. V. Krishnaiah

doi:10.1007/bf01178954

Cited by 20 publications

(11 citation statements)

References 16 publications

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“…In order to deal with one or more design issues for AS/RSs, methods ranging from simulation, analytical models, artificial intelligent approaches (e.g., Knapp and Wang, 1992;Chincholkar et al, 1994;Hsieh et al, 1998) to experimental approaches (e.g., Lim et al, 1996) have been proposed in the literature. We will use the classification as indicated in Table 1 in our discussion on solution procedures that assist in decision making for one or multiple physical design issues in combination with one or more control issues.…”

Section: Physical Designmentioning

confidence: 99%

“…Most of these papers consider manufacturing environments. Chincholkar and Krishnaiah Chetty (1996) use approaches as Petri Nets and the Taguchi method to simultaneously address the scheduling of jobs to an AS/RS system and the scheduling of jobs to machines in a flexible manufacturing system. The AS/RS is both responsible for storing and retrieving loads and for transferring them between machines.…”

Section: Physical Designmentioning

confidence: 99%

See 1 more Smart Citation

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

503

208

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Automated Storage and Retrieval Systems (AS/RSs) are warehousing systems that are used for the storage and retrieval of products in both distribution and production environments. This paper provides an overview of literature from the past 30 years. A comprehensive explanation of the current state of the art in AS/RS design is provided for a range of issues such as system configuration, travel time estimation, storage assignment, dwell point location, and request sequencing. The majority of the reviewed models and solution methods are applicable to static scheduling and design problems only. Requirements for AS/RSs are, however, increasingly of a more dynamic nature for which new models will need to be developed to overcome large computation times and finite planning horizons, and to improve system performance. Several other avenues for future research in the design and control of AS/RSs are also specified.

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Section: Physical Designmentioning

confidence: 99%

Section: Physical Designmentioning

confidence: 99%

A survey of literature on automated storage and retrieval systems

Roodbergen

Vis

2009

European Journal of Operational Research

503

208

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“…They present algorithms and procedures to support the optimization (e.g., storage allocation of materials, storage and retrieval sequencing) of the whole production system [7][8][9][10].…”

Section: Literature Overviewmentioning

confidence: 99%

Design and control of an AS/RS

Manzini

Gamberi

Regattieri

2005

Int J Adv Manuf Technol

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Automated storage/retrieval systems (AS/RSs) are a combination of equipment and controls which automatically handle, store and retrieve materials (components, tools, raw material and subassemblies) with great speed and accuracy. Consequently, they are widely used in industrial companies to manage products with cost-effective utilization of time, space and equipment. This paper presents a multi-parametric dynamic model of a product-to-picker storage system with class based storage allocation of products. Thousands of what-if scenarios are simulated in order to measure the impact of alternative design and operating configurations on the expected system performance and to identify the most critical factors and combinations of factors affecting the response of the system. Class based storage proves to be a very effective way of both reducing the picking cycle time and maximizing the throughput of the system. The rapid effectiveness of visual interactive simulation (VIS) in supporting the design (redesign) and control of new (existing) warehouses emerges, responding to the need for flexibility which modern companies need in order to adapt to strongly changing operating conditions quickly

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“…The obtained model is based on the colored timed Petri net (CTPN) approach (Jensen, 1995;Hsieh, HWang, & Chou, 1998). In this context the key contributions of the paper can be summarized as follows: A detailed formal model of the whole warehouse is built up, while the previous literature mainly considered the formal modelling of the individual components (Hsieh, HWang, & Chou, 1998) or only implemented a simplified model for simulation purposes Chincholkar & Krishnaiah Chetty, 1996).…”

Section: Introductionmentioning

confidence: 99%