Integrating Reconfiguration Cost Into The Design of Multi-Period Scalable Reconfigurable Manufacturing Systems  

Oleh:

Spicer, Patrick ; Carlo, Hector J.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 129 no. 1 (2007), page 202-210.
Topik: costs; integrating; reconfiguration cost; design; multi - period; scalable reconfigurable; manufacturing systems

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.9 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

A reconfigurable manufacturing system (RMS) that is designed specifically to adapt to changes in production capacity, through system reconfiguration, is called a scalable - RMS. The set of system configurations that a scalable - RMS assumes as it changes over time is called its configuration path. This paper investigates how to determine the optimal configuration path of a scalable - RMS that minimizes investment and reconfiguration costs over a finite horizon with known demand. First, a practical cost model is presented to compute the reconfiguration cost between two scalable - RMS configurations. This model comprehends labor costs, lost capacity costs, and investment / salvage costs due to system reconfiguration and ramp up. Second, the paper presents an optimal solution model for the multiperiod scalable - RMS using dynamic programming (DP). Third, a combined integer programming / dynamic programming (IP - DP) heuristic is presented that allows the user to control the number of system configurations considered by the DP in order to reduce the solution time while still providing a reasonable solution. Numerical problems involving a two - stage and a three - stage scalable - RMS are solved using the DP and IP - DP methodologies. Experimental results suggest that the DP approach, although it is optimal, is not computationally efficient for large problem sizes. However, the combined IP - DP approach offers reasonable results with much less computational effort.

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