Purpose

This study aims to introduce the model of implementation to run the smart production factories. The study also aims to investigate the Industry 4.0 technologies as enablers to deal with challenges in the way of implementation.

Design/methodology/approach

This contribution benefits from two teams of experts to evaluate the challenges and technologies of Industry 4.0. The Hanlon method is applied to evaluate, rank and prioritise the challenges which are initially scored by experts’ Team 1. Then, the adjacency matrix among enablers and challenges is extracted through the opinions of experts’ Team 2. The study also uses fuzzy cognitive map (FCM) to evaluate the real weights of technologies and challenges, rank and prioritise subsequently.

Findings

A total of 8 challenging obstacles and 24 key technologies have been evaluated. The findings reveals that recruit and retention of experienced managers, undefined return on investment and recruit and retention of multi-skilled workers are the most serious challenges in the way of implementing smart production factories. Furthermore, big data, IT-based management and Internet of Things are the top-ranked key enablers to face the challenges.

Originality/value

To the best of the authors’ knowledge, this study is one of the pioneering studies that uses Hanlon method to evaluate industrial challenges. Integrating Hanlon method and FCM leads to a comprehensive model of evaluation and ranking which is another novelty of this contribution. Although many research studies have been released to implement the smart factories, practical model of implementation for production factories is identified as a literature gap.

中文翻译：

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在工业 4.0 框架内实施智能生产工厂的混合模型

目的

本研究旨在介绍运行智能生产工厂的实施模型。该研究还旨在调查工业 4.0 技术作为应对实施方式挑战的推动因素。

设计/方法论/途径

这一贡献得益于两个专家团队评估工业 4.0 的挑战和技术。应用 Hanlon 方法对专家团队 1 最初打分的挑战进行评估、排序和优先级排序。然后，通过专家团队 2 的意见提取促成因素和挑战之间的邻接矩阵。该研究还使用模糊认知图（FCM）来评估技术和挑战的实际权重，随后进行排名和优先级。

发现

共评估了8个具有挑战性的障碍和24项关键技术。研究结果表明，经验丰富的管理人员的招聘和保留、投资回报的不确定性以及多技能工人的招聘和保留是实施智能生产工厂过程中最严峻的挑战。此外，大数据、信息化管理和物联网是应对挑战的首要关键推动力。

原创性/价值

据作者所知，这项研究是使用 Hanlon 方法评估工业挑战的开创性研究之一。Hanlon 方法和 FCM 的集成产生了一个综合的评估和排名模型，这是本贡献的另一个新颖之处。尽管已经发布了许多关于实施智能工厂的研究报告，但生产工厂的实际实施模型被认为是文献空白。