Shaping Flexibility in Complex Manufacturing Systems

• Autorzy: Zwolińska B. , Zaręba A.

Identyfikatory

DOI

10.26411/83-1734-2015-3-39-6-18

• Języki publikacji: EN

Abstrakty

EN

Product customization and dynamically changing customer requirements cause multiple versions of the same product to be created with minute modifications, e.g.: different colour, material used, accessories, etc. Adapting to changing tendencies determines the manufacturer`s competitiveness. This article presents the analysis of the flexibility of a complex convergent production structure. The analysis has been conducted using the EPE (Every Part Every…) indicator. To maintain the accuracy of the system`s evaluation, the flexibility determining algorithm has been adjusted to the analyzed cell structure. A flexibility indicator EPE shows the lowest possible frequency at which the rotating production of a batch is repeated. In practice, it informs us after what time we may manufacture the same lot of goods again, taking into account the time necessary for delivering accepted orders. The conclusions from the conducted analyses helped to develop strategic development plans which assumed increasing the volume of the manufactured assortment both in number and variety.

Słowa kluczowe

EN

flexibility manufacturing; flexibility indicator EPE; convergent production structure

• Wydawca: Międzynarodowa Wyższa Szkoła Logistyki i Transportu we Wrocławiu
• Czasopismo: Logistics and Transport
• Rocznik: 2018
• Tom: Vol. 39, No. 3
• Strony: 65--72
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Zwolińska B.

• AGH University of Science and Technology, Poland

autor

Zaręba A.

• AGH University of Science and Technology, Poland

Bibliografia

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• [2] Duguay, C.R., Landry, S., Pasin, F., 1997. From mass production to flexible/agile production. International Journal of Operations and Production Management, 17(12), 1183–1195. https://doi.org/10.1108/01443579710182936.
• [3] Gurahoo N., Salisbury R. H., 2018. Lean and agile in small- and medium-sized enterprises. Complementary or incompatible?. South African Journal of Business Management, 49(1), a11, https://doi.org/10.4102/sajbm.v49i1.11.
• [4] Helber S., Inderfurth K., Sahling F., Schimmelpfeng K., 2018. Flexible versus robust lot-scheduling subject to random production yield and deterministic dynamic demand. IISE Transactions, 50(3), 217-229.
• [5] Qamar A., Hall M.A., Collinson S., 2018. Lean versus agile production: flexibility trade-offs within the automotive supply chain. International Journal of Production Research, Pub. on-line: https://doi.org/10.1080/00207543.2018.1463109.
• [6] Zhao C., Kang N., Li J., Horst J.A., 2018. Production Control to Reduce Starvation in a Partially Flexible Production-Inventory System. IEEE Transactions on Automatic Control, 63(2), 477-491.
• [7] Zwolińska B., Kubica Ł., 2017. Forming of the dynamics of the changes in convergent production system depending on size of production party. LogForum, 13(3), 301-311.
• [8] Zwolińska B., 2017. Shaping OEE and EPEI indicators in medium size rolling mill plant – 26th International Conference on Metallurgy and Materials – Metal 2017, Brno, Czech Republic, cop. TANGER Ltd., 2356–2361.