Marasini, R; Dawood, N S and Hobbs, B (2001) Stockyard layout planning in precast concrete products industry: A case study and proposed framework. Construction Management and Economics, 19(4), pp. 365-377. ISSN 01446193
Abstract
Management of the stockyard layout in the precast concrete products industry is very important for efficient storage and dispatch of the concrete products. The industry uses the make-to-stock principle in production to meet the seasonal demand (high in summer and low in winter) from the construction industry. In order to stabilize production output and cater for the huge demand in summer, stock is built up during the winter and spring period. The concrete products are kept in stock for 4-5 months. As 2000-3000 different precast concrete products are produced, and the products have different size, weight and handling requirements, determination of appropriate stockyard location for the products constitutes a comples process. This paper describes some ongoing research that is focused on identifying the appropriate methodology for designing and managing the stockyard layout that ensures efficient storage and dispatch of products, and provides ease of rotation of products within the yard. An integrated simulation model employing artificial intelligence methods has been proposed to evaluate 'what-if' scenarios and recommend a suitable methodology for the management of stockyard space for precast concrete products. This paper presents the findings from a case study, which includes work-study, frequency analysis of historical order data. The paper also introduces the specifications, processes and outline prototype of the proposed model. A general purpose simulation language (SIMAN) based software, 'Arena 4.0' (Systems Modelling Corporation), has been selected to develop the prototype simulation model and ILOG views and rules have been considered to generate a knowledge-based stockyard layout.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | precast concrete products; simulation; stockuard layout |
| Index terms: | construction industry, modelling, artificial intelligence, precast concrete, summer, case study, methodology, prototype, winter, specification |
| Subjects: | data collection methods, climate science, modelling and simulation, building materials, artificial intelligence, analytical methods, research methods, contractual condition, industry analysis |
| Topics: | Contract Administration, Digital Applications, Sustainability, Research Practice, Engineering Principles, Construction Materials |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here