A Knowledge-Based Production Control System to Accommodate Unscheduled Disruptions in the Manufacturing Process

Iwata, Kazuaki; Nemoto, Tetsuya; Sugimura, Nobuhiro

doi:10.1016/s0007-8506(07)61672-2

Cited by 11 publications

(1 citation statement)

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“…supplier credibility, in a discrete and asynchronous manner (Mulyono and Ishida, 2013). Similarly, another study proposes a knowledge-based production control system (Iwata et al ., 1988) against unscheduled disruptions by utilizing experiential knowledge. It suggests a counter plan sub-system that chooses appropriate counter plans by knowledge representation and accordingly draws inferences from it.…”

Section: Literature Reviewmentioning

confidence: 99%

A sustainable economic revival plan for post-COVID-19 using machine learning approach – a case study in developing economy context

Bhanot

Ahuja

Kidwai

et al. 2022

BIJ

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PurposeThe impact of COVID-19 has caused a recession in economies all over the world. In this context, the current study aims to analyze the prevailing economic scenario using a machine learning approach and suggest sustainable measures to recover the global economy taking the case of Make in India (MII) initiative of developing the economy as a base for the study.Design/methodology/approachA well-known topic modeling technique – Latent Dirichlet allocation (LDA) algorithm has been employed to extract useful information characterizing the existing state of selected sectors under the MII initiative alongside catalytic policies that have been implemented for the same. The textual data acts as the base of the study upon which suggestions are provided.FindingsThe findings obtained suggest that digital transformation will play a key role in concerned sectors to optimize the performance of manufacturing organizations. Additionally, inter-relationship between Key Performance Indicators for the economy's revival is crucial for effective utilization of foreign direct investment resources.Practical implicationsThe novel efforts to utilize MII initiative as a case present crucial information which can be used by policy makers and various other stakeholders across the globe to enhance decision-making and draft legislation across different sectors to empower the economy.Originality/valueThe study presents a novel approach to utilize the MII initiative by identifying important measures for crucial sectors and associated policies that have been presented by employing a text mining approach which in itself makes it unique in its contribution to research literature.

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Section: Literature Reviewmentioning

confidence: 99%