A Computational Method for Identifying the Optimum Buffer Size in the Era of Zero Defect Manufacturing - Advances in Production Management Systems. Towards Smart and Digital Manufacturing Access content directly
Conference Papers Year : 2020

A Computational Method for Identifying the Optimum Buffer Size in the Era of Zero Defect Manufacturing

Abstract

Decreasing defects, waste time, meeting customer demand and being adaptable are the goals of a Zero Defect Manufacturing (ZDM) strategy. Scheduling is an important tool to perform that. It should take in account buffer size allocation. In this study, a method to solve the Buffer Sizing Problem (BSP), which is NP-hard problem. The current research work focuses on finding the optimal buffer allocation using Tabu-search (TS) algorithm. The goal is to minimize buffers’ sizes while maintaining a certain productivity. The evaluation of the alternative buffer solutions were performed using the following performance indicators; Makespan, Tardiness and the Buffers Cost. In the developed method the following are considered: multitasking machines subjected to non-deterministic failure, non-homogeneous buffer sizing, and non-sequential production line. The propose approach was tested via a real life industrial use case from a leading Swiss company in high precision sensors. The simulation results showed that the proposed methodology can effectively design the buffer strategy for complex production lines.
Fichier principal
Vignette du fichier
504014_1_En_51_Chapter.pdf (1.16 Mo) Télécharger le fichier
Origin : Explicit agreement for this submission
licence : CC BY - Attribution

Dates and versions

hal-03635663 , version 1 (20-06-2023)

Licence

Attribution

Identifiers

Cite

Foivos Psarommatis, Ali Boujemaoui, Dimitris Kiritsis. A Computational Method for Identifying the Optimum Buffer Size in the Era of Zero Defect Manufacturing. IFIP International Conference on Advances in Production Management Systems (APMS), Aug 2020, Novi Sad, Serbia. pp.443-450, ⟨10.1007/978-3-030-57997-5_51⟩. ⟨hal-03635663⟩
18 View
53 Download

Altmetric

Share

Gmail Facebook X LinkedIn More