An integrated decision support system for global manufacturing co-ordination in the automotive industry

Liu, Shaofeng; Young, Robert I. M.; Ding, Lu

doi:10.1080/0951192x.2011.554869

Cited by 23 publications

(9 citation statements)

References 39 publications

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“…The key reason to have selected the automotive industry for the empirical study is based on the fact that vehicles are one of the most complex products and that the industry provides mature supply chains with a global nature. The evolution of the automotive global supply chains from the traditional tierbased model to modern integrator-based model has been discussed in the authors' previous publication (Liu, Young, and Ding 2011). Empirical results from the authors' recent research on KCM are presented in the next section.…”

Section: Methodsmentioning

confidence: 99%

A knowledge chain management framework to support integrated decisions in global supply chains

Liu

Moizer

Megicks

et al. 2013

Production Planning & Control

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Knowledge management has been identified as a key enabler to achieve organisation's value chain competitiveness. It, however, has been facing fresh challenges in a global supply chain setting. This paper proposes a global knowledge chain management (GKCM) framework that identifies and prioritises critical knowledge that a global supply chain can focus on to support integrated decisions. The framework explores three types of global context knowledge, namely global market knowledge, global capacity knowledge and global supply network configuration knowledge. Empirical study has been undertaken within the manufacturing industry to evaluate the GKCM framework. Analytic network process has been explored as a key method to assess the importance of the global knowledge constructs from supply chain managers' perspectives. A key contribution of the paper is that it advances existing knowledge chain management approaches within one organisation and its local supply chain to include the global context knowledge applicable to global manufacturing settings, and highlights how the GKCM framework can support global supply chain integrated decisions.

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Section: Methodsmentioning

confidence: 99%

A knowledge chain management framework to support integrated decisions in global supply chains

Liu

Moizer

Megicks

et al. 2013

Production Planning & Control

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“…Acar et al (2010) following the negative consequences pointed by Canbolat et al (2007), for non-co-ordinated decisions among different echelons, mainly the upstream ones, defended a centralised authority for the decision process. Liu et al (2011) explored an integrated decision mechanism with a link between activities, for global co-ordination across multiple locations. Wang et al (2011) used a co-ordination mechanism, based on a cost function and He and Zhao (2012) proposed a contract based model to support the multi-echelon co-ordination.…”

Section: Introductionmentioning

confidence: 99%

Integrated inventory valuation in multi-echelon production/distribution systems

Fernandes

Gouveia

Pinho

2013

International Journal of Production Research

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The pressure to reduce inventory has increased as competition expands, product variety grows, and capital costs increase. This investigation addresses the problem of inventory quantification and distribution within multi-echelon supply chains under market uncertainty and management flexibility. This approach is based on an optimisation model emphasising demand uncertainty and the relevant dimensions of network design as number of echelons, lead time, service level, and cost of processing activities. Overstock quantification enables the understanding of inventory level sensitivity to market uncertainty. A comparison among production sites and storage facilities revealed that higher downstream overstock levels decrease upstream echelons of uncertainty exposition. The contribution of this study relies on management's ability to establish inventory targets for each stocking point according to risk exposure and to promote the optimisation of working capital. Overall, this investigation increases knowledge related to the treatment of demand uncertainty in flexible and integrated supply chains

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“…However, global manufacturing has faced enterprises with challenges such as integration of manufacturing operations in different countries over the globe to achieve manufacturing efficiency (Feng and Wu 2009;Houshmand and Valilai 2012), evolving of a new structure and configuration of networks for distributed manufacturing enterprises (Manuj and Mentzer 2008;Yoo and Kumara 2010;Valilai and Houshmand 2010b;Liu, Young, and Ding 2011), enabling collaboration between production centres and manufacturing networks for competitive advantage (Shi 2003; Rodriguez Monroy and Arto 2010) and adoption of solutions to respond to the changing functional requirements of products in global distributed manufacturing enterprises in short period of time with cost-effective approaches (Hallgren and Olhager 2006;Hwang and Katayama 2009;Flowers and Cheng 2011). Moreover, global manufacturing is also willing for solutions to overcome the resulted global problems such as green product design and sustainable manufacturing that aims to improve the energy efficiency of manufacturing products and processes to overcome manufacturing environmental impacts (Kara, Manmeka, and Herrmann 2010;Luh, Chu, and Pan 2010).…”

Section: Introductionmentioning

confidence: 99%

“…This integration is limited by the technology limitation of current manufacturing systems (Hwang and Katayama 2009;Lebreton, Van Wassenhove, and Bloemen 2010). The integration of manufacturing processes is discussed in a wide range of topics such as integrating engineering design databases and product information (Jiao and Helander 2006), integration of business activities (Liu, Young, and Ding 2011), supply chain integration (Molina, Velandia, and Galeano 2007;Bachlaus et al 2008;Wang, Chan, and Pauleen 2010) and integration of manufacturing operations information analysis (Hernandez-Matias et al 2008).…”

Section: Introductionmentioning

confidence: 99%

A platform for optimisation in distributed manufacturing enterprises based on cloud manufacturing paradigm

Valilai

Houshmand

2014

International Journal of Computer Integrated Manufacturing

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The synergy of fundamental factors like changes in governmental policies, global expansions of the manufacturing industries and improvements in technology related to reliability of manufacturing information flow have created the global manufacturing revolution in the first years of the twenty-first century. Although the concept of global manufacturing enterprise has created benefits and opportunities for today's manufacturing enterprises, it has enforced enterprises to endure costs to adopt the global manufacturing solutions. Besides, considering the researches aimed to enable the global manufacturing paradigm, there is still a need for efficient solutions to fulfil the global product development requirements. In this paper, the essential aspects and requirements of a global manufacturing approach are studied. Considering the essential requirements such as integration of manufacturing operations over the globe, maintaining manufacturing networks in distributed manufacturing enterprises, collaboration of global manufacturing agents within the networks and enabling the optimal solution systems in global manufacturing enterprises, the paper reviews the dominant researches for the global manufacturing solutions. Considering the new paradigm for global manufacturing called cloud manufacturing discussed in the latest works of the authors, the paper proposes a new manufacturing platform called STRATUS Cloud for today's global manufacturing. The architecture of STRATUS Cloud is discussed based on the cloud manufacturing paradigm to fulfil the requirements of global manufacturing platform especially in enabling the global manufacturing for adoption of optimal solution systems. The STRATUS Cloud inherits capabilities from the recent authors' researches such as collaboration support of distributed manufacturing agents over the globe and the integration of the manufacturing operation based on the STEP standard while extending its application and fulfilling STEP's limitations. The STRATUS Cloud proposes a contribution for enabling the adoption of the optimal solutions through manufacturing processes. This contribution is achieved via a manufacturing cloud reconciled with the proposed platform structure. The capabilities of the STRATUS Cloud to enable optimisation systems are discussed in different case study scenarios.

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An integrated decision support system for global manufacturing co-ordination in the automotive industry

Cited by 23 publications

References 39 publications

A knowledge chain management framework to support integrated decisions in global supply chains

A knowledge chain management framework to support integrated decisions in global supply chains

Integrated inventory valuation in multi-echelon production/distribution systems

A platform for optimisation in distributed manufacturing enterprises based on cloud manufacturing paradigm

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