Quick Response Manufacturing

Suri, Rajan

doi:10.4324/9781482278101

Cited by 236 publications

(19 citation statements)

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“…The second factor, card's information quality (factor 13), although not identified in the selected studies, presents vast material in the literature (e.g. Suri, 1998;Lage Junior and Godinho Filho, 2010;Serrato, 2016). Therefore, it does not present a different result from literature.…”

Section: Soft Factorsmentioning

confidence: 94%

Critical soft factors for card-based production systems implementation: A multi-method study

Bagni

Filho

Tortorella

et al. 2021

BJO&PM

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Goal: Although card-based systems are a mature topic in literature, studies have focused mainly on how to optimize parameter of each system. The influential of human factors in the implementation of those systems have rarely been evaluated. Therefore, this study aims to understand what are the critical soft factors for a successful card-based systems implementation.Design / Methodology / Approach: A multi-method study is used in this research, combining systematic literature review, longitudinal case study, content analysis, interviews with experts and validations with two different groups. Results:The paper proposes a list of 15 soft factors critical to a successful implementation of cardbased systems categorized in a "house framework" according to the level of analysis each factor is included. Limitations of the investigation:A single case study, although longitudinal, was conducted to proposed the list of factors. Therefore, further studies should be conducted to adapt the list to other organizations and contexts. Practical implications:Following the proposed list of factors, managers can increase the success in implementing a card-based system in their organizations.Originality / Value: This study combines different research methods in a unique way, since in the researchers' view, an individual method was not sufficient to answer the proposed research question. Moreover, the case study reported a failure implementation of a card-based system, a rare addition to literature which mainly presented success cases.

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Section: Soft Factorsmentioning

confidence: 94%

Critical soft factors for card-based production systems implementation: A multi-method study

Bagni

Filho

Tortorella

et al. 2021

BJO&PM

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“…For this purpose, a second visit to the company was happened objectifying mainly to execute the QRM detective technique. According to Suri (1998) this technique consists in searching for and finding opportunities of improvement aiming to find the root cause of the problem.…”

Section: Methodsmentioning

confidence: 99%

“…The solutions obtained and presented in the fourth and fifth stages of the process are founded in the MCT theories (Ericksen et al, 2007) and QRM detective (Suri, 1998), as well as in the professional experiences of the authors of this text.…”

Section: Methodsmentioning

confidence: 99%

Analysis and proposal of reduction of lead time in the process of cutting, loading and transportation in a sugar cane factory: a study case

Freitas

Borges

Martins³

et al. 2019

Gest. Prod.

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This article parts from the importance of sugarcane based energy to the Brazilian economy and, consequently, the important role of the process that involves cutting/loading/transportation (CLT) of cane in the supplies and production cost of sugar, alcohol and its derivates. For this purpose, a study case was carried in a sugarcane factory from São Paulo state, aiming to build a proposal that could reduce the lead time in the CLT process through the analysis of the Manufacturing Critical-Path Time (MCT) of the studied industry. With the data collected in the field visits, the MCT of one tone of sugarcane during its logistic process was done. This tool revealed a long waiting time of the cane waiting to be milled in the patio of the factory. Through the theory of dynamic of the systems it was concluded that this time was high due to the variability of the field as a consequence of an inefficient use of the harvester and the logistic system of dynamic allocation of the transportation resources ahead in the harvest. To make the harvester more efficient, a reduction of 40% of the laying time “awaiting transshipment” was proposed, which would result in a save of R$ 1.172.784,00/year. For this reduction five proposals were identified to be implemented in parallel: integration of the systems of the board computer and the traffic control system; integration of the board computers of the harvester and the transports; implementation of truck filling volume sensors; focus in the management of basis leaders; and, implementation of a multitask worker.

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“…Responsiveness is the ability of the manufacturing system to respond to customer requests within a minimal timeframe. The debate about the responsiveness of manufacturing operations has been going on for more than two decades, with its origins in the concept of time compression or time based competition [3]- [4], and it was later adopted by a range of companies and academic researchers [5]- [6]. These approaches are then categorised into three dimensions of responsiveness [7]: The ability to mitigate the impact of disruptions are related to the development of the above identified responsiveness capabilities.…”

Section: Introductionmentioning

confidence: 99%

A Game Theoretic Approach to assessing Additive Manufacturing as a Strategic Choice

Ahmed

Chan

McFarlane

2018

2018 International Conference on Production and Operations Management Society (POMS)

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This paper studies the impact of demand uncertainty and competition on a firms technology selection decision between Additive Manufacturing (AM) and conventional toolbased Dedicated Manufacturing (DM). The paper uses the gametheoretic approach presented in [57], and extends the model from 2 to n players making three sequential decisions under demand uncertainty: (i) choice of technology, (ii) capacity investment, and (iii) production quantities. We find that the conventional wisdom of choosing between flexible manufacturing technology and dedicated tool-based technology holds in the case of AM given there is no demand uncertainty. However, once we take the demand uncertainty into account, a game-theoretical analysis is essential to examine the profitability of switching manufacturing technologies to AM. The research will contribute towards a future empirical study and will help develop an industrially accessible decision support tool for the adoption of AM in a production environment.

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Quick Response Manufacturing

Cited by 236 publications

References 0 publications

Critical soft factors for card-based production systems implementation: A multi-method study

Critical soft factors for card-based production systems implementation: A multi-method study

Analysis and proposal of reduction of lead time in the process of cutting, loading and transportation in a sugar cane factory: a study case

A Game Theoretic Approach to assessing Additive Manufacturing as a Strategic Choice

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