A novel manufacturing service model transformation method based on product lifecycle

Ding, Tao; Yan, Guangrong; Zhou, Zhenggan; Lei, Yi

doi:10.1007/s12083-022-01311-w

Cited by 4 publications

(1 citation statement)

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“…Manufacturing and logistics operations intelligently linked across industry lines create higher efficiency and adaptive lean manufacturing environment [4] in real time throughout the product lifecycle. Such approaches increase productivity, change the profile of the workforce, and enhance competitiveness [5]. In response to rapidly changing needs, the product development environment is becoming more open and the design process itself is becoming more complex [6].…”

Section: Introductionmentioning

confidence: 99%

Application of Methods of Decentralized Systems in Management in Lean Manufacturing

Krenický,

Dyadyura,

Dmitrishin

et al. 2023

Management Systems in Production Engineering

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The emergence and subsequent popularization of lean manufacturing have become one of the most significant for improving the efficiency and productivity of operations. The use of lean manufacturing tools and methods leads to the elimination of waste in the organization. Traditional information systems that allow organizations to share information about resources while managing process performance and traceability have a number of disadvantages such as security, interoperability, and transparency. Currently, distributed ledger technology (block-chain) is widely used for this purpose. This article presents a study of decentralized management of the implementation of a distributed ledger infrastructure, which is selected based on the characteristics of the production system. This study proposes a framework that analyzes lean production methods using simulation and data envelopment analysis (DEA) to accommodate the underlying multi-objective decision-making problem. The current study examines the impact of the simultaneous application of RCA technology, lean manufacturing methods, and distributed ledger technology on the total time, costs, and time of production processes.

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Section: Introductionmentioning

confidence: 99%