A state of the art system for managing time data in manual assembly

Hedman, Richard; Almström, Peter

doi:10.1080/0951192x.2017.1305501

Cited by 6 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The amount of publications in the area is lacking the perspective on industrial business cases and challenges hinder the real value from its implementation to become visible. As an example, in production planning and control, the acquisition and management of valid time data has not received enough attention in research despite its impact on production performance and its utilization in I4.0 applications (Hedman and Almström, 2017). Furthermore, a proper implementation of sensors in the manufacturing process enables automated data collection and reduces the need for manual data handling (Xu et al, 2018) allowing better planning and control of the manufacturing process.…”

Section: Introductionmentioning

confidence: 99%

Challenges of handling assembly information in global manufacturing companies

Johansson

Malmsköld²,

Fast-Berglund

et al. 2019

JMTM

View full text Add to dashboard Cite

Purpose The purpose of this paper is to describe challenges the manufacturing industry is currently facing when developing future assembly information systems. More specific, this paper focuses on the handling of assembly information from manufacturing engineering to the shop floor operators. Design/methodology/approach Multiple case studies have been conducted within one case company between 2014 and 2017. To broaden the perspective, interviews with additionally 17 large and global manufacturing companies and 3 industry experts have been held. Semi-structured interviews have been the main data collection method alongside observations and web questionnaires. Findings Six focus areas have been defined which address important challenges in the manufacturing industry. For manual assembly intense manufacturing company, challenges such as IT challenges, process challenges, assembly process disturbances, information availability, technology and process control, and assembly work instructions have been identified and hinder implementation of Industry 4.0 (I4.0). Originality/value This longitudinal study provides a current state analysis of the challenges the manufacturing industry is facing when handling assembly information. Despite the vast amount of initiatives within I4.0 and digitalization, this paper argues that the manufacturing industry needs to address the six defined focus areas to become more flexible and prepared for the transition toward a digitalized manufacturing industry.

show abstract

Section: Introductionmentioning

confidence: 99%

Challenges of handling assembly information in global manufacturing companies

Johansson

Malmsköld²,

Fast-Berglund

et al. 2019

JMTM

View full text Add to dashboard Cite

show abstract

Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0

Jeong,

Wiktorsson,

Park

et al. 2023

IFIP Advances in Information and Communication Technology

View full text Add to dashboard Cite

An Industry 4.0 approach to assembly line resequencing

Rossit

Tohmé

Frutos

2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Contemporary assembly line systems are characterized by an increasing capability to offer each client a different product, more tuned to her needs and preferences. These assembly systems will be heavily influenced by the advent of Industry 4.0 technologies, enabling to propose business models that allow the late customization of the products, i.e. the customer can modify attributes of its product once started the production of it. This business model requires the manufacturing tools able to make decisions online and negotiate with the customer the changes that can be carried out, according to the workload flowing through the production system. In this work we analyze the possibilities and limitations of this new paradigm. First, we show that industry 4.0 systems can autonomously manage the production management process, and then we present a framework based on tolerance planning strategies (Tolerance Scheduling Problem), to determine which changes can be carried out. The ability of resequencing the production process is also implemented in the case that the operations associated with late customization allow it (i.e., when intermediate buffers are available). This establishes a parallelism with the problem of non-permutation Flow Shop. We finally discuss future developments necessary to implement these procedures.

show abstract

A state of the art system for managing time data in manual assembly

Cited by 6 publications

References 43 publications

Challenges of handling assembly information in global manufacturing companies

Challenges of handling assembly information in global manufacturing companies

Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0

An Industry 4.0 approach to assembly line resequencing

Contact Info

Product

Resources

About