Abstract
This paper is concerned with a combined production-transportation scheduling problem. The problem comprises a simple, two-machine, automated manufacturing cell, which either stands alone or is a subunit of a complete flexible manufacturing system. The cell consists of two machines in series with a dedicated part-handling device such as a crane or robotic arm for transferring parts from the first machine to the second. The loading of a new piece on the first machine and the ejection of a finished piece from the second machine are performed by dedicated automated mechanisms. The introduction of parts into the system is done n at a time, whereby the parts are reshuffled into a sequence that minimizes completion time. All processing and transfer times are considered deterministic—a reasonable assumption for a cell comprising a robotic transfer device and two CNC machining units. What complicates the problem is the assumption of a non-negligible time for the transfer device to return (empty) from the second machine to the first. The operation is a generalization of a two-machine flowshop problem, and is formulated as a specially structured, asymmetric travelling salesman problem. An approximate polynomial time 0(n log n) algorithm is proffered. The procedure incorporates a lower bound using the Gilmore-Gomory algorithm for the no-wait, two-machine flowshop problem.
| Original language | English |
|---|---|
| Pages (from-to) | 625-632 |
| Number of pages | 8 |
| Journal | Journal of the Operational Research Society |
| Volume | 41 |
| Issue number | 7 |
| DOIs | |
| State | Published - 1 Jan 1990 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Algorithm
- Flowshop
- Production scheduling
- Work cell
ASJC Scopus subject areas
- Modeling and Simulation
- Strategy and Management
- Statistics, Probability and Uncertainty
- Management Science and Operations Research
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