Hybrid journal (It can contain Open Access articles) ISSN (Print) 2042-4094 - ISSN (Online) 2042-4108 Published by Inderscience Publishers[451 journals]
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Authors:Qiaolun Gu, Mengyao Wang Pages: 233 - 250 Abstract: Recycling plays an important role in the reverse supply chain. However, the recycling quality of waste products is highly uncertain. As a related factor of reinvestment cost, quality difference affects the optimal decision in reverse supply chain. By constructing a pricing and profit model based on Stackelberg game theory, this paper studies the reverse supply chain composed by a single manufacturer and a single retailer. The model is designed to analyse the effect of quality difference on their reinvestment cost and optimal decision that results in the optimised reverse supply chain and improved profits. The result shows that the reinvestment cost is directly proportional to the quality level of recycling, inversely proportional to the quality cost coefficient. The higher the recycling quality level, the lower the cost coefficient, the greater the profit of members in the reverse supply chain system gets and the total profit of the system. Keywords: reverse supply chain; game theory; reinvestment cost; quality difference; optimal decision Citation: International Journal of Modelling in Operations Management, Vol. 8, No. 3 (2021) pp. 233 - 250 PubDate: 2021-08-02T23:20:50-05:00 DOI: 10.1504/IJMOM.2021.116790 Issue No:Vol. 8, No. 3 (2021)
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Authors:Xueqing Cui, Xiang Li, Shuxian Wang Pages: 251 - 265 Abstract: This paper investigates capacity reservation and capacity preparation issue in the semiconductor industry under stochastic demand. By comparing the manufacturer's optimal production capacity preparation in vertical integrated and decentralised supply chains, it shows that the manufacturer's production capacity preparation and the market satisfaction rate of the decentralised supply chain are lower. We propose a deductible reservation (DR) contract where the retailer reserves production capacity with a fee that can be deductible from the wholesale price. In the DR contract model, channel coordination and profit split are achieved respectively by setting expanded production capacity and unit reservation fee. The DR contract provides a risk-pooling mechanism not only motivates the manufacturer to expand production capacity but also preserves the retailer's flexibility. Keywords: semiconductor supply chain; capacity reservation; coordination; DR contract Citation: International Journal of Modelling in Operations Management, Vol. 8, No. 3 (2021) pp. 251 - 265 PubDate: 2021-08-02T23:20:50-05:00 DOI: 10.1504/IJMOM.2021.116799 Issue No:Vol. 8, No. 3 (2021)
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Authors:Yong Wai Juen, Dhaarshini Balachandran Pages: 266 - 298 Abstract: The NFC-enabled smartphone payment is an innovative mobile payment method that derived as a result of constant development in the mobile technologies. The prime purpose of this study is to address the diffusion of this innovative payment system among consumers in Malaysia. To attain this, a modified technology acceptance model and diffusion of innovation theory is used. The consumers' ideas to adopt this innovative payment system were examined from the angle of perceived usefulness, perceived ease of use, compatibility, trialibility and observability. This study contributes in both practical and theoretical aspect. This study has identified that the perceived usefulness, perceived ease of use and compatibility are the only significant predictors of this study. The perceived usefulness and perceived ease of use influences the intention to adopt directly, while the compatibility influences indirectly. Keywords: NFC technology; smartphone payment; technology acceptance model; TAM; mobile technologies; innovation; Malaysia; cashless Citation: International Journal of Modelling in Operations Management, Vol. 8, No. 3 (2021) pp. 266 - 298 PubDate: 2021-08-02T23:20:50-05:00 DOI: 10.1504/IJMOM.2021.116791 Issue No:Vol. 8, No. 3 (2021)
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Authors:Hu Xueqin, Jia Ruimin, Wang Yaqi Pages: 299 - 312 Abstract: With the transformation of China's economic growth mode and the upgrading of industrial structure, aviation logistics is becoming a strategic industry for China's economic and social development. Accurately predicting the dynamic trend of air cargo volume plays an important role in China's aviation logistics planning and construction, which will promote China's economic and social sustainable development. Due to the long-term trend, seasonal effect and uncertainty characteristics of air cargo volume, a single prediction model can not fit the trend of air cargo volume better, resulting in lower prediction accuracy. In this paper, based on the improved ARIMA-GARCH model, the Chengdu air cargo volume prediction model is established. In which, based on the ARIMA-GARCH model, the default white noise sequence in the GARCH model is replaced by the distribution estimated by the Bootstrap algorithm, thus improving the model's prediction precision. Keywords: air cargo volume prediction; improved ARIMA-GARCH model; Bootstrap algorithm Citation: International Journal of Modelling in Operations Management, Vol. 8, No. 3 (2021) pp. 299 - 312 PubDate: 2021-08-02T23:20:50-05:00 DOI: 10.1504/IJMOM.2021.116802 Issue No:Vol. 8, No. 3 (2021)
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Authors:Siyu Wang, Jingkun Wang, Xinyun Liu Pages: 313 - 330 Abstract: Based on the analysis of the characteristics of smart supply chain (SSC) and the four basic functions of enterprise management (plan, organisation, execution and control), this paper puts forward the dynamic mechanism, coordination mechanism, operation mechanism and risk mechanism of smart supply chain innovation (SSCI). In addition, this paper also takes JD as an example to analyse the organisational management mechanism (OMM) of SSCI. Finally, this paper analyses the logical relationship between the four mechanisms as the driving point, connection point, mechanism point and risk point of SSCI, and constructs a complete OMM framework of SSCI on this basis. This study can provide management guidance and theoretical support for the enterprises carrying out SSCI. Keywords: smart supply chain; SSC; organisational management mechanism; OMM; smart supply chain innovation; SSCI; JD; research framework Citation: International Journal of Modelling in Operations Management, Vol. 8, No. 3 (2021) pp. 313 - 330 PubDate: 2021-08-02T23:20:50-05:00 DOI: 10.1504/IJMOM.2021.116800 Issue No:Vol. 8, No. 3 (2021)
Hybrid journal (It can contain Open Access articles)
[451 journals]
