Exact and heuristic procedures for the Heijunka-flow shop scheduling problem with minimum makespan and job replicas

Author:

Bautista-Valhondo JoaquínORCID

Abstract

AbstractIn this paper, a new problem of job sequences in a workshop is presented, taking into account non-unit demands for the jobs and whose objective is to minimize the total completion time for all the jobs ($${C}_{max}$$ C max ) satisfying a set of restrictions imposed on the problem to preserve the production mix. Two procedures are proposed to solve the new problem: Mixed Integer Linear Programming and a Metaheuristic based on Multistart and Local Search. The two proposed procedures are tested using instance set Nissan-9Eng.I, in both cases giving rise to highly satisfactory performance both in quality of solutions obtained and in the CPU times required. Through a case study of the Nissan engine manufacturing plant in Barcelona, our economic-productive analysis reveals that it is possible to save an average of € 1162.83 per day, manufacturing 270 engines, when we transform the current assembly line into a Heijunka-Flow Shop.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time;Journal of Industrial and Management Optimization;2024

2. Heijunka and Jidoka in Spanish Research. A Systematic Literature Review;Lecture Notes on Data Engineering and Communications Technologies;2024

3. Heijunka Mixed Model Sequencing Problem with no Buffers and Work Overload Minimization;Lecture Notes on Data Engineering and Communications Technologies;2024

4. Heijunka-levelling customer orders: a systematic literature review;International Journal of Production Management and Engineering;2023-11-26

5. Blocking Flowshop Scheduling Problem with Minimum Makespan and Quota Property;Lecture Notes on Data Engineering and Communications Technologies;2023

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