Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization

Xiong, Yixuan; Du, Gang; Jiao, Roger J.

doi:10.1016/j.ijpe.2018.09.013

Cited by 39 publications

(12 citation statements)

References 70 publications

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“…And the features of the papers we mention below are summarised in Tables 3 and 4. A metric approach to evaluate the influence of design variety on the overall generated value of the product Jiao [9] DFMC is to achieve product variety by adopting modularity and commonality so as to reuse design among product families Smith et al [10] The modularity of product architecture improves the cost-effectiveness in mass customisation Hu et al [11] Summarise the concepts and technologies about DFMC, including the product family and product architecture Aggarwal et al [12] Develop a module-based service family design for mass customisation Kristianto et al [13] Consider the configuration and re-configuration of the product platform Wang et al [14] Investigate the relationships between product modularity and DFMC Bonev et al [15] Propose a formal approach for the design and customisation of the entire product family Yang and Jiao [16] Game-theoretical method to jointly decide the optimal configuration of the product family design and supply chain Marchesi and Matt [17] Consider the sustainability of mass production in the domain of product platform development Xu et al [18] Propose a decision support model to assist manufacturers to optimise the product design process Viana et al [19] Investigate the impact of product modularity on the DFMC Yang et al [20] Consider the components' selection and procurements Xiong et al [21] Modular product platform configuration and supply chain configuration Sabioni et al [22] Reconfigurable manufacturing systems, modular product design T A B L E 4 Summary of DFMC papers: process variety…”

Section: Design For Mass Customisationmentioning

confidence: 99%

“…A case study of the power transformer product family architecting subject to make-or-buy considerations is introduced to show the feasibility and effectiveness of the proposed model and algorithm. Xiong et al [21] formulate an integrated optimisation problem involving modular product platforming decisions with supply chain postponement as a Stackelberg game that needs joint optimisation for interactive evaluation of product modularity and supply chain fulfilment costs. Also, this work proposes a nested genetic algorithm like Liu et al [76] to solve the optimisation problem.…”

Section: Supplier Manufacture Cooperationmentioning

confidence: 99%

“…Xiong et al. [21] formulate an integrated optimisation problem involving modular product platforming decisions with supply chain postponement as a Stackelberg game that needs joint optimisation for interactive evaluation of product modularity and supply chain fulfilment costs. Also, this work proposes a nested genetic algorithm like Liu et al.…”

Section: Design For Supply Chainsmentioning

confidence: 99%

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Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature

Hou

Gao

Chun

2021

IET Collab Intel Manufact

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This survey provides a review of the fundamental approaches to design for mass customisation (DFMC), design for manufacturing (DFM) and design for supply chains (DFSC). The key term here is design while mass customisation, manufacturing and supply chain are the contexts from which the respective design objectives are derived. While these three areas of design are closely related, they have different focusses, which is reflected in the broader range of approaches proposed in the literature. The authors look at the literature through the lens of the product, process, and supply chain optimisation, with a variety of objectives ranging from improving product quality and variety while reducing costs, minimising environmental impacts and optimising supplier manufacture cooperation. In addition to the reviews of the approaches to DFMC, DFM and DFSC, recommendations on their practical system implementations are provided. While the authors acknowledge that the richness of the literature of each of the three design areas warrants a dedicated literature review, the main purpose of this survey is to pursue an integrated view on the three design issues faced by modern manufacturers and provide them and other related practitioners with a summary of representative approaches in the literature. Although it was not intended to conduct an exhaustive literature review of the literature, researchers from academia may still find the work useful by looking at the interactions of the three design areas from the perspective of joint-decision making, which is the angle from which the literature is approached.

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Section: Design For Mass Customisationmentioning

confidence: 99%

Section: Supplier Manufacture Cooperationmentioning

confidence: 99%

Section: Design For Supply Chainsmentioning

confidence: 99%

See 1 more Smart Citation

Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature

Hou

Gao

Chun

2021

IET Collab Intel Manufact

View full text Add to dashboard Cite

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“…On the other hand, some authors claim that it is possible to increase variety without affecting the fill rate. Alternatives such as modularity (Pero et al , 2010), process standardization (Salvador et al , 2002), manufacturing flexibility (Rajagopalan and Xia, 2012), mass customization (ElMaraghy et al , 2013) and postponement (Er and MacCarthy, 2006; Xiong et al , 2018) are widely used to provide greater product variety and good fill rate at the same time (Appelqvist and Gubi, 2005). Considering that alignment of new products and supply chains is key for success (Pero et al , 2010), practices related to the design-for-variety (DFV) may also provide some positive impact on service performance (Boer and Boer, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

The impact of product variety on fill rate, inventory and sales performance in the consumer goods industry

Santos

Sampaio

Alliprandini

2020

JMTM

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PurposeThe impact of product variety decisions on fill rate, inventory and sales performance in a consumer goods company has been examined. From a marketing perspective, it is possible to leverage sales, reach new segments and consequently increase competitiveness when there is a greater product variety on the market. However, operations and logistics professionals indicate potential impacts on the supply chain, such as production, storage and distribution complexity. The nature of the product variety-cost-sales performance relationship is not clear, and empirical evidence about whether and how operations cost and sales performance increases with variety is inconclusive.Design/methodology/approachThe multiple linear regression and the Tobit regression techniques were applied over a seven-year horizon of data from a business intelligence platform of a consumer goods company.FindingsOur results show that sales performance is negatively associated with product variety. The total effect of product variety on sales performance has been examined, including both the direct effect and the indirect effect through inventory and fill rate. Therefore, the findings provide a comprehensive understanding of the impact of product variety on operations and sales performance.Originality/valueSeveral studies have researched the impact of product variety on fill rate, inventory and sales performance separately; however, the research of the impact and the relationship of these factors is scarce and limited.

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“…With the technology improvements, platforms are widely used in economic life (Anderson et al, 2013;Cheng et al, 2019). Firms are willing to join platforms to generate economic benefits (Zhang, 2015;Xiong et al, 2018;Du et al, 2019). Just as Cusumano (2010) says, firms that seek for "platform" strategies are increasingly at an advantage.…”

Section: Introductionmentioning

confidence: 99%

Government investment strategy and platform pricing decisions with the cross-market network externality

Dou

2020

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Purpose Considering the cross-market network externality, this paper aims to explore the platform’s pricing decisions and its optimal profit under the given government investment, and then investigate the investment decision to improve social responsibility, which is measured by the social welfare. Design/methodology/approach When exploring the optimal pricing decisions under the given government investment, extreme value theory and sensitive analysis are used. When investigating the investment level, game theory and optimization method are used. Numerical examples are conducted to further illustrate the results. Findings First, after considering the government investment, whether the buyers and the sellers are charged depends on the investment level and the difference of the cross-market network externality (CNC) of the sellers and the buyers. Second, the optimal price on the sellers is decreasing (increasing) in the CNC of the buyers (sellers). The optimal price on the buyers is significantly affected by the investment level. Finally, the government investment is win-win for both the platform and the government, and Chinese Government should invest on the sellers heavily. Originality/value This study specifies the role of the government investment on the sellers in determining the platform’s pricing decisions and the improvement of the social responsibility, which is measured by social welfare.

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Modular product platforming with supply chain postponement decisions by leader-follower interactive optimization

Cited by 39 publications

References 70 publications

Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature

Design for mass customisation, design for manufacturing, and design for supply chain: A review of the literature

The impact of product variety on fill rate, inventory and sales performance in the consumer goods industry

Government investment strategy and platform pricing decisions with the cross-market network externality

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