HeijunkaHeijunka is a lean manufacturingLean manufacturing technique that aims to level the production mix over a certain period of time, in order to achieve a more efficient and predictable production and to reduce inventory costs. However, in the context of mixed-model assembly lines, enforcing regularity in production can lead to a greater amount of unfinished work due to the variability in processing times of operations for different types of products. This work aims to evaluate the impact of considering the HeijunkaHeijunka technique in production sequencingSequencing. To do this, through a case studyCase study of a mixed-model assembly line with different production plans, two mixed-integer linear programmingMıxed integer linear programming models are evaluated by using the IBM-CPLEX solverIBM-CPLEX solver. The results show that enforcing regularity in production leads to production sequences with higher work overload, and therefore, less work completed. However, in the case studyCase study used, this drop in production represents a daily cost of €133 at worst, which is offset by the better balance of workloads throughout the workday and stocks.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Assessing the Impact of Heijunka Sequences in Mixed-Model Assembly Lines

  • Rocío Alfaro-Pozo,
  • Joaquín Bautista-Valhondo

摘要

HeijunkaHeijunka is a lean manufacturingLean manufacturing technique that aims to level the production mix over a certain period of time, in order to achieve a more efficient and predictable production and to reduce inventory costs. However, in the context of mixed-model assembly lines, enforcing regularity in production can lead to a greater amount of unfinished work due to the variability in processing times of operations for different types of products. This work aims to evaluate the impact of considering the HeijunkaHeijunka technique in production sequencingSequencing. To do this, through a case studyCase study of a mixed-model assembly line with different production plans, two mixed-integer linear programmingMıxed integer linear programming models are evaluated by using the IBM-CPLEX solverIBM-CPLEX solver. The results show that enforcing regularity in production leads to production sequences with higher work overload, and therefore, less work completed. However, in the case studyCase study used, this drop in production represents a daily cost of €133 at worst, which is offset by the better balance of workloads throughout the workday and stocks.