Mitigating yield uncertainty from the perspectives of contract manufacturing and technology licensing

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2024-08-22 DOI:10.1016/j.cie.2024.110515
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Abstract

In the low-carbon environment, green manufacturing by manufacturers often requires upstream to provide precision components. However, the lack of production experience of high-tech upstream leads to yield uncertainty. To explore the impact of yield uncertainty on green supply chain operations and analyze its solution, we propose a contract manufacturing mode with technology licensing and further consider pricing licensing or production licensing. The Stackelberg game is employed to construct these three models and a benchmark model without contract manufacturing. Moreover, we discuss the supplier’s mode preference by numerical analysis. Our findings reveal that the contract manufacturing mode with technology licensing mitigates the detrimental influence of yield uncertainty, boosting supplier profitability by 49.00% and manufacturer profitability by 61.76% when the expected yield rate is small or the expected yield rate is large with a small yield fluctuation. Furthermore, when both expected yield rate and profit-sharing ratio are low, increased yield fluctuation predominantly affects the downstream, whereas a win–win–win situation can be achieved through increased profit-sharing ratio. Additionally, compared with contract manufacturing mode with technology licensing, additional pricing licensing or production licensing augments supplier profitability by more than 10.56% in certain cases. Interestingly, improving production efficiency may not enhance the contract manufacturer profitability in both modes due to potential trade-offs with competition and the high cost. This paper contributes to the development of contract manufacturing policies, guiding suppliers and contract manufacturers towards achieving synergetic economic and environmental development. Future research could examine the applicability of the proposed contract manufacturing mode in various industries or identify additional factors affecting supplier profitability.

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从合同制造和技术许可的角度减少产量的不确定性
在低碳环境下,制造商的绿色制造往往需要上游提供精密部件。然而,上游高科技企业缺乏生产经验,导致良率不确定。为了探讨产量不确定性对绿色供应链运营的影响并分析其解决方案,我们提出了技术许可的合同制造模式,并进一步考虑了定价许可或生产许可。我们采用斯塔克尔伯格博弈法构建了这三种模式和一个无合同制造的基准模式。此外,我们还通过数值分析讨论了供应商的模式偏好。我们的研究结果表明,当预期良品率较小或预期良品率较大而良品率波动较小时,有技术许可的合同制造模式可减轻良品率不确定性的不利影响,使供应商的盈利能力提高 49.00%,制造商的盈利能力提高 61.76%。此外,当预期良品率和利润分享率都较低时,良品率波动的增加主要影响下游,而通过提高利润分享率则可以实现三赢。此外,与有技术许可的合同生产模式相比,在某些情况下,额外的定价许可或生产许可可使供应商的利润率提高 10.56% 以上。有趣的是,在这两种模式下,由于竞争和高成本的潜在权衡,提高生产效率可能不会提高合同制造商的盈利能力。本文有助于合同制造政策的制定,指导供应商和合同制造商实现经济和环境的协同发展。未来的研究可以探讨所建议的合同制造模式在不同行业的适用性,或找出影响供应商盈利能力的其他因素。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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