Exploring the links between simulation modelling and construction production planning and control: a case study on the last planner system

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL

Production Planning & Control Pub Date : 2021-06-10 DOI:10.1080/09537287.2021.1934588

M. A. Abdelmegid, V. González, M. O'Sullivan, C. Walker, M. Poshdar, L. Alarcón

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引用次数: 6

Abstract

Abstract Simulation modelling has been utilised as a decision-support tool for different production systems. However, simulation uptake in construction is lagging due to several challenges such as the extensive data requirements and modelling efforts in a simulation study. This paper aims at addressing this gap by introducing a framework that integrates the practices of simulation modelling with the Last Planner® System (LPS), which is a well-established production planning and control method. The framework focuses on exploiting the outputs of implementing the LPS to support building a valid simulation model. A case study is conducted to test the applicability of the proposed framework. Based on the findings of the study, it can be concluded that the LPS provides a promising avenue for integration with simulation modelling due to the shared processes and requirements between both methods, which may lead to minimised data requirements and modelling efforts for simulation, thus improving simulation uptake in the construction industry.

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探索模拟建模与建筑生产计划和控制之间的联系:最后计划系统的案例研究

仿真建模已被用作不同生产系统的决策支持工具。然而，由于一些挑战，例如模拟研究中的大量数据需求和建模工作，建筑中的模拟吸收滞后。本文旨在通过引入一个框架来解决这一差距，该框架将模拟建模的实践与Last Planner®System (LPS)相结合，LPS是一种完善的生产计划和控制方法。该框架的重点是利用实现LPS的输出来支持构建有效的仿真模型。通过案例研究验证了该框架的适用性。根据研究结果，可以得出结论，由于两种方法之间共享的过程和要求，LPS提供了与仿真建模集成的有希望的途径，这可能导致最小化数据需求和建模模拟工作，从而提高建筑业的仿真吸收。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Production Planning & Control 管理科学-工程：工业

CiteScore

19.30

自引率

9.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.

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