Simulation-based sustainable manufacturing system design

Heilala, Juhani; Vatanen, Saija; Tonteri, Hannele; Montonen, Jari; Lind, Salla; Johansson, Björn; Stahre, Johan

doi:10.1109/wsc.2008.4736284

Cited by 130 publications

(88 citation statements)

References 8 publications

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“…The increasing laws and regulations, coupled with the recognition that developing more ecofriendly manufacturing operations is "the right thing to do" have put sustainability at or near the top of most manufacturing firms' agendas and enhanced the firm performance (Heilala et al, 2008). In line with this, Smith and Perks (2010) suggested that manufacturing firm can improve its competitiveness and firm performance through improvements in environmental performance as a result of compliance with environmental policy and regulation, at the same time address the environmental concern of customers and reduce the environmental impact of their products and services.…”

Section: Policy and Regulation And Firm Performancementioning

confidence: 99%

Sustainable manufacturing drivers and firm performance: Moderating effect of firm size

Roni

2017

Int. j. adv. appl. sci.

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The growing concern of the negative impact of manufacturing activities on triple bottom line has led researchers to embark on sustainable manufacturing study. Empirical evidence from previous research has demonstrated that sustainable manufacturing is a comprehensive strategy to minimize the negative impact to the environment. However, study on the link of sustainable manufacturing drivers and firm performance in Malaysia remains inconclusive, thus need for further investigation. Moreover, the possible explanation for the inconsistent relationship is due to the difference in firm size of manufacturing firms involved in sustainable manufacturing activities. This research intends to investigate the moderating effect of firm size on the relationship between SM drivers and firm performance. Data was collected from selected industries in manufacturing firms in Malaysia and analyzed with SEM-AMOS. The empirical result revealed that firm size moderates the relationship between market forces and strategic leadership with firm performance. The relationships between policy and regulation and resource availability with firm performance were not significantly moderated by firm size. The results indicate that larger firms will experience a higher rate of firm performance as having advantage of firm size compared to smaller firms.

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Section: Policy and Regulation And Firm Performancementioning

confidence: 99%

Sustainable manufacturing drivers and firm performance: Moderating effect of firm size

Roni

2017

Int. j. adv. appl. sci.

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“…Recreation models produced by help of separate concepts in event simulation [13] help envisage the whole manufacturing system and examine possible environmental influences on the up-to-date system design bring about. This enables both systems designers and engineers to remake the system in order to increase its level of efficiency.…”

Section: Technology Challengesmentioning

confidence: 99%

Assessment of the Production, Technology and Marketing Challenges Facing Starch Producing Companies in Ghana

Bright¹,

Akomea²,

Owusu-Ansah³

2017

OJBM

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Companies in the starch manufacturing sector in Ghana have over the years being bedeviled with major problems that cut across all their spheres of operation especially production, technology and marketing. The research sought to unearth the extent to which these three major problems affect the operations of these companies. A census was conducted of the management of Ayensu Starch Company where the two management members were selected and interviewed. The research established that there are production, technology and marketing challenges hindering the operations of ASCo. Management of the company has over the years taken stringent measures to reduce the impact of some of these problems to the barest minimum.

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“…An example of such a combination is discrete event simulation (DES) and LCA. Various different examples of successful LCA-DES combinations have been carried out and presented before [29][30][31][32].…”

Section: Lca and Fisheriesmentioning

confidence: 99%

Assessing the Impact of Policy Changes in the Icelandic Cod Fishery using a Hybrid Simulation Model

Sigurðardóttir¹,

Johansson²,

Margeirsson³

et al. 2013

Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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Most of the Icelandic cod is caught in bottom trawlers or longliners. These two fishing methods are fundamentally different and have different economic, environmental, and even social effects. In this paper we present a hybrid-simulation framework to assess the impact of changing the ratio between cod quota allocated to vessels with longlines and vessels with bottom trawls. It makes use of conventional bioeconomic models and discrete event modelling and provides a framework for simulating life cycle assessment (LCA) for a cod fishery. The model consists of two submodels, a system dynamics model describing the biological aspect of the fishery and a discrete event model for fishing activities. The model was run multiple times for different quota allocation scenarios and results are presented where different scenarios are presented in the three dimensions of sustainability: environmental, social, and economic. The optimal allocation strategy depends on weighing the three different factors. The results were encouraging firststeps towards a useful modelling method but the study would benefit greatly from better data on fishing activities.

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Simulation-based sustainable manufacturing system design

Cited by 130 publications

References 8 publications

Sustainable manufacturing drivers and firm performance: Moderating effect of firm size

Sustainable manufacturing drivers and firm performance: Moderating effect of firm size

Assessment of the Production, Technology and Marketing Challenges Facing Starch Producing Companies in Ghana

Assessing the Impact of Policy Changes in the Icelandic Cod Fishery using a Hybrid Simulation Model

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