Abstract
<p>The cellular manufacturing technique is widely used in many industries. This research proposes an alternative to design and balance a cellular manufacturing system of an assembly company, with the purpose to obtain an optimal configuration under different criteria such as Process, Total Cost, Idle Time and Reliability. The methodology consists in: I) To obtain candidate solutions using optimization models where the objectives are to minimize Cycle Time and Total Cost II) To find the performance measures of each candidate solution using discrete-event simulation III) To choose the optimal configuration using the multi-criteria decision analysis ANP. The best configuration was found to have the bottleneck in the starting, a smoothness index in 0, the highest Reliability and Idle Time of 0%, although it was not the solution with the lower cost.</p>
Highlights
Lean manufacturing (LM) is a production philosophy that aims to reduce waste in a continuous improvement process, which involves principles, techniques, tools and measures [1]
Introduction: this study proposes a method to design and balance a cellular manufacturing system of a typical industrial company to obtain an optimal configuration in terms of the process, total cost, idle time and reliability criteria
This paper focuses on developing a method to design a cellular manufacturing system with parallel cells considering multi-lean measures, i.e., it is framed into an MOALBP
Summary
Lean manufacturing (LM) is a production philosophy that aims to reduce waste in a continuous improvement process, which involves principles, techniques, tools and measures [1]. Cappanera et al [42] developed a mixed-integer programming model for surgical scheduling with respect to three performance criteria; its strength was evaluated with a discrete-event simulation model Both authors [43], [44] agree that the NP-Hard complexity of the parallel assembly line balancing problem makes its solution almost impossible using traditional techniques and if another criterion is considered. In this sense, this paper focuses on developing a method to design a cellular manufacturing system with parallel cells considering multi-lean measures, i.e., it is framed into an MOALBP. There are two types of events: arrival and departure; a departure is the arrival for the task until the process is finished, and a final product (FP) with a flow time (FTFP) is obtained
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