Improving productivity and quality in manufacturing organizations

Gunasekaran, Angappa; Korukonda, Appa Rao; Virtanen, Ilkka; Yli‐Olli, P.

doi:10.1016/0925-5273(94)90022-1

Cited by 71 publications

(32 citation statements)

References 8 publications

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“…The necessity of performance evaluation has been stated by Gunasekaran, et al (1994) and Mefford and Bruun (1998), and performance measurement systems have been proposed by Hsu andLi (2009) andde Lima et al (2013). However, in the performance model, the plant capacity is not a performance to be estimated but a decision variable, or the qualitative necessity to consider the performance is stated.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a plant system prediction model for technology transfer

Yamane

Takahashi

Hamada

et al. 2015

International Journal of Production Economics

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Section: Literature Reviewmentioning

confidence: 99%

Developing a plant system prediction model for technology transfer

Yamane

Takahashi

Hamada

et al. 2015

International Journal of Production Economics

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“…There have been a number of recent studies [9,11,26,[39][40][41] undertaken to address the concept of total productivity [7] at an organisational level. Mohanty [24] discussed the issues of consensus and conflicts in understanding productivity from a strategic perspective.…”

Section: Competitiveness = (Competitive Assets)mentioning

confidence: 99%

Performance management through strategic total productivity optimisation

Rathore

Mohanty

Lyons

et al. 2004

Int J Adv Manuf Technol

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This paper presents that performance management of contemporary companies has to be oriented towards optimisation of total productivity as it has a very strong impact on competitiveness. Four contingent performance management strategies for total productivity optimisation have been modelled using the non-linear mathematical programming approach. A case study is presented to demonstrate the applications. Some significant learning points have been highlighted to provide direction for the managerial practice community.

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“…The core of their approach is a systems model that is based on matrices of productivity factors and organizational maturity factors that are derived from which individual levels of productivity may be determined and strategies for productivity improvement identified. In the same track, Gunasekaran et al [12] found out that most firms are interested in a strategic approach for improving productivity and quality in their organizations. Therefore, they attempted to provide a strategic framework for such efforts.…”

Section: Productivity Improvementmentioning

confidence: 99%

Productivity Improvement Model without Increasing Operation’s Risk and Fatigue

Al-Shayea¹,

Khalid²,

Khalid³

et al. 2011

ENG

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Productivity improvement of an operation without increasing operation risk and operation fatigue that increase the needed relaxation allowance is an important subject in process design. This research subject stimulates researchers to focus on improving the productivity of the whole production process by changing the technique of performing significant operations in the process. However, two important issues that affect the implementation of any new technique were not considered in the pervious research works. These are the risk magnitude of the new technique on the workplace environment and the fatigue level that affect human's health. In this paper, a model was developed that maximize the productivity of the production process by selecting the best technique to perform significant process operations among proper candidate techniques that improve these operations productivity while minimizing these operations risk and fatigue.

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Improving productivity and quality in manufacturing organizations

Cited by 71 publications

References 8 publications

Developing a plant system prediction model for technology transfer

Developing a plant system prediction model for technology transfer

Performance management through strategic total productivity optimisation

Productivity Improvement Model without Increasing Operation’s Risk and Fatigue

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