Simulation model for quantifying the environmental impact and demand amplification of a Product-Service System (PSS)

Wangphanich, P.

doi:10.1109/msie.2011.5707468

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…This paper investigated potential benefits of a resultoriented PSS approach for a service provider in the additive manufacturing industry. This is related to work done by Wangphanich [7], which showed how resultoriented PSS intensified the use of washing machines. The result was a reduction in the overall number of washing machines required to provide service to the same number of customers due to the higher intensity of machine use.…”

Section: Introductionmentioning

confidence: 58%

The Philosopher's Stone for Sustainability

Shimomura¹,

Kimita²

2013

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Since the 1980's, additive manufacturing (AM) has gradually advanced from rapid prototyping applications towards fabricating endconsumer products. Many small companies may prefer accessing AM technologies through service providers offering production services as result-oriented Industrial Product-Service System (IPSS) rather than investing in their own production line. This study investigated potential benefits of IPSS using system dynamics modeling to study resource demands between two situations: one where an IPSS approach is used and one that is the traditional ownership of production equipment. This study concluded that AM service providers with demand-varying customers could increase service performance and maximize use of production equipment.

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Section: Introductionmentioning

confidence: 58%

The Philosopher's Stone for Sustainability

Shimomura¹,

Kimita²

2013

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“…Bianchi et al (2009) put forth this approach to study motivations and barriers for the manufacturing transition towards PSS and to analyse the most influent drivers of servitisation. Wangphanich (2011) uses the same approach to study the impact of PSS offers on a long-term amplification of the demand, and on the economic as well as ecological performance of servitisation. Other works put the focus on the behaviour of the actors: autonomy, mutual influence among actors, decisional behaviours, etc.…”

Section: Simulation Methods Applied To Pssmentioning

confidence: 99%

Decision support system for servitization of industrial SMEs: a modelling and simulation approach

Chalal

Boucher

Marquès

2015

Journal of Decision Systems

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International audienceIndustry servitisation, i.e. the manufacturing industry transition towards the integration of services, provides for strong opportunities of new business model development and implementation. However, managing the industrial transformation to such business models means decision-makers are confronted with high decisional complexity. Such dramatic changes affect most enterprise performance drivers, and the interactions of the multiple business and industrial factors influencing the overall company performance make it very difficult for managers to specify consistent and efficient industrial configurations for their business processes. This context explains a concrete need for developing servitisation-dedicated decision support systems (DSS). The objective of the decision aid developed in this paper is to provide operational support which integrates the specific business and industrial features of so-called ‘product–service systems’ in order to study the interactions of different types of performance factors, notably market-oriented versus industrial-oriented factors. These developments are applied to a French Small and Medium Enterprise (SME). The key added values of the paper are (1) to specify a modelling and simulation approach associated to a generic simulator adaptable to various industrial contexts, then (2) to illustrate the concrete decision support provided in a case study of an SME in the business of remanufacturing electrical equipment. The case study highlights capacity management issues in a servitisation context

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“…Since, it is almost impossible that supply chain agent can accurately estimate the actual customer demand, the production volume is usually higher than actually needed by customers. The amplification of this demand estimation is explained by the bullwhip effect [26]. The data from the scale model kit distributor, provided by Winner Hobby C. Ltd., Shows that number of left over products vary from 17% to 85%.…”

Section: End Customer's Consumptionmentioning

confidence: 99%

Additive Manufacturing Technology Potential: A Cleaner Manufacturing Alternative

Kianian

Larsson

2015

Volume 4: 20th Design for Manufacturing and the Life Cycle Conference; 9th International Conference on Micro- And Nanosystems

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This paper focuses on an emerging manufacturing technology called Additive Manufacturing (AM) and its potential to become a more efficient and cleaner manufacturing alternative. This work is built around selected case companies, where the benefit of AM compared to other more traditional technologies is studied through the comparison of resource consumption. The resource consumption is defined as raw materials and energy input. The scope of this work is the application of AM in the scale model kit industry. The method used is the life cycle inventory study, which is a subtype of life cycle assessment (LCA). The result of the paper is the quantification of raw materials and energy consumption. The outcomes shows that AM has higher efficiency in terms of materials usage, as a higher proportion of materials ending up in the final product. Injection Molding (IM), on the other hand, wastes a significant proportion of raw materials in components that are not part of the final product. If the same or similar raw materials are used in both manufacturing methods, the advantage is clearly with AM. However, AM has higher energy consumption in comparison to the injection molding technique (IM). In terms of energy consumption, AM only has an advantage in this area when working with a very low production volume. The analysis of the energy consumption shows that most of the energy used in AM is to create the final product, while IM only uses a fraction of the total energy to produce the final product. AM technologies are still very new but have the potential for development and reduction of energy consumption in the future. Added to this potential is the higher materials usage efficiency of AM, which reduce the waste of materials and the energy, embedded in them. These two factors are likely to position AM as cleaner manufacturing alternative.

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Simulation model for quantifying the environmental impact and demand amplification of a Product-Service System (PSS)

Cited by 5 publications

References 9 publications

The Philosopher's Stone for Sustainability

The Philosopher's Stone for Sustainability

Decision support system for servitization of industrial SMEs: a modelling and simulation approach

Additive Manufacturing Technology Potential: A Cleaner Manufacturing Alternative

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