Product Flexibility in Selecting Manufacturing Planning and Control Strategy
Abstract
The manufacturing systems capable of producing several products simultaneously are frequently subject to changes in product types due to demand fluctuations. In such systems a product flexible manufacturing planning and control (MPC) strategy is needed to change from one product type to another with minimum deterioration to system performance levels. The objective of this research is to develop a systematic analysis and evaluation approach in order to compare the MRP-push and JIT-pull strategies quantitatively based on a product flexibility measure. A new product flexibility measure is developed based on the sensitivity to change concept and presented together with the implementation in a real manufacturing system. Simulation is used to compare the performance of a JIT-pull with an MRP-push strategy based on performance measures, e.g. manufacturing lead time, work-in-process inventory, backorders, machine utilization and throughput. The performances of the two strategies are evaluated in two scenarios: (i) a single product; (ii) a second product is added (the first product being simple and the second being complex in terms of processing). The impacts of adding the second product on the performance measures for the push and pull strategies are then assessed. A multi-attribute evaluation scheme is used to compare the two strategies where the attribute values are the change in performance measures as the second product is added. The proposed product flexibility measure is utilized in the interpretation of the results.
Recommended Citation
E. Persentili and S. E. Alptekin, "Product Flexibility in Selecting Manufacturing Planning and Control Strategy," International Journal of Production Research, vol. 38, no. 9, pp. 2011 - 2021, Taylor and Francis Group; Taylor and Francis, Jun 2000.
The definitive version is available at https://doi.org/10.1080/002075400188465
Department(s)
Engineering Management and Systems Engineering
International Standard Serial Number (ISSN)
0020-7543
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Taylor and Francis Group; Taylor and Francis, All rights reserved.
Publication Date
15 Jun 2000